Tag: output

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

    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…

  • Slashdot: Vibe Coding Has Turned Senior Devs Into ‘AI Babysitters’

    Source URL: https://developers.slashdot.org/story/25/09/15/2056250/vibe-coding-has-turned-senior-devs-into-ai-babysitters?utm_source=rss1.0mainlinkanon&utm_medium=feed Source: Slashdot Title: Vibe Coding Has Turned Senior Devs Into ‘AI Babysitters’ Feedly Summary: AI Summary and Description: Yes Summary: The text discusses the challenges faced by web developers using AI-generated code, highlighting the risks of dependency on AI tools for coding. It emphasizes the need for thorough verification of AI-generated outputs,…

  • Tomasz Tunguz: How AI Tools Differ from Human Tools

    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: gpt-5 and gpt-5-mini rate limit updates

    Source URL: https://simonwillison.net/2025/Sep/12/gpt-5-rate-limits/#atom-everything Source: Simon Willison’s Weblog Title: gpt-5 and gpt-5-mini rate limit updates Feedly Summary: gpt-5 and gpt-5-mini rate limit updates OpenAI have increased the rate limits for their two main GPT-5 models. These look significant: gpt-5 Tier 1: 30K → 500K TPM (1.5M batch) Tier 2: 450K → 1M (3M batch) Tier 3:…

  • Simon Willison’s Weblog: Defeating Nondeterminism in LLM Inference

    Source URL: https://simonwillison.net/2025/Sep/11/defeating-nondeterminism/#atom-everything Source: Simon Willison’s Weblog Title: Defeating Nondeterminism in LLM Inference Feedly Summary: Defeating Nondeterminism in LLM Inference A very common question I see about LLMs concerns why they can’t be made to deliver the same response to the same prompt by setting a fixed random number seed. Like many others I had…

  • Simon Willison’s Weblog: Claude API: Web fetch tool

    Source URL: https://simonwillison.net/2025/Sep/10/claude-web-fetch-tool/#atom-everything Source: Simon Willison’s Weblog Title: Claude API: Web fetch tool Feedly Summary: Claude API: Web fetch tool New in the Claude API: if you pass the web-fetch-2025-09-10 beta header you can add {“type": "web_fetch_20250910", "name": "web_fetch", "max_uses": 5} to your "tools" list and Claude will gain the ability to fetch content from…