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Tag: llm

  • Simon Willison’s Weblog: ICPC medals for OpenAI and Gemini

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    Kurt Seifried
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    Source URL: https://simonwillison.net/2025/Sep/17/icpc/#atom-everything Source: Simon Willison’s Weblog Title: ICPC medals for OpenAI and Gemini Feedly Summary: In July it was the International Math Olympiad (OpenAI, Gemini), today it’s the International Collegiate Programming Contest (ICPC). Once again, both OpenAI and Gemini competed with models that achieved Gold medal performance. OpenAI’s Mostafa Rohaninejad: We received the problems…

  • Scott Logic: Greener AI – what matters, what helps, and what we still do not know

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    Kurt Seifried
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    Source URL: https://blog.scottlogic.com/2025/09/16/greener-ai-lit-review.html Source: Scott Logic Title: Greener AI – what matters, what helps, and what we still do not know Feedly Summary: We recently undertook a literature review about the environmental impact of AI, across carbon, energy, and water. It offers practical strategies for teams to reduce impact today, while highlighting the gaps in…

  • The Register: Self-propagating worm fuels latest npm supply chain compromise

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    Kurt Seifried
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    Source URL: https://www.theregister.com/2025/09/16/npm_under_attack_again/ Source: The Register Title: Self-propagating worm fuels latest npm supply chain compromise Feedly Summary: Intrusions bear the same hallmarks as recent Nx mess The npm platform is the target of another supply chain attack, with crims already compromising 187 packages and counting.… AI Summary and Description: Yes Summary: The text discusses a…

  • Slashdot: OpenAI’s First Study On ChatGPT Usage

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    Kurt Seifried
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    Source URL: https://slashdot.org/story/25/09/15/2151235/openais-first-study-on-chatgpt-usage?utm_source=rss1.0mainlinkanon&utm_medium=feed Source: Slashdot Title: OpenAI’s First Study On ChatGPT Usage Feedly Summary: AI Summary and Description: Yes Summary: The text provides insights from a groundbreaking National Bureau of Economic Research working paper that analyzes usage data for ChatGPT, revealing significant demographic trends and behavioral patterns among users. This data is particularly relevant for…

  • Slashdot: Google Releases VaultGemma, Its First Privacy-Preserving LLM

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    Kurt Seifried
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    Source URL: https://yro.slashdot.org/story/25/09/16/000202/google-releases-vaultgemma-its-first-privacy-preserving-llm?utm_source=rss1.0mainlinkanon&utm_medium=feed Source: Slashdot Title: Google Releases VaultGemma, Its First Privacy-Preserving LLM Feedly Summary: AI Summary and Description: Yes Summary: The text discusses recent advancements in LLMs, particularly surrounding the integration of differential privacy to mitigate the risk of memorization of sensitive training data. It highlights the balance between privacy and model performance, introducing…

  • Simon Willison’s Weblog: GPT‑5-Codex and upgrades to Codex

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    Kurt Seifried
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    Source URL: https://simonwillison.net/2025/Sep/15/gpt-5-codex/#atom-everything Source: Simon Willison’s Weblog Title: GPT‑5-Codex and upgrades to Codex Feedly Summary: GPT‑5-Codex and upgrades to Codex OpenAI half-released a new model today: GPT‑5-Codex, a fine-tuned GPT-5 variant explicitly designed for their various AI-assisted programming tools. I say half-released because it’s not yet available via their API, but they “plan to make…

  • Tomasz Tunguz: How AI Tools Differ from Human Tools

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    Kurt Seifried
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    Source URL: https://www.tomtunguz.com/tools-evolution/ Source: Tomasz Tunguz Title: How AI Tools Differ from Human Tools Feedly Summary: Now that we’ve compressed nearly all human knowledge into large language models, the next frontier is tool calling. Chaining together different AI tools enables automation. The shift from thinking to doing represents the real breakthrough in AI utility. I’ve…

  • Simon Willison’s Weblog: Models can prompt now

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    Kurt Seifried
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    Source URL: https://simonwillison.net/2025/Sep/14/models-can-prompt/#atom-everything Source: Simon Willison’s Weblog Title: Models can prompt now Feedly Summary: Here’s an interesting example of models incrementally improving over time: I am finding that today’s leading models are competent at writing prompts for themselves and each other. A year ago I was quite skeptical of the pattern where models are used…