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Tag: large language models

  • Tomasz Tunguz: EvoBlog: Building an Evolutionary AI Content Generation System

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    Kurt Seifried
    in

    Source URL: https://www.tomtunguz.com/evoblog-evolutionary-ai-content-generation/ Source: Tomasz Tunguz Title: EvoBlog: Building an Evolutionary AI Content Generation System Feedly Summary: One of the hardest method models to break is how disposable AI generated content is. When asking me to generate one blog post, why not just ask it to generate three, pick the best, use that as a…

  • Slashdot: Sloppy AI Defenses Take Cybersecurity Back To the 1990s, Researchers Say

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    Kurt Seifried
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    Source URL: https://it.slashdot.org/story/25/08/12/2037200/sloppy-ai-defenses-take-cybersecurity-back-to-the-1990s-researchers-say Source: Slashdot Title: Sloppy AI Defenses Take Cybersecurity Back To the 1990s, Researchers Say Feedly Summary: AI Summary and Description: Yes Summary: The text discusses the significant security risks associated with artificial intelligence, particularly at the Black Hat USA 2025 conference. As AI technologies such as large language models become prevalent, they…

  • Simon Willison’s Weblog: Claude Sonnet 4 now supports 1M tokens of context

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    Kurt Seifried
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    Source URL: https://simonwillison.net/2025/Aug/12/claude-sonnet-4-1m/ Source: Simon Willison’s Weblog Title: Claude Sonnet 4 now supports 1M tokens of context Feedly Summary: Claude Sonnet 4 now supports 1M tokens of context Gemini and OpenAI both have million token models, so it’s good to see Anthropic catching up. This is 5x the previous 200,000 context length limit of the…

  • Slashdot: LLMs’ ‘Simulated Reasoning’ Abilities Are a ‘Brittle Mirage,’ Researchers Find

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    Kurt Seifried
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    Source URL: https://slashdot.org/story/25/08/11/2253229/llms-simulated-reasoning-abilities-are-a-brittle-mirage-researchers-find?utm_source=rss1.0mainlinkanon&utm_medium=feed Source: Slashdot Title: LLMs’ ‘Simulated Reasoning’ Abilities Are a ‘Brittle Mirage,’ Researchers Find Feedly Summary: AI Summary and Description: Yes Summary: Recent investigations into chain-of-thought reasoning models in AI reveal limitations in their logical reasoning capabilities, suggesting they operate more as pattern-matchers than true reasoners. The findings raise crucial concerns for industries…

  • Simon Willison’s Weblog: LLM 0.27, the annotated release notes: GPT-5 and improved tool calling

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    Kurt Seifried
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    Source URL: https://simonwillison.net/2025/Aug/11/llm-027/ Source: Simon Willison’s Weblog Title: LLM 0.27, the annotated release notes: GPT-5 and improved tool calling Feedly Summary: I shipped LLM 0.27 today, adding support for the new GPT-5 family of models from OpenAI plus a flurry of improvements to the tool calling features introduced in LLM 0.26. Here are the annotated…

  • Simon Willison’s Weblog: AI for data engineers with Simon Willison

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    Kurt Seifried
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    Source URL: https://simonwillison.net/2025/Aug/11/ai-for-data-engineers/#atom-everything Source: Simon Willison’s Weblog Title: AI for data engineers with Simon Willison Feedly Summary: AI for data engineers with Simon Willison I recorded an episode last week with Claire Giordano for the Talking Postgres podcast. The topic was “AI for data engineers" but we ended up covering an enjoyable range of different…