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Introducing GPT-6.1 Sol

Coding & Development

Introducing GPT-6.1 Sol

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We’re introducing GPT‑6.1 Sol, an upgrade to GPT‑6 Sol that nearly matches GPT‑6 Astra’s intelligence on agentic coding, computer use, and professional work at one-fifth of Astra’s standard input and output token prices. Cached input costs just $0.10 per million tokens—95% less than standard input pricing and 50% less than GPT‑6 Sol’s cached input pricing—giving developers more room to build and run capable agents that reuse context across requests. GPT‑6.1 Sol offers a new balance of capability and cost for important everyday work. It delivers substantial improvements over GPT‑6 Sol…

OpenAI · 29 Sep 2026 · 12:00 CESTRead story →Join free ↗
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Grok 4.7 is now available on Amazon Bedrock

Coding & Development

Grok 4.7 is now available on Amazon Bedrock

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xAI’s Grok 4.7 is now available on Amazon Bedrock, adding a frontier model built for coding, long-running agents, and knowledge work to the Bedrock model catalog. It offers a 500K token context window and supports configurable reasoning effort at four levels: low, medium, high, and xhigh. Grok 4.7 is served on the bedrock-runtime endpoint through cross-Region inference profiles, and it supports the Responses, Chat Completions, and Converse APIs. According to xAI, it’s their most capable model for coding and knowledge work: it works longer on difficult tasks and verifies its…

AWS AI · 29 Sep 2026 · 00:13 CESTRead story →Original ↗
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Introducing Claude Sonnet 5.5 on AWS

Coding & Development

Introducing Claude Sonnet 5.5 on AWS

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Today, we’re excited to announce the availability of Claude Sonnet 5.5 on Amazon Bedrock and Claude Platform on AWS. Claude Sonnet 5.5 is a smarter, more efficient Sonnet model suited for focused coding and knowledge work with lower cost per task for most work at faster speed. Amazon Bedrock gives you Sonnet 5.5 capabilities while keeping your data within AWS infrastructure with Regional data residency. It works with the AWS controls your team already uses, including AWS Identity and Access Management (IAM) for access, AWS CloudTrail for audit, Amazon CloudWatch…

AWS AI · 28 Sep 2026 · 20:57 CESTRead story →Join free ↗
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Multi-Region training with Amazon SageMaker HyperPod and Qumulo

Coding & Development

Multi-Region training with Amazon SageMaker HyperPod and Qumulo

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With Amazon SageMaker HyperPod and Qumulo, you can place training compute in one AWS Region and keep your dataset in another. Training large AI models requires massive GPU capacity, but your ideal compute resources and your training data don’t always reside in the same AWS Region. Accessing data across Regions adds network latency and transfer costs. Teams face a choice: either replicate petabytes of data across Regions, or absorb cross-Region latency on every read and accept slower training. This pairing can help tackle that trade-off, letting teams keep frontier models…

AWS AI · 25 Sep 2026 · 17:49 CESTRead story →Join free ↗
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Microsoft thinks its new Copilot ‘super app’ will be as influential as Office

Coding & Development

Microsoft thinks its new Copilot ‘super app’ will be as influential as Office

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After teasing its new Copilot “super app” last month, Microsoft is officially unveiling it today. The redesigned Copilot app bundles three AI capabilities into a single interface of chat, coding, and agents. As part of the launch, Microsoft is also rebranding Scout, the AI personal assistant it unveiled at Build earlier this year, as Autopilot. This new Copilot app will have three tabs for Home, Code, and Autopilot, with Home combining Copilot Chat and Cowork together. It’s the default landing experience for Copilot users, and Microsoft is also planning to…

The Verge AI · 25 Sep 2026 · 15:14 CESTRead story →Join free ↗
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Use open weight models as your AI coding agent with Amazon Bedrock

Coding & Development

Use open weight models as your AI coding agent with Amazon Bedrock

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AI coding agents have become a core part of how developers write, debug, and refactor software. Open weight models on Amazon Bedrock now make these agents practical to run privately and cost-effectively. But most options require you to send your proprietary data to a third-party API, lock you into a single model provider, or charge per-seat subscriptions regardless of how much you use them. If you have data residency requirements, cost-sensitive workloads, or a need for model flexibility, these constraints create real friction. What if you could run an AI…

AWS AI · 23 Sep 2026 · 20:17 CESTRead story →Join free ↗
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Training a coding model to paint watercolours with TRL and OpenEnv

Coding & Development

Training a coding model to paint watercolours with TRL and OpenEnv

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On 23 August, Surya Narreddi posted a beautiful video of watercolours painted by a language model. The model writes JavaScript through p5.brush, a library that "adds natural drawing tools to p5.js". The video went viral fast, over 1.5M views at the time of writing. The video came with a blog post explaining the training behind an earlier and narrower stage of the project, close-up flowers rather than the full compositions in the video, sadly without open artifacts yet. His site says a full technical report is coming, so ensure you…

Hugging Face · 3 Sep 2026 · 02:00 CESTRead story →Join free ↗
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Give Your Coding Agents a Memory You Own

Coding & Development

Give Your Coding Agents a Memory You Own

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Earlier this year, Software Forgets: Agent Traces Are the Memory made the case that coding agents already produce the record we keep losing. As they search a codebase, try approaches, hit errors, read documentation, and change direction, they leave behind a dense account of not just what changed, but why. While the diagnosis is correct, traces are only potential memory. The session logs of an agent are still just an archive. You cannot grep your way to “why did we move off the streaming parser?” across ten thousand turns. For…

Hugging Face · 3 Sep 2026 · 02:00 CESTRead story →Original ↗
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Asana completed a years-long code migration in 2 weeks with Codex

Coding & Development

Asana completed a years-long code migration in 2 weeks with Codex

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Using OpenAI Codex, Asana replaced an outdated testing system in two weeks, with about $12K in model and infrastructure costs. Weeks to complete a migration projected to take ~5 more years at its prior pace In order to modernize its frontend stack, Asana needed to finish a long-running code migration that was still years from completion. At its prior pace—with only a few engineers working on the migration incrementally alongside other priorities—Asana projected that it would take roughly five more years to complete. With Codex, Asana completed the project in…

OpenAI · 18 Aug 2026 · 09:00 CESTRead story →Join free ↗
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