Experimental News Clipping Site

Tag: ai model

  • Hacker News: Doing data labelling in-house

    —

    by

    Kurt Seifried
    in

    Source URL: https://www.ericbutton.co/p/data-labelling Source: Hacker News Title: Doing data labelling in-house Feedly Summary: Comments AI Summary and Description: Yes Summary: The text discusses the development of Yeager, a state-of-the-art AI model for air traffic control audio, and the significant effort put into in-house data labeling. It emphasizes the unique challenges of working with highly specialized…

  • Hacker News: Prompting Large Language Models in Bash Scripts

    —

    by

    Kurt Seifried
    in

    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: Mozilla is trying to backtrack on Firefox’s controversial data privacy update

    —

    by

    Kurt Seifried
    in

    Source URL: https://www.pcgamer.com/gaming-industry/mozilla-is-already-trying-to-backtrack-on-firefoxs-controversial-data-privacy-update-but-it-might-be-too-little-too-late/ Source: Hacker News Title: Mozilla is trying to backtrack on Firefox’s controversial data privacy update Feedly Summary: Comments AI Summary and Description: Yes Summary: The text discusses the controversy surrounding Mozilla’s recent update to the Terms of Use for Firefox, which has sparked outrage among users due to concerns over data privacy.…

  • Simon Willison’s Weblog: Quoting Ethan Mollick

    —

    by

    Kurt Seifried
    in

    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: GPT-4.5: "Not a frontier model"?

    —

    by

    Kurt Seifried
    in

    Source URL: https://www.interconnects.ai/p/gpt-45-not-a-frontier-model Source: Hacker News Title: GPT-4.5: "Not a frontier model"? Feedly Summary: Comments AI Summary and Description: Yes Summary: The text highlights the release of OpenAI’s GPT-4.5 and analyzes its capabilities, implications, and performance compared to previous models. It discusses the model’s scale, pricing, and the evolving landscape of AI scaling, presenting insights…

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

    —

    by

    Kurt Seifried
    in

    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,…

  • Hacker News: Google’s Sergey Brin: Engineers Should Work 60-Hour Weeks in Office to Build AI

    —

    by

    Kurt Seifried
    in

    Source URL: https://gizmodo.com/googles-sergey-brin-says-engineers-should-work-60-hour-weeks-in-office-to-build-ai-that-could-replace-them-2000570025 Source: Hacker News Title: Google’s Sergey Brin: Engineers Should Work 60-Hour Weeks in Office to Build AI Feedly Summary: Comments AI Summary and Description: Yes Summary: Sergey Brin’s recent directive to Google engineers to return to the office five days a week underscores the urgency to enhance AI models in a competitive…

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

    —

    by

    Kurt Seifried
    in

    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…

  • Cloud Blog: Evaluate gen AI models with Vertex AI evaluation service and LLM comparator

    —

    by

    Kurt Seifried
    in

    Source URL: https://cloud.google.com/blog/products/ai-machine-learning/evaluate-ai-models-with-vertex-ai–llm-comparator/ Source: Cloud Blog Title: Evaluate gen AI models with Vertex AI evaluation service and LLM comparator Feedly Summary: It’s a persistent question: How do you know which generative AI model is the best choice for your needs? It all comes down to smart evaluation. In this post, we’ll share how to perform…

  • The Register: Microsoft warns Trump: Where the US won’t sell AI tech, China will

    —

    by

    Kurt Seifried
    in

    Source URL: https://www.theregister.com/2025/02/28/microsoft_trump_ai_exports/ Source: The Register Title: Microsoft warns Trump: Where the US won’t sell AI tech, China will Feedly Summary: Rule hamstringing our datacenters is ‘gift’ to Middle Kingdom, vice chair argues Microsoft would like the Trump administration to row back AI export restrictions introduced by his predecessor that affect countries where the cloud…