@ghulamio it's on my list but a bit trickier!

We received the letter of condolence from H. E. @CyrilRamaphosa following the martyrdom of Imam Khamenei. Iran and South Africa have deep-rooted friendship.

The computational power in your iPhone’s CHARGER is more than what was used to land on the moon.

@rryssf_ This isn’t new. AI agents show a 97% error rate even on favorable digital tasks. Let that sink in. Scrutiny isn’t anti-innovation. It’s accountability. https://t.co/pocfimUlD2

@steipete You didnt get that many crappy prs without AI

I (finally) put together a new LLM Architecture Gallery that collects the architecture figures all in one place! https://t.co/NO7z6XSRHS https://t.co/X41FrK4i94

A Restore Britain Government would defund the BBC. https://t.co/K63UGn7DSw

@shiri_shh Access to information isn’t knowledge. AI can generate convincing answers even without the right context or data. That’s how silent errors and hallucinations happen. AI slop comes from over-reliance on systems that fail silently. AI literacy matters.

@r0ck3t23 AI is software. Not a mind. Not a super-intelligence. The “digital coworker” or “autonomous agent” narratives are hype. These systems are non-deterministic code generating outputs from training data, not understanding anything. If your strategy is based on hype instead of how the tech actually works, you’ll get burned. Clarity matters. https://t.co/Ut4hpvTU3C

@CtrlAltDwayne People have been claiming this forever and it is a typical cycle. I can find posts about this every single week.

@CtrlAltDwayne And most of the time the reason is not the model but people outvibing themselves.

@TTrimoreau - hypotheses driven development - minimum viable experiment prioritizing riskiest assumptions - you need to have a bunch of folks to get feedback from. If you can’t get feedback pivot

@theo @DavidOndrej1 I have one good use case to save on token burn, use Gemini 3.1 flash for mock & seed data.

@brainmatterMD @dchaplot Yeah, human, unlike some others we know.

A quirky new trend is sweeping China’s AI scene. “Raise a lobster” style OpenClaw agents are going viral, turning autonomous AI tools into the latest experimentation playground. Behind the hype lies something bigger: a rapidly evolving ecosystem pushing the boundaries of agentic AI. https://t.co/WrQqG6qcuG @nickrigordon @fortunemagazine

// Continual Learning from Experience and Skills // Skills are so good when you combine them properly with MCP & CLIs. I have found that Skills can significantly improve tool usage of my coding agents. The best way to improve them is to regularly document improvements, patterns, and things to avoid. Self-improving skills don't work that well (yet). Check out this related paper on the topic: It introduces XSkill, a dual-stream continual learning framework. Agents distill two types of reusable knowledge from past trajectories: experiences for action-level tool selection, and skills for task-level planning and workflows. Both are grounded in visual observations. During accumulation, agents compare successful and failed rollouts via cross-rollout critique to extract high-quality knowledge. During inference, they retrieve and adapt relevant experiences and skills to the current visual context. Evaluated across five benchmarks with four backbone models, XSkill consistently outperforms baselines. On Gemini-3-Flash, the average success rate jumps from 33.6% to 40.3%. Skills reduce overall tool errors from 29.9% to 16.3%. Agents that accumulate and reuse knowledge from their own trajectories get better over time without parameter updates. I have now seen two papers this week with similar ideas. Paper: https://t.co/YXrHcJ6Zim Learn to build effective AI agents in our academy: https://t.co/1e8RZKs4uX

@redpillb0t 😬

@VladTheInflator The fact they know this and don’t care should make us wonder what their actual plan is

@aiktp_com Merch for sale. Tesla perigee are also SpaceX fanatics.

in the next claw release (~Sunday), you can always ask your agents, even they are busy working. https://t.co/TVX9o6ciKo

Shot this picture at dinner. But the important thing is soon you can talk more to your claw. So your AI works better with you. https://t.co/VTgfLSkUFV