We've added support for the Enterprise-Managed Auth extension to MCP.
Admins can centrally authorize MCP connectors for their organization, so all the tools and data users need are connected on their first login.
The US government, citing national security authorities, has issued an export control directive to suspend all access to Fable 5 and Mythos 5 by any foreign national, whether inside or outside the United States, including foreign national Anthropic employees.
The net effect of this order is that we must abruptly disable Fable 5 and Mythos 5 for all our customers to ensure compliance.
Access to all other Claude models is not affected.
We apologize for this disruption to our customers. We believe this is a misunderstanding and are working to restore access as soon as possible.
Read our full statement: https://t.co/bwn0sximKZ
As a result of a US government directive, we are suspending access to Claude Fable 5 for all users. You can continue to use all other Claude models.
Here’s what this means for you:
Across Claude products, new sessions will run on your selected default model or Opus 4.8, and existing Fable 5 sessions will end with an error.
On the Claude Platform, requests to Fable 5 will also return an error. Please update your integrations to other Claude models.
We know this is a disruption to your workflows; we appreciate your patience and support.
Apple finally did it.
Its new framework, Core AI, runs models entirely on Apple silicon, so inference happens on the user's device with zero server calls and zero token bills.
That means Qwen, Mistral, and SAM3 running natively across iPhone, iPad, Mac, and Vision Pro.
It's a memory-safe Swift API that compiles models ahead of time for near-instant load. Pulling one in takes a few lines:
let segmenter = try await ImageSegmenter(resourcesAt: sam3ModelURL)
let response = try await segmenter.segment(image: inputImage, prompt: "flower")
The launch goes beyond the runtime, though.
It ships curated open models packaged for Swift, PyTorch extensions to convert your own, and an optimizer that shrinks models layer by layer with minimal accuracy loss.
There's also a macOS debugger that profiles performance and traces behavior back to your original Python, plus Xcode tools to validate models before they ship.
For any team that wanted real on-device AI without a cloud bill attached to every user, this is the answer.
Models repo: https://t.co/yZCIhrM6YQ
More of the iOS app loop, now inside Codex.
The Build iOS Apps plugin lets Codex view and test your iOS app in the in-app browser, open SwiftUI previews, and hot reload edits without leaving Codex.
OpenAI frontier models and Codex are now generally available on AWS, giving enterprises a new way to build on Amazon Bedrock with OpenAI through the security, compliance, and governance workflows they already use.
This is also the beginning of a broader expansion of OpenAI capabilities on AWS, including future availability for cybersecurity capabilities like Daybreak.
https://t.co/vMws0YU6Q3