Claude Fable 5 will be available again globally tomorrow.
After a series of productive conversations with the US government, we're redeploying the model with a new set of classifiers to target and block more cybersecurity tasks. In the near term, some routine tasks like coding and debugging will fall back to Opus 4.8. We’ll continue to refine these classifiers over the coming weeks to reduce false positives and better distinguish genuine misuse from legitimate requests.
We’ve also begun drafting a consensus framework—with Amazon, Microsoft, Google, and other Glasswing partners—for assessing the severity of AI jailbreaks and how AI developers should respond to them. We invite other industry partners and model providers to join us in this effort.
Finally, we’re scaling up our collaboration with the US government on model testing and safeguards. This will include pre-release access to models and safeguards for evaluation, information sharing on jailbreaks and misuse, and dedicated resources for joint research.
Thank you to our users for your patience, and to our partners across the government, industry, and the research community who worked alongside us to make Fable 5 available again.
Read our full blog: https://t.co/VHyum831ri
We’ve agreed to a partnership with @SpaceX that will substantially increase our compute capacity.
This, along with our other recent compute deals, means that we’ve been able to increase our usage limits for Claude Code and the Claude API.
Scion is a new multi-agent orchestration tool that orchestrates agents (Claude Code, Gemini CLI, Codex, and others) as isolated, concurrent processes.
Each agent gets its own container, git worktree, and credentials — so they can work on different parts of your project without stepping on each other.
https://t.co/q9I3KwM9iF
New in Claude Code: Remote Control.
Kick off a task in your terminal and pick it up from your phone while you take a walk or join a meeting.
Claude keeps running on your machine, and you can control the session from the Claude app or https://t.co/er6Blrr63e
Last month (feels like last year), Steve Yegge wrote a blog post about Gas Town and I felt inspired, confused, and intimidated. My teammate took the vision and made Goosetown.
I was shocked by how straightforward it was to have goose coordinate work across agents in parallel.
I wrote a blog post on how it all works: https://t.co/VnCY4nydMl
Multi-Agent Orchestration needs an MVC. 🤖🏗️
My attempt is the P.A.S.T. model:
📍 P – Plan (The Architect / Planner)
Sets the mission, strategy, defines tasks...
🛠️ A – Act (The Builder / Worker)
Does the work and only has context on narrow task / tool set...
🔍 S – Scrutinize (The Inspector / Critic)
Reviews task output, ensures quality and merges PR..
⚓ T – Track (The Anchor / Ticket Tracker)
The persistent "Shared Reality" where every hand-off is recorded...
Discover Gas Town: Steve Yegge's wild vision for AI-orchestrated coding swarms that turn devs into overseers of chaotic, super-productive agent factories.b08d92 https://t.co/5vfWf6Ygv7
I've never felt this much behind as a programmer. The profession is being dramatically refactored as the bits contributed by the programmer are increasingly sparse and between. I have a sense that I could be 10X more powerful if I just properly string together what has become available over the last ~year and a failure to claim the boost feels decidedly like skill issue. There's a new programmable layer of abstraction to master (in addition to the usual layers below) involving agents, subagents, their prompts, contexts, memory, modes, permissions, tools, plugins, skills, hooks, MCP, LSP, slash commands, workflows, IDE integrations, and a need to build an all-encompassing mental model for strengths and pitfalls of fundamentally stochastic, fallible, unintelligible and changing entities suddenly intermingled with what used to be good old fashioned engineering. Clearly some powerful alien tool was handed around except it comes with no manual and everyone has to figure out how to hold it and operate it, while the resulting magnitude 9 earthquake is rocking the profession. Roll up your sleeves to not fall behind.
I think congrats again to OpenAI for cooking with GPT-5 Pro. This is the third time I've struggled on something complex/gnarly for an hour on and off with CC, then 5 Pro goes off for 10 minutes and comes back with code that works out of the box. I had CC read the 5 Pro version and it wrote up 2 paragraphs admiring it (very wholesome). If you're not giving it your hardest problems you're probably missing out.
Tip: Use subagents on @claude_code.
@claude_code supports ~10 parallel tasks, coordinating via a task queue.
Avoid specifying parallelism; let Claude Code determine task distribution.
Cuong's article, "Claude Code: Subagent Deep Dive" is worth the read. @codecentrevibe
Introducing Gemini CLI, a light and powerful open-source AI agent that brings Gemini directly into your terminal. >_
Write code, debug, and automate tasks with Gemini 2.5 Pro with industry-leading high usage limits at no cost.