Experimental News Clipping Site

Tag: llm

  • Cloud Blog: How to calculate your AI costs on Google Cloud

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    Kurt Seifried
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    Source URL: https://cloud.google.com/blog/topics/cost-management/unlock-the-true-cost-of-enterprise-ai-on-google-cloud/ Source: Cloud Blog Title: How to calculate your AI costs on Google Cloud Feedly Summary: What is the true cost of enterprise AI? As a technology leader and a steward of company resources, understanding these costs isn’t just prudent – it’s essential for sustainable AI adoption. To help, we’ll unveil a comprehensive…

  • Cloud Blog: Use Gemini 2.0 to speed up document extraction and lower costs

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    Kurt Seifried
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    Source URL: https://cloud.google.com/blog/products/ai-machine-learning/use-gemini-2-0-to-speed-up-data-processing/ Source: Cloud Blog Title: Use Gemini 2.0 to speed up document extraction and lower costs Feedly Summary: A few weeks ago, Google DeepMind released Gemini 2.0 for everyone, including Gemini 2.0 Flash, Gemini 2.0 Flash-Lite, and Gemini 2.0 Pro (Experimental). All models support up to at least 1 million input tokens, which…

  • Hacker News: MIT 6.S184: Introduction to Flow Matching and Diffusion Models

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    Kurt Seifried
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    Source URL: https://diffusion.csail.mit.edu Source: Hacker News Title: MIT 6.S184: Introduction to Flow Matching and Diffusion Models Feedly Summary: Comments AI Summary and Description: Yes Summary: The provided text presents an educational overview of the MIT course “Generative AI with Stochastic Differential Equations,” focusing on diffusion and flow-based models used in generative AI. The course teaches…

  • Hacker News: Prompting Large Language Models in Bash Scripts

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    Kurt Seifried
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    Source URL: https://elijahpotter.dev/articles/prompting_large_language_models_in_bash_scripts Source: Hacker News Title: Prompting Large Language Models in Bash Scripts Feedly Summary: Comments AI Summary and Description: Yes Summary: The text discusses the use of large language models (LLMs) in bash scripts, specifically highlighting a tool called “ofc” that facilitates this integration. It explores innovative uses for LLMs in generating datasets…

  • Hacker News: Hallucinations in code are the least dangerous form of LLM mistakes

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    Kurt Seifried
    in

    Source URL: https://simonwillison.net/2025/Mar/2/hallucinations-in-code/ Source: Hacker News Title: Hallucinations in code are the least dangerous form of LLM mistakes Feedly Summary: Comments AI Summary and Description: Yes Summary: The text discusses the phenomenon of “hallucinations” in code generated by large language models (LLMs), highlighting that while such hallucinations can initially undermine developers’ confidence, they are relatively…

  • Simon Willison’s Weblog: Quoting Ethan Mollick

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    Kurt Seifried
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    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. —…

  • Hacker News: Your Invoice Is an Actor That Wants to Get Paid

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    Kurt Seifried
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    Source URL: https://10xbetterai.beehiiv.com/p/your-invoice-is-an-actor-that-wants-to-get-paid Source: Hacker News Title: Your Invoice Is an Actor That Wants to Get Paid Feedly Summary: Comments AI Summary and Description: Yes **Summary:** The text discusses the evolution of business processes from manual, passive data handling to a future where data objects, termed Agentic Business Objects (ABOs), become self-aware and capable of…

  • Simon Willison’s Weblog: Notes from my Accessibility and Gen AI podcast appearence

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    Kurt Seifried
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    Source URL: https://simonwillison.net/2025/Mar/2/accessibility-and-gen-ai/#atom-everything Source: Simon Willison’s Weblog Title: Notes from my Accessibility and Gen AI podcast appearence Feedly Summary: I was a guest on the most recent episode of the Accessibility + Gen AI Podcast, hosted by Eamon McErlean and Joe Devon. We had a really fun, wide-ranging conversation about a host of different topics.…

  • Simon Willison’s Weblog: Quoting Kellan Elliott-McCrea

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    Kurt Seifried
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    Source URL: https://simonwillison.net/2025/Mar/2/kellan-elliott-mccrea/#atom-everything Source: Simon Willison’s Weblog Title: Quoting Kellan Elliott-McCrea Feedly Summary: Regarding the recent blog post, I think a simpler explanation is that hallucinating a non-existent library is a such an inhuman error it throws people. A human making such an error would be almost unforgivably careless. — Kellan Elliott-McCrea Tags: ai-assisted-programming, generative-ai,…

  • Simon Willison’s Weblog: Hallucinations in code are the least dangerous form of LLM mistakes

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    by

    Kurt Seifried
    in

    Source URL: https://simonwillison.net/2025/Mar/2/hallucinations-in-code/#atom-everything Source: Simon Willison’s Weblog Title: Hallucinations in code are the least dangerous form of LLM mistakes Feedly Summary: A surprisingly common complaint I see from developers who have tried using LLMs for code is that they encountered a hallucination – usually the LLM inventing a method or even a full software library…