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
@luckyPipewrench@chrysb@openclaw Ah, I see. This makes it easier and safer to expose the HTTP endpoints via AlphaClaw. I have used the /v1/responses endpoint in the past to allow users of our product to chat with a managed OpenClaw instance and may revisit that. Will look into PipeLock as well!
1/ Iโm tired of starting over with a new AI every time I open a new tool.
One AI summarizes the meeting.
Another drafts the email.
Another lives in Slack.
Another makes the deck.
Theyโre useful, but they donโt know each other.
https://t.co/PIKhuNvT8b
Starting June 15, paid Claude plans can claim a dedicated monthly credit for programmatic usage.
The credit covers usage of:
- Claude Agent SDK
- claude -p
- Claude Code GitHub Actions
- Third-party apps built on the Agent SDK
Over the past month, some of you reported Claude Code's quality had slipped. We investigated, and published a post-mortem on the three issues we found.
All are fixed in v2.1.116+ and weโve reset usage limits for all subscribers.
@yousifa Vercel introduced a method of credential brokering to their Sandbox product that injects credentials on egressing traffic. Does that fully address this kind of attack vector or would it still be susceptible to your approach?
@enesakar@ikbear@upstash@openclaw How do you easily enable this when things like crons and maintaining websocket connections when the box sleeps while idle?
It is hard to communicate how much programming has changed due to AI in the last 2 months: not gradually and over time in the "progress as usual" way, but specifically this last December. There are a number of asterisks but imo coding agents basically didnโt work before December and basically work since - the models have significantly higher quality, long-term coherence and tenacity and they can power through large and long tasks, well past enough that it is extremely disruptive to the default programming workflow.
Just to give an example, over the weekend I was building a local video analysis dashboard for the cameras of my home so I wrote: โHere is the local IP and username/password of my DGX Spark. Log in, set up ssh keys, set up vLLM, download and bench Qwen3-VL, set up a server endpoint to inference videos, a basic web ui dashboard, test everything, set it up with systemd, record memory notes for yourself and write up a markdown report for meโ. The agent went off for ~30 minutes, ran into multiple issues, researched solutions online, resolved them one by one, wrote the code, tested it, debugged it, set up the services, and came back with the report and it was just done. I didnโt touch anything. All of this could easily have been a weekend project just 3 months ago but today itโs something you kick off and forget about for 30 minutes.
As a result, programming is becoming unrecognizable. Youโre not typing computer code into an editor like the way things were since computers were invented, that era is over. You're spinning up AI agents, giving them tasks *in English* and managing and reviewing their work in parallel. The biggest prize is in figuring out how you can keep ascending the layers of abstraction to set up long-running orchestrator Claws with all of the right tools, memory and instructions that productively manage multiple parallel Code instances for you. The leverage achievable via top tier "agentic engineering" feels very high right now.
Itโs not perfect, it needs high-level direction, judgement, taste, oversight, iteration and hints and ideas. It works a lot better in some scenarios than others (e.g. especially for tasks that are well-specified and where you can verify/test functionality). The key is to build intuition to decompose the task just right to hand off the parts that work and help out around the edges. But imo, this is nowhere near "business as usual" time in software.
Seeing the backlash from @NotionHQ users around the pricing of their new Custom Agents feature, it is clear the average person has no idea how much AI inference really costs. It is difficult to build in this space when you cannot heavily subsidize that cost like the big labs do.
@cramforce This is a great post. It really cements the mental model I have been developing around how to safely provide users with a powerful agentic harness that abstracts the complexity of something like OpenClaw while protecting both our secrets AND theirs.
@Shpigford@replysocial Ouch ๐ฌ I am a bit surprised they don't allow the Pro tier to continue programmatically replying to posts as I doubt most of the people running LLM spam bots would be willing to pay $5k/month. I hope you are able to get an exception for a valid product use case.
To help address automated reply spam, programmatic replies via POST /2/tweets are now restricted for X API.
You can only reply if the original author @ mentions you or quotes your post. Non-replies will remain unchanged.
Applies to Free, Basic, Pro, Pay-Per-Use. Note: Enterprise & Public Utility apps are not impacted.
Details: https://t.co/V7m7atGbBj
@theo@trq212@bcherny How is there still not a clear answer to this question from such a big name in the space? The silence is deafening. It is a simple question that deserves a simple answer.