Tag: -4o

  • Simon Willison’s Weblog: GPT-4.1: Three new million token input models from OpenAI, including their cheapest model yet

    Source URL: https://simonwillison.net/2025/Apr/14/gpt-4-1/ Source: Simon Willison’s Weblog Title: GPT-4.1: Three new million token input models from OpenAI, including their cheapest model yet Feedly Summary: OpenAI introduced three new models this morning: GPT-4.1, GPT-4.1 mini and GPT-4.1 nano. These are API-only models right now, not available through the ChatGPT interface (though you can try them out…

  • Slashdot: OpenAI Unveils Coding-Focused GPT-4.1 While Phasing Out GPT-4.5

    Source URL: https://slashdot.org/story/25/04/14/1726250/openai-unveils-coding-focused-gpt-41-while-phasing-out-gpt-45 Source: Slashdot Title: OpenAI Unveils Coding-Focused GPT-4.1 While Phasing Out GPT-4.5 Feedly Summary: AI Summary and Description: Yes Summary: OpenAI’s launch of the GPT-4.1 model family emphasizes enhanced coding capabilities and instruction adherence. The new models expand token context significantly and introduce a tiered pricing strategy, offering a more cost-effective alternative while…

  • Slashdot: After Meta Cheating Allegations, ‘Unmodified’ Llama 4 Maverick Model Tested – Ranks #32

    Source URL: https://tech.slashdot.org/story/25/04/13/2226203/after-meta-cheating-allegations-unmodified-llama-4-maverick-model-tested—ranks-32?utm_source=rss1.0mainlinkanon&utm_medium=feed Source: Slashdot Title: After Meta Cheating Allegations, ‘Unmodified’ Llama 4 Maverick Model Tested – Ranks #32 Feedly Summary: AI Summary and Description: Yes Summary: The text discusses claims made by Meta about its Maverick AI model’s performance compared to leading models like GPT-4o and Gemini Flash 2, alongside criticisms regarding the reliability…

  • Cloud Blog: Introducing Ironwood TPUs and new innovations in AI Hypercomputer

    Source URL: https://cloud.google.com/blog/products/compute/whats-new-with-ai-hypercomputer/ Source: Cloud Blog Title: Introducing Ironwood TPUs and new innovations in AI Hypercomputer Feedly Summary: Today’s innovation isn’t born in a lab or at a drafting board; it’s built on the bedrock of AI infrastructure. AI workloads have new and unique demands — addressing these requires a finely crafted combination of hardware…

  • Slashdot: In ‘Milestone’ for Open Source, Meta Releases New Benchmark-Beating Llama 4 Models

    Source URL: https://news.slashdot.org/story/25/04/06/182233/in-milestone-for-open-source-meta-releases-new-benchmark-beating-llama-4-models?utm_source=rss1.0mainlinkanon&utm_medium=feed Source: Slashdot Title: In ‘Milestone’ for Open Source, Meta Releases New Benchmark-Beating Llama 4 Models Feedly Summary: AI Summary and Description: Yes Summary: Mark Zuckerberg recently announced the launch of four new Llama Large Language Models (LLMs) that reinforce Meta’s commitment to open source AI. These models, particularly Llama 4 Scout and…

  • Simon Willison’s Weblog: Quoting Ahmed Al-Dahle

    Source URL: https://simonwillison.net/2025/Apr/5/llama-4/#atom-everything Source: Simon Willison’s Weblog Title: Quoting Ahmed Al-Dahle Feedly Summary: The Llama series have been re-designed to use state of the art mixture-of-experts (MoE) architecture and natively trained with multimodality. We’re dropping Llama 4 Scout & Llama 4 Maverick, and previewing Llama 4 Behemoth. 📌 Llama 4 Scout is highest performing small…

  • Simon Willison’s Weblog: Gemini 2.5 Pro Preview pricing

    Source URL: https://simonwillison.net/2025/Apr/4/gemini-25-pro-pricing/ Source: Simon Willison’s Weblog Title: Gemini 2.5 Pro Preview pricing Feedly Summary: Gemini 2.5 Pro Preview pricing Google’s Gemini 2.5 Pro is currently the top model on LM Arena and, from my own testing, a superb model for OCR, audio transcription and long-context coding. You can now pay for it! The new…

  • Simon Willison’s Weblog: smartfunc

    Source URL: https://simonwillison.net/2025/Apr/3/smartfunc/ Source: Simon Willison’s Weblog Title: smartfunc Feedly Summary: smartfunc Vincent D. Warmerdam built this ingenious wrapper around my LLM Python library which lets you build LLM wrapper functions using a decorator and a docstring: from smartfunc import backend @backend(“gpt-4o") def generate_summary(text: str): """Generate a summary of the following text: """ pass summary…