Tag: model training

  • Simon Willison’s Weblog: Quoting Ethan Mollick

    Source URL: https://simonwillison.net/2025/Mar/2/ethan-mollick/ Source: Simon Willison’s Weblog Title: Quoting Ethan Mollick Feedly Summary: After publishing this piece, I was contacted by Anthropic who told me that Sonnet 3.7 would not be considered a 10^26 FLOP model and cost a few tens of millions of dollars to train, though future models will be much bigger. —…

  • Enterprise AI Trends: Finetuning LLMs for Enterprises: Interview with Travis Addair, CTO of Predibase

    Source URL: https://nextword.substack.com/p/finetuning-llms-for-enterprises-interview Source: Enterprise AI Trends Title: Finetuning LLMs for Enterprises: Interview with Travis Addair, CTO of Predibase Feedly Summary: Plus, how RFT (reinforcement finetuning) will really change the game for finetuning AI models AI Summary and Description: Yes Summary: The provided text details an in-depth discussion about advancements in fine-tuning large language models…

  • OpenAI : Introducing GPT-4.5

    Source URL: https://openai.com/index/introducing-gpt-4-5 Source: OpenAI Title: Introducing GPT-4.5 Feedly Summary: We’re releasing a research preview of GPT‑4.5—our largest and best model for chat yet. GPT‑4.5 is a step forward in scaling up pretraining and post-training. AI Summary and Description: Yes Summary: The text announces the release of a research preview for GPT-4.5, highlighting advancements in…

  • Schneier on Security: “Emergent Misalignment” in LLMs

    Source URL: https://www.schneier.com/blog/archives/2025/02/emergent-misalignment-in-llms.html Source: Schneier on Security Title: “Emergent Misalignment” in LLMs Feedly Summary: Interesting research: “Emergent Misalignment: Narrow finetuning can produce broadly misaligned LLMs“: Abstract: We present a surprising result regarding LLMs and alignment. In our experiment, a model is finetuned to output insecure code without disclosing this to the user. The resulting model…

  • CSA: How is AI Strengthening Zero Trust?

    Source URL: https://cloudsecurityalliance.org/blog/2025/02/27/how-is-ai-strengthening-zero-trust Source: CSA Title: How is AI Strengthening Zero Trust? Feedly Summary: AI Summary and Description: Yes **Summary:** The text discusses the integration of AI within Zero Trust security frameworks, emphasizing the importance of automated responses, adaptive access controls, and anomaly detection to combat evolving cyber threats effectively. This synergy between AI and…

  • Hacker News: The journalists training AI models for Meta and OpenAI

    Source URL: https://www.niemanlab.org/2025/02/meet-the-journalists-training-ai-models-for-meta-and-openai/ Source: Hacker News Title: The journalists training AI models for Meta and OpenAI Feedly Summary: Comments AI Summary and Description: Yes **Short Summary with Insight:** The text discusses the increasing trend of journalists transitioning to data-related roles, particularly in AI model training, due to economic pressures in traditional journalism. It highlights how…

  • Simon Willison’s Weblog: Quoting Emergent Misalignment: Narrow finetuning can produce broadly misaligned LLMs

    Source URL: https://simonwillison.net/2025/Feb/25/emergent-misalignment/ Source: Simon Willison’s Weblog Title: Quoting Emergent Misalignment: Narrow finetuning can produce broadly misaligned LLMs Feedly Summary: In our experiment, a model is finetuned to output insecure code without disclosing this to the user. The resulting model acts misaligned on a broad range of prompts that are unrelated to coding: it asserts…

  • Hacker News: AI CUDA Engineer: Agentic CUDA Kernel Discovery, Optimization and Composition

    Source URL: https://sakana.ai/ai-cuda-engineer/ Source: Hacker News Title: AI CUDA Engineer: Agentic CUDA Kernel Discovery, Optimization and Composition Feedly Summary: Comments AI Summary and Description: Yes **Summary:** The text discusses significant advancements made by Sakana AI in automating the creation and optimization of AI models, particularly through the development of The AI CUDA Engineer, which leverages…

  • Hacker News: Meta claims torrenting pirated books isn’t illegal without proof of seeding

    Source URL: https://arstechnica.com/tech-policy/2025/02/meta-defends-its-vast-book-torrenting-were-just-a-leech-no-proof-of-seeding/ Source: Hacker News Title: Meta claims torrenting pirated books isn’t illegal without proof of seeding Feedly Summary: Comments AI Summary and Description: Yes Summary: The text discusses Meta’s legal defense in response to allegations related to the illegal torrenting of copyrighted books for AI model training. It underscores the mounting tensions surrounding…