Tag: coding tasks

  • Simon Willison’s Weblog: llm-mistral 0.14

    Source URL: https://simonwillison.net/2025/May/29/llm-mistral-014/#atom-everything Source: Simon Willison’s Weblog Title: llm-mistral 0.14 Feedly Summary: llm-mistral 0.14 I added tool-support to my plugin for accessing the Mistral API from LLM today, plus support for Mistral’s new Codestral Embed embedding model. An interesting challenge here is that I’m not using an official client library for llm-mistral – I rolled…

  • AWS News Blog: Introducing Claude 4 in Amazon Bedrock, the most powerful models for coding from Anthropic

    Source URL: https://aws.amazon.com/blogs/aws/claude-opus-4-anthropics-most-powerful-model-for-coding-is-now-in-amazon-bedrock/ Source: AWS News Blog Title: Introducing Claude 4 in Amazon Bedrock, the most powerful models for coding from Anthropic Feedly Summary: Claude Opus 4 is now available on Amazon Bedrock for developers to build advanced AI agents with improved reasoning and coding capabilities, as well as expanded context for building more autonomous…

  • Slashdot: Anthropic Releases Claude 4 Models That Can Autonomously Work For Nearly a Full Corporate Workday

    Source URL: https://slashdot.org/story/25/05/22/1653257/anthropic-releases-claude-4-models-that-can-autonomously-work-for-nearly-a-full-corporate-workday Source: Slashdot Title: Anthropic Releases Claude 4 Models That Can Autonomously Work For Nearly a Full Corporate Workday Feedly Summary: AI Summary and Description: Yes Summary: Anthropic has introduced Claude Opus 4 and Claude Sonnet 4, advanced coding and generative AI models, showcasing significant improvements in performance and capabilities, particularly for development…

  • Cloud Blog: Announcing Anthropic’s Claude Opus 4 and Claude Sonnet 4 on Vertex AI

    Source URL: https://cloud.google.com/blog/products/ai-machine-learning/anthropics-claude-opus-4-and-claude-sonnet-4-on-vertex-ai/ Source: Cloud Blog Title: Announcing Anthropic’s Claude Opus 4 and Claude Sonnet 4 on Vertex AI Feedly Summary: Today, we’re expanding the choice of third-party models available in Vertex AI Model Garden with the addition of Anthropic’s newest generation of the Claude model family: Claude Opus 4 and Claude Sonnet 4. Both…

  • Slashdot: Google’s Gemini 2.5 Models Gain "Deep Think" Reasoning

    Source URL: https://tech.slashdot.org/story/25/05/20/1915256/googles-gemini-25-models-gain-deep-think-reasoning?utm_source=rss1.0mainlinkanon&utm_medium=feed Source: Slashdot Title: Google’s Gemini 2.5 Models Gain "Deep Think" Reasoning Feedly Summary: AI Summary and Description: Yes Summary: Google has rolled out significant enhancements to its Gemini 2.5 AI models, particularly a new “Deep Think” reasoning mode that improves the models’ performance on complex tasks by allowing for hypothesis evaluation. These…

  • Simon Willison’s Weblog: OpenAI Codex

    Source URL: https://simonwillison.net/2025/May/16/openai-codex/#atom-everything Source: Simon Willison’s Weblog Title: OpenAI Codex Feedly Summary: OpenAI Codex Announced today, here’s the documentation for OpenAI’s “cloud-based software engineering agent". It’s not yet available for us $20/month Plus customers ("coming soon") but if you’re a $200/month Pro user you can try it out today. At a high level, you specify…

  • OpenAI : Addendum to o3 and o4-mini system card: Codex

    Source URL: https://openai.com/index/o3-o4-mini-codex-system-card-addendum Source: OpenAI Title: Addendum to o3 and o4-mini system card: Codex Feedly Summary: Codex is a cloud-based coding agent. Codex is powered by codex-1, a version of OpenAI o3 optimized for software engineering. codex-1 was trained using reinforcement learning on real-world coding tasks in a variety of environments to generate code that…

  • OpenAI : Introducing Codex

    Source URL: https://openai.com/index/introducing-codex Source: OpenAI Title: Introducing Codex Feedly Summary: Introducing Codex: a cloud-based software engineering agent that can work on many tasks in parallel, powered by codex-1. With Codex, developers can simultaneously deploy multiple agents to independently handle coding tasks such as writing features, answering questions about your codebase, fixing bugs, and proposing pull…