Tag: model comparison

  • Simon Willison’s Weblog: Gemini 2.5 Flash-Lite is now stable and generally available

    Source URL: https://simonwillison.net/2025/Jul/22/gemini-25-flash-lite/#atom-everything Source: Simon Willison’s Weblog Title: Gemini 2.5 Flash-Lite is now stable and generally available Feedly Summary: Gemini 2.5 Flash-Lite is now stable and generally available The last remaining member of the Gemini 2.5 trio joins Pro and Flash in General Availability today. Gemini 2.5 Flash-Lite is the cheapest of the 2.5 family,…

  • Slashdot: Apple’s Upgraded AI Models Underwhelm On Performance

    Source URL: https://apple.slashdot.org/story/25/06/10/1646256/apples-upgraded-ai-models-underwhelm-on-performance?utm_source=rss1.0mainlinkanon&utm_medium=feed Source: Slashdot Title: Apple’s Upgraded AI Models Underwhelm On Performance Feedly Summary: AI Summary and Description: Yes Summary: The text discusses the performance of Apple’s recent AI models in comparison to competitors, revealing that they lag behind those from Google, Alibaba, OpenAI, and Meta. This assessment has implications for the company’s position…

  • Simon Willison’s Weblog: Updated Anthropic model comparison table

    Source URL: https://simonwillison.net/2025/May/22/updated-anthropic-models/#atom-everything Source: Simon Willison’s Weblog Title: Updated Anthropic model comparison table Feedly Summary: Updated Anthropic model comparison table A few details in here about Claude 4 that I hadn’t spotted elsewhere: The training cut-off date for Claude Opus 4 and Claude Sonnet 4 is March 2025! That’s the most recent cut-off for any…

  • 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…

  • Simon Willison’s Weblog: Quoting Ted Sanders, OpenAI

    Source URL: https://simonwillison.net/2025/Apr/17/ted-sanders/ Source: Simon Willison’s Weblog Title: Quoting Ted Sanders, OpenAI Feedly Summary: Our hypothesis is that o4-mini is a much better model, but we’ll wait to hear feedback from developers. Evals only tell part of the story, and we wouldn’t want to prematurely deprecate a model that developers continue to find value in.…

  • Simon Willison’s Weblog: Quoting James Betker

    Source URL: https://simonwillison.net/2025/Apr/16/james-betker/#atom-everything Source: Simon Willison’s Weblog Title: Quoting James Betker Feedly Summary: I work for OpenAI. […] o4-mini is actually a considerably better vision model than o3, despite the benchmarks. Similar to how o3-mini-high was a much better coding model than o1. I would recommend using o4-mini-high over o3 for any task involving vision.…

  • Slashdot: Inception Emerges From Stealth With a New Type of AI Model

    Source URL: https://slashdot.org/story/25/02/26/2257224/inception-emerges-from-stealth-with-a-new-type-of-ai-model?utm_source=rss1.0mainlinkanon&utm_medium=feed Source: Slashdot Title: Inception Emerges From Stealth With a New Type of AI Model Feedly Summary: AI Summary and Description: Yes Summary: Inception, a startup led by Stanford professor Stefano Ermon, has developed a highly efficient diffusion-based large language model (DLM) that surpasses traditional models in both speed and cost-effectiveness. By enabling…

  • Hacker News: Gemini beats everyone on new OCR benchmark

    Source URL: https://arxiv.org/abs/2502.06445 Source: Hacker News Title: Gemini beats everyone on new OCR benchmark Feedly Summary: Comments AI Summary and Description: Yes Summary: The text discusses a new open-source benchmark designed to evaluate Vision-Language Models (VLMs) on Optical Character Recognition (OCR) in dynamic video contexts. This is particularly relevant for AI, as it highlights advancements…