Tag: language models

  • Slashdot: Google Debuts an Updated Gemini 2.5 Pro AI Model Ahead of I/O

    Source URL: https://tech.slashdot.org/story/25/05/06/2036211/google-debuts-an-updated-gemini-25-pro-ai-model-ahead-of-io?utm_source=rss1.0mainlinkanon&utm_medium=feed Source: Slashdot Title: Google Debuts an Updated Gemini 2.5 Pro AI Model Ahead of I/O Feedly Summary: AI Summary and Description: Yes Summary: Google has launched the Gemini 2.5 Pro Preview model ahead of its annual I/O developer conference, highlighting its enhanced capabilities in coding and web app development. This advancement positions…

  • Simon Willison’s Weblog: Saying "hi" to Microsoft’s Phi-4-reasoning

    Source URL: https://simonwillison.net/2025/May/6/phi-4-reasoning/#atom-everything Source: Simon Willison’s Weblog Title: Saying "hi" to Microsoft’s Phi-4-reasoning Feedly Summary: Microsoft released a new sub-family of models a few days ago: Phi-4 reasoning. They introduced them in this blog post celebrating a year since the release of Phi-3: Today, we are excited to introduce Phi-4-reasoning, Phi-4-reasoning-plus, and Phi-4-mini-reasoning – marking…

  • Simon Willison’s Weblog: Quoting Max Woolf

    Source URL: https://simonwillison.net/2025/May/5/max-woolf/#atom-everything Source: Simon Willison’s Weblog Title: Quoting Max Woolf Feedly Summary: Two things can be true simultaneously: (a) LLM provider cost economics are too negative to return positive ROI to investors, and (b) LLMs are useful for solving problems that are meaningful and high impact, albeit not to the AGI hype that would…

  • Simon Willison’s Weblog: Feed a video to a vision LLM as a sequence of JPEG frames on the CLI (also LLM 0.25)

    Source URL: https://simonwillison.net/2025/May/5/llm-video-frames/#atom-everything Source: Simon Willison’s Weblog Title: Feed a video to a vision LLM as a sequence of JPEG frames on the CLI (also LLM 0.25) Feedly Summary: The new llm-video-frames plugin can turn a video file into a sequence of JPEG frames and feed them directly into a long context vision LLM such…

  • Simon Willison’s Weblog: Dummy’s Guide to Modern LLM Sampling

    Source URL: https://simonwillison.net/2025/May/4/llm-sampling/#atom-everything Source: Simon Willison’s Weblog Title: Dummy’s Guide to Modern LLM Sampling Feedly Summary: Dummy’s Guide to Modern LLM Sampling This is an extremely useful, detailed set of explanations by @AlpinDale covering the various different sampling strategies used by modern LLMs. LLMs return a set of next-token probabilities for every token in their…

  • Krebs on Security: xAI Dev Leaks API Key for Private SpaceX, Tesla LLMs

    Source URL: https://krebsonsecurity.com/2025/05/xai-dev-leaks-api-key-for-private-spacex-tesla-llms/ Source: Krebs on Security Title: xAI Dev Leaks API Key for Private SpaceX, Tesla LLMs Feedly Summary: A employee at Elon Musk’s artificial intelligence company xAI leaked a private key on GitHub that for the past two months could have allowed anyone to query private xAI large language models (LLMs) which appear to…

  • Wired: These Startups Are Building Advanced AI Models Without Data Centers

    Source URL: https://www.wired.com/story/these-startups-are-building-advanced-ai-models-over-the-internet-with-untapped-data/ Source: Wired Title: These Startups Are Building Advanced AI Models Without Data Centers Feedly Summary: A new crowd-trained way to develop LLMs over the internet could shake up the AI industry with a giant 100 billion-parameter model later this year. AI Summary and Description: Yes Summary: The text discusses an innovative crowd-trained…

  • Slashdot: AI-Generated Code Creates Major Security Risk Through ‘Package Hallucinations’

    Source URL: https://developers.slashdot.org/story/25/04/29/1837239/ai-generated-code-creates-major-security-risk-through-package-hallucinations?utm_source=rss1.0mainlinkanon&utm_medium=feed Source: Slashdot Title: AI-Generated Code Creates Major Security Risk Through ‘Package Hallucinations’ Feedly Summary: AI Summary and Description: Yes Summary: The study highlights a critical vulnerability in AI-generated code, where a significant percentage of generated packages reference non-existent libraries, posing substantial risks for supply-chain attacks. This phenomenon is more prevalent in open…