According to the 2021 American Business survey, only 4% of US companies currently utilize AI. CEO surveys indicate that 22% anticipate generative AI's impact on their company's labor requirements in the next three years. However, most expect to integrate AI within the next three to ten years. AI adoption may begin significantly affecting the US economy between 2025 and 2030 if these predictions hold.<\/p>\n\n\n\n
Goldman Sachs Research sees early AI adoption in a few industries, but broader macro effects are years away. Past technology breakthroughs, like electric motors and personal computers, took time to impact the economy significantly. These innovations needed about half of U.S. businesses to adopt them before results showed up in the macro data. <\/p>\n","post_title":"Goldman Sachs Forecasts AI Investments To Reach $200 Billion By 2025","post_excerpt":"","post_status":"publish","comment_status":"closed","ping_status":"closed","post_password":"","post_name":"goldman-sachs-forecasts-ai-investments-to-reach-200-billion-by-2025","to_ping":"","pinged":"","post_modified":"2023-08-05 15:08:17","post_modified_gmt":"2023-08-05 05:08:17","post_content_filtered":"","post_parent":0,"guid":"https:\/\/www.thedistributed.co\/?p=12906","menu_order":0,"post_type":"post","post_mime_type":"","comment_count":"0","filter":"raw"}],"next":false,"total_page":false},"paged":1,"class":"jblog_block_13"};
Investment in AI will be concentrated in four key sectors: AI model development, infrastructure supply, AI software creation, and enterprise end-users. Economists expect increased spending on AI software and hardware for model training and queries.<\/p>\n\n\n\n
According to the 2021 American Business survey, only 4% of US companies currently utilize AI. CEO surveys indicate that 22% anticipate generative AI's impact on their company's labor requirements in the next three years. However, most expect to integrate AI within the next three to ten years. AI adoption may begin significantly affecting the US economy between 2025 and 2030 if these predictions hold.<\/p>\n\n\n\n
Goldman Sachs Research sees early AI adoption in a few industries, but broader macro effects are years away. Past technology breakthroughs, like electric motors and personal computers, took time to impact the economy significantly. These innovations needed about half of U.S. businesses to adopt them before results showed up in the macro data. <\/p>\n","post_title":"Goldman Sachs Forecasts AI Investments To Reach $200 Billion By 2025","post_excerpt":"","post_status":"publish","comment_status":"closed","ping_status":"closed","post_password":"","post_name":"goldman-sachs-forecasts-ai-investments-to-reach-200-billion-by-2025","to_ping":"","pinged":"","post_modified":"2023-08-05 15:08:17","post_modified_gmt":"2023-08-05 05:08:17","post_content_filtered":"","post_parent":0,"guid":"https:\/\/www.thedistributed.co\/?p=12906","menu_order":0,"post_type":"post","post_mime_type":"","comment_count":"0","filter":"raw"}],"next":false,"total_page":false},"paged":1,"class":"jblog_block_13"};
Goldman Sachs Research estimates that AI investment might reach $100 billion in the U.S. and $200 billion globally by 2025. However, the near-term GDP impact is expected to be \"fairly modest\"<\/em> due to AI-related investment being a small share of the global GDP.<\/p>\n\n\n\n Investment in AI will be concentrated in four key sectors: AI model development, infrastructure supply, AI software creation, and enterprise end-users. Economists expect increased spending on AI software and hardware for model training and queries.<\/p>\n\n\n\n According to the 2021 American Business survey, only 4% of US companies currently utilize AI. CEO surveys indicate that 22% anticipate generative AI's impact on their company's labor requirements in the next three years. However, most expect to integrate AI within the next three to ten years. AI adoption may begin significantly affecting the US economy between 2025 and 2030 if these predictions hold.<\/p>\n\n\n\n \"Generative AI has enormous economic potential and could boost global labor productivity by more than 1 percentage point a year in the decade following widespread usage,\u201d <\/em>the report states.<\/p>\n\n\n\n Goldman Sachs Research estimates that AI investment might reach $100 billion in the U.S. and $200 billion globally by 2025. However, the near-term GDP impact is expected to be \"fairly modest\"<\/em> due to AI-related investment being a small share of the global GDP.<\/p>\n\n\n\n Investment in AI will be concentrated in four key sectors: AI model development, infrastructure supply, AI software creation, and enterprise end-users. Economists expect increased spending on AI software and hardware for model training and queries.<\/p>\n\n\n\n According to the 2021 American Business survey, only 4% of US companies currently utilize AI. CEO surveys indicate that 22% anticipate generative AI's impact on their company's labor requirements in the next three years. However, most expect to integrate AI within the next three to ten years. AI adoption may begin significantly affecting the US economy between 2025 and 2030 if these predictions hold.<\/p>\n\n\n\n \"Generative AI has enormous economic potential and could boost global labor productivity by more than 1 percentage point a year in the decade following widespread usage,\u201d <\/em>the report states.<\/p>\n\n\n\n Goldman Sachs Research estimates that AI investment might reach $100 billion in the U.S. and $200 billion globally by 2025. However, the near-term GDP impact is expected to be \"fairly modest\"<\/em> due to AI-related investment being a small share of the global GDP.<\/p>\n\n\n\n Investment in AI will be concentrated in four key sectors: AI model development, infrastructure supply, AI software creation, and enterprise end-users. Economists expect increased spending on AI software and hardware for model training and queries.<\/p>\n\n\n\n According to the 2021 American Business survey, only 4% of US companies currently utilize AI. CEO surveys indicate that 22% anticipate generative AI's impact on their company's labor requirements in the next three years. However, most expect to integrate AI within the next three to ten years. AI adoption may begin significantly affecting the US economy between 2025 and 2030 if these predictions hold.<\/p>\n\n\n\n NVIDIA claims the AI Workbench will be made available for early access soon. Interested parties can sign up through their website for notifications.<\/p>\n","post_title":"NVIDIA Announces \u201cAI Workbench\u201d; A New Platform for Building Generative AI","post_excerpt":"","post_status":"publish","comment_status":"closed","ping_status":"closed","post_password":"","post_name":"nvidia-announces-ai-workbench-a-new-platform-for-building-generative-ai","to_ping":"","pinged":"","post_modified":"2024-02-16 22:45:05","post_modified_gmt":"2024-02-16 11:45:05","post_content_filtered":"","post_parent":0,"guid":"https:\/\/www.thedistributed.co\/?p=13030","menu_order":0,"post_type":"post","post_mime_type":"","comment_count":"0","filter":"raw"},{"ID":12906,"post_author":"15","post_date":"2023-08-05 15:08:10","post_date_gmt":"2023-08-05 05:08:10","post_content":"\n \"Generative AI has enormous economic potential and could boost global labor productivity by more than 1 percentage point a year in the decade following widespread usage,\u201d <\/em>the report states.<\/p>\n\n\n\n Goldman Sachs Research estimates that AI investment might reach $100 billion in the U.S. and $200 billion globally by 2025. However, the near-term GDP impact is expected to be \"fairly modest\"<\/em> due to AI-related investment being a small share of the global GDP.<\/p>\n\n\n\n Investment in AI will be concentrated in four key sectors: AI model development, infrastructure supply, AI software creation, and enterprise end-users. Economists expect increased spending on AI software and hardware for model training and queries.<\/p>\n\n\n\n According to the 2021 American Business survey, only 4% of US companies currently utilize AI. CEO surveys indicate that 22% anticipate generative AI's impact on their company's labor requirements in the next three years. However, most expect to integrate AI within the next three to ten years. AI adoption may begin significantly affecting the US economy between 2025 and 2030 if these predictions hold.<\/p>\n\n\n\n With hundreds of large language models (LLMs) available for businesses to create their own AI tools, NVIDIA has focused on providing a platform to streamline the whole process, making it easier for companies to adopt customized AI. NVIDIA has collaborated with several leading AI companies such as Dell Technologies, HP Inc., Lambda, and Lenovo to provide the necessary infrastructure for such endeavors.<\/p>\n\n\n\n NVIDIA claims the AI Workbench will be made available for early access soon. Interested parties can sign up through their website for notifications.<\/p>\n","post_title":"NVIDIA Announces \u201cAI Workbench\u201d; A New Platform for Building Generative AI","post_excerpt":"","post_status":"publish","comment_status":"closed","ping_status":"closed","post_password":"","post_name":"nvidia-announces-ai-workbench-a-new-platform-for-building-generative-ai","to_ping":"","pinged":"","post_modified":"2024-02-16 22:45:05","post_modified_gmt":"2024-02-16 11:45:05","post_content_filtered":"","post_parent":0,"guid":"https:\/\/www.thedistributed.co\/?p=13030","menu_order":0,"post_type":"post","post_mime_type":"","comment_count":"0","filter":"raw"},{"ID":12906,"post_author":"15","post_date":"2023-08-05 15:08:10","post_date_gmt":"2023-08-05 05:08:10","post_content":"\n \"Generative AI has enormous economic potential and could boost global labor productivity by more than 1 percentage point a year in the decade following widespread usage,\u201d <\/em>the report states.<\/p>\n\n\n\n Goldman Sachs Research estimates that AI investment might reach $100 billion in the U.S. and $200 billion globally by 2025. However, the near-term GDP impact is expected to be \"fairly modest\"<\/em> due to AI-related investment being a small share of the global GDP.<\/p>\n\n\n\n Investment in AI will be concentrated in four key sectors: AI model development, infrastructure supply, AI software creation, and enterprise end-users. Economists expect increased spending on AI software and hardware for model training and queries.<\/p>\n\n\n\n According to the 2021 American Business survey, only 4% of US companies currently utilize AI. CEO surveys indicate that 22% anticipate generative AI's impact on their company's labor requirements in the next three years. However, most expect to integrate AI within the next three to ten years. AI adoption may begin significantly affecting the US economy between 2025 and 2030 if these predictions hold.<\/p>\n\n\n\n \u201cNVIDIA AI Workbench provides a simplified path for cross-organizational teams to create the AI-based applications that are increasingly becoming essential in modern business.\u201d<\/em>, said Manuvir Das, vice president of enterprise computing at NVIDIA.<\/p>\n\n\n\n With hundreds of large language models (LLMs) available for businesses to create their own AI tools, NVIDIA has focused on providing a platform to streamline the whole process, making it easier for companies to adopt customized AI. NVIDIA has collaborated with several leading AI companies such as Dell Technologies, HP Inc., Lambda, and Lenovo to provide the necessary infrastructure for such endeavors.<\/p>\n\n\n\n NVIDIA claims the AI Workbench will be made available for early access soon. Interested parties can sign up through their website for notifications.<\/p>\n","post_title":"NVIDIA Announces \u201cAI Workbench\u201d; A New Platform for Building Generative AI","post_excerpt":"","post_status":"publish","comment_status":"closed","ping_status":"closed","post_password":"","post_name":"nvidia-announces-ai-workbench-a-new-platform-for-building-generative-ai","to_ping":"","pinged":"","post_modified":"2024-02-16 22:45:05","post_modified_gmt":"2024-02-16 11:45:05","post_content_filtered":"","post_parent":0,"guid":"https:\/\/www.thedistributed.co\/?p=13030","menu_order":0,"post_type":"post","post_mime_type":"","comment_count":"0","filter":"raw"},{"ID":12906,"post_author":"15","post_date":"2023-08-05 15:08:10","post_date_gmt":"2023-08-05 05:08:10","post_content":"\n \"Generative AI has enormous economic potential and could boost global labor productivity by more than 1 percentage point a year in the decade following widespread usage,\u201d <\/em>the report states.<\/p>\n\n\n\n Goldman Sachs Research estimates that AI investment might reach $100 billion in the U.S. and $200 billion globally by 2025. However, the near-term GDP impact is expected to be \"fairly modest\"<\/em> due to AI-related investment being a small share of the global GDP.<\/p>\n\n\n\n Investment in AI will be concentrated in four key sectors: AI model development, infrastructure supply, AI software creation, and enterprise end-users. Economists expect increased spending on AI software and hardware for model training and queries.<\/p>\n\n\n\n According to the 2021 American Business survey, only 4% of US companies currently utilize AI. CEO surveys indicate that 22% anticipate generative AI's impact on their company's labor requirements in the next three years. However, most expect to integrate AI within the next three to ten years. AI adoption may begin significantly affecting the US economy between 2025 and 2030 if these predictions hold.<\/p>\n\n\n\n According to a press release<\/a> from NVIDIA, the AI Workbench is an easy-to-use toolkit to help businesses and enterprises rapidly build, test, and deploy custom generative AI tools using proprietary data. The business can then scale the AI to any data center, including NVIDIA DGX Cloud, with the help of a PC or a mobile workstation.<\/p>\n\n\n\n \u201cNVIDIA AI Workbench provides a simplified path for cross-organizational teams to create the AI-based applications that are increasingly becoming essential in modern business.\u201d<\/em>, said Manuvir Das, vice president of enterprise computing at NVIDIA.<\/p>\n\n\n\n With hundreds of large language models (LLMs) available for businesses to create their own AI tools, NVIDIA has focused on providing a platform to streamline the whole process, making it easier for companies to adopt customized AI. NVIDIA has collaborated with several leading AI companies such as Dell Technologies, HP Inc., Lambda, and Lenovo to provide the necessary infrastructure for such endeavors.<\/p>\n\n\n\n NVIDIA claims the AI Workbench will be made available for early access soon. Interested parties can sign up through their website for notifications.<\/p>\n","post_title":"NVIDIA Announces \u201cAI Workbench\u201d; A New Platform for Building Generative AI","post_excerpt":"","post_status":"publish","comment_status":"closed","ping_status":"closed","post_password":"","post_name":"nvidia-announces-ai-workbench-a-new-platform-for-building-generative-ai","to_ping":"","pinged":"","post_modified":"2024-02-16 22:45:05","post_modified_gmt":"2024-02-16 11:45:05","post_content_filtered":"","post_parent":0,"guid":"https:\/\/www.thedistributed.co\/?p=13030","menu_order":0,"post_type":"post","post_mime_type":"","comment_count":"0","filter":"raw"},{"ID":12906,"post_author":"15","post_date":"2023-08-05 15:08:10","post_date_gmt":"2023-08-05 05:08:10","post_content":"\n \"Generative AI has enormous economic potential and could boost global labor productivity by more than 1 percentage point a year in the decade following widespread usage,\u201d <\/em>the report states.<\/p>\n\n\n\n Goldman Sachs Research estimates that AI investment might reach $100 billion in the U.S. and $200 billion globally by 2025. However, the near-term GDP impact is expected to be \"fairly modest\"<\/em> due to AI-related investment being a small share of the global GDP.<\/p>\n\n\n\n Investment in AI will be concentrated in four key sectors: AI model development, infrastructure supply, AI software creation, and enterprise end-users. Economists expect increased spending on AI software and hardware for model training and queries.<\/p>\n\n\n\n According to the 2021 American Business survey, only 4% of US companies currently utilize AI. CEO surveys indicate that 22% anticipate generative AI's impact on their company's labor requirements in the next three years. However, most expect to integrate AI within the next three to ten years. AI adoption may begin significantly affecting the US economy between 2025 and 2030 if these predictions hold.<\/p>\n\n\n\n American tech giant NVIDIA recently announced a new platform for developing and deploying generative AI called \u201cAI Workbench\u201d. The news came during the ongoing SIGGRAPH (Special Interest Group on Computer Graphics and Interactive Techniques) conference.<\/p>\n\n\n\n According to a press release<\/a> from NVIDIA, the AI Workbench is an easy-to-use toolkit to help businesses and enterprises rapidly build, test, and deploy custom generative AI tools using proprietary data. The business can then scale the AI to any data center, including NVIDIA DGX Cloud, with the help of a PC or a mobile workstation.<\/p>\n\n\n\n \u201cNVIDIA AI Workbench provides a simplified path for cross-organizational teams to create the AI-based applications that are increasingly becoming essential in modern business.\u201d<\/em>, said Manuvir Das, vice president of enterprise computing at NVIDIA.<\/p>\n\n\n\n With hundreds of large language models (LLMs) available for businesses to create their own AI tools, NVIDIA has focused on providing a platform to streamline the whole process, making it easier for companies to adopt customized AI. NVIDIA has collaborated with several leading AI companies such as Dell Technologies, HP Inc., Lambda, and Lenovo to provide the necessary infrastructure for such endeavors.<\/p>\n\n\n\n NVIDIA claims the AI Workbench will be made available for early access soon. Interested parties can sign up through their website for notifications.<\/p>\n","post_title":"NVIDIA Announces \u201cAI Workbench\u201d; A New Platform for Building Generative AI","post_excerpt":"","post_status":"publish","comment_status":"closed","ping_status":"closed","post_password":"","post_name":"nvidia-announces-ai-workbench-a-new-platform-for-building-generative-ai","to_ping":"","pinged":"","post_modified":"2024-02-16 22:45:05","post_modified_gmt":"2024-02-16 11:45:05","post_content_filtered":"","post_parent":0,"guid":"https:\/\/www.thedistributed.co\/?p=13030","menu_order":0,"post_type":"post","post_mime_type":"","comment_count":"0","filter":"raw"},{"ID":12906,"post_author":"15","post_date":"2023-08-05 15:08:10","post_date_gmt":"2023-08-05 05:08:10","post_content":"\n \"Generative AI has enormous economic potential and could boost global labor productivity by more than 1 percentage point a year in the decade following widespread usage,\u201d <\/em>the report states.<\/p>\n\n\n\n Goldman Sachs Research estimates that AI investment might reach $100 billion in the U.S. and $200 billion globally by 2025. However, the near-term GDP impact is expected to be \"fairly modest\"<\/em> due to AI-related investment being a small share of the global GDP.<\/p>\n\n\n\n Investment in AI will be concentrated in four key sectors: AI model development, infrastructure supply, AI software creation, and enterprise end-users. Economists expect increased spending on AI software and hardware for model training and queries.<\/p>\n\n\n\n According to the 2021 American Business survey, only 4% of US companies currently utilize AI. CEO surveys indicate that 22% anticipate generative AI's impact on their company's labor requirements in the next three years. However, most expect to integrate AI within the next three to ten years. AI adoption may begin significantly affecting the US economy between 2025 and 2030 if these predictions hold.<\/p>\n\n\n\n Users can also give instructions to ChatGPT<\/a> to act as a specific occupation to get relevant responses. It can also customize the content to suit diverse audiences. Software developers can also use this for coding with specific prompts.<\/p>\n","post_title":"ChatGPT's \u201cCustom Instructions\u201d Feature Now Available For Free Users","post_excerpt":"","post_status":"publish","comment_status":"closed","ping_status":"closed","post_password":"","post_name":"chatgpts-custom-instructions-feature-now-available-for-free-users","to_ping":"","pinged":"","post_modified":"2023-08-25 00:52:14","post_modified_gmt":"2023-08-24 14:52:14","post_content_filtered":"","post_parent":0,"guid":"https:\/\/www.thedistributed.co\/?p=13042","menu_order":0,"post_type":"post","post_mime_type":"","comment_count":"0","filter":"raw"},{"ID":13030,"post_author":"17","post_date":"2023-08-10 23:19:43","post_date_gmt":"2023-08-10 13:19:43","post_content":"\n American tech giant NVIDIA recently announced a new platform for developing and deploying generative AI called \u201cAI Workbench\u201d. The news came during the ongoing SIGGRAPH (Special Interest Group on Computer Graphics and Interactive Techniques) conference.<\/p>\n\n\n\n According to a press release<\/a> from NVIDIA, the AI Workbench is an easy-to-use toolkit to help businesses and enterprises rapidly build, test, and deploy custom generative AI tools using proprietary data. The business can then scale the AI to any data center, including NVIDIA DGX Cloud, with the help of a PC or a mobile workstation.<\/p>\n\n\n\n \u201cNVIDIA AI Workbench provides a simplified path for cross-organizational teams to create the AI-based applications that are increasingly becoming essential in modern business.\u201d<\/em>, said Manuvir Das, vice president of enterprise computing at NVIDIA.<\/p>\n\n\n\n With hundreds of large language models (LLMs) available for businesses to create their own AI tools, NVIDIA has focused on providing a platform to streamline the whole process, making it easier for companies to adopt customized AI. NVIDIA has collaborated with several leading AI companies such as Dell Technologies, HP Inc., Lambda, and Lenovo to provide the necessary infrastructure for such endeavors.<\/p>\n\n\n\n NVIDIA claims the AI Workbench will be made available for early access soon. Interested parties can sign up through their website for notifications.<\/p>\n","post_title":"NVIDIA Announces \u201cAI Workbench\u201d; A New Platform for Building Generative AI","post_excerpt":"","post_status":"publish","comment_status":"closed","ping_status":"closed","post_password":"","post_name":"nvidia-announces-ai-workbench-a-new-platform-for-building-generative-ai","to_ping":"","pinged":"","post_modified":"2024-02-16 22:45:05","post_modified_gmt":"2024-02-16 11:45:05","post_content_filtered":"","post_parent":0,"guid":"https:\/\/www.thedistributed.co\/?p=13030","menu_order":0,"post_type":"post","post_mime_type":"","comment_count":"0","filter":"raw"},{"ID":12906,"post_author":"15","post_date":"2023-08-05 15:08:10","post_date_gmt":"2023-08-05 05:08:10","post_content":"\n \"Generative AI has enormous economic potential and could boost global labor productivity by more than 1 percentage point a year in the decade following widespread usage,\u201d <\/em>the report states.<\/p>\n\n\n\n Goldman Sachs Research estimates that AI investment might reach $100 billion in the U.S. and $200 billion globally by 2025. However, the near-term GDP impact is expected to be \"fairly modest\"<\/em> due to AI-related investment being a small share of the global GDP.<\/p>\n\n\n\n Investment in AI will be concentrated in four key sectors: AI model development, infrastructure supply, AI software creation, and enterprise end-users. Economists expect increased spending on AI software and hardware for model training and queries.<\/p>\n\n\n\n According to the 2021 American Business survey, only 4% of US companies currently utilize AI. CEO surveys indicate that 22% anticipate generative AI's impact on their company's labor requirements in the next three years. However, most expect to integrate AI within the next three to ten years. AI adoption may begin significantly affecting the US economy between 2025 and 2030 if these predictions hold.<\/p>\n\n\n\n The feature saves users' time by excluding the repetitive task of rewriting instructions for every interaction with the chatbot. Users can choose the tone of response depending on their requirements. They can also limit the number of words in response, i.e. while writing emails.<\/p>\n\n\n\n Users can also give instructions to ChatGPT<\/a> to act as a specific occupation to get relevant responses. It can also customize the content to suit diverse audiences. Software developers can also use this for coding with specific prompts.<\/p>\n","post_title":"ChatGPT's \u201cCustom Instructions\u201d Feature Now Available For Free Users","post_excerpt":"","post_status":"publish","comment_status":"closed","ping_status":"closed","post_password":"","post_name":"chatgpts-custom-instructions-feature-now-available-for-free-users","to_ping":"","pinged":"","post_modified":"2023-08-25 00:52:14","post_modified_gmt":"2023-08-24 14:52:14","post_content_filtered":"","post_parent":0,"guid":"https:\/\/www.thedistributed.co\/?p=13042","menu_order":0,"post_type":"post","post_mime_type":"","comment_count":"0","filter":"raw"},{"ID":13030,"post_author":"17","post_date":"2023-08-10 23:19:43","post_date_gmt":"2023-08-10 13:19:43","post_content":"\n American tech giant NVIDIA recently announced a new platform for developing and deploying generative AI called \u201cAI Workbench\u201d. The news came during the ongoing SIGGRAPH (Special Interest Group on Computer Graphics and Interactive Techniques) conference.<\/p>\n\n\n\n According to a press release<\/a> from NVIDIA, the AI Workbench is an easy-to-use toolkit to help businesses and enterprises rapidly build, test, and deploy custom generative AI tools using proprietary data. The business can then scale the AI to any data center, including NVIDIA DGX Cloud, with the help of a PC or a mobile workstation.<\/p>\n\n\n\n \u201cNVIDIA AI Workbench provides a simplified path for cross-organizational teams to create the AI-based applications that are increasingly becoming essential in modern business.\u201d<\/em>, said Manuvir Das, vice president of enterprise computing at NVIDIA.<\/p>\n\n\n\n With hundreds of large language models (LLMs) available for businesses to create their own AI tools, NVIDIA has focused on providing a platform to streamline the whole process, making it easier for companies to adopt customized AI. NVIDIA has collaborated with several leading AI companies such as Dell Technologies, HP Inc., Lambda, and Lenovo to provide the necessary infrastructure for such endeavors.<\/p>\n\n\n\n NVIDIA claims the AI Workbench will be made available for early access soon. Interested parties can sign up through their website for notifications.<\/p>\n","post_title":"NVIDIA Announces \u201cAI Workbench\u201d; A New Platform for Building Generative AI","post_excerpt":"","post_status":"publish","comment_status":"closed","ping_status":"closed","post_password":"","post_name":"nvidia-announces-ai-workbench-a-new-platform-for-building-generative-ai","to_ping":"","pinged":"","post_modified":"2024-02-16 22:45:05","post_modified_gmt":"2024-02-16 11:45:05","post_content_filtered":"","post_parent":0,"guid":"https:\/\/www.thedistributed.co\/?p=13030","menu_order":0,"post_type":"post","post_mime_type":"","comment_count":"0","filter":"raw"},{"ID":12906,"post_author":"15","post_date":"2023-08-05 15:08:10","post_date_gmt":"2023-08-05 05:08:10","post_content":"\n \"Generative AI has enormous economic potential and could boost global labor productivity by more than 1 percentage point a year in the decade following widespread usage,\u201d <\/em>the report states.<\/p>\n\n\n\n Goldman Sachs Research estimates that AI investment might reach $100 billion in the U.S. and $200 billion globally by 2025. However, the near-term GDP impact is expected to be \"fairly modest\"<\/em> due to AI-related investment being a small share of the global GDP.<\/p>\n\n\n\n Investment in AI will be concentrated in four key sectors: AI model development, infrastructure supply, AI software creation, and enterprise end-users. Economists expect increased spending on AI software and hardware for model training and queries.<\/p>\n\n\n\n According to the 2021 American Business survey, only 4% of US companies currently utilize AI. CEO surveys indicate that 22% anticipate generative AI's impact on their company's labor requirements in the next three years. However, most expect to integrate AI within the next three to ten years. AI adoption may begin significantly affecting the US economy between 2025 and 2030 if these predictions hold.<\/p>\n\n\n\n The feature saves users' time by excluding the repetitive task of rewriting instructions for every interaction with the chatbot. Users can choose the tone of response depending on their requirements. They can also limit the number of words in response, i.e. while writing emails.<\/p>\n\n\n\n Users can also give instructions to ChatGPT<\/a> to act as a specific occupation to get relevant responses. It can also customize the content to suit diverse audiences. Software developers can also use this for coding with specific prompts.<\/p>\n","post_title":"ChatGPT's \u201cCustom Instructions\u201d Feature Now Available For Free Users","post_excerpt":"","post_status":"publish","comment_status":"closed","ping_status":"closed","post_password":"","post_name":"chatgpts-custom-instructions-feature-now-available-for-free-users","to_ping":"","pinged":"","post_modified":"2023-08-25 00:52:14","post_modified_gmt":"2023-08-24 14:52:14","post_content_filtered":"","post_parent":0,"guid":"https:\/\/www.thedistributed.co\/?p=13042","menu_order":0,"post_type":"post","post_mime_type":"","comment_count":"0","filter":"raw"},{"ID":13030,"post_author":"17","post_date":"2023-08-10 23:19:43","post_date_gmt":"2023-08-10 13:19:43","post_content":"\n American tech giant NVIDIA recently announced a new platform for developing and deploying generative AI called \u201cAI Workbench\u201d. The news came during the ongoing SIGGRAPH (Special Interest Group on Computer Graphics and Interactive Techniques) conference.<\/p>\n\n\n\n According to a press release<\/a> from NVIDIA, the AI Workbench is an easy-to-use toolkit to help businesses and enterprises rapidly build, test, and deploy custom generative AI tools using proprietary data. The business can then scale the AI to any data center, including NVIDIA DGX Cloud, with the help of a PC or a mobile workstation.<\/p>\n\n\n\n \u201cNVIDIA AI Workbench provides a simplified path for cross-organizational teams to create the AI-based applications that are increasingly becoming essential in modern business.\u201d<\/em>, said Manuvir Das, vice president of enterprise computing at NVIDIA.<\/p>\n\n\n\n With hundreds of large language models (LLMs) available for businesses to create their own AI tools, NVIDIA has focused on providing a platform to streamline the whole process, making it easier for companies to adopt customized AI. NVIDIA has collaborated with several leading AI companies such as Dell Technologies, HP Inc., Lambda, and Lenovo to provide the necessary infrastructure for such endeavors.<\/p>\n\n\n\n NVIDIA claims the AI Workbench will be made available for early access soon. Interested parties can sign up through their website for notifications.<\/p>\n","post_title":"NVIDIA Announces \u201cAI Workbench\u201d; A New Platform for Building Generative AI","post_excerpt":"","post_status":"publish","comment_status":"closed","ping_status":"closed","post_password":"","post_name":"nvidia-announces-ai-workbench-a-new-platform-for-building-generative-ai","to_ping":"","pinged":"","post_modified":"2024-02-16 22:45:05","post_modified_gmt":"2024-02-16 11:45:05","post_content_filtered":"","post_parent":0,"guid":"https:\/\/www.thedistributed.co\/?p=13030","menu_order":0,"post_type":"post","post_mime_type":"","comment_count":"0","filter":"raw"},{"ID":12906,"post_author":"15","post_date":"2023-08-05 15:08:10","post_date_gmt":"2023-08-05 05:08:10","post_content":"\n \"Generative AI has enormous economic potential and could boost global labor productivity by more than 1 percentage point a year in the decade following widespread usage,\u201d <\/em>the report states.<\/p>\n\n\n\n Goldman Sachs Research estimates that AI investment might reach $100 billion in the U.S. and $200 billion globally by 2025. However, the near-term GDP impact is expected to be \"fairly modest\"<\/em> due to AI-related investment being a small share of the global GDP.<\/p>\n\n\n\n Investment in AI will be concentrated in four key sectors: AI model development, infrastructure supply, AI software creation, and enterprise end-users. Economists expect increased spending on AI software and hardware for model training and queries.<\/p>\n\n\n\n According to the 2021 American Business survey, only 4% of US companies currently utilize AI. CEO surveys indicate that 22% anticipate generative AI's impact on their company's labor requirements in the next three years. However, most expect to integrate AI within the next three to ten years. AI adoption may begin significantly affecting the US economy between 2025 and 2030 if these predictions hold.<\/p>\n\n\n\n The feature is currently unavailable in the UK and EU, but the company has announced plans to make it accessible to users in those regions soon. This feature can be a game-changer for businesses looking to expand their reach or enhance their marketing efforts.<\/p>\n\n\n\n The feature saves users' time by excluding the repetitive task of rewriting instructions for every interaction with the chatbot. Users can choose the tone of response depending on their requirements. They can also limit the number of words in response, i.e. while writing emails.<\/p>\n\n\n\n Users can also give instructions to ChatGPT<\/a> to act as a specific occupation to get relevant responses. It can also customize the content to suit diverse audiences. Software developers can also use this for coding with specific prompts.<\/p>\n","post_title":"ChatGPT's \u201cCustom Instructions\u201d Feature Now Available For Free Users","post_excerpt":"","post_status":"publish","comment_status":"closed","ping_status":"closed","post_password":"","post_name":"chatgpts-custom-instructions-feature-now-available-for-free-users","to_ping":"","pinged":"","post_modified":"2023-08-25 00:52:14","post_modified_gmt":"2023-08-24 14:52:14","post_content_filtered":"","post_parent":0,"guid":"https:\/\/www.thedistributed.co\/?p=13042","menu_order":0,"post_type":"post","post_mime_type":"","comment_count":"0","filter":"raw"},{"ID":13030,"post_author":"17","post_date":"2023-08-10 23:19:43","post_date_gmt":"2023-08-10 13:19:43","post_content":"\n American tech giant NVIDIA recently announced a new platform for developing and deploying generative AI called \u201cAI Workbench\u201d. The news came during the ongoing SIGGRAPH (Special Interest Group on Computer Graphics and Interactive Techniques) conference.<\/p>\n\n\n\n According to a press release<\/a> from NVIDIA, the AI Workbench is an easy-to-use toolkit to help businesses and enterprises rapidly build, test, and deploy custom generative AI tools using proprietary data. The business can then scale the AI to any data center, including NVIDIA DGX Cloud, with the help of a PC or a mobile workstation.<\/p>\n\n\n\n \u201cNVIDIA AI Workbench provides a simplified path for cross-organizational teams to create the AI-based applications that are increasingly becoming essential in modern business.\u201d<\/em>, said Manuvir Das, vice president of enterprise computing at NVIDIA.<\/p>\n\n\n\n With hundreds of large language models (LLMs) available for businesses to create their own AI tools, NVIDIA has focused on providing a platform to streamline the whole process, making it easier for companies to adopt customized AI. NVIDIA has collaborated with several leading AI companies such as Dell Technologies, HP Inc., Lambda, and Lenovo to provide the necessary infrastructure for such endeavors.<\/p>\n\n\n\n NVIDIA claims the AI Workbench will be made available for early access soon. Interested parties can sign up through their website for notifications.<\/p>\n","post_title":"NVIDIA Announces \u201cAI Workbench\u201d; A New Platform for Building Generative AI","post_excerpt":"","post_status":"publish","comment_status":"closed","ping_status":"closed","post_password":"","post_name":"nvidia-announces-ai-workbench-a-new-platform-for-building-generative-ai","to_ping":"","pinged":"","post_modified":"2024-02-16 22:45:05","post_modified_gmt":"2024-02-16 11:45:05","post_content_filtered":"","post_parent":0,"guid":"https:\/\/www.thedistributed.co\/?p=13030","menu_order":0,"post_type":"post","post_mime_type":"","comment_count":"0","filter":"raw"},{"ID":12906,"post_author":"15","post_date":"2023-08-05 15:08:10","post_date_gmt":"2023-08-05 05:08:10","post_content":"\n \"Generative AI has enormous economic potential and could boost global labor productivity by more than 1 percentage point a year in the decade following widespread usage,\u201d <\/em>the report states.<\/p>\n\n\n\n Goldman Sachs Research estimates that AI investment might reach $100 billion in the U.S. and $200 billion globally by 2025. However, the near-term GDP impact is expected to be \"fairly modest\"<\/em> due to AI-related investment being a small share of the global GDP.<\/p>\n\n\n\n Investment in AI will be concentrated in four key sectors: AI model development, infrastructure supply, AI software creation, and enterprise end-users. Economists expect increased spending on AI software and hardware for model training and queries.<\/p>\n\n\n\n According to the 2021 American Business survey, only 4% of US companies currently utilize AI. CEO surveys indicate that 22% anticipate generative AI's impact on their company's labor requirements in the next three years. However, most expect to integrate AI within the next three to ten years. AI adoption may begin significantly affecting the US economy between 2025 and 2030 if these predictions hold.<\/p>\n\n\n\n \u201cChatGPT will consider your custom instructions for every conversation going forward. The model will consider the instructions every time it responds, so you won\u2019t have to repeat your preferences or information in every conversation<\/em>.\u201d OpenAI Announcements<\/a>.<\/p>\n\n\n\n The feature is currently unavailable in the UK and EU, but the company has announced plans to make it accessible to users in those regions soon. This feature can be a game-changer for businesses looking to expand their reach or enhance their marketing efforts.<\/p>\n\n\n\n The feature saves users' time by excluding the repetitive task of rewriting instructions for every interaction with the chatbot. Users can choose the tone of response depending on their requirements. They can also limit the number of words in response, i.e. while writing emails.<\/p>\n\n\n\n Users can also give instructions to ChatGPT<\/a> to act as a specific occupation to get relevant responses. It can also customize the content to suit diverse audiences. Software developers can also use this for coding with specific prompts.<\/p>\n","post_title":"ChatGPT's \u201cCustom Instructions\u201d Feature Now Available For Free Users","post_excerpt":"","post_status":"publish","comment_status":"closed","ping_status":"closed","post_password":"","post_name":"chatgpts-custom-instructions-feature-now-available-for-free-users","to_ping":"","pinged":"","post_modified":"2023-08-25 00:52:14","post_modified_gmt":"2023-08-24 14:52:14","post_content_filtered":"","post_parent":0,"guid":"https:\/\/www.thedistributed.co\/?p=13042","menu_order":0,"post_type":"post","post_mime_type":"","comment_count":"0","filter":"raw"},{"ID":13030,"post_author":"17","post_date":"2023-08-10 23:19:43","post_date_gmt":"2023-08-10 13:19:43","post_content":"\n American tech giant NVIDIA recently announced a new platform for developing and deploying generative AI called \u201cAI Workbench\u201d. The news came during the ongoing SIGGRAPH (Special Interest Group on Computer Graphics and Interactive Techniques) conference.<\/p>\n\n\n\n According to a press release<\/a> from NVIDIA, the AI Workbench is an easy-to-use toolkit to help businesses and enterprises rapidly build, test, and deploy custom generative AI tools using proprietary data. The business can then scale the AI to any data center, including NVIDIA DGX Cloud, with the help of a PC or a mobile workstation.<\/p>\n\n\n\n \u201cNVIDIA AI Workbench provides a simplified path for cross-organizational teams to create the AI-based applications that are increasingly becoming essential in modern business.\u201d<\/em>, said Manuvir Das, vice president of enterprise computing at NVIDIA.<\/p>\n\n\n\n With hundreds of large language models (LLMs) available for businesses to create their own AI tools, NVIDIA has focused on providing a platform to streamline the whole process, making it easier for companies to adopt customized AI. NVIDIA has collaborated with several leading AI companies such as Dell Technologies, HP Inc., Lambda, and Lenovo to provide the necessary infrastructure for such endeavors.<\/p>\n\n\n\n NVIDIA claims the AI Workbench will be made available for early access soon. Interested parties can sign up through their website for notifications.<\/p>\n","post_title":"NVIDIA Announces \u201cAI Workbench\u201d; A New Platform for Building Generative AI","post_excerpt":"","post_status":"publish","comment_status":"closed","ping_status":"closed","post_password":"","post_name":"nvidia-announces-ai-workbench-a-new-platform-for-building-generative-ai","to_ping":"","pinged":"","post_modified":"2024-02-16 22:45:05","post_modified_gmt":"2024-02-16 11:45:05","post_content_filtered":"","post_parent":0,"guid":"https:\/\/www.thedistributed.co\/?p=13030","menu_order":0,"post_type":"post","post_mime_type":"","comment_count":"0","filter":"raw"},{"ID":12906,"post_author":"15","post_date":"2023-08-05 15:08:10","post_date_gmt":"2023-08-05 05:08:10","post_content":"\n \"Generative AI has enormous economic potential and could boost global labor productivity by more than 1 percentage point a year in the decade following widespread usage,\u201d <\/em>the report states.<\/p>\n\n\n\n Goldman Sachs Research estimates that AI investment might reach $100 billion in the U.S. and $200 billion globally by 2025. However, the near-term GDP impact is expected to be \"fairly modest\"<\/em> due to AI-related investment being a small share of the global GDP.<\/p>\n\n\n\n Investment in AI will be concentrated in four key sectors: AI model development, infrastructure supply, AI software creation, and enterprise end-users. Economists expect increased spending on AI software and hardware for model training and queries.<\/p>\n\n\n\n According to the 2021 American Business survey, only 4% of US companies currently utilize AI. CEO surveys indicate that 22% anticipate generative AI's impact on their company's labor requirements in the next three years. However, most expect to integrate AI within the next three to ten years. AI adoption may begin significantly affecting the US economy between 2025 and 2030 if these predictions hold.<\/p>\n\n\n\n The \"Custom Instructions\" feature is now accessible to free users to get better control over how ChatGPT responds to their commands. Various industries previously used it for sales and marketing. Only ChatGPT plus members had access to this feature when it was introduced in July for the first time.<\/p>\n\n\n\n \u201cChatGPT will consider your custom instructions for every conversation going forward. The model will consider the instructions every time it responds, so you won\u2019t have to repeat your preferences or information in every conversation<\/em>.\u201d OpenAI Announcements<\/a>.<\/p>\n\n\n\n The feature is currently unavailable in the UK and EU, but the company has announced plans to make it accessible to users in those regions soon. This feature can be a game-changer for businesses looking to expand their reach or enhance their marketing efforts.<\/p>\n\n\n\n The feature saves users' time by excluding the repetitive task of rewriting instructions for every interaction with the chatbot. Users can choose the tone of response depending on their requirements. They can also limit the number of words in response, i.e. while writing emails.<\/p>\n\n\n\n Users can also give instructions to ChatGPT<\/a> to act as a specific occupation to get relevant responses. It can also customize the content to suit diverse audiences. Software developers can also use this for coding with specific prompts.<\/p>\n","post_title":"ChatGPT's \u201cCustom Instructions\u201d Feature Now Available For Free Users","post_excerpt":"","post_status":"publish","comment_status":"closed","ping_status":"closed","post_password":"","post_name":"chatgpts-custom-instructions-feature-now-available-for-free-users","to_ping":"","pinged":"","post_modified":"2023-08-25 00:52:14","post_modified_gmt":"2023-08-24 14:52:14","post_content_filtered":"","post_parent":0,"guid":"https:\/\/www.thedistributed.co\/?p=13042","menu_order":0,"post_type":"post","post_mime_type":"","comment_count":"0","filter":"raw"},{"ID":13030,"post_author":"17","post_date":"2023-08-10 23:19:43","post_date_gmt":"2023-08-10 13:19:43","post_content":"\n American tech giant NVIDIA recently announced a new platform for developing and deploying generative AI called \u201cAI Workbench\u201d. The news came during the ongoing SIGGRAPH (Special Interest Group on Computer Graphics and Interactive Techniques) conference.<\/p>\n\n\n\n According to a press release<\/a> from NVIDIA, the AI Workbench is an easy-to-use toolkit to help businesses and enterprises rapidly build, test, and deploy custom generative AI tools using proprietary data. The business can then scale the AI to any data center, including NVIDIA DGX Cloud, with the help of a PC or a mobile workstation.<\/p>\n\n\n\n \u201cNVIDIA AI Workbench provides a simplified path for cross-organizational teams to create the AI-based applications that are increasingly becoming essential in modern business.\u201d<\/em>, said Manuvir Das, vice president of enterprise computing at NVIDIA.<\/p>\n\n\n\n With hundreds of large language models (LLMs) available for businesses to create their own AI tools, NVIDIA has focused on providing a platform to streamline the whole process, making it easier for companies to adopt customized AI. NVIDIA has collaborated with several leading AI companies such as Dell Technologies, HP Inc., Lambda, and Lenovo to provide the necessary infrastructure for such endeavors.<\/p>\n\n\n\n NVIDIA claims the AI Workbench will be made available for early access soon. Interested parties can sign up through their website for notifications.<\/p>\n","post_title":"NVIDIA Announces \u201cAI Workbench\u201d; A New Platform for Building Generative AI","post_excerpt":"","post_status":"publish","comment_status":"closed","ping_status":"closed","post_password":"","post_name":"nvidia-announces-ai-workbench-a-new-platform-for-building-generative-ai","to_ping":"","pinged":"","post_modified":"2024-02-16 22:45:05","post_modified_gmt":"2024-02-16 11:45:05","post_content_filtered":"","post_parent":0,"guid":"https:\/\/www.thedistributed.co\/?p=13030","menu_order":0,"post_type":"post","post_mime_type":"","comment_count":"0","filter":"raw"},{"ID":12906,"post_author":"15","post_date":"2023-08-05 15:08:10","post_date_gmt":"2023-08-05 05:08:10","post_content":"\n \"Generative AI has enormous economic potential and could boost global labor productivity by more than 1 percentage point a year in the decade following widespread usage,\u201d <\/em>the report states.<\/p>\n\n\n\n Goldman Sachs Research estimates that AI investment might reach $100 billion in the U.S. and $200 billion globally by 2025. However, the near-term GDP impact is expected to be \"fairly modest\"<\/em> due to AI-related investment being a small share of the global GDP.<\/p>\n\n\n\n Investment in AI will be concentrated in four key sectors: AI model development, infrastructure supply, AI software creation, and enterprise end-users. Economists expect increased spending on AI software and hardware for model training and queries.<\/p>\n\n\n\n According to the 2021 American Business survey, only 4% of US companies currently utilize AI. CEO surveys indicate that 22% anticipate generative AI's impact on their company's labor requirements in the next three years. However, most expect to integrate AI within the next three to ten years. AI adoption may begin significantly affecting the US economy between 2025 and 2030 if these predictions hold.<\/p>\n\n\n\n \u201cGenerative AI and large language models are also often trained using proprietary media content, which publishers and others invest large amounts of time and resources to produce,\u201d <\/em>the letter reads. \"In addition to violating copyright law, the resulting impact is to meaningfully reduce media diversity and undermine the financial viability of companies to invest in media coverage, further reducing the public\u2019s access to high-quality and trustworthy information.\"<\/em><\/p>\n","post_title":"Google's AI Data Collection Methods Trigger Australian Inquiry","post_excerpt":"","post_status":"publish","comment_status":"closed","ping_status":"closed","post_password":"","post_name":"googles-ai-data-collection-methods-trigger-australian-inquiry","to_ping":"","pinged":"","post_modified":"2023-08-25 00:52:17","post_modified_gmt":"2023-08-24 14:52:17","post_content_filtered":"","post_parent":0,"guid":"https:\/\/www.thedistributed.co\/?p=13056","menu_order":0,"post_type":"post","post_mime_type":"","comment_count":"0","filter":"raw"},{"ID":13042,"post_author":"20","post_date":"2023-08-25 00:52:05","post_date_gmt":"2023-08-24 14:52:05","post_content":"\n The \"Custom Instructions\" feature is now accessible to free users to get better control over how ChatGPT responds to their commands. Various industries previously used it for sales and marketing. Only ChatGPT plus members had access to this feature when it was introduced in July for the first time.<\/p>\n\n\n\n \u201cChatGPT will consider your custom instructions for every conversation going forward. The model will consider the instructions every time it responds, so you won\u2019t have to repeat your preferences or information in every conversation<\/em>.\u201d OpenAI Announcements<\/a>.<\/p>\n\n\n\n The feature is currently unavailable in the UK and EU, but the company has announced plans to make it accessible to users in those regions soon. This feature can be a game-changer for businesses looking to expand their reach or enhance their marketing efforts.<\/p>\n\n\n\n The feature saves users' time by excluding the repetitive task of rewriting instructions for every interaction with the chatbot. Users can choose the tone of response depending on their requirements. They can also limit the number of words in response, i.e. while writing emails.<\/p>\n\n\n\n Users can also give instructions to ChatGPT<\/a> to act as a specific occupation to get relevant responses. It can also customize the content to suit diverse audiences. Software developers can also use this for coding with specific prompts.<\/p>\n","post_title":"ChatGPT's \u201cCustom Instructions\u201d Feature Now Available For Free Users","post_excerpt":"","post_status":"publish","comment_status":"closed","ping_status":"closed","post_password":"","post_name":"chatgpts-custom-instructions-feature-now-available-for-free-users","to_ping":"","pinged":"","post_modified":"2023-08-25 00:52:14","post_modified_gmt":"2023-08-24 14:52:14","post_content_filtered":"","post_parent":0,"guid":"https:\/\/www.thedistributed.co\/?p=13042","menu_order":0,"post_type":"post","post_mime_type":"","comment_count":"0","filter":"raw"},{"ID":13030,"post_author":"17","post_date":"2023-08-10 23:19:43","post_date_gmt":"2023-08-10 13:19:43","post_content":"\n American tech giant NVIDIA recently announced a new platform for developing and deploying generative AI called \u201cAI Workbench\u201d. The news came during the ongoing SIGGRAPH (Special Interest Group on Computer Graphics and Interactive Techniques) conference.<\/p>\n\n\n\n According to a press release<\/a> from NVIDIA, the AI Workbench is an easy-to-use toolkit to help businesses and enterprises rapidly build, test, and deploy custom generative AI tools using proprietary data. The business can then scale the AI to any data center, including NVIDIA DGX Cloud, with the help of a PC or a mobile workstation.<\/p>\n\n\n\n \u201cNVIDIA AI Workbench provides a simplified path for cross-organizational teams to create the AI-based applications that are increasingly becoming essential in modern business.\u201d<\/em>, said Manuvir Das, vice president of enterprise computing at NVIDIA.<\/p>\n\n\n\n With hundreds of large language models (LLMs) available for businesses to create their own AI tools, NVIDIA has focused on providing a platform to streamline the whole process, making it easier for companies to adopt customized AI. NVIDIA has collaborated with several leading AI companies such as Dell Technologies, HP Inc., Lambda, and Lenovo to provide the necessary infrastructure for such endeavors.<\/p>\n\n\n\n NVIDIA claims the AI Workbench will be made available for early access soon. Interested parties can sign up through their website for notifications.<\/p>\n","post_title":"NVIDIA Announces \u201cAI Workbench\u201d; A New Platform for Building Generative AI","post_excerpt":"","post_status":"publish","comment_status":"closed","ping_status":"closed","post_password":"","post_name":"nvidia-announces-ai-workbench-a-new-platform-for-building-generative-ai","to_ping":"","pinged":"","post_modified":"2024-02-16 22:45:05","post_modified_gmt":"2024-02-16 11:45:05","post_content_filtered":"","post_parent":0,"guid":"https:\/\/www.thedistributed.co\/?p=13030","menu_order":0,"post_type":"post","post_mime_type":"","comment_count":"0","filter":"raw"},{"ID":12906,"post_author":"15","post_date":"2023-08-05 15:08:10","post_date_gmt":"2023-08-05 05:08:10","post_content":"\n \"Generative AI has enormous economic potential and could boost global labor productivity by more than 1 percentage point a year in the decade following widespread usage,\u201d <\/em>the report states.<\/p>\n\n\n\n Goldman Sachs Research estimates that AI investment might reach $100 billion in the U.S. and $200 billion globally by 2025. However, the near-term GDP impact is expected to be \"fairly modest\"<\/em> due to AI-related investment being a small share of the global GDP.<\/p>\n\n\n\n Investment in AI will be concentrated in four key sectors: AI model development, infrastructure supply, AI software creation, and enterprise end-users. Economists expect increased spending on AI software and hardware for model training and queries.<\/p>\n\n\n\n According to the 2021 American Business survey, only 4% of US companies currently utilize AI. CEO surveys indicate that 22% anticipate generative AI's impact on their company's labor requirements in the next three years. However, most expect to integrate AI within the next three to ten years. AI adoption may begin significantly affecting the US economy between 2025 and 2030 if these predictions hold.<\/p>\n\n\n\n Experts contend that unauthorized web scraping raises concerns related to copyright and ethics. Publishers, such as News Corp., are engaging in discussions with AI companies to secure compensation for content use. The AFP recently issued an open letter<\/a> addressing this precise matter.<\/p>\n\n\n\n \u201cGenerative AI and large language models are also often trained using proprietary media content, which publishers and others invest large amounts of time and resources to produce,\u201d <\/em>the letter reads. \"In addition to violating copyright law, the resulting impact is to meaningfully reduce media diversity and undermine the financial viability of companies to invest in media coverage, further reducing the public\u2019s access to high-quality and trustworthy information.\"<\/em><\/p>\n","post_title":"Google's AI Data Collection Methods Trigger Australian Inquiry","post_excerpt":"","post_status":"publish","comment_status":"closed","ping_status":"closed","post_password":"","post_name":"googles-ai-data-collection-methods-trigger-australian-inquiry","to_ping":"","pinged":"","post_modified":"2023-08-25 00:52:17","post_modified_gmt":"2023-08-24 14:52:17","post_content_filtered":"","post_parent":0,"guid":"https:\/\/www.thedistributed.co\/?p=13056","menu_order":0,"post_type":"post","post_mime_type":"","comment_count":"0","filter":"raw"},{"ID":13042,"post_author":"20","post_date":"2023-08-25 00:52:05","post_date_gmt":"2023-08-24 14:52:05","post_content":"\n The \"Custom Instructions\" feature is now accessible to free users to get better control over how ChatGPT responds to their commands. Various industries previously used it for sales and marketing. Only ChatGPT plus members had access to this feature when it was introduced in July for the first time.<\/p>\n\n\n\n \u201cChatGPT will consider your custom instructions for every conversation going forward. The model will consider the instructions every time it responds, so you won\u2019t have to repeat your preferences or information in every conversation<\/em>.\u201d OpenAI Announcements<\/a>.<\/p>\n\n\n\n The feature is currently unavailable in the UK and EU, but the company has announced plans to make it accessible to users in those regions soon. This feature can be a game-changer for businesses looking to expand their reach or enhance their marketing efforts.<\/p>\n\n\n\n The feature saves users' time by excluding the repetitive task of rewriting instructions for every interaction with the chatbot. Users can choose the tone of response depending on their requirements. They can also limit the number of words in response, i.e. while writing emails.<\/p>\n\n\n\n Users can also give instructions to ChatGPT<\/a> to act as a specific occupation to get relevant responses. It can also customize the content to suit diverse audiences. Software developers can also use this for coding with specific prompts.<\/p>\n","post_title":"ChatGPT's \u201cCustom Instructions\u201d Feature Now Available For Free Users","post_excerpt":"","post_status":"publish","comment_status":"closed","ping_status":"closed","post_password":"","post_name":"chatgpts-custom-instructions-feature-now-available-for-free-users","to_ping":"","pinged":"","post_modified":"2023-08-25 00:52:14","post_modified_gmt":"2023-08-24 14:52:14","post_content_filtered":"","post_parent":0,"guid":"https:\/\/www.thedistributed.co\/?p=13042","menu_order":0,"post_type":"post","post_mime_type":"","comment_count":"0","filter":"raw"},{"ID":13030,"post_author":"17","post_date":"2023-08-10 23:19:43","post_date_gmt":"2023-08-10 13:19:43","post_content":"\n American tech giant NVIDIA recently announced a new platform for developing and deploying generative AI called \u201cAI Workbench\u201d. The news came during the ongoing SIGGRAPH (Special Interest Group on Computer Graphics and Interactive Techniques) conference.<\/p>\n\n\n\n According to a press release<\/a> from NVIDIA, the AI Workbench is an easy-to-use toolkit to help businesses and enterprises rapidly build, test, and deploy custom generative AI tools using proprietary data. The business can then scale the AI to any data center, including NVIDIA DGX Cloud, with the help of a PC or a mobile workstation.<\/p>\n\n\n\n \u201cNVIDIA AI Workbench provides a simplified path for cross-organizational teams to create the AI-based applications that are increasingly becoming essential in modern business.\u201d<\/em>, said Manuvir Das, vice president of enterprise computing at NVIDIA.<\/p>\n\n\n\n With hundreds of large language models (LLMs) available for businesses to create their own AI tools, NVIDIA has focused on providing a platform to streamline the whole process, making it easier for companies to adopt customized AI. NVIDIA has collaborated with several leading AI companies such as Dell Technologies, HP Inc., Lambda, and Lenovo to provide the necessary infrastructure for such endeavors.<\/p>\n\n\n\n NVIDIA claims the AI Workbench will be made available for early access soon. Interested parties can sign up through their website for notifications.<\/p>\n","post_title":"NVIDIA Announces \u201cAI Workbench\u201d; A New Platform for Building Generative AI","post_excerpt":"","post_status":"publish","comment_status":"closed","ping_status":"closed","post_password":"","post_name":"nvidia-announces-ai-workbench-a-new-platform-for-building-generative-ai","to_ping":"","pinged":"","post_modified":"2024-02-16 22:45:05","post_modified_gmt":"2024-02-16 11:45:05","post_content_filtered":"","post_parent":0,"guid":"https:\/\/www.thedistributed.co\/?p=13030","menu_order":0,"post_type":"post","post_mime_type":"","comment_count":"0","filter":"raw"},{"ID":12906,"post_author":"15","post_date":"2023-08-05 15:08:10","post_date_gmt":"2023-08-05 05:08:10","post_content":"\n \"Generative AI has enormous economic potential and could boost global labor productivity by more than 1 percentage point a year in the decade following widespread usage,\u201d <\/em>the report states.<\/p>\n\n\n\n Goldman Sachs Research estimates that AI investment might reach $100 billion in the U.S. and $200 billion globally by 2025. However, the near-term GDP impact is expected to be \"fairly modest\"<\/em> due to AI-related investment being a small share of the global GDP.<\/p>\n\n\n\n Investment in AI will be concentrated in four key sectors: AI model development, infrastructure supply, AI software creation, and enterprise end-users. Economists expect increased spending on AI software and hardware for model training and queries.<\/p>\n\n\n\n According to the 2021 American Business survey, only 4% of US companies currently utilize AI. CEO surveys indicate that 22% anticipate generative AI's impact on their company's labor requirements in the next three years. However, most expect to integrate AI within the next three to ten years. AI adoption may begin significantly affecting the US economy between 2025 and 2030 if these predictions hold.<\/p>\n\n\n\n Experts contend that unauthorized web scraping raises concerns related to copyright and ethics. Publishers, such as News Corp., are engaging in discussions with AI companies to secure compensation for content use. The AFP recently issued an open letter<\/a> addressing this precise matter.<\/p>\n\n\n\n \u201cGenerative AI and large language models are also often trained using proprietary media content, which publishers and others invest large amounts of time and resources to produce,\u201d <\/em>the letter reads. \"In addition to violating copyright law, the resulting impact is to meaningfully reduce media diversity and undermine the financial viability of companies to invest in media coverage, further reducing the public\u2019s access to high-quality and trustworthy information.\"<\/em><\/p>\n","post_title":"Google's AI Data Collection Methods Trigger Australian Inquiry","post_excerpt":"","post_status":"publish","comment_status":"closed","ping_status":"closed","post_password":"","post_name":"googles-ai-data-collection-methods-trigger-australian-inquiry","to_ping":"","pinged":"","post_modified":"2023-08-25 00:52:17","post_modified_gmt":"2023-08-24 14:52:17","post_content_filtered":"","post_parent":0,"guid":"https:\/\/www.thedistributed.co\/?p=13056","menu_order":0,"post_type":"post","post_mime_type":"","comment_count":"0","filter":"raw"},{"ID":13042,"post_author":"20","post_date":"2023-08-25 00:52:05","post_date_gmt":"2023-08-24 14:52:05","post_content":"\n The \"Custom Instructions\" feature is now accessible to free users to get better control over how ChatGPT responds to their commands. Various industries previously used it for sales and marketing. Only ChatGPT plus members had access to this feature when it was introduced in July for the first time.<\/p>\n\n\n\n \u201cChatGPT will consider your custom instructions for every conversation going forward. The model will consider the instructions every time it responds, so you won\u2019t have to repeat your preferences or information in every conversation<\/em>.\u201d OpenAI Announcements<\/a>.<\/p>\n\n\n\n The feature is currently unavailable in the UK and EU, but the company has announced plans to make it accessible to users in those regions soon. This feature can be a game-changer for businesses looking to expand their reach or enhance their marketing efforts.<\/p>\n\n\n\n The feature saves users' time by excluding the repetitive task of rewriting instructions for every interaction with the chatbot. Users can choose the tone of response depending on their requirements. They can also limit the number of words in response, i.e. while writing emails.<\/p>\n\n\n\n Users can also give instructions to ChatGPT<\/a> to act as a specific occupation to get relevant responses. It can also customize the content to suit diverse audiences. Software developers can also use this for coding with specific prompts.<\/p>\n","post_title":"ChatGPT's \u201cCustom Instructions\u201d Feature Now Available For Free Users","post_excerpt":"","post_status":"publish","comment_status":"closed","ping_status":"closed","post_password":"","post_name":"chatgpts-custom-instructions-feature-now-available-for-free-users","to_ping":"","pinged":"","post_modified":"2023-08-25 00:52:14","post_modified_gmt":"2023-08-24 14:52:14","post_content_filtered":"","post_parent":0,"guid":"https:\/\/www.thedistributed.co\/?p=13042","menu_order":0,"post_type":"post","post_mime_type":"","comment_count":"0","filter":"raw"},{"ID":13030,"post_author":"17","post_date":"2023-08-10 23:19:43","post_date_gmt":"2023-08-10 13:19:43","post_content":"\n American tech giant NVIDIA recently announced a new platform for developing and deploying generative AI called \u201cAI Workbench\u201d. The news came during the ongoing SIGGRAPH (Special Interest Group on Computer Graphics and Interactive Techniques) conference.<\/p>\n\n\n\n According to a press release<\/a> from NVIDIA, the AI Workbench is an easy-to-use toolkit to help businesses and enterprises rapidly build, test, and deploy custom generative AI tools using proprietary data. The business can then scale the AI to any data center, including NVIDIA DGX Cloud, with the help of a PC or a mobile workstation.<\/p>\n\n\n\n \u201cNVIDIA AI Workbench provides a simplified path for cross-organizational teams to create the AI-based applications that are increasingly becoming essential in modern business.\u201d<\/em>, said Manuvir Das, vice president of enterprise computing at NVIDIA.<\/p>\n\n\n\n With hundreds of large language models (LLMs) available for businesses to create their own AI tools, NVIDIA has focused on providing a platform to streamline the whole process, making it easier for companies to adopt customized AI. NVIDIA has collaborated with several leading AI companies such as Dell Technologies, HP Inc., Lambda, and Lenovo to provide the necessary infrastructure for such endeavors.<\/p>\n\n\n\n NVIDIA claims the AI Workbench will be made available for early access soon. Interested parties can sign up through their website for notifications.<\/p>\n","post_title":"NVIDIA Announces \u201cAI Workbench\u201d; A New Platform for Building Generative AI","post_excerpt":"","post_status":"publish","comment_status":"closed","ping_status":"closed","post_password":"","post_name":"nvidia-announces-ai-workbench-a-new-platform-for-building-generative-ai","to_ping":"","pinged":"","post_modified":"2024-02-16 22:45:05","post_modified_gmt":"2024-02-16 11:45:05","post_content_filtered":"","post_parent":0,"guid":"https:\/\/www.thedistributed.co\/?p=13030","menu_order":0,"post_type":"post","post_mime_type":"","comment_count":"0","filter":"raw"},{"ID":12906,"post_author":"15","post_date":"2023-08-05 15:08:10","post_date_gmt":"2023-08-05 05:08:10","post_content":"\n \"Generative AI has enormous economic potential and could boost global labor productivity by more than 1 percentage point a year in the decade following widespread usage,\u201d <\/em>the report states.<\/p>\n\n\n\n Goldman Sachs Research estimates that AI investment might reach $100 billion in the U.S. and $200 billion globally by 2025. However, the near-term GDP impact is expected to be \"fairly modest\"<\/em> due to AI-related investment being a small share of the global GDP.<\/p>\n\n\n\n Investment in AI will be concentrated in four key sectors: AI model development, infrastructure supply, AI software creation, and enterprise end-users. Economists expect increased spending on AI software and hardware for model training and queries.<\/p>\n\n\n\n According to the 2021 American Business survey, only 4% of US companies currently utilize AI. CEO surveys indicate that 22% anticipate generative AI's impact on their company's labor requirements in the next three years. However, most expect to integrate AI within the next three to ten years. AI adoption may begin significantly affecting the US economy between 2025 and 2030 if these predictions hold.<\/p>\n\n\n\n Google conveyed to Australian policymakers, as reported <\/a>by The Guardian, that they believe copyright law should facilitate proper and equitable utilization of copyrighted content for AI training purposes. Google highlighted their robots.txt tool, a standardized content crawler, which permits publishers to specify website sections inaccessible to web crawlers. This stance has sparked discussions about the balance between AI advancement and copyright protection.<\/p>\n\n\n\n Experts contend that unauthorized web scraping raises concerns related to copyright and ethics. Publishers, such as News Corp., are engaging in discussions with AI companies to secure compensation for content use. The AFP recently issued an open letter<\/a> addressing this precise matter.<\/p>\n\n\n\n \u201cGenerative AI and large language models are also often trained using proprietary media content, which publishers and others invest large amounts of time and resources to produce,\u201d <\/em>the letter reads. \"In addition to violating copyright law, the resulting impact is to meaningfully reduce media diversity and undermine the financial viability of companies to invest in media coverage, further reducing the public\u2019s access to high-quality and trustworthy information.\"<\/em><\/p>\n","post_title":"Google's AI Data Collection Methods Trigger Australian Inquiry","post_excerpt":"","post_status":"publish","comment_status":"closed","ping_status":"closed","post_password":"","post_name":"googles-ai-data-collection-methods-trigger-australian-inquiry","to_ping":"","pinged":"","post_modified":"2023-08-25 00:52:17","post_modified_gmt":"2023-08-24 14:52:17","post_content_filtered":"","post_parent":0,"guid":"https:\/\/www.thedistributed.co\/?p=13056","menu_order":0,"post_type":"post","post_mime_type":"","comment_count":"0","filter":"raw"},{"ID":13042,"post_author":"20","post_date":"2023-08-25 00:52:05","post_date_gmt":"2023-08-24 14:52:05","post_content":"\n The \"Custom Instructions\" feature is now accessible to free users to get better control over how ChatGPT responds to their commands. Various industries previously used it for sales and marketing. Only ChatGPT plus members had access to this feature when it was introduced in July for the first time.<\/p>\n\n\n\n \u201cChatGPT will consider your custom instructions for every conversation going forward. The model will consider the instructions every time it responds, so you won\u2019t have to repeat your preferences or information in every conversation<\/em>.\u201d OpenAI Announcements<\/a>.<\/p>\n\n\n\n The feature is currently unavailable in the UK and EU, but the company has announced plans to make it accessible to users in those regions soon. This feature can be a game-changer for businesses looking to expand their reach or enhance their marketing efforts.<\/p>\n\n\n\n The feature saves users' time by excluding the repetitive task of rewriting instructions for every interaction with the chatbot. Users can choose the tone of response depending on their requirements. They can also limit the number of words in response, i.e. while writing emails.<\/p>\n\n\n\n Users can also give instructions to ChatGPT<\/a> to act as a specific occupation to get relevant responses. It can also customize the content to suit diverse audiences. Software developers can also use this for coding with specific prompts.<\/p>\n","post_title":"ChatGPT's \u201cCustom Instructions\u201d Feature Now Available For Free Users","post_excerpt":"","post_status":"publish","comment_status":"closed","ping_status":"closed","post_password":"","post_name":"chatgpts-custom-instructions-feature-now-available-for-free-users","to_ping":"","pinged":"","post_modified":"2023-08-25 00:52:14","post_modified_gmt":"2023-08-24 14:52:14","post_content_filtered":"","post_parent":0,"guid":"https:\/\/www.thedistributed.co\/?p=13042","menu_order":0,"post_type":"post","post_mime_type":"","comment_count":"0","filter":"raw"},{"ID":13030,"post_author":"17","post_date":"2023-08-10 23:19:43","post_date_gmt":"2023-08-10 13:19:43","post_content":"\n American tech giant NVIDIA recently announced a new platform for developing and deploying generative AI called \u201cAI Workbench\u201d. The news came during the ongoing SIGGRAPH (Special Interest Group on Computer Graphics and Interactive Techniques) conference.<\/p>\n\n\n\n According to a press release<\/a> from NVIDIA, the AI Workbench is an easy-to-use toolkit to help businesses and enterprises rapidly build, test, and deploy custom generative AI tools using proprietary data. The business can then scale the AI to any data center, including NVIDIA DGX Cloud, with the help of a PC or a mobile workstation.<\/p>\n\n\n\n \u201cNVIDIA AI Workbench provides a simplified path for cross-organizational teams to create the AI-based applications that are increasingly becoming essential in modern business.\u201d<\/em>, said Manuvir Das, vice president of enterprise computing at NVIDIA.<\/p>\n\n\n\n With hundreds of large language models (LLMs) available for businesses to create their own AI tools, NVIDIA has focused on providing a platform to streamline the whole process, making it easier for companies to adopt customized AI. NVIDIA has collaborated with several leading AI companies such as Dell Technologies, HP Inc., Lambda, and Lenovo to provide the necessary infrastructure for such endeavors.<\/p>\n\n\n\n NVIDIA claims the AI Workbench will be made available for early access soon. Interested parties can sign up through their website for notifications.<\/p>\n","post_title":"NVIDIA Announces \u201cAI Workbench\u201d; A New Platform for Building Generative AI","post_excerpt":"","post_status":"publish","comment_status":"closed","ping_status":"closed","post_password":"","post_name":"nvidia-announces-ai-workbench-a-new-platform-for-building-generative-ai","to_ping":"","pinged":"","post_modified":"2024-02-16 22:45:05","post_modified_gmt":"2024-02-16 11:45:05","post_content_filtered":"","post_parent":0,"guid":"https:\/\/www.thedistributed.co\/?p=13030","menu_order":0,"post_type":"post","post_mime_type":"","comment_count":"0","filter":"raw"},{"ID":12906,"post_author":"15","post_date":"2023-08-05 15:08:10","post_date_gmt":"2023-08-05 05:08:10","post_content":"\n \"Generative AI has enormous economic potential and could boost global labor productivity by more than 1 percentage point a year in the decade following widespread usage,\u201d <\/em>the report states.<\/p>\n\n\n\n Goldman Sachs Research estimates that AI investment might reach $100 billion in the U.S. and $200 billion globally by 2025. However, the near-term GDP impact is expected to be \"fairly modest\"<\/em> due to AI-related investment being a small share of the global GDP.<\/p>\n\n\n\n Investment in AI will be concentrated in four key sectors: AI model development, infrastructure supply, AI software creation, and enterprise end-users. Economists expect increased spending on AI software and hardware for model training and queries.<\/p>\n\n\n\n According to the 2021 American Business survey, only 4% of US companies currently utilize AI. CEO surveys indicate that 22% anticipate generative AI's impact on their company's labor requirements in the next three years. However, most expect to integrate AI within the next three to ten years. AI adoption may begin significantly affecting the US economy between 2025 and 2030 if these predictions hold.<\/p>\n\n\n\n Google presented its strategy in its submission to the Australian government's consultation on regulating high-risk AI applications. While Australia has been considering banning certain problematic uses of AI like disinformation and discrimination, Google argues that AI developers need broad access to data. This position has sparked discussions about the implications of such a move. Critics stress potential copyright issues and how this approach might affect content usage responsibility.<\/p>\n\n\n\n Google conveyed to Australian policymakers, as reported <\/a>by The Guardian, that they believe copyright law should facilitate proper and equitable utilization of copyrighted content for AI training purposes. Google highlighted their robots.txt tool, a standardized content crawler, which permits publishers to specify website sections inaccessible to web crawlers. This stance has sparked discussions about the balance between AI advancement and copyright protection.<\/p>\n\n\n\n Experts contend that unauthorized web scraping raises concerns related to copyright and ethics. Publishers, such as News Corp., are engaging in discussions with AI companies to secure compensation for content use. The AFP recently issued an open letter<\/a> addressing this precise matter.<\/p>\n\n\n\n \u201cGenerative AI and large language models are also often trained using proprietary media content, which publishers and others invest large amounts of time and resources to produce,\u201d <\/em>the letter reads. \"In addition to violating copyright law, the resulting impact is to meaningfully reduce media diversity and undermine the financial viability of companies to invest in media coverage, further reducing the public\u2019s access to high-quality and trustworthy information.\"<\/em><\/p>\n","post_title":"Google's AI Data Collection Methods Trigger Australian Inquiry","post_excerpt":"","post_status":"publish","comment_status":"closed","ping_status":"closed","post_password":"","post_name":"googles-ai-data-collection-methods-trigger-australian-inquiry","to_ping":"","pinged":"","post_modified":"2023-08-25 00:52:17","post_modified_gmt":"2023-08-24 14:52:17","post_content_filtered":"","post_parent":0,"guid":"https:\/\/www.thedistributed.co\/?p=13056","menu_order":0,"post_type":"post","post_mime_type":"","comment_count":"0","filter":"raw"},{"ID":13042,"post_author":"20","post_date":"2023-08-25 00:52:05","post_date_gmt":"2023-08-24 14:52:05","post_content":"\n The \"Custom Instructions\" feature is now accessible to free users to get better control over how ChatGPT responds to their commands. Various industries previously used it for sales and marketing. Only ChatGPT plus members had access to this feature when it was introduced in July for the first time.<\/p>\n\n\n\n \u201cChatGPT will consider your custom instructions for every conversation going forward. The model will consider the instructions every time it responds, so you won\u2019t have to repeat your preferences or information in every conversation<\/em>.\u201d OpenAI Announcements<\/a>.<\/p>\n\n\n\n The feature is currently unavailable in the UK and EU, but the company has announced plans to make it accessible to users in those regions soon. This feature can be a game-changer for businesses looking to expand their reach or enhance their marketing efforts.<\/p>\n\n\n\n The feature saves users' time by excluding the repetitive task of rewriting instructions for every interaction with the chatbot. Users can choose the tone of response depending on their requirements. They can also limit the number of words in response, i.e. while writing emails.<\/p>\n\n\n\n Users can also give instructions to ChatGPT<\/a> to act as a specific occupation to get relevant responses. It can also customize the content to suit diverse audiences. Software developers can also use this for coding with specific prompts.<\/p>\n","post_title":"ChatGPT's \u201cCustom Instructions\u201d Feature Now Available For Free Users","post_excerpt":"","post_status":"publish","comment_status":"closed","ping_status":"closed","post_password":"","post_name":"chatgpts-custom-instructions-feature-now-available-for-free-users","to_ping":"","pinged":"","post_modified":"2023-08-25 00:52:14","post_modified_gmt":"2023-08-24 14:52:14","post_content_filtered":"","post_parent":0,"guid":"https:\/\/www.thedistributed.co\/?p=13042","menu_order":0,"post_type":"post","post_mime_type":"","comment_count":"0","filter":"raw"},{"ID":13030,"post_author":"17","post_date":"2023-08-10 23:19:43","post_date_gmt":"2023-08-10 13:19:43","post_content":"\n American tech giant NVIDIA recently announced a new platform for developing and deploying generative AI called \u201cAI Workbench\u201d. The news came during the ongoing SIGGRAPH (Special Interest Group on Computer Graphics and Interactive Techniques) conference.<\/p>\n\n\n\n According to a press release<\/a> from NVIDIA, the AI Workbench is an easy-to-use toolkit to help businesses and enterprises rapidly build, test, and deploy custom generative AI tools using proprietary data. The business can then scale the AI to any data center, including NVIDIA DGX Cloud, with the help of a PC or a mobile workstation.<\/p>\n\n\n\n \u201cNVIDIA AI Workbench provides a simplified path for cross-organizational teams to create the AI-based applications that are increasingly becoming essential in modern business.\u201d<\/em>, said Manuvir Das, vice president of enterprise computing at NVIDIA.<\/p>\n\n\n\n With hundreds of large language models (LLMs) available for businesses to create their own AI tools, NVIDIA has focused on providing a platform to streamline the whole process, making it easier for companies to adopt customized AI. NVIDIA has collaborated with several leading AI companies such as Dell Technologies, HP Inc., Lambda, and Lenovo to provide the necessary infrastructure for such endeavors.<\/p>\n\n\n\n NVIDIA claims the AI Workbench will be made available for early access soon. Interested parties can sign up through their website for notifications.<\/p>\n","post_title":"NVIDIA Announces \u201cAI Workbench\u201d; A New Platform for Building Generative AI","post_excerpt":"","post_status":"publish","comment_status":"closed","ping_status":"closed","post_password":"","post_name":"nvidia-announces-ai-workbench-a-new-platform-for-building-generative-ai","to_ping":"","pinged":"","post_modified":"2024-02-16 22:45:05","post_modified_gmt":"2024-02-16 11:45:05","post_content_filtered":"","post_parent":0,"guid":"https:\/\/www.thedistributed.co\/?p=13030","menu_order":0,"post_type":"post","post_mime_type":"","comment_count":"0","filter":"raw"},{"ID":12906,"post_author":"15","post_date":"2023-08-05 15:08:10","post_date_gmt":"2023-08-05 05:08:10","post_content":"\n \"Generative AI has enormous economic potential and could boost global labor productivity by more than 1 percentage point a year in the decade following widespread usage,\u201d <\/em>the report states.<\/p>\n\n\n\n Goldman Sachs Research estimates that AI investment might reach $100 billion in the U.S. and $200 billion globally by 2025. However, the near-term GDP impact is expected to be \"fairly modest\"<\/em> due to AI-related investment being a small share of the global GDP.<\/p>\n\n\n\n Investment in AI will be concentrated in four key sectors: AI model development, infrastructure supply, AI software creation, and enterprise end-users. Economists expect increased spending on AI software and hardware for model training and queries.<\/p>\n\n\n\n According to the 2021 American Business survey, only 4% of US companies currently utilize AI. CEO surveys indicate that 22% anticipate generative AI's impact on their company's labor requirements in the next three years. However, most expect to integrate AI within the next three to ten years. AI adoption may begin significantly affecting the US economy between 2025 and 2030 if these predictions hold.<\/p>\n\n\n\n Detractors of this approach argue that this opt-out strategy contradicts copyright laws, shifting the responsibility to use copyrighted content from seekers to the copyright holders.<\/p>\n\n\n\n Google presented its strategy in its submission to the Australian government's consultation on regulating high-risk AI applications. While Australia has been considering banning certain problematic uses of AI like disinformation and discrimination, Google argues that AI developers need broad access to data. This position has sparked discussions about the implications of such a move. Critics stress potential copyright issues and how this approach might affect content usage responsibility.<\/p>\n\n\n\n Google conveyed to Australian policymakers, as reported <\/a>by The Guardian, that they believe copyright law should facilitate proper and equitable utilization of copyrighted content for AI training purposes. Google highlighted their robots.txt tool, a standardized content crawler, which permits publishers to specify website sections inaccessible to web crawlers. This stance has sparked discussions about the balance between AI advancement and copyright protection.<\/p>\n\n\n\n Experts contend that unauthorized web scraping raises concerns related to copyright and ethics. Publishers, such as News Corp., are engaging in discussions with AI companies to secure compensation for content use. The AFP recently issued an open letter<\/a> addressing this precise matter.<\/p>\n\n\n\n \u201cGenerative AI and large language models are also often trained using proprietary media content, which publishers and others invest large amounts of time and resources to produce,\u201d <\/em>the letter reads. \"In addition to violating copyright law, the resulting impact is to meaningfully reduce media diversity and undermine the financial viability of companies to invest in media coverage, further reducing the public\u2019s access to high-quality and trustworthy information.\"<\/em><\/p>\n","post_title":"Google's AI Data Collection Methods Trigger Australian Inquiry","post_excerpt":"","post_status":"publish","comment_status":"closed","ping_status":"closed","post_password":"","post_name":"googles-ai-data-collection-methods-trigger-australian-inquiry","to_ping":"","pinged":"","post_modified":"2023-08-25 00:52:17","post_modified_gmt":"2023-08-24 14:52:17","post_content_filtered":"","post_parent":0,"guid":"https:\/\/www.thedistributed.co\/?p=13056","menu_order":0,"post_type":"post","post_mime_type":"","comment_count":"0","filter":"raw"},{"ID":13042,"post_author":"20","post_date":"2023-08-25 00:52:05","post_date_gmt":"2023-08-24 14:52:05","post_content":"\n The \"Custom Instructions\" feature is now accessible to free users to get better control over how ChatGPT responds to their commands. Various industries previously used it for sales and marketing. Only ChatGPT plus members had access to this feature when it was introduced in July for the first time.<\/p>\n\n\n\n \u201cChatGPT will consider your custom instructions for every conversation going forward. The model will consider the instructions every time it responds, so you won\u2019t have to repeat your preferences or information in every conversation<\/em>.\u201d OpenAI Announcements<\/a>.<\/p>\n\n\n\n The feature is currently unavailable in the UK and EU, but the company has announced plans to make it accessible to users in those regions soon. This feature can be a game-changer for businesses looking to expand their reach or enhance their marketing efforts.<\/p>\n\n\n\n The feature saves users' time by excluding the repetitive task of rewriting instructions for every interaction with the chatbot. Users can choose the tone of response depending on their requirements. They can also limit the number of words in response, i.e. while writing emails.<\/p>\n\n\n\n Users can also give instructions to ChatGPT<\/a> to act as a specific occupation to get relevant responses. It can also customize the content to suit diverse audiences. Software developers can also use this for coding with specific prompts.<\/p>\n","post_title":"ChatGPT's \u201cCustom Instructions\u201d Feature Now Available For Free Users","post_excerpt":"","post_status":"publish","comment_status":"closed","ping_status":"closed","post_password":"","post_name":"chatgpts-custom-instructions-feature-now-available-for-free-users","to_ping":"","pinged":"","post_modified":"2023-08-25 00:52:14","post_modified_gmt":"2023-08-24 14:52:14","post_content_filtered":"","post_parent":0,"guid":"https:\/\/www.thedistributed.co\/?p=13042","menu_order":0,"post_type":"post","post_mime_type":"","comment_count":"0","filter":"raw"},{"ID":13030,"post_author":"17","post_date":"2023-08-10 23:19:43","post_date_gmt":"2023-08-10 13:19:43","post_content":"\n American tech giant NVIDIA recently announced a new platform for developing and deploying generative AI called \u201cAI Workbench\u201d. The news came during the ongoing SIGGRAPH (Special Interest Group on Computer Graphics and Interactive Techniques) conference.<\/p>\n\n\n\nFortune 500 CEO Survey<\/h2>\n\n\n\n
Goldman Sachs Research sees early AI adoption in a few industries, but broader macro effects are years away. Past technology breakthroughs, like electric motors and personal computers, took time to impact the economy significantly. These innovations needed about half of U.S. businesses to adopt them before results showed up in the macro data. <\/p>\n","post_title":"Goldman Sachs Forecasts AI Investments To Reach $200 Billion By 2025","post_excerpt":"","post_status":"publish","comment_status":"closed","ping_status":"closed","post_password":"","post_name":"goldman-sachs-forecasts-ai-investments-to-reach-200-billion-by-2025","to_ping":"","pinged":"","post_modified":"2023-08-05 15:08:17","post_modified_gmt":"2023-08-05 05:08:17","post_content_filtered":"","post_parent":0,"guid":"https:\/\/www.thedistributed.co\/?p=12906","menu_order":0,"post_type":"post","post_mime_type":"","comment_count":"0","filter":"raw"}],"next":false,"total_page":false},"paged":1,"class":"jblog_block_13"};
Fortune 500 CEO Survey<\/h2>\n\n\n\n
Goldman Sachs Research sees early AI adoption in a few industries, but broader macro effects are years away. Past technology breakthroughs, like electric motors and personal computers, took time to impact the economy significantly. These innovations needed about half of U.S. businesses to adopt them before results showed up in the macro data. <\/p>\n","post_title":"Goldman Sachs Forecasts AI Investments To Reach $200 Billion By 2025","post_excerpt":"","post_status":"publish","comment_status":"closed","ping_status":"closed","post_password":"","post_name":"goldman-sachs-forecasts-ai-investments-to-reach-200-billion-by-2025","to_ping":"","pinged":"","post_modified":"2023-08-05 15:08:17","post_modified_gmt":"2023-08-05 05:08:17","post_content_filtered":"","post_parent":0,"guid":"https:\/\/www.thedistributed.co\/?p=12906","menu_order":0,"post_type":"post","post_mime_type":"","comment_count":"0","filter":"raw"}],"next":false,"total_page":false},"paged":1,"class":"jblog_block_13"};
A recent financial giant Goldman Sachs report<\/a> suggests a global investment in new technology will surge. Within the next two years, AI-related investment might reach $200 billion.<\/p>\n\n\n\nFortune 500 CEO Survey<\/h2>\n\n\n\n
Goldman Sachs Research sees early AI adoption in a few industries, but broader macro effects are years away. Past technology breakthroughs, like electric motors and personal computers, took time to impact the economy significantly. These innovations needed about half of U.S. businesses to adopt them before results showed up in the macro data. <\/p>\n","post_title":"Goldman Sachs Forecasts AI Investments To Reach $200 Billion By 2025","post_excerpt":"","post_status":"publish","comment_status":"closed","ping_status":"closed","post_password":"","post_name":"goldman-sachs-forecasts-ai-investments-to-reach-200-billion-by-2025","to_ping":"","pinged":"","post_modified":"2023-08-05 15:08:17","post_modified_gmt":"2023-08-05 05:08:17","post_content_filtered":"","post_parent":0,"guid":"https:\/\/www.thedistributed.co\/?p=12906","menu_order":0,"post_type":"post","post_mime_type":"","comment_count":"0","filter":"raw"}],"next":false,"total_page":false},"paged":1,"class":"jblog_block_13"};
A recent financial giant Goldman Sachs report<\/a> suggests a global investment in new technology will surge. Within the next two years, AI-related investment might reach $200 billion.<\/p>\n\n\n\nFortune 500 CEO Survey<\/h2>\n\n\n\n
Goldman Sachs Research sees early AI adoption in a few industries, but broader macro effects are years away. Past technology breakthroughs, like electric motors and personal computers, took time to impact the economy significantly. These innovations needed about half of U.S. businesses to adopt them before results showed up in the macro data. <\/p>\n","post_title":"Goldman Sachs Forecasts AI Investments To Reach $200 Billion By 2025","post_excerpt":"","post_status":"publish","comment_status":"closed","ping_status":"closed","post_password":"","post_name":"goldman-sachs-forecasts-ai-investments-to-reach-200-billion-by-2025","to_ping":"","pinged":"","post_modified":"2023-08-05 15:08:17","post_modified_gmt":"2023-08-05 05:08:17","post_content_filtered":"","post_parent":0,"guid":"https:\/\/www.thedistributed.co\/?p=12906","menu_order":0,"post_type":"post","post_mime_type":"","comment_count":"0","filter":"raw"}],"next":false,"total_page":false},"paged":1,"class":"jblog_block_13"};
A recent financial giant Goldman Sachs report<\/a> suggests a global investment in new technology will surge. Within the next two years, AI-related investment might reach $200 billion.<\/p>\n\n\n\nFortune 500 CEO Survey<\/h2>\n\n\n\n
Goldman Sachs Research sees early AI adoption in a few industries, but broader macro effects are years away. Past technology breakthroughs, like electric motors and personal computers, took time to impact the economy significantly. These innovations needed about half of U.S. businesses to adopt them before results showed up in the macro data. <\/p>\n","post_title":"Goldman Sachs Forecasts AI Investments To Reach $200 Billion By 2025","post_excerpt":"","post_status":"publish","comment_status":"closed","ping_status":"closed","post_password":"","post_name":"goldman-sachs-forecasts-ai-investments-to-reach-200-billion-by-2025","to_ping":"","pinged":"","post_modified":"2023-08-05 15:08:17","post_modified_gmt":"2023-08-05 05:08:17","post_content_filtered":"","post_parent":0,"guid":"https:\/\/www.thedistributed.co\/?p=12906","menu_order":0,"post_type":"post","post_mime_type":"","comment_count":"0","filter":"raw"}],"next":false,"total_page":false},"paged":1,"class":"jblog_block_13"};
A recent financial giant Goldman Sachs report<\/a> suggests a global investment in new technology will surge. Within the next two years, AI-related investment might reach $200 billion.<\/p>\n\n\n\nFortune 500 CEO Survey<\/h2>\n\n\n\n
Goldman Sachs Research sees early AI adoption in a few industries, but broader macro effects are years away. Past technology breakthroughs, like electric motors and personal computers, took time to impact the economy significantly. These innovations needed about half of U.S. businesses to adopt them before results showed up in the macro data. <\/p>\n","post_title":"Goldman Sachs Forecasts AI Investments To Reach $200 Billion By 2025","post_excerpt":"","post_status":"publish","comment_status":"closed","ping_status":"closed","post_password":"","post_name":"goldman-sachs-forecasts-ai-investments-to-reach-200-billion-by-2025","to_ping":"","pinged":"","post_modified":"2023-08-05 15:08:17","post_modified_gmt":"2023-08-05 05:08:17","post_content_filtered":"","post_parent":0,"guid":"https:\/\/www.thedistributed.co\/?p=12906","menu_order":0,"post_type":"post","post_mime_type":"","comment_count":"0","filter":"raw"}],"next":false,"total_page":false},"paged":1,"class":"jblog_block_13"};
A recent financial giant Goldman Sachs report<\/a> suggests a global investment in new technology will surge. Within the next two years, AI-related investment might reach $200 billion.<\/p>\n\n\n\nFortune 500 CEO Survey<\/h2>\n\n\n\n
Goldman Sachs Research sees early AI adoption in a few industries, but broader macro effects are years away. Past technology breakthroughs, like electric motors and personal computers, took time to impact the economy significantly. These innovations needed about half of U.S. businesses to adopt them before results showed up in the macro data. <\/p>\n","post_title":"Goldman Sachs Forecasts AI Investments To Reach $200 Billion By 2025","post_excerpt":"","post_status":"publish","comment_status":"closed","ping_status":"closed","post_password":"","post_name":"goldman-sachs-forecasts-ai-investments-to-reach-200-billion-by-2025","to_ping":"","pinged":"","post_modified":"2023-08-05 15:08:17","post_modified_gmt":"2023-08-05 05:08:17","post_content_filtered":"","post_parent":0,"guid":"https:\/\/www.thedistributed.co\/?p=12906","menu_order":0,"post_type":"post","post_mime_type":"","comment_count":"0","filter":"raw"}],"next":false,"total_page":false},"paged":1,"class":"jblog_block_13"};
A recent financial giant Goldman Sachs report<\/a> suggests a global investment in new technology will surge. Within the next two years, AI-related investment might reach $200 billion.<\/p>\n\n\n\nFortune 500 CEO Survey<\/h2>\n\n\n\n
Goldman Sachs Research sees early AI adoption in a few industries, but broader macro effects are years away. Past technology breakthroughs, like electric motors and personal computers, took time to impact the economy significantly. These innovations needed about half of U.S. businesses to adopt them before results showed up in the macro data. <\/p>\n","post_title":"Goldman Sachs Forecasts AI Investments To Reach $200 Billion By 2025","post_excerpt":"","post_status":"publish","comment_status":"closed","ping_status":"closed","post_password":"","post_name":"goldman-sachs-forecasts-ai-investments-to-reach-200-billion-by-2025","to_ping":"","pinged":"","post_modified":"2023-08-05 15:08:17","post_modified_gmt":"2023-08-05 05:08:17","post_content_filtered":"","post_parent":0,"guid":"https:\/\/www.thedistributed.co\/?p=12906","menu_order":0,"post_type":"post","post_mime_type":"","comment_count":"0","filter":"raw"}],"next":false,"total_page":false},"paged":1,"class":"jblog_block_13"};
A recent financial giant Goldman Sachs report<\/a> suggests a global investment in new technology will surge. Within the next two years, AI-related investment might reach $200 billion.<\/p>\n\n\n\nFortune 500 CEO Survey<\/h2>\n\n\n\n
Goldman Sachs Research sees early AI adoption in a few industries, but broader macro effects are years away. Past technology breakthroughs, like electric motors and personal computers, took time to impact the economy significantly. These innovations needed about half of U.S. businesses to adopt them before results showed up in the macro data. <\/p>\n","post_title":"Goldman Sachs Forecasts AI Investments To Reach $200 Billion By 2025","post_excerpt":"","post_status":"publish","comment_status":"closed","ping_status":"closed","post_password":"","post_name":"goldman-sachs-forecasts-ai-investments-to-reach-200-billion-by-2025","to_ping":"","pinged":"","post_modified":"2023-08-05 15:08:17","post_modified_gmt":"2023-08-05 05:08:17","post_content_filtered":"","post_parent":0,"guid":"https:\/\/www.thedistributed.co\/?p=12906","menu_order":0,"post_type":"post","post_mime_type":"","comment_count":"0","filter":"raw"}],"next":false,"total_page":false},"paged":1,"class":"jblog_block_13"};
A recent financial giant Goldman Sachs report<\/a> suggests a global investment in new technology will surge. Within the next two years, AI-related investment might reach $200 billion.<\/p>\n\n\n\nFortune 500 CEO Survey<\/h2>\n\n\n\n
Goldman Sachs Research sees early AI adoption in a few industries, but broader macro effects are years away. Past technology breakthroughs, like electric motors and personal computers, took time to impact the economy significantly. These innovations needed about half of U.S. businesses to adopt them before results showed up in the macro data. <\/p>\n","post_title":"Goldman Sachs Forecasts AI Investments To Reach $200 Billion By 2025","post_excerpt":"","post_status":"publish","comment_status":"closed","ping_status":"closed","post_password":"","post_name":"goldman-sachs-forecasts-ai-investments-to-reach-200-billion-by-2025","to_ping":"","pinged":"","post_modified":"2023-08-05 15:08:17","post_modified_gmt":"2023-08-05 05:08:17","post_content_filtered":"","post_parent":0,"guid":"https:\/\/www.thedistributed.co\/?p=12906","menu_order":0,"post_type":"post","post_mime_type":"","comment_count":"0","filter":"raw"}],"next":false,"total_page":false},"paged":1,"class":"jblog_block_13"};
Benefits Of This Feature<\/h2>\n\n\n\n
A recent financial giant Goldman Sachs report<\/a> suggests a global investment in new technology will surge. Within the next two years, AI-related investment might reach $200 billion.<\/p>\n\n\n\nFortune 500 CEO Survey<\/h2>\n\n\n\n
Goldman Sachs Research sees early AI adoption in a few industries, but broader macro effects are years away. Past technology breakthroughs, like electric motors and personal computers, took time to impact the economy significantly. These innovations needed about half of U.S. businesses to adopt them before results showed up in the macro data. <\/p>\n","post_title":"Goldman Sachs Forecasts AI Investments To Reach $200 Billion By 2025","post_excerpt":"","post_status":"publish","comment_status":"closed","ping_status":"closed","post_password":"","post_name":"goldman-sachs-forecasts-ai-investments-to-reach-200-billion-by-2025","to_ping":"","pinged":"","post_modified":"2023-08-05 15:08:17","post_modified_gmt":"2023-08-05 05:08:17","post_content_filtered":"","post_parent":0,"guid":"https:\/\/www.thedistributed.co\/?p=12906","menu_order":0,"post_type":"post","post_mime_type":"","comment_count":"0","filter":"raw"}],"next":false,"total_page":false},"paged":1,"class":"jblog_block_13"};
Benefits Of This Feature<\/h2>\n\n\n\n
A recent financial giant Goldman Sachs report<\/a> suggests a global investment in new technology will surge. Within the next two years, AI-related investment might reach $200 billion.<\/p>\n\n\n\nFortune 500 CEO Survey<\/h2>\n\n\n\n
Goldman Sachs Research sees early AI adoption in a few industries, but broader macro effects are years away. Past technology breakthroughs, like electric motors and personal computers, took time to impact the economy significantly. These innovations needed about half of U.S. businesses to adopt them before results showed up in the macro data. <\/p>\n","post_title":"Goldman Sachs Forecasts AI Investments To Reach $200 Billion By 2025","post_excerpt":"","post_status":"publish","comment_status":"closed","ping_status":"closed","post_password":"","post_name":"goldman-sachs-forecasts-ai-investments-to-reach-200-billion-by-2025","to_ping":"","pinged":"","post_modified":"2023-08-05 15:08:17","post_modified_gmt":"2023-08-05 05:08:17","post_content_filtered":"","post_parent":0,"guid":"https:\/\/www.thedistributed.co\/?p=12906","menu_order":0,"post_type":"post","post_mime_type":"","comment_count":"0","filter":"raw"}],"next":false,"total_page":false},"paged":1,"class":"jblog_block_13"};
Benefits Of This Feature<\/h2>\n\n\n\n
A recent financial giant Goldman Sachs report<\/a> suggests a global investment in new technology will surge. Within the next two years, AI-related investment might reach $200 billion.<\/p>\n\n\n\nFortune 500 CEO Survey<\/h2>\n\n\n\n
Goldman Sachs Research sees early AI adoption in a few industries, but broader macro effects are years away. Past technology breakthroughs, like electric motors and personal computers, took time to impact the economy significantly. These innovations needed about half of U.S. businesses to adopt them before results showed up in the macro data. <\/p>\n","post_title":"Goldman Sachs Forecasts AI Investments To Reach $200 Billion By 2025","post_excerpt":"","post_status":"publish","comment_status":"closed","ping_status":"closed","post_password":"","post_name":"goldman-sachs-forecasts-ai-investments-to-reach-200-billion-by-2025","to_ping":"","pinged":"","post_modified":"2023-08-05 15:08:17","post_modified_gmt":"2023-08-05 05:08:17","post_content_filtered":"","post_parent":0,"guid":"https:\/\/www.thedistributed.co\/?p=12906","menu_order":0,"post_type":"post","post_mime_type":"","comment_count":"0","filter":"raw"}],"next":false,"total_page":false},"paged":1,"class":"jblog_block_13"};
Benefits Of This Feature<\/h2>\n\n\n\n
A recent financial giant Goldman Sachs report<\/a> suggests a global investment in new technology will surge. Within the next two years, AI-related investment might reach $200 billion.<\/p>\n\n\n\nFortune 500 CEO Survey<\/h2>\n\n\n\n
Goldman Sachs Research sees early AI adoption in a few industries, but broader macro effects are years away. Past technology breakthroughs, like electric motors and personal computers, took time to impact the economy significantly. These innovations needed about half of U.S. businesses to adopt them before results showed up in the macro data. <\/p>\n","post_title":"Goldman Sachs Forecasts AI Investments To Reach $200 Billion By 2025","post_excerpt":"","post_status":"publish","comment_status":"closed","ping_status":"closed","post_password":"","post_name":"goldman-sachs-forecasts-ai-investments-to-reach-200-billion-by-2025","to_ping":"","pinged":"","post_modified":"2023-08-05 15:08:17","post_modified_gmt":"2023-08-05 05:08:17","post_content_filtered":"","post_parent":0,"guid":"https:\/\/www.thedistributed.co\/?p=12906","menu_order":0,"post_type":"post","post_mime_type":"","comment_count":"0","filter":"raw"}],"next":false,"total_page":false},"paged":1,"class":"jblog_block_13"};
Benefits Of This Feature<\/h2>\n\n\n\n
A recent financial giant Goldman Sachs report<\/a> suggests a global investment in new technology will surge. Within the next two years, AI-related investment might reach $200 billion.<\/p>\n\n\n\nFortune 500 CEO Survey<\/h2>\n\n\n\n
Goldman Sachs Research sees early AI adoption in a few industries, but broader macro effects are years away. Past technology breakthroughs, like electric motors and personal computers, took time to impact the economy significantly. These innovations needed about half of U.S. businesses to adopt them before results showed up in the macro data. <\/p>\n","post_title":"Goldman Sachs Forecasts AI Investments To Reach $200 Billion By 2025","post_excerpt":"","post_status":"publish","comment_status":"closed","ping_status":"closed","post_password":"","post_name":"goldman-sachs-forecasts-ai-investments-to-reach-200-billion-by-2025","to_ping":"","pinged":"","post_modified":"2023-08-05 15:08:17","post_modified_gmt":"2023-08-05 05:08:17","post_content_filtered":"","post_parent":0,"guid":"https:\/\/www.thedistributed.co\/?p=12906","menu_order":0,"post_type":"post","post_mime_type":"","comment_count":"0","filter":"raw"}],"next":false,"total_page":false},"paged":1,"class":"jblog_block_13"};
Benefits Of This Feature<\/h2>\n\n\n\n
A recent financial giant Goldman Sachs report<\/a> suggests a global investment in new technology will surge. Within the next two years, AI-related investment might reach $200 billion.<\/p>\n\n\n\nFortune 500 CEO Survey<\/h2>\n\n\n\n
Goldman Sachs Research sees early AI adoption in a few industries, but broader macro effects are years away. Past technology breakthroughs, like electric motors and personal computers, took time to impact the economy significantly. These innovations needed about half of U.S. businesses to adopt them before results showed up in the macro data. <\/p>\n","post_title":"Goldman Sachs Forecasts AI Investments To Reach $200 Billion By 2025","post_excerpt":"","post_status":"publish","comment_status":"closed","ping_status":"closed","post_password":"","post_name":"goldman-sachs-forecasts-ai-investments-to-reach-200-billion-by-2025","to_ping":"","pinged":"","post_modified":"2023-08-05 15:08:17","post_modified_gmt":"2023-08-05 05:08:17","post_content_filtered":"","post_parent":0,"guid":"https:\/\/www.thedistributed.co\/?p=12906","menu_order":0,"post_type":"post","post_mime_type":"","comment_count":"0","filter":"raw"}],"next":false,"total_page":false},"paged":1,"class":"jblog_block_13"};
Here's What The Experts Are Saying<\/h2>\n\n\n\n
Benefits Of This Feature<\/h2>\n\n\n\n
A recent financial giant Goldman Sachs report<\/a> suggests a global investment in new technology will surge. Within the next two years, AI-related investment might reach $200 billion.<\/p>\n\n\n\nFortune 500 CEO Survey<\/h2>\n\n\n\n
Goldman Sachs Research sees early AI adoption in a few industries, but broader macro effects are years away. Past technology breakthroughs, like electric motors and personal computers, took time to impact the economy significantly. These innovations needed about half of U.S. businesses to adopt them before results showed up in the macro data. <\/p>\n","post_title":"Goldman Sachs Forecasts AI Investments To Reach $200 Billion By 2025","post_excerpt":"","post_status":"publish","comment_status":"closed","ping_status":"closed","post_password":"","post_name":"goldman-sachs-forecasts-ai-investments-to-reach-200-billion-by-2025","to_ping":"","pinged":"","post_modified":"2023-08-05 15:08:17","post_modified_gmt":"2023-08-05 05:08:17","post_content_filtered":"","post_parent":0,"guid":"https:\/\/www.thedistributed.co\/?p=12906","menu_order":0,"post_type":"post","post_mime_type":"","comment_count":"0","filter":"raw"}],"next":false,"total_page":false},"paged":1,"class":"jblog_block_13"};
Here's What The Experts Are Saying<\/h2>\n\n\n\n
Benefits Of This Feature<\/h2>\n\n\n\n
A recent financial giant Goldman Sachs report<\/a> suggests a global investment in new technology will surge. Within the next two years, AI-related investment might reach $200 billion.<\/p>\n\n\n\nFortune 500 CEO Survey<\/h2>\n\n\n\n
Goldman Sachs Research sees early AI adoption in a few industries, but broader macro effects are years away. Past technology breakthroughs, like electric motors and personal computers, took time to impact the economy significantly. These innovations needed about half of U.S. businesses to adopt them before results showed up in the macro data. <\/p>\n","post_title":"Goldman Sachs Forecasts AI Investments To Reach $200 Billion By 2025","post_excerpt":"","post_status":"publish","comment_status":"closed","ping_status":"closed","post_password":"","post_name":"goldman-sachs-forecasts-ai-investments-to-reach-200-billion-by-2025","to_ping":"","pinged":"","post_modified":"2023-08-05 15:08:17","post_modified_gmt":"2023-08-05 05:08:17","post_content_filtered":"","post_parent":0,"guid":"https:\/\/www.thedistributed.co\/?p=12906","menu_order":0,"post_type":"post","post_mime_type":"","comment_count":"0","filter":"raw"}],"next":false,"total_page":false},"paged":1,"class":"jblog_block_13"};
Here's What The Experts Are Saying<\/h2>\n\n\n\n
Benefits Of This Feature<\/h2>\n\n\n\n
A recent financial giant Goldman Sachs report<\/a> suggests a global investment in new technology will surge. Within the next two years, AI-related investment might reach $200 billion.<\/p>\n\n\n\nFortune 500 CEO Survey<\/h2>\n\n\n\n
Goldman Sachs Research sees early AI adoption in a few industries, but broader macro effects are years away. Past technology breakthroughs, like electric motors and personal computers, took time to impact the economy significantly. These innovations needed about half of U.S. businesses to adopt them before results showed up in the macro data. <\/p>\n","post_title":"Goldman Sachs Forecasts AI Investments To Reach $200 Billion By 2025","post_excerpt":"","post_status":"publish","comment_status":"closed","ping_status":"closed","post_password":"","post_name":"goldman-sachs-forecasts-ai-investments-to-reach-200-billion-by-2025","to_ping":"","pinged":"","post_modified":"2023-08-05 15:08:17","post_modified_gmt":"2023-08-05 05:08:17","post_content_filtered":"","post_parent":0,"guid":"https:\/\/www.thedistributed.co\/?p=12906","menu_order":0,"post_type":"post","post_mime_type":"","comment_count":"0","filter":"raw"}],"next":false,"total_page":false},"paged":1,"class":"jblog_block_13"};
Here's What The Experts Are Saying<\/h2>\n\n\n\n
Benefits Of This Feature<\/h2>\n\n\n\n