AlphaProteo is trained using data from the Protein Data Bank. It also incorporates \u201cmore than 100 million predicted structures\u201d<\/em> from Google\u2019s other AI systems, including AlphaFold.<\/p>\n\n\n\n AlphaProteo was developed by two research teams under Google: the Protein Design team and the Wet Lab team. Currently, the model is in development. <\/p>\n\n\n\n <\/p>\n","post_title":"Google Unveils AlphaProteo: An AI System Designed For Biology And Health Research","post_excerpt":"","post_status":"publish","comment_status":"closed","ping_status":"closed","post_password":"","post_name":"google-unveils-alphaproteo-an-ai-system-designed-for-biology-and-health-research","to_ping":"","pinged":"","post_modified":"2024-09-14 20:23:21","post_modified_gmt":"2024-09-14 10:23:21","post_content_filtered":"","post_parent":0,"guid":"https:\/\/www.thedistributed.co\/?p=18622","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"};
The reveal of AlphaProteo is in keeping with Google\u2019s endeavor to create AI tools to further health-related research. Earlier this year, the company launched AlphaFold 3, an AI model that can predict protein structures. They have also released AlphaMissense which catalogs millions of genetic mutations.<\/p>\n\n\n\n AlphaProteo is trained using data from the Protein Data Bank. It also incorporates \u201cmore than 100 million predicted structures\u201d<\/em> from Google\u2019s other AI systems, including AlphaFold.<\/p>\n\n\n\n AlphaProteo was developed by two research teams under Google: the Protein Design team and the Wet Lab team. Currently, the model is in development. <\/p>\n\n\n\n <\/p>\n","post_title":"Google Unveils AlphaProteo: An AI System Designed For Biology And Health Research","post_excerpt":"","post_status":"publish","comment_status":"closed","ping_status":"closed","post_password":"","post_name":"google-unveils-alphaproteo-an-ai-system-designed-for-biology-and-health-research","to_ping":"","pinged":"","post_modified":"2024-09-14 20:23:21","post_modified_gmt":"2024-09-14 10:23:21","post_content_filtered":"","post_parent":0,"guid":"https:\/\/www.thedistributed.co\/?p=18622","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"};
See Related: <\/em><\/strong>Google Announces DeepMind; Accelerating Its Attempt At Leading The AI Race<\/a><\/p>\n\n\n\n The reveal of AlphaProteo is in keeping with Google\u2019s endeavor to create AI tools to further health-related research. Earlier this year, the company launched AlphaFold 3, an AI model that can predict protein structures. They have also released AlphaMissense which catalogs millions of genetic mutations.<\/p>\n\n\n\n AlphaProteo is trained using data from the Protein Data Bank. It also incorporates \u201cmore than 100 million predicted structures\u201d<\/em> from Google\u2019s other AI systems, including AlphaFold.<\/p>\n\n\n\n AlphaProteo was developed by two research teams under Google: the Protein Design team and the Wet Lab team. Currently, the model is in development. <\/p>\n\n\n\n <\/p>\n","post_title":"Google Unveils AlphaProteo: An AI System Designed For Biology And Health Research","post_excerpt":"","post_status":"publish","comment_status":"closed","ping_status":"closed","post_password":"","post_name":"google-unveils-alphaproteo-an-ai-system-designed-for-biology-and-health-research","to_ping":"","pinged":"","post_modified":"2024-09-14 20:23:21","post_modified_gmt":"2024-09-14 10:23:21","post_content_filtered":"","post_parent":0,"guid":"https:\/\/www.thedistributed.co\/?p=18622","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"};
AlphaProteo is claimed to be the first of its kind; an AI system that can generate novel proteins that bind with target molecules. Such binding proteins can help researchers in various fields including drug development, cancer treatment, and cell and tissue imaging. Google also states this technology can aid in understanding and properly diagnosing human diseases. <\/p>\n\n\n\n See Related: <\/em><\/strong>Google Announces DeepMind; Accelerating Its Attempt At Leading The AI Race<\/a><\/p>\n\n\n\n The reveal of AlphaProteo is in keeping with Google\u2019s endeavor to create AI tools to further health-related research. Earlier this year, the company launched AlphaFold 3, an AI model that can predict protein structures. They have also released AlphaMissense which catalogs millions of genetic mutations.<\/p>\n\n\n\n AlphaProteo is trained using data from the Protein Data Bank. It also incorporates \u201cmore than 100 million predicted structures\u201d<\/em> from Google\u2019s other AI systems, including AlphaFold.<\/p>\n\n\n\n AlphaProteo was developed by two research teams under Google: the Protein Design team and the Wet Lab team. Currently, the model is in development. <\/p>\n\n\n\n <\/p>\n","post_title":"Google Unveils AlphaProteo: An AI System Designed For Biology And Health Research","post_excerpt":"","post_status":"publish","comment_status":"closed","ping_status":"closed","post_password":"","post_name":"google-unveils-alphaproteo-an-ai-system-designed-for-biology-and-health-research","to_ping":"","pinged":"","post_modified":"2024-09-14 20:23:21","post_modified_gmt":"2024-09-14 10:23:21","post_content_filtered":"","post_parent":0,"guid":"https:\/\/www.thedistributed.co\/?p=18622","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"};
\u201cToday, we introduce AlphaProteo, our first AI system for designing novel, high-strength protein binders to serve as building blocks for biological and health research\u201d<\/em><\/strong>, the company stated in a blog post<\/a>. <\/p>\n\n\n\n AlphaProteo is claimed to be the first of its kind; an AI system that can generate novel proteins that bind with target molecules. Such binding proteins can help researchers in various fields including drug development, cancer treatment, and cell and tissue imaging. Google also states this technology can aid in understanding and properly diagnosing human diseases. <\/p>\n\n\n\n See Related: <\/em><\/strong>Google Announces DeepMind; Accelerating Its Attempt At Leading The AI Race<\/a><\/p>\n\n\n\n The reveal of AlphaProteo is in keeping with Google\u2019s endeavor to create AI tools to further health-related research. Earlier this year, the company launched AlphaFold 3, an AI model that can predict protein structures. They have also released AlphaMissense which catalogs millions of genetic mutations.<\/p>\n\n\n\n AlphaProteo is trained using data from the Protein Data Bank. It also incorporates \u201cmore than 100 million predicted structures\u201d<\/em> from Google\u2019s other AI systems, including AlphaFold.<\/p>\n\n\n\n AlphaProteo was developed by two research teams under Google: the Protein Design team and the Wet Lab team. Currently, the model is in development. <\/p>\n\n\n\n <\/p>\n","post_title":"Google Unveils AlphaProteo: An AI System Designed For Biology And Health Research","post_excerpt":"","post_status":"publish","comment_status":"closed","ping_status":"closed","post_password":"","post_name":"google-unveils-alphaproteo-an-ai-system-designed-for-biology-and-health-research","to_ping":"","pinged":"","post_modified":"2024-09-14 20:23:21","post_modified_gmt":"2024-09-14 10:23:21","post_content_filtered":"","post_parent":0,"guid":"https:\/\/www.thedistributed.co\/?p=18622","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"};
Google recently presented a new AI system called AlphaProteo designed for health and biological research. According to Google, this new technology has the \u201cpotential for advancing drug design, disease understanding, and more\u201d.<\/em><\/p>\n\n\n\n \u201cToday, we introduce AlphaProteo, our first AI system for designing novel, high-strength protein binders to serve as building blocks for biological and health research\u201d<\/em><\/strong>, the company stated in a blog post<\/a>. <\/p>\n\n\n\n AlphaProteo is claimed to be the first of its kind; an AI system that can generate novel proteins that bind with target molecules. Such binding proteins can help researchers in various fields including drug development, cancer treatment, and cell and tissue imaging. Google also states this technology can aid in understanding and properly diagnosing human diseases. <\/p>\n\n\n\n See Related: <\/em><\/strong>Google Announces DeepMind; Accelerating Its Attempt At Leading The AI Race<\/a><\/p>\n\n\n\n The reveal of AlphaProteo is in keeping with Google\u2019s endeavor to create AI tools to further health-related research. Earlier this year, the company launched AlphaFold 3, an AI model that can predict protein structures. They have also released AlphaMissense which catalogs millions of genetic mutations.<\/p>\n\n\n\n AlphaProteo is trained using data from the Protein Data Bank. It also incorporates \u201cmore than 100 million predicted structures\u201d<\/em> from Google\u2019s other AI systems, including AlphaFold.<\/p>\n\n\n\n AlphaProteo was developed by two research teams under Google: the Protein Design team and the Wet Lab team. Currently, the model is in development. <\/p>\n\n\n\n <\/p>\n","post_title":"Google Unveils AlphaProteo: An AI System Designed For Biology And Health Research","post_excerpt":"","post_status":"publish","comment_status":"closed","ping_status":"closed","post_password":"","post_name":"google-unveils-alphaproteo-an-ai-system-designed-for-biology-and-health-research","to_ping":"","pinged":"","post_modified":"2024-09-14 20:23:21","post_modified_gmt":"2024-09-14 10:23:21","post_content_filtered":"","post_parent":0,"guid":"https:\/\/www.thedistributed.co\/?p=18622","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"};
As part of this program, adult users of FaceBook and Instagram in the UK will receive notifications about the data mining process, including access to an objection form. Meta claims it will not contact any user who submits an objection.<\/p>\n","post_title":"Meta To Implement Controversial Plan To Use Social Media Posts To Train Generative AI","post_excerpt":"","post_status":"publish","comment_status":"closed","ping_status":"closed","post_password":"","post_name":"meta-to-implement-controversial-plan-to-use-social-media-posts-to-train-generative-ai","to_ping":"","pinged":"\nhttps:\/\/about.fb.com\/news\/2024\/09\/building-ai-technology-for-the-uk-in-a-responsible-and-transparent-way\/","post_modified":"2024-09-21 04:12:00","post_modified_gmt":"2024-09-20 18:12:00","post_content_filtered":"","post_parent":0,"guid":"https:\/\/www.thedistributed.co\/?p=18746","menu_order":0,"post_type":"post","post_mime_type":"","comment_count":"0","filter":"raw"},{"ID":18622,"post_author":"17","post_date":"2024-09-14 20:21:09","post_date_gmt":"2024-09-14 10:21:09","post_content":"\n Google recently presented a new AI system called AlphaProteo designed for health and biological research. According to Google, this new technology has the \u201cpotential for advancing drug design, disease understanding, and more\u201d.<\/em><\/p>\n\n\n\n \u201cToday, we introduce AlphaProteo, our first AI system for designing novel, high-strength protein binders to serve as building blocks for biological and health research\u201d<\/em><\/strong>, the company stated in a blog post<\/a>. <\/p>\n\n\n\n AlphaProteo is claimed to be the first of its kind; an AI system that can generate novel proteins that bind with target molecules. Such binding proteins can help researchers in various fields including drug development, cancer treatment, and cell and tissue imaging. Google also states this technology can aid in understanding and properly diagnosing human diseases. <\/p>\n\n\n\n See Related: <\/em><\/strong>Google Announces DeepMind; Accelerating Its Attempt At Leading The AI Race<\/a><\/p>\n\n\n\n The reveal of AlphaProteo is in keeping with Google\u2019s endeavor to create AI tools to further health-related research. Earlier this year, the company launched AlphaFold 3, an AI model that can predict protein structures. They have also released AlphaMissense which catalogs millions of genetic mutations.<\/p>\n\n\n\n AlphaProteo is trained using data from the Protein Data Bank. It also incorporates \u201cmore than 100 million predicted structures\u201d<\/em> from Google\u2019s other AI systems, including AlphaFold.<\/p>\n\n\n\n AlphaProteo was developed by two research teams under Google: the Protein Design team and the Wet Lab team. Currently, the model is in development. <\/p>\n\n\n\n <\/p>\n","post_title":"Google Unveils AlphaProteo: An AI System Designed For Biology And Health Research","post_excerpt":"","post_status":"publish","comment_status":"closed","ping_status":"closed","post_password":"","post_name":"google-unveils-alphaproteo-an-ai-system-designed-for-biology-and-health-research","to_ping":"","pinged":"","post_modified":"2024-09-14 20:23:21","post_modified_gmt":"2024-09-14 10:23:21","post_content_filtered":"","post_parent":0,"guid":"https:\/\/www.thedistributed.co\/?p=18622","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"};
Meta also clarified what data they will collect from users. The company said, \u201cWe do not use people\u2019s private messages with friends and family to train for AI at Meta, and we do not use information from accounts of people in the UK under the age of 18. We\u2019ll use public information \u2013 such as public posts and comments, or public photos and captions\u201d<\/em><\/strong>.<\/p>\n\n\n\n As part of this program, adult users of FaceBook and Instagram in the UK will receive notifications about the data mining process, including access to an objection form. Meta claims it will not contact any user who submits an objection.<\/p>\n","post_title":"Meta To Implement Controversial Plan To Use Social Media Posts To Train Generative AI","post_excerpt":"","post_status":"publish","comment_status":"closed","ping_status":"closed","post_password":"","post_name":"meta-to-implement-controversial-plan-to-use-social-media-posts-to-train-generative-ai","to_ping":"","pinged":"\nhttps:\/\/about.fb.com\/news\/2024\/09\/building-ai-technology-for-the-uk-in-a-responsible-and-transparent-way\/","post_modified":"2024-09-21 04:12:00","post_modified_gmt":"2024-09-20 18:12:00","post_content_filtered":"","post_parent":0,"guid":"https:\/\/www.thedistributed.co\/?p=18746","menu_order":0,"post_type":"post","post_mime_type":"","comment_count":"0","filter":"raw"},{"ID":18622,"post_author":"17","post_date":"2024-09-14 20:21:09","post_date_gmt":"2024-09-14 10:21:09","post_content":"\n Google recently presented a new AI system called AlphaProteo designed for health and biological research. According to Google, this new technology has the \u201cpotential for advancing drug design, disease understanding, and more\u201d.<\/em><\/p>\n\n\n\n \u201cToday, we introduce AlphaProteo, our first AI system for designing novel, high-strength protein binders to serve as building blocks for biological and health research\u201d<\/em><\/strong>, the company stated in a blog post<\/a>. <\/p>\n\n\n\n AlphaProteo is claimed to be the first of its kind; an AI system that can generate novel proteins that bind with target molecules. Such binding proteins can help researchers in various fields including drug development, cancer treatment, and cell and tissue imaging. Google also states this technology can aid in understanding and properly diagnosing human diseases. <\/p>\n\n\n\n See Related: <\/em><\/strong>Google Announces DeepMind; Accelerating Its Attempt At Leading The AI Race<\/a><\/p>\n\n\n\n The reveal of AlphaProteo is in keeping with Google\u2019s endeavor to create AI tools to further health-related research. Earlier this year, the company launched AlphaFold 3, an AI model that can predict protein structures. They have also released AlphaMissense which catalogs millions of genetic mutations.<\/p>\n\n\n\n AlphaProteo is trained using data from the Protein Data Bank. It also incorporates \u201cmore than 100 million predicted structures\u201d<\/em> from Google\u2019s other AI systems, including AlphaFold.<\/p>\n\n\n\n AlphaProteo was developed by two research teams under Google: the Protein Design team and the Wet Lab team. Currently, the model is in development. <\/p>\n\n\n\n <\/p>\n","post_title":"Google Unveils AlphaProteo: An AI System Designed For Biology And Health Research","post_excerpt":"","post_status":"publish","comment_status":"closed","ping_status":"closed","post_password":"","post_name":"google-unveils-alphaproteo-an-ai-system-designed-for-biology-and-health-research","to_ping":"","pinged":"","post_modified":"2024-09-14 20:23:21","post_modified_gmt":"2024-09-14 10:23:21","post_content_filtered":"","post_parent":0,"guid":"https:\/\/www.thedistributed.co\/?p=18622","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"};
Meta states it has \u201cengaged positively with the Information Commissioner\u2019s Office (ICO) and welcomes the constructive approach that the ICO has taken\u201d.<\/em> Meta added that the guidance provided by the ICO would help form the basis for \u201clegitimate interests\u201d, allowing the company to collect certain first-party data.\u00a0<\/p>\n\n\n\n Meta also clarified what data they will collect from users. The company said, \u201cWe do not use people\u2019s private messages with friends and family to train for AI at Meta, and we do not use information from accounts of people in the UK under the age of 18. We\u2019ll use public information \u2013 such as public posts and comments, or public photos and captions\u201d<\/em><\/strong>.<\/p>\n\n\n\n As part of this program, adult users of FaceBook and Instagram in the UK will receive notifications about the data mining process, including access to an objection form. Meta claims it will not contact any user who submits an objection.<\/p>\n","post_title":"Meta To Implement Controversial Plan To Use Social Media Posts To Train Generative AI","post_excerpt":"","post_status":"publish","comment_status":"closed","ping_status":"closed","post_password":"","post_name":"meta-to-implement-controversial-plan-to-use-social-media-posts-to-train-generative-ai","to_ping":"","pinged":"\nhttps:\/\/about.fb.com\/news\/2024\/09\/building-ai-technology-for-the-uk-in-a-responsible-and-transparent-way\/","post_modified":"2024-09-21 04:12:00","post_modified_gmt":"2024-09-20 18:12:00","post_content_filtered":"","post_parent":0,"guid":"https:\/\/www.thedistributed.co\/?p=18746","menu_order":0,"post_type":"post","post_mime_type":"","comment_count":"0","filter":"raw"},{"ID":18622,"post_author":"17","post_date":"2024-09-14 20:21:09","post_date_gmt":"2024-09-14 10:21:09","post_content":"\n Google recently presented a new AI system called AlphaProteo designed for health and biological research. According to Google, this new technology has the \u201cpotential for advancing drug design, disease understanding, and more\u201d.<\/em><\/p>\n\n\n\n \u201cToday, we introduce AlphaProteo, our first AI system for designing novel, high-strength protein binders to serve as building blocks for biological and health research\u201d<\/em><\/strong>, the company stated in a blog post<\/a>. <\/p>\n\n\n\n AlphaProteo is claimed to be the first of its kind; an AI system that can generate novel proteins that bind with target molecules. Such binding proteins can help researchers in various fields including drug development, cancer treatment, and cell and tissue imaging. Google also states this technology can aid in understanding and properly diagnosing human diseases. <\/p>\n\n\n\n See Related: <\/em><\/strong>Google Announces DeepMind; Accelerating Its Attempt At Leading The AI Race<\/a><\/p>\n\n\n\n The reveal of AlphaProteo is in keeping with Google\u2019s endeavor to create AI tools to further health-related research. Earlier this year, the company launched AlphaFold 3, an AI model that can predict protein structures. They have also released AlphaMissense which catalogs millions of genetic mutations.<\/p>\n\n\n\n AlphaProteo is trained using data from the Protein Data Bank. It also incorporates \u201cmore than 100 million predicted structures\u201d<\/em> from Google\u2019s other AI systems, including AlphaFold.<\/p>\n\n\n\n AlphaProteo was developed by two research teams under Google: the Protein Design team and the Wet Lab team. Currently, the model is in development. <\/p>\n\n\n\n <\/p>\n","post_title":"Google Unveils AlphaProteo: An AI System Designed For Biology And Health Research","post_excerpt":"","post_status":"publish","comment_status":"closed","ping_status":"closed","post_password":"","post_name":"google-unveils-alphaproteo-an-ai-system-designed-for-biology-and-health-research","to_ping":"","pinged":"","post_modified":"2024-09-14 20:23:21","post_modified_gmt":"2024-09-14 10:23:21","post_content_filtered":"","post_parent":0,"guid":"https:\/\/www.thedistributed.co\/?p=18622","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"};
Meta states it has \u201cengaged positively with the Information Commissioner\u2019s Office (ICO) and welcomes the constructive approach that the ICO has taken\u201d.<\/em> Meta added that the guidance provided by the ICO would help form the basis for \u201clegitimate interests\u201d, allowing the company to collect certain first-party data.\u00a0<\/p>\n\n\n\n Meta also clarified what data they will collect from users. The company said, \u201cWe do not use people\u2019s private messages with friends and family to train for AI at Meta, and we do not use information from accounts of people in the UK under the age of 18. We\u2019ll use public information \u2013 such as public posts and comments, or public photos and captions\u201d<\/em><\/strong>.<\/p>\n\n\n\n As part of this program, adult users of FaceBook and Instagram in the UK will receive notifications about the data mining process, including access to an objection form. Meta claims it will not contact any user who submits an objection.<\/p>\n","post_title":"Meta To Implement Controversial Plan To Use Social Media Posts To Train Generative AI","post_excerpt":"","post_status":"publish","comment_status":"closed","ping_status":"closed","post_password":"","post_name":"meta-to-implement-controversial-plan-to-use-social-media-posts-to-train-generative-ai","to_ping":"","pinged":"\nhttps:\/\/about.fb.com\/news\/2024\/09\/building-ai-technology-for-the-uk-in-a-responsible-and-transparent-way\/","post_modified":"2024-09-21 04:12:00","post_modified_gmt":"2024-09-20 18:12:00","post_content_filtered":"","post_parent":0,"guid":"https:\/\/www.thedistributed.co\/?p=18746","menu_order":0,"post_type":"post","post_mime_type":"","comment_count":"0","filter":"raw"},{"ID":18622,"post_author":"17","post_date":"2024-09-14 20:21:09","post_date_gmt":"2024-09-14 10:21:09","post_content":"\n Google recently presented a new AI system called AlphaProteo designed for health and biological research. According to Google, this new technology has the \u201cpotential for advancing drug design, disease understanding, and more\u201d.<\/em><\/p>\n\n\n\n \u201cToday, we introduce AlphaProteo, our first AI system for designing novel, high-strength protein binders to serve as building blocks for biological and health research\u201d<\/em><\/strong>, the company stated in a blog post<\/a>. <\/p>\n\n\n\n AlphaProteo is claimed to be the first of its kind; an AI system that can generate novel proteins that bind with target molecules. Such binding proteins can help researchers in various fields including drug development, cancer treatment, and cell and tissue imaging. Google also states this technology can aid in understanding and properly diagnosing human diseases. <\/p>\n\n\n\n See Related: <\/em><\/strong>Google Announces DeepMind; Accelerating Its Attempt At Leading The AI Race<\/a><\/p>\n\n\n\n The reveal of AlphaProteo is in keeping with Google\u2019s endeavor to create AI tools to further health-related research. Earlier this year, the company launched AlphaFold 3, an AI model that can predict protein structures. They have also released AlphaMissense which catalogs millions of genetic mutations.<\/p>\n\n\n\n AlphaProteo is trained using data from the Protein Data Bank. It also incorporates \u201cmore than 100 million predicted structures\u201d<\/em> from Google\u2019s other AI systems, including AlphaFold.<\/p>\n\n\n\n AlphaProteo was developed by two research teams under Google: the Protein Design team and the Wet Lab team. Currently, the model is in development. <\/p>\n\n\n\n <\/p>\n","post_title":"Google Unveils AlphaProteo: An AI System Designed For Biology And Health Research","post_excerpt":"","post_status":"publish","comment_status":"closed","ping_status":"closed","post_password":"","post_name":"google-unveils-alphaproteo-an-ai-system-designed-for-biology-and-health-research","to_ping":"","pinged":"","post_modified":"2024-09-14 20:23:21","post_modified_gmt":"2024-09-14 10:23:21","post_content_filtered":"","post_parent":0,"guid":"https:\/\/www.thedistributed.co\/?p=18622","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"};
See Related: <\/em><\/strong>Meta Introduces Advanced AI Chatbots To All Its Apps, Revolutionizing User Interactions<\/a><\/p>\n\n\n\n Meta states it has \u201cengaged positively with the Information Commissioner\u2019s Office (ICO) and welcomes the constructive approach that the ICO has taken\u201d.<\/em> Meta added that the guidance provided by the ICO would help form the basis for \u201clegitimate interests\u201d, allowing the company to collect certain first-party data.\u00a0<\/p>\n\n\n\n Meta also clarified what data they will collect from users. The company said, \u201cWe do not use people\u2019s private messages with friends and family to train for AI at Meta, and we do not use information from accounts of people in the UK under the age of 18. We\u2019ll use public information \u2013 such as public posts and comments, or public photos and captions\u201d<\/em><\/strong>.<\/p>\n\n\n\n As part of this program, adult users of FaceBook and Instagram in the UK will receive notifications about the data mining process, including access to an objection form. Meta claims it will not contact any user who submits an objection.<\/p>\n","post_title":"Meta To Implement Controversial Plan To Use Social Media Posts To Train Generative AI","post_excerpt":"","post_status":"publish","comment_status":"closed","ping_status":"closed","post_password":"","post_name":"meta-to-implement-controversial-plan-to-use-social-media-posts-to-train-generative-ai","to_ping":"","pinged":"\nhttps:\/\/about.fb.com\/news\/2024\/09\/building-ai-technology-for-the-uk-in-a-responsible-and-transparent-way\/","post_modified":"2024-09-21 04:12:00","post_modified_gmt":"2024-09-20 18:12:00","post_content_filtered":"","post_parent":0,"guid":"https:\/\/www.thedistributed.co\/?p=18746","menu_order":0,"post_type":"post","post_mime_type":"","comment_count":"0","filter":"raw"},{"ID":18622,"post_author":"17","post_date":"2024-09-14 20:21:09","post_date_gmt":"2024-09-14 10:21:09","post_content":"\n Google recently presented a new AI system called AlphaProteo designed for health and biological research. According to Google, this new technology has the \u201cpotential for advancing drug design, disease understanding, and more\u201d.<\/em><\/p>\n\n\n\n \u201cToday, we introduce AlphaProteo, our first AI system for designing novel, high-strength protein binders to serve as building blocks for biological and health research\u201d<\/em><\/strong>, the company stated in a blog post<\/a>. <\/p>\n\n\n\n AlphaProteo is claimed to be the first of its kind; an AI system that can generate novel proteins that bind with target molecules. Such binding proteins can help researchers in various fields including drug development, cancer treatment, and cell and tissue imaging. Google also states this technology can aid in understanding and properly diagnosing human diseases. <\/p>\n\n\n\n See Related: <\/em><\/strong>Google Announces DeepMind; Accelerating Its Attempt At Leading The AI Race<\/a><\/p>\n\n\n\n The reveal of AlphaProteo is in keeping with Google\u2019s endeavor to create AI tools to further health-related research. Earlier this year, the company launched AlphaFold 3, an AI model that can predict protein structures. They have also released AlphaMissense which catalogs millions of genetic mutations.<\/p>\n\n\n\n AlphaProteo is trained using data from the Protein Data Bank. It also incorporates \u201cmore than 100 million predicted structures\u201d<\/em> from Google\u2019s other AI systems, including AlphaFold.<\/p>\n\n\n\n AlphaProteo was developed by two research teams under Google: the Protein Design team and the Wet Lab team. Currently, the model is in development. <\/p>\n\n\n\n <\/p>\n","post_title":"Google Unveils AlphaProteo: An AI System Designed For Biology And Health Research","post_excerpt":"","post_status":"publish","comment_status":"closed","ping_status":"closed","post_password":"","post_name":"google-unveils-alphaproteo-an-ai-system-designed-for-biology-and-health-research","to_ping":"","pinged":"","post_modified":"2024-09-14 20:23:21","post_modified_gmt":"2024-09-14 10:23:21","post_content_filtered":"","post_parent":0,"guid":"https:\/\/www.thedistributed.co\/?p=18622","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"};
The operation was originally announced in 2023 but soon met significant backlash owing to security and privacy concerns. Various groups such as the Open Rights Group (ORG) and None of Your Business (NOYB) opposed such an initiative<\/a>. It was subsequently halted by the Information Commissioner\u2019s Office (ICO) in the United Kingdom. This plan has also been banned in the EU. <\/p>\n\n\n\n See Related: <\/em><\/strong>Meta Introduces Advanced AI Chatbots To All Its Apps, Revolutionizing User Interactions<\/a><\/p>\n\n\n\n Meta states it has \u201cengaged positively with the Information Commissioner\u2019s Office (ICO) and welcomes the constructive approach that the ICO has taken\u201d.<\/em> Meta added that the guidance provided by the ICO would help form the basis for \u201clegitimate interests\u201d, allowing the company to collect certain first-party data.\u00a0<\/p>\n\n\n\n Meta also clarified what data they will collect from users. The company said, \u201cWe do not use people\u2019s private messages with friends and family to train for AI at Meta, and we do not use information from accounts of people in the UK under the age of 18. We\u2019ll use public information \u2013 such as public posts and comments, or public photos and captions\u201d<\/em><\/strong>.<\/p>\n\n\n\n As part of this program, adult users of FaceBook and Instagram in the UK will receive notifications about the data mining process, including access to an objection form. Meta claims it will not contact any user who submits an objection.<\/p>\n","post_title":"Meta To Implement Controversial Plan To Use Social Media Posts To Train Generative AI","post_excerpt":"","post_status":"publish","comment_status":"closed","ping_status":"closed","post_password":"","post_name":"meta-to-implement-controversial-plan-to-use-social-media-posts-to-train-generative-ai","to_ping":"","pinged":"\nhttps:\/\/about.fb.com\/news\/2024\/09\/building-ai-technology-for-the-uk-in-a-responsible-and-transparent-way\/","post_modified":"2024-09-21 04:12:00","post_modified_gmt":"2024-09-20 18:12:00","post_content_filtered":"","post_parent":0,"guid":"https:\/\/www.thedistributed.co\/?p=18746","menu_order":0,"post_type":"post","post_mime_type":"","comment_count":"0","filter":"raw"},{"ID":18622,"post_author":"17","post_date":"2024-09-14 20:21:09","post_date_gmt":"2024-09-14 10:21:09","post_content":"\n Google recently presented a new AI system called AlphaProteo designed for health and biological research. According to Google, this new technology has the \u201cpotential for advancing drug design, disease understanding, and more\u201d.<\/em><\/p>\n\n\n\n \u201cToday, we introduce AlphaProteo, our first AI system for designing novel, high-strength protein binders to serve as building blocks for biological and health research\u201d<\/em><\/strong>, the company stated in a blog post<\/a>. <\/p>\n\n\n\n AlphaProteo is claimed to be the first of its kind; an AI system that can generate novel proteins that bind with target molecules. Such binding proteins can help researchers in various fields including drug development, cancer treatment, and cell and tissue imaging. Google also states this technology can aid in understanding and properly diagnosing human diseases. <\/p>\n\n\n\n See Related: <\/em><\/strong>Google Announces DeepMind; Accelerating Its Attempt At Leading The AI Race<\/a><\/p>\n\n\n\n The reveal of AlphaProteo is in keeping with Google\u2019s endeavor to create AI tools to further health-related research. Earlier this year, the company launched AlphaFold 3, an AI model that can predict protein structures. They have also released AlphaMissense which catalogs millions of genetic mutations.<\/p>\n\n\n\n AlphaProteo is trained using data from the Protein Data Bank. It also incorporates \u201cmore than 100 million predicted structures\u201d<\/em> from Google\u2019s other AI systems, including AlphaFold.<\/p>\n\n\n\n AlphaProteo was developed by two research teams under Google: the Protein Design team and the Wet Lab team. Currently, the model is in development. <\/p>\n\n\n\n <\/p>\n","post_title":"Google Unveils AlphaProteo: An AI System Designed For Biology And Health Research","post_excerpt":"","post_status":"publish","comment_status":"closed","ping_status":"closed","post_password":"","post_name":"google-unveils-alphaproteo-an-ai-system-designed-for-biology-and-health-research","to_ping":"","pinged":"","post_modified":"2024-09-14 20:23:21","post_modified_gmt":"2024-09-14 10:23:21","post_content_filtered":"","post_parent":0,"guid":"https:\/\/www.thedistributed.co\/?p=18622","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"};
\u201cWe will begin training for AI at Meta using public content shared by adults on Facebook and Instagram in the UK over the coming months\u201d<\/em><\/strong>, the company has stated<\/a>. <\/p>\n\n\n\n The operation was originally announced in 2023 but soon met significant backlash owing to security and privacy concerns. Various groups such as the Open Rights Group (ORG) and None of Your Business (NOYB) opposed such an initiative<\/a>. It was subsequently halted by the Information Commissioner\u2019s Office (ICO) in the United Kingdom. This plan has also been banned in the EU. <\/p>\n\n\n\n See Related: <\/em><\/strong>Meta Introduces Advanced AI Chatbots To All Its Apps, Revolutionizing User Interactions<\/a><\/p>\n\n\n\n Meta states it has \u201cengaged positively with the Information Commissioner\u2019s Office (ICO) and welcomes the constructive approach that the ICO has taken\u201d.<\/em> Meta added that the guidance provided by the ICO would help form the basis for \u201clegitimate interests\u201d, allowing the company to collect certain first-party data.\u00a0<\/p>\n\n\n\n Meta also clarified what data they will collect from users. The company said, \u201cWe do not use people\u2019s private messages with friends and family to train for AI at Meta, and we do not use information from accounts of people in the UK under the age of 18. We\u2019ll use public information \u2013 such as public posts and comments, or public photos and captions\u201d<\/em><\/strong>.<\/p>\n\n\n\n As part of this program, adult users of FaceBook and Instagram in the UK will receive notifications about the data mining process, including access to an objection form. Meta claims it will not contact any user who submits an objection.<\/p>\n","post_title":"Meta To Implement Controversial Plan To Use Social Media Posts To Train Generative AI","post_excerpt":"","post_status":"publish","comment_status":"closed","ping_status":"closed","post_password":"","post_name":"meta-to-implement-controversial-plan-to-use-social-media-posts-to-train-generative-ai","to_ping":"","pinged":"\nhttps:\/\/about.fb.com\/news\/2024\/09\/building-ai-technology-for-the-uk-in-a-responsible-and-transparent-way\/","post_modified":"2024-09-21 04:12:00","post_modified_gmt":"2024-09-20 18:12:00","post_content_filtered":"","post_parent":0,"guid":"https:\/\/www.thedistributed.co\/?p=18746","menu_order":0,"post_type":"post","post_mime_type":"","comment_count":"0","filter":"raw"},{"ID":18622,"post_author":"17","post_date":"2024-09-14 20:21:09","post_date_gmt":"2024-09-14 10:21:09","post_content":"\n Google recently presented a new AI system called AlphaProteo designed for health and biological research. According to Google, this new technology has the \u201cpotential for advancing drug design, disease understanding, and more\u201d.<\/em><\/p>\n\n\n\n \u201cToday, we introduce AlphaProteo, our first AI system for designing novel, high-strength protein binders to serve as building blocks for biological and health research\u201d<\/em><\/strong>, the company stated in a blog post<\/a>. <\/p>\n\n\n\n AlphaProteo is claimed to be the first of its kind; an AI system that can generate novel proteins that bind with target molecules. Such binding proteins can help researchers in various fields including drug development, cancer treatment, and cell and tissue imaging. Google also states this technology can aid in understanding and properly diagnosing human diseases. <\/p>\n\n\n\n See Related: <\/em><\/strong>Google Announces DeepMind; Accelerating Its Attempt At Leading The AI Race<\/a><\/p>\n\n\n\n The reveal of AlphaProteo is in keeping with Google\u2019s endeavor to create AI tools to further health-related research. Earlier this year, the company launched AlphaFold 3, an AI model that can predict protein structures. They have also released AlphaMissense which catalogs millions of genetic mutations.<\/p>\n\n\n\n AlphaProteo is trained using data from the Protein Data Bank. It also incorporates \u201cmore than 100 million predicted structures\u201d<\/em> from Google\u2019s other AI systems, including AlphaFold.<\/p>\n\n\n\n AlphaProteo was developed by two research teams under Google: the Protein Design team and the Wet Lab team. Currently, the model is in development. <\/p>\n\n\n\n <\/p>\n","post_title":"Google Unveils AlphaProteo: An AI System Designed For Biology And Health Research","post_excerpt":"","post_status":"publish","comment_status":"closed","ping_status":"closed","post_password":"","post_name":"google-unveils-alphaproteo-an-ai-system-designed-for-biology-and-health-research","to_ping":"","pinged":"","post_modified":"2024-09-14 20:23:21","post_modified_gmt":"2024-09-14 10:23:21","post_content_filtered":"","post_parent":0,"guid":"https:\/\/www.thedistributed.co\/?p=18622","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"};
Meta, the company behind Facebook, intends to use social media posts in the UK to train its generative AI models. This will allow Meta\u2019s AI product to \u201creflect British culture, history, and idioms\u201d. The company believes this will facilitate the adoption of generative AI technology by UK businesses and industries. <\/p>\n\n\n\n \u201cWe will begin training for AI at Meta using public content shared by adults on Facebook and Instagram in the UK over the coming months\u201d<\/em><\/strong>, the company has stated<\/a>. <\/p>\n\n\n\n The operation was originally announced in 2023 but soon met significant backlash owing to security and privacy concerns. Various groups such as the Open Rights Group (ORG) and None of Your Business (NOYB) opposed such an initiative<\/a>. It was subsequently halted by the Information Commissioner\u2019s Office (ICO) in the United Kingdom. This plan has also been banned in the EU. <\/p>\n\n\n\n See Related: <\/em><\/strong>Meta Introduces Advanced AI Chatbots To All Its Apps, Revolutionizing User Interactions<\/a><\/p>\n\n\n\n Meta states it has \u201cengaged positively with the Information Commissioner\u2019s Office (ICO) and welcomes the constructive approach that the ICO has taken\u201d.<\/em> Meta added that the guidance provided by the ICO would help form the basis for \u201clegitimate interests\u201d, allowing the company to collect certain first-party data.\u00a0<\/p>\n\n\n\n Meta also clarified what data they will collect from users. The company said, \u201cWe do not use people\u2019s private messages with friends and family to train for AI at Meta, and we do not use information from accounts of people in the UK under the age of 18. We\u2019ll use public information \u2013 such as public posts and comments, or public photos and captions\u201d<\/em><\/strong>.<\/p>\n\n\n\n As part of this program, adult users of FaceBook and Instagram in the UK will receive notifications about the data mining process, including access to an objection form. Meta claims it will not contact any user who submits an objection.<\/p>\n","post_title":"Meta To Implement Controversial Plan To Use Social Media Posts To Train Generative AI","post_excerpt":"","post_status":"publish","comment_status":"closed","ping_status":"closed","post_password":"","post_name":"meta-to-implement-controversial-plan-to-use-social-media-posts-to-train-generative-ai","to_ping":"","pinged":"\nhttps:\/\/about.fb.com\/news\/2024\/09\/building-ai-technology-for-the-uk-in-a-responsible-and-transparent-way\/","post_modified":"2024-09-21 04:12:00","post_modified_gmt":"2024-09-20 18:12:00","post_content_filtered":"","post_parent":0,"guid":"https:\/\/www.thedistributed.co\/?p=18746","menu_order":0,"post_type":"post","post_mime_type":"","comment_count":"0","filter":"raw"},{"ID":18622,"post_author":"17","post_date":"2024-09-14 20:21:09","post_date_gmt":"2024-09-14 10:21:09","post_content":"\n Google recently presented a new AI system called AlphaProteo designed for health and biological research. According to Google, this new technology has the \u201cpotential for advancing drug design, disease understanding, and more\u201d.<\/em><\/p>\n\n\n\n \u201cToday, we introduce AlphaProteo, our first AI system for designing novel, high-strength protein binders to serve as building blocks for biological and health research\u201d<\/em><\/strong>, the company stated in a blog post<\/a>. <\/p>\n\n\n\n AlphaProteo is claimed to be the first of its kind; an AI system that can generate novel proteins that bind with target molecules. Such binding proteins can help researchers in various fields including drug development, cancer treatment, and cell and tissue imaging. Google also states this technology can aid in understanding and properly diagnosing human diseases. <\/p>\n\n\n\n See Related: <\/em><\/strong>Google Announces DeepMind; Accelerating Its Attempt At Leading The AI Race<\/a><\/p>\n\n\n\n The reveal of AlphaProteo is in keeping with Google\u2019s endeavor to create AI tools to further health-related research. Earlier this year, the company launched AlphaFold 3, an AI model that can predict protein structures. They have also released AlphaMissense which catalogs millions of genetic mutations.<\/p>\n\n\n\n AlphaProteo is trained using data from the Protein Data Bank. It also incorporates \u201cmore than 100 million predicted structures\u201d<\/em> from Google\u2019s other AI systems, including AlphaFold.<\/p>\n\n\n\n AlphaProteo was developed by two research teams under Google: the Protein Design team and the Wet Lab team. Currently, the model is in development. <\/p>\n\n\n\n <\/p>\n","post_title":"Google Unveils AlphaProteo: An AI System Designed For Biology And Health Research","post_excerpt":"","post_status":"publish","comment_status":"closed","ping_status":"closed","post_password":"","post_name":"google-unveils-alphaproteo-an-ai-system-designed-for-biology-and-health-research","to_ping":"","pinged":"","post_modified":"2024-09-14 20:23:21","post_modified_gmt":"2024-09-14 10:23:21","post_content_filtered":"","post_parent":0,"guid":"https:\/\/www.thedistributed.co\/?p=18622","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"};
Starling Bank's advice to agree on a safe phrase is a simple yet effective solution for now, but as AI technology continues to develop, there will be a growing need for more sophisticated safeguards. While innovation promises many benefits, it\u2019s clear that the rapid pace of AI development also poses new challenges, making it crucial for both individuals and institutions to stay one step ahead of cybercriminals.<\/p>\n","post_title":"Starling Bank Warns How Voice-Cloning Technology Puts Millions At Risk","post_excerpt":"","post_status":"publish","comment_status":"closed","ping_status":"closed","post_password":"","post_name":"starling-bank-warns-how-voice-cloning-technology-puts-millions-at-risk","to_ping":"","pinged":"","post_modified":"2024-09-25 19:10:49","post_modified_gmt":"2024-09-25 09:10:49","post_content_filtered":"","post_parent":0,"guid":"https:\/\/www.thedistributed.co\/?p=18852","menu_order":0,"post_type":"post","post_mime_type":"","comment_count":"0","filter":"raw"},{"ID":18746,"post_author":"17","post_date":"2024-09-21 04:11:53","post_date_gmt":"2024-09-20 18:11:53","post_content":"\n Meta, the company behind Facebook, intends to use social media posts in the UK to train its generative AI models. This will allow Meta\u2019s AI product to \u201creflect British culture, history, and idioms\u201d. The company believes this will facilitate the adoption of generative AI technology by UK businesses and industries. <\/p>\n\n\n\n \u201cWe will begin training for AI at Meta using public content shared by adults on Facebook and Instagram in the UK over the coming months\u201d<\/em><\/strong>, the company has stated<\/a>. <\/p>\n\n\n\n The operation was originally announced in 2023 but soon met significant backlash owing to security and privacy concerns. Various groups such as the Open Rights Group (ORG) and None of Your Business (NOYB) opposed such an initiative<\/a>. It was subsequently halted by the Information Commissioner\u2019s Office (ICO) in the United Kingdom. This plan has also been banned in the EU. <\/p>\n\n\n\n See Related: <\/em><\/strong>Meta Introduces Advanced AI Chatbots To All Its Apps, Revolutionizing User Interactions<\/a><\/p>\n\n\n\n Meta states it has \u201cengaged positively with the Information Commissioner\u2019s Office (ICO) and welcomes the constructive approach that the ICO has taken\u201d.<\/em> Meta added that the guidance provided by the ICO would help form the basis for \u201clegitimate interests\u201d, allowing the company to collect certain first-party data.\u00a0<\/p>\n\n\n\n Meta also clarified what data they will collect from users. The company said, \u201cWe do not use people\u2019s private messages with friends and family to train for AI at Meta, and we do not use information from accounts of people in the UK under the age of 18. We\u2019ll use public information \u2013 such as public posts and comments, or public photos and captions\u201d<\/em><\/strong>.<\/p>\n\n\n\n As part of this program, adult users of FaceBook and Instagram in the UK will receive notifications about the data mining process, including access to an objection form. Meta claims it will not contact any user who submits an objection.<\/p>\n","post_title":"Meta To Implement Controversial Plan To Use Social Media Posts To Train Generative AI","post_excerpt":"","post_status":"publish","comment_status":"closed","ping_status":"closed","post_password":"","post_name":"meta-to-implement-controversial-plan-to-use-social-media-posts-to-train-generative-ai","to_ping":"","pinged":"\nhttps:\/\/about.fb.com\/news\/2024\/09\/building-ai-technology-for-the-uk-in-a-responsible-and-transparent-way\/","post_modified":"2024-09-21 04:12:00","post_modified_gmt":"2024-09-20 18:12:00","post_content_filtered":"","post_parent":0,"guid":"https:\/\/www.thedistributed.co\/?p=18746","menu_order":0,"post_type":"post","post_mime_type":"","comment_count":"0","filter":"raw"},{"ID":18622,"post_author":"17","post_date":"2024-09-14 20:21:09","post_date_gmt":"2024-09-14 10:21:09","post_content":"\n Google recently presented a new AI system called AlphaProteo designed for health and biological research. According to Google, this new technology has the \u201cpotential for advancing drug design, disease understanding, and more\u201d.<\/em><\/p>\n\n\n\n \u201cToday, we introduce AlphaProteo, our first AI system for designing novel, high-strength protein binders to serve as building blocks for biological and health research\u201d<\/em><\/strong>, the company stated in a blog post<\/a>. <\/p>\n\n\n\n AlphaProteo is claimed to be the first of its kind; an AI system that can generate novel proteins that bind with target molecules. Such binding proteins can help researchers in various fields including drug development, cancer treatment, and cell and tissue imaging. Google also states this technology can aid in understanding and properly diagnosing human diseases. <\/p>\n\n\n\n See Related: <\/em><\/strong>Google Announces DeepMind; Accelerating Its Attempt At Leading The AI Race<\/a><\/p>\n\n\n\n The reveal of AlphaProteo is in keeping with Google\u2019s endeavor to create AI tools to further health-related research. Earlier this year, the company launched AlphaFold 3, an AI model that can predict protein structures. They have also released AlphaMissense which catalogs millions of genetic mutations.<\/p>\n\n\n\n AlphaProteo is trained using data from the Protein Data Bank. It also incorporates \u201cmore than 100 million predicted structures\u201d<\/em> from Google\u2019s other AI systems, including AlphaFold.<\/p>\n\n\n\n AlphaProteo was developed by two research teams under Google: the Protein Design team and the Wet Lab team. Currently, the model is in development. <\/p>\n\n\n\n <\/p>\n","post_title":"Google Unveils AlphaProteo: An AI System Designed For Biology And Health Research","post_excerpt":"","post_status":"publish","comment_status":"closed","ping_status":"closed","post_password":"","post_name":"google-unveils-alphaproteo-an-ai-system-designed-for-biology-and-health-research","to_ping":"","pinged":"","post_modified":"2024-09-14 20:23:21","post_modified_gmt":"2024-09-14 10:23:21","post_content_filtered":"","post_parent":0,"guid":"https:\/\/www.thedistributed.co\/?p=18622","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"};
Looking ahead, the risks associated with AI-driven scams are likely to expand. As technology becomes more advanced and accessible, scammers will find new ways to exploit it. Consumers must remain vigilant, not just in guarding their financial information but in understanding the new vulnerabilities created by digital footprints.<\/p>\n\n\n\n Starling Bank's advice to agree on a safe phrase is a simple yet effective solution for now, but as AI technology continues to develop, there will be a growing need for more sophisticated safeguards. While innovation promises many benefits, it\u2019s clear that the rapid pace of AI development also poses new challenges, making it crucial for both individuals and institutions to stay one step ahead of cybercriminals.<\/p>\n","post_title":"Starling Bank Warns How Voice-Cloning Technology Puts Millions At Risk","post_excerpt":"","post_status":"publish","comment_status":"closed","ping_status":"closed","post_password":"","post_name":"starling-bank-warns-how-voice-cloning-technology-puts-millions-at-risk","to_ping":"","pinged":"","post_modified":"2024-09-25 19:10:49","post_modified_gmt":"2024-09-25 09:10:49","post_content_filtered":"","post_parent":0,"guid":"https:\/\/www.thedistributed.co\/?p=18852","menu_order":0,"post_type":"post","post_mime_type":"","comment_count":"0","filter":"raw"},{"ID":18746,"post_author":"17","post_date":"2024-09-21 04:11:53","post_date_gmt":"2024-09-20 18:11:53","post_content":"\n Meta, the company behind Facebook, intends to use social media posts in the UK to train its generative AI models. This will allow Meta\u2019s AI product to \u201creflect British culture, history, and idioms\u201d. The company believes this will facilitate the adoption of generative AI technology by UK businesses and industries. <\/p>\n\n\n\n \u201cWe will begin training for AI at Meta using public content shared by adults on Facebook and Instagram in the UK over the coming months\u201d<\/em><\/strong>, the company has stated<\/a>. <\/p>\n\n\n\n The operation was originally announced in 2023 but soon met significant backlash owing to security and privacy concerns. Various groups such as the Open Rights Group (ORG) and None of Your Business (NOYB) opposed such an initiative<\/a>. It was subsequently halted by the Information Commissioner\u2019s Office (ICO) in the United Kingdom. This plan has also been banned in the EU. <\/p>\n\n\n\n See Related: <\/em><\/strong>Meta Introduces Advanced AI Chatbots To All Its Apps, Revolutionizing User Interactions<\/a><\/p>\n\n\n\n Meta states it has \u201cengaged positively with the Information Commissioner\u2019s Office (ICO) and welcomes the constructive approach that the ICO has taken\u201d.<\/em> Meta added that the guidance provided by the ICO would help form the basis for \u201clegitimate interests\u201d, allowing the company to collect certain first-party data.\u00a0<\/p>\n\n\n\n Meta also clarified what data they will collect from users. The company said, \u201cWe do not use people\u2019s private messages with friends and family to train for AI at Meta, and we do not use information from accounts of people in the UK under the age of 18. We\u2019ll use public information \u2013 such as public posts and comments, or public photos and captions\u201d<\/em><\/strong>.<\/p>\n\n\n\n As part of this program, adult users of FaceBook and Instagram in the UK will receive notifications about the data mining process, including access to an objection form. Meta claims it will not contact any user who submits an objection.<\/p>\n","post_title":"Meta To Implement Controversial Plan To Use Social Media Posts To Train Generative AI","post_excerpt":"","post_status":"publish","comment_status":"closed","ping_status":"closed","post_password":"","post_name":"meta-to-implement-controversial-plan-to-use-social-media-posts-to-train-generative-ai","to_ping":"","pinged":"\nhttps:\/\/about.fb.com\/news\/2024\/09\/building-ai-technology-for-the-uk-in-a-responsible-and-transparent-way\/","post_modified":"2024-09-21 04:12:00","post_modified_gmt":"2024-09-20 18:12:00","post_content_filtered":"","post_parent":0,"guid":"https:\/\/www.thedistributed.co\/?p=18746","menu_order":0,"post_type":"post","post_mime_type":"","comment_count":"0","filter":"raw"},{"ID":18622,"post_author":"17","post_date":"2024-09-14 20:21:09","post_date_gmt":"2024-09-14 10:21:09","post_content":"\n Google recently presented a new AI system called AlphaProteo designed for health and biological research. According to Google, this new technology has the \u201cpotential for advancing drug design, disease understanding, and more\u201d.<\/em><\/p>\n\n\n\n \u201cToday, we introduce AlphaProteo, our first AI system for designing novel, high-strength protein binders to serve as building blocks for biological and health research\u201d<\/em><\/strong>, the company stated in a blog post<\/a>. <\/p>\n\n\n\n AlphaProteo is claimed to be the first of its kind; an AI system that can generate novel proteins that bind with target molecules. Such binding proteins can help researchers in various fields including drug development, cancer treatment, and cell and tissue imaging. Google also states this technology can aid in understanding and properly diagnosing human diseases. <\/p>\n\n\n\nICO Guidelines And First-party Data<\/h2>\n\n\n\n
ICO Guidelines And First-party Data<\/h2>\n\n\n\n
ICO Guidelines And First-party Data<\/h2>\n\n\n\n
ICO Guidelines And First-party Data<\/h2>\n\n\n\n
ICO Guidelines And First-party Data<\/h2>\n\n\n\n
ICO Guidelines And First-party Data<\/h2>\n\n\n\n
ICO Guidelines And First-party Data<\/h2>\n\n\n\n