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Tag: models

  • METR Blog – METR: Details about METR’s preliminary evaluation of GPT-4o

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    Source URL: https://metr.github.io/autonomy-evals-guide/gpt-4o-report/ Source: METR Blog – METR Title: Details about METR’s preliminary evaluation of GPT-4o Feedly Summary: AI Summary and Description: Yes **Summary:** The text covers METR’s preliminary evaluation of the GPT-4o model, detailing its performance on 77 tasks related to autonomous capabilities. It discusses the capabilities of the model in comparison to human…

  • METR Blog – METR: An update on our general capability evaluations

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    Source URL: https://metr.org/blog/2024-08-06-update-on-evaluations/ Source: METR Blog – METR Title: An update on our general capability evaluations Feedly Summary: AI Summary and Description: Yes **Summary:** The provided text discusses the development of evaluation metrics for AI capabilities, particularly focusing on autonomous systems. It aims to create measures that can assess general autonomy rather than solely relying…

  • METR Blog – METR: METR – Comment on NIST AI 800-1 (Managing Misuse Risk for Dual-Use Foundation Models)

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    Source URL: https://downloads.regulations.gov/NIST-2024-0002-0022/attachment_1.pdf Source: METR Blog – METR Title: METR – Comment on NIST AI 800-1 (Managing Misuse Risk for Dual-Use Foundation Models) Feedly Summary: AI Summary and Description: Yes Summary: The text provides insights into the National Institute of Standards and Technology’s (NIST) document on managing misuse risk for dual-use AI foundation models. It…

  • METR Blog – METR: Common Elements of Frontier AI Safety Policies

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    Source URL: https://metr.org/blog/2024-08-29-common-elements-of-frontier-ai-safety-policies/ Source: METR Blog – METR Title: Common Elements of Frontier AI Safety Policies Feedly Summary: AI Summary and Description: Yes Summary: The text discusses the Frontier AI Safety Commitments made by sixteen developers of large foundation models at the AI Seoul Summit, which focus on risk evaluation and mitigation strategies to ensure…

  • METR Blog – METR: Details about METR’s preliminary evaluation of OpenAI o1-preview

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    Source URL: https://metr.github.io/autonomy-evals-guide/openai-o1-preview-report/ Source: METR Blog – METR Title: Details about METR’s preliminary evaluation of OpenAI o1-preview Feedly Summary: AI Summary and Description: Yes **Summary:** The text provides a detailed evaluation of OpenAI’s models, o1-mini and o1-preview, focusing on their autonomous capabilities and performance on AI-related research and development tasks. The results suggest notable potential,…

  • METR Blog – METR: New Support Through The Audacious Project

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    Source URL: https://metr.org/blog/2024-10-09-new-support-through-the-audacious-project/ Source: METR Blog – METR Title: New Support Through The Audacious Project Feedly Summary: AI Summary and Description: Yes Summary: The text discusses the Audacious Project’s funding initiative aimed at addressing global challenges through innovative solutions, particularly highlighting Project Canary’s focus on evaluating AI systems to ensure their safety and security. It…

  • Simon Willison’s Weblog: Quoting Deirdre Bosa

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    Source URL: https://simonwillison.net/2024/Oct/23/cnbc/#atom-everything Source: Simon Willison’s Weblog Title: Quoting Deirdre Bosa Feedly Summary: According to a document that I viewed, Anthropic is telling investors that it is expecting a billion dollars in revenue this year. Third-party API is expected to make up the majority of sales, 60% to 75% of the total. That refers to…

  • Simon Willison’s Weblog: Quoting Mike Isaac and Erin Griffith

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    Source URL: https://simonwillison.net/2024/Oct/23/mike-isaac-and-erin-griffith/#atom-everything Source: Simon Willison’s Weblog Title: Quoting Mike Isaac and Erin Griffith Feedly Summary: OpenAI’s monthly revenue hit $300 million in August, up 1,700 percent since the beginning of 2023, and the company expects about $3.7 billion in annual sales this year, according to financial documents reviewed by The New York Times. […]…

  • The Register: Sorry, but the ROI on enterprise AI is abysmal

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    Source URL: https://www.theregister.com/2024/10/22/genai_roi_appen/ Source: The Register Title: Sorry, but the ROI on enterprise AI is abysmal Feedly Summary: Appen points to, among other problems, a lack of high-quality training data labeled by humans The deployment of AI projects and associated return on investment (ROI) have declined, according to a large survey of IT decision-makers.… AI…

  • Hacker News: IBM’s new SWE agents for developers

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    Source URL: https://research.ibm.com/blog/ibm-swe-agents Source: Hacker News Title: IBM’s new SWE agents for developers Feedly Summary: Comments AI Summary and Description: Yes Summary: IBM has introduced a novel set of AI agents called SWE Agents designed to streamline the bug-fixing process for software developers using GitHub. These agents leverage open LLMs to automate the localization of…