abuah

Like magic.🪄✨

Starting Thursday, we'll be updating our revenue sharing incentives to better reward the content we want on X: We will be giving more weight to impressions from your home region—to encourage content that resonates with people in your country, in neighboring countries and people who speak your language. While we appreciate everyone's opinion on American politics, we hope this will disincentivize gaming the attention of US or Japanese accounts and instead, drive diverse conversations on the platform. We invite creators to start building an audience locally. X will be a much richer community when there's relevant posts for people in all parts of the world.

@acadictive Mmm can’t say tbh. But if I had to pick, it’s probably the Ask user question tool for me.

@30Thrd auto mode is probably the best feature released by claude so far, no?

see ball, recognize ball, play ball. The timing of this release was perfect. I had "permission fatigue" in cc and have started almost all my sessions over the last 7 days via a bypass permissions alias - clauded. dangerously skip skip, skip. I trust claude to handle most things, for the others? Damned the consequences. fix after. luckily, we now have auto mode. consequences managed.

Pre-training is solved (sparsity) RL is solved (RL as inference) Inference is solved (recursive language models) Continual learning is solved (nested learning) Happy 2026 boys It’s off to the races

“HyperAgents” This paper shows that you can give an AI the ability to improve not just at a task, but at the way it improves itself. Similar to meta-learning, it learns better strategies for self-improvement, and the paper shows those strategies can transfer across domains and keep compounding over time.

"Memento-Skills: Let Agents Design Agents" This paper introduces an LLM agent that can build and improve its own reusable skills from experience without any fine-tuning. So rather than retraining bigger models, they give frozen models a self-improving memory that lets them design better agents for new tasks on the fly.

Worst idea ever & half baked. 1. Collective punishment of the genuine cross border, international voices, international travellers, expats, nomads. 2. Reward geography rather than quality of content 3. X’s greatest value is that it shrinks the world to a borderless village for free exchange of ideas & knowledge. Its success didn’t come from well walled-up geographic silos. 4. Those who are gaming for income can still find ways to game the system. 5. How do you even define one’s “home country”?? Place you were born? IP at the moment when you post? Passport? Language? 6. Most importantly, many top accounts are the most outstanding outliers of their region/country who are posting globally relevant high quality content. Now you want them to post about the corner bread shop? If it’s implemented, it’d be one of dumbest move in social media history.

@figma Always excited to learn from Thariq. Booked!

Learn how to go from Claude Code to Figma and back again Livestream with Anthropic: March 31, 9:00AM PST | 12:00PM EST

Stay ahead Today we're announcing Paper Snapshot Snapshot your live website and paste it into Paper as editable layers • start from your real site • no more screenshots • uses real html/css What will you make? Link in replies 🎶

Watch how fast Gemini 3.1 Flash-Lite can generate websites. ⚡ This browser creates each page in real-time as you click, search, and navigate. Give it a try → goo.gle/4t9In1R

Available now as a research preview on the Team plan. Enterprise and API access rolling out in the coming days. Enable with claude --enable-auto-mode, then cycle to it with Shift+Tab. Learn more: #auto-mode" target="_blank" rel="nofollow noopener">claude.com/product/claude…

We raised $7.5M to kill AI slop. Introducing Moda: the world's first design agent with taste. RT+ comment “Moda” and we’ll design your brand for FREE.

@trq212 @ainarsklavins 👀

@ainarsklavins much safer!

turns out being an AI safety company is useful for when you need to make sure AIs can run safely

73 product releases in 52 days. That's not a launch cadence — that's a different kind of company. I tracked every Anthropic release from Feb 1 to Mar 23 by going through @bcherny, @trq212, @noahzweben, @felixrieseberg, @lydiahallie, @amorriscode, @feldman, @dickson_tsai, and @claudeai. Built a calendar with first-announcement attribution. Look at the acceleration. February had bursts with gaps between them. March 9 onward is almost every single day — Code Review, Channels, Dispatch, Computer Use, back to back. The individual features get coverage. The shipping velocity doesn't. It should.

Can I go back after tasting bypass?

Software horror: litellm PyPI supply chain attack. Simple `pip install litellm` was enough to exfiltrate SSH keys, AWS/GCP/Azure creds, Kubernetes configs, git credentials, env vars (all your API keys), shell history, crypto wallets, SSL private keys, CI/CD secrets, database passwords. LiteLLM itself has 97 million downloads per month which is already terrible, but much worse, the contagion spreads to any project that depends on litellm. For example, if you did `pip install dspy` (which depended on litellm>=1.64.0), you'd also be pwnd. Same for any other large project that depended on litellm. Afaict the poisoned version was up for only less than ~1 hour. The attack had a bug which led to its discovery - Callum McMahon was using an MCP plugin inside Cursor that pulled in litellm as a transitive dependency. When litellm 1.82.8 installed, their machine ran out of RAM and crashed. So if the attacker didn't vibe code this attack it could have been undetected for many days or weeks. Supply chain attacks like this are basically the scariest thing imaginable in modern software. Every time you install any depedency you could be pulling in a poisoned package anywhere deep inside its entire depedency tree. This is especially risky with large projects that might have lots and lots of dependencies. The credentials that do get stolen in each attack can then be used to take over more accounts and compromise more packages. Classical software engineering would have you believe that dependencies are good (we're building pyramids from bricks), but imo this has to be re-evaluated, and it's why I've been so growingly averse to them, preferring to use LLMs to "yoink" functionality when it's simple enough and possible.

New on the Anthropic Engineering Blog: How we use a multi-agent harness to push Claude further in frontend design and long-running autonomous software engineering. Read more: anthropic.com/engineering/ha…