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Kimi K3 from Moonshot AI is newly available on the Amazon Bedrock platform

Kimi K3 (2.8 trillion parameters) from Moonshot AI has also been available on the Amazon Bedrock platform since 18 September 2026, with support for prompt caching and AWS data protection. The model was released in July 2026 as the first open model in the 3 trillion parameter class.

New: Kimi K3 is now available on Amazon Bedrock as a new distribution channel; The model supports prompt caching on Bedrock; Data in AWS Bedrock is protected by the AWS data boundary without being shared with the provider; The Bedrock deployment optimizes the model for long coding and knowledge workflows

GitHub recommends Claude Opus 5.5 following the retirement of Claude Opus 4.7

The recommended replacement for Claude Opus 4.7 in GitHub Copilot is Claude Opus 5.5; the original announcement listed Claude Opus 5. The retirement of four models takes effect on 2 October 2026 across all environments of the service.

New: The recommended replacement for Claude Opus 4.7 is Claude Opus 5.5, not Claude Opus 5.

Amazon Bedrock now supports open models for AI coding agents via integration with OpenCode

Amazon Bedrock now supports open models (NVIDIA Nemotron, Moonshot AI Kimi K3, GPT-OSS from OpenAI) for AI coding agents via integration with the OpenCode tool. According to AWS, this reduces costs and addresses data residency; the source text is only partial.

Anthropic pushes for mandatory AI system safety audits in the US

Anthropic supports federal and state legislation requiring independent safety audits of AI systems, including the Massachusetts bill with a $561 million package. President Trump, by contrast, is betting on industry self-governance without strict regulation.

Mixture of Experts changes inference architecture: data movement and cluster orchestration

An analysis by SemiAnalysis describes how the Mixture of Experts architecture changes the requirements for inference infrastructure – which tensors remain active, how data moves between the prefill, midfill and decode phases, and how orchestration layers such as NVIDIA Dynamo or Mooncake coordinate this.

ByteDance is training an AI model with up to 10 quintillion parameters, competing with Mythos 5 from Anthropic

According to sources familiar with the matter, ByteDance is training an AI model with up to 10 quintillion parameters — three times as many as Kimi K3 from Moonshot. It is in an early stage of pretraining; the estimated size of Mythos 5 from Anthropic is around 8 quintillion parameters.

The debate over US policy on open-weight AI models: ban, or leadership in safety

A commentary on Tech Policy Press calls on the US to pursue a leading role in the safe development of open-weight AI models instead of the considered ban, since the market is dominated by Chinese models such as GLM, Kimi, DeepSeek and Qwen.