Tag: model
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Hacker News: Show HN: Llama 3.3 70B Sparse Autoencoders with API access
Source URL: https://www.goodfire.ai/papers/mapping-latent-spaces-llama/ Source: Hacker News Title: Show HN: Llama 3.3 70B Sparse Autoencoders with API access Feedly Summary: Comments AI Summary and Description: Yes **Summary:** The text discusses innovative advancements made with the Llama 3.3 70B model, particularly the development and release of sparse autoencoders (SAEs) for interpretability and feature steering. These tools enhance…
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Hacker News: Co-Adapting Human Interfaces and LMs
Source URL: https://jessylin.com/2024/11/12/co-adapting-human-interfaces/ Source: Hacker News Title: Co-Adapting Human Interfaces and LMs Feedly Summary: Comments AI Summary and Description: Yes **Summary:** The text discusses the adaptive relationship between language models (LMs) and the digital environments they interact with, highlighting a shift in how systems are designed to cater to LMs as users. It emphasizes both…
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Irrational Exuberance: Wardley mapping of Gitlab Strategy.
Source URL: https://lethain.com/wardley-gitlab-strategy/ Source: Irrational Exuberance Title: Wardley mapping of Gitlab Strategy. Feedly Summary: Gitlab is an integrated developer productivity, infrastructure operations, and security platform. This Wardley map explores the evolution of Gitlab’s users’ needs, as one component in understanding the company’s strategy. In particular, we look at how Gitlab’s strategy of a bundled, all-in-one…
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Simon Willison’s Weblog: Quoting Jack Clark
Source URL: https://simonwillison.net/2024/Dec/23/jack-clark/#atom-everything Source: Simon Willison’s Weblog Title: Quoting Jack Clark Feedly Summary: There’s been a lot of strange reporting recently about how ‘scaling is hitting a wall’ – in a very narrow sense this is true in that larger models were getting less score improvement on challenging benchmarks than their predecessors, but in a…
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New York Times – Artificial Intelligence : How Hallucinatory A.I. Helps Science Dream Up Big Breakthroughs
Source URL: https://www.nytimes.com/2024/12/23/science/ai-hallucinations-science.html Source: New York Times – Artificial Intelligence Title: How Hallucinatory A.I. Helps Science Dream Up Big Breakthroughs Feedly Summary: Hallucinations, a bane of popular A.I. programs, turn out to be a boon for venturesome scientists eager to push back the frontiers of human knowledge. AI Summary and Description: Yes Summary: The text…
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Hacker News: Can AI do maths yet? Thoughts from a mathematician
Source URL: https://xenaproject.wordpress.com/2024/12/22/can-ai-do-maths-yet-thoughts-from-a-mathematician/ Source: Hacker News Title: Can AI do maths yet? Thoughts from a mathematician Feedly Summary: Comments AI Summary and Description: Yes **Short Summary with Insight:** The text discusses the recent performance of OpenAI’s new language model, o3, on a challenging mathematics dataset called FrontierMath. It highlights the ongoing progression of AI in…
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AlgorithmWatch: A Year of Challenging Choices – 2024 in review
Source URL: https://algorithmwatch.org/en/a-year-of-challenging-choices-2024-in-review/ Source: AlgorithmWatch Title: A Year of Challenging Choices – 2024 in review Feedly Summary: 2024 was a “super election" year and it marked the rise of generative Artificial Intelligence. With the adoption of the AI Act, it seemed poised to be the moment we finally gained control over automated systems. Yet, that…
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Hacker News: Offline Reinforcement Learning for LLM Multi-Step Reasoning
Source URL: https://arxiv.org/abs/2412.16145 Source: Hacker News Title: Offline Reinforcement Learning for LLM Multi-Step Reasoning Feedly Summary: Comments AI Summary and Description: Yes Summary: The text discusses the development of a novel offline reinforcement learning method, OREO, aimed at improving the multi-step reasoning abilities of large language models (LLMs). This has significant implications in AI security…