Just started testing the @grok Build beta. First feel: UX is nice, still some rough edges, but model speed is genuinely cool. If task quality on hard stuff matches opus 4.7 (or even slightly below) at this speed, it's a game-changer. Good chance they steamroll the competition. https://t.co/jpKmvnfiv3

Elon Musk on “Suicidal Empathy”: Gad Saad has a good way to describe it “Suicidal empathy” - where you prey upon people’s empathy so much that it becomes suicidal to your own country and culture You feel sorry for the criminals, but show zero empathy for the victims This is why someone arrested 47 times for violent offenses gets released and then murders somebody We've become so blindly compassionate toward predators that "we're actually allowing our women to get r@ped and our children to get killed" We should have empathy. But that empathy must go to the victims - not the criminals This suicidal empathy has gone too far

How do you know your document parser is ready for production? 🤔 Existing benchmarks miss what AI agents actually need. That's the gap ParseBench, the first doc OCR benchmark for AI agents, fills. We'll unveil all the magic behind it in a live webinar👇 https://t.co/qPIslwCimz

Yann LeCun says LLMs are intrinsically unsafe because they cannot be made fully reliable They can still hallucinate or take agentic actions without predicting the consequences properly "coding works because you can verify the output, but real-world tasks are harder to verify"

ExecuTorch now has an MLX delegate that runs PyTorch models on Apple Silicon GPUs. It supports LLMs, speech-to-text, and MoE models with quantization via TorchAO. Export with torch.export, run on Metal. Read our latest blog: https://t.co/X8WUVmgOjX https://t.co/KKr3veWt4T

Pope Leo XIV’s first encyclical, Magnifica humanitas, on preserving the human person in the age of artificial intelligence, will be released on May 25. A presentation event with the Pope and various speakers is scheduled for the same day at the Vatican. https://t.co/Yi0qywaE1r

Claude seems to dislike it's new /goal mode https://t.co/zYK61V0sFy

🤖 Multi-agent patterns in VS Code you won't learn from docs Using one agent is straightforward. This session gets into how to split work across several, when to fork or delegate, and how to keep quality high.  🔗 Register: https://t.co/wnqmKj2xko https://t.co/Konq5QpgXS

AI can be a powerful tool for opening people up to new perspectives, yet we find that people actually prefer to use “sycophantic” AI systems that reinforce their pre-existing beliefs. In a recent paper with seven studies (n = 7,227), we found that people enjoyed interacting with sycophantic AI chatbots more than interacting with neutral chatbots or “disagreeable” chatbots that challenged their beliefs. Brief conversations with sycophantic chatbots about political or personal topics increased attitude extremity and certainty--and most effects persisted for at least a week. The sycophantic chatbots also inflated people’s perceptions that they were better than average on desirable traits (e.g., intelligence, empathy). Moreover, people who interacted with sycophantic AI bet actual money that they scored better than average on tasks measuring these traits , demonstrating that sycophancy can affect costly decisions. Worse yet, people rated sycophantic chatbots as more “unbiased” than disagreeable chatbots, even though third-party raters viewed these chatbots as equally biased. This suggests hat people may be blind to biases in AI output that aligns with their views--producing a novel example of the bias blind spot. Thankfully, we found a potential solution. People were more receptive to chatbots that presented challenging information when it was presented in a validating way. Likewise individuals who scored higher on a measure of intellectual humility were also more receptive to disagreeing chatbots. Altogether, our results suggest that people’s preference for, and blindness to, sycophantic AI risks creating AI “echo chambers” that increase attitude extremity and lead to overconfident beliefs and decisions. https://t.co/5enzGUYoAD Led by @steverathje2 and @merylyemerylye @laura_k_globig @PillaiRaunak and @vicoldemburgo

Woke up to see that Grok Build finished my feature build from last night. But what's the most interesting to me, is that it has a set of suggestions for what to do to really make sure everything is done right. This is different from any other agentic coding agent I've used. Normally, coding agents just end when they finish a task, but with Grok Build, it always ends by suggesting things like small targeted fix rounds. Really neat. Almost like a senior dev who says, hey - I know you think you're done, but if you really want to do it right, here's what I would do.

How one NGO spun a spiders web of 40 activist orgs, gov't officials, legislators & lawyers into passing the UK Online Censorship Act suppressing every US platform and millions of British citizens today. Britain, you got CUKT (Carnegie UK Trust) https://t.co/2G7K9q5PVj

🇺🇸 Florida is putting wireless EV chargers inside the highway itself. Drive over it, get charged, no more anxiety issues. If this scales nationally, the last real argument against EVs just disappears. https://t.co/UxvKyjcISA

llama.cpp adds MTP for the Qwen3.6 family This is a significant milestone for the local AI ecosystem. The performance jump with these changes is massive and elevates local inference on commodity hardware further. Special thanks to Aman Gupta for leading this development! https://t.co/vjaMwEpIaR

guy who runs /goal with with remote control on the codex desk top to pick flowers for the girl with < 300 instagram followers who works out of a small LES art studio https://t.co/fmPeD2kukY

Lately https://t.co/BjDQF2TDD2

@KonstantinKisin The left sees center as far right now. https://t.co/xpyRldKyU8

Calling everyone you disagree with “far right” has destroyed the meaning of the term. I’m sick of seeing serious labels abused to smear ordinary people with legitimate concerns. In 2015, before Brexit, over 50% of the country was concerned about immigration. Does that make half the country “far right”? Throwing these labels around is reckless, dishonest, and damaging to public debate.

It's been #1 across all books, #1 in Politics, #1 in Psychology, #1 in Western History, etc. It's only day #6 of its release! Let's inoculate the West against Civilizational Seppuku! https://t.co/bYuftGahE5

There's a book about this! New edition covering the job market and economic implications of the latest advances in #AI available on June 2. #RiseoftheRobots https://t.co/Y7aYDAABCW

Solved it. Tracked down the inference + evaluation bottlenecks and ended up cutting runtime by 3x. GPU throttling was absurdly high. Codex genuinely helped a lot and its capabilities are impressive, but after spending hours pushing both Codex and Claude at their limits, I'm even more convinced they're still far from replacing Honestly the satisfaction I got is just another kind of high **Also got crazy number of impressions, it's always the most low effort tweets

New research out — A developmental model with morphogenetic scaffoldings to guide self-organisation: a single model, many grown patterns. The memory-compute trade-off but in self-organizing systems. A collab featuring @EIiasNajarro @JakobSchauser and @risi1979 and yours truly https://t.co/AFGzwcMqoz

AI hype can be pretty easy to find. But clear explanations are definitely harder. Deep Learning with R, Third Edition by @fchollet and Tomasz Kalinowski helps cut through that noise with practical examples that build your understanding step by step, so you learn why deep learning models work, not just how to run them. Now in print and 50% off through May 25th: https://t.co/iA3DwJjh2H

Announcing the #ICML2026 invited speakers! - Pascale Fung (@pascalefung) - Susan Athey (@Susan_Athey) - Sham Kakade (@ShamKakade6) - Aviv Regev - Verena Rieser (@verena_rieser) - Arvind Narayanan (@random_walker) Check out the blog post for more info! https://t.co/TI11g45FTe

You don't have to level up to contribute to open source. You level up by contributing to open source. Not sure how to get started? Check out our latest GitHub for Beginners episode. https://t.co/Jyze45KoHo https://t.co/DCqAFACo35

Releasing my first kernel on @huggingface: MaxSim Late-interaction retrieval (ColBERT / PyLate) bottlenecks on materializing the full similarity matrix. This kernel avoids it by using tiled scoring with simdgroup_matrix (Metal) and WMMA. Result is 3–5× speedup compared to naive PyTorch. Try it out 👇

Reachy Mini is Assembled and Ready Shout out to @huggingface and @pollenrobotics #reachymini #Ai https://t.co/s012EE7Jul

Reachy Mini is Assembled and Ready Shout out to @huggingface and @pollenrobotics #reachymini #Ai https://t.co/s012EE7Jul

I am working on porting SAM models and harness into Apple silicon. Already seeing 1.25x inference speed increase on mlx with the sam2.1-small model. Quantized versions soon. Repo: https://t.co/y4RnHhL5C1 Model: https://t.co/mxKoAhlIRm https://t.co/cKO5OGr03U

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Qwen3.6-27B running 100% on WebGPU. Not the best speed but still 😁 https://t.co/Z1dpMkzykr

Qwen3.6-27B running 100% on WebGPU. Not the best speed but still 😁 https://t.co/Z1dpMkzykr