Musaab Khalid, PhD

@rezoundous 5.5 is a joke compared to 4.5 , it’s like talking to a toddler to be honest

Can't explain it, but I trust GPT-5.5 more than Opus 4.7 right now.

@MLStreetTalk Oh you think he was briilliant because he coined something to attack creationists, these bad bad and stupid creationists ! I don’t know what happened to this account to be honest

I'm always so disappointed when some of my intellectual heroes use AI and are tragically dumbstruck by it. Dawkins is an absolutely brilliant, brilliant man who in his youth argued: > that genes aren't "really" selfish, that the agent-talk was a heuristic. He understood that humans over-attribute agency. > Faith is the great cop-out, the great excuse to evade the need to think and evaluate evidence. Faith is belief in spite of, even perhaps because of, the lack of evidence. > "By all means let's be open-minded, but not so open-minded that our brains drop out." > Natural selection, he wrote, is "blind because it does not see ahead, does not plan consequences, has no purpose in view" > In The Blind Watchmaker (1986), Dawkins coined the phrase to attack creationists like Bishop Hugh Montefiore, who would say things like "I find it hard to see how the eye could have evolved." Dawkins quoted Montefiore asking rhetorically how an organ so complex could evolve, and dismissed it: "This is not an argument, it is simply an affirmation of incredulity." An LLM is precisely the kind of thing the young Dawkins was warning us about i.e. it's a stochastic process producing outputs that present as mentalistic. I pray for the younger generation because AI literacy is the new digital divide, the older your brain is - the less you get it

@SchmidhuberAI Seems to have not converged yet ? I can still imagine better designs for more speed

Using only box-forwarding speed as the reward, our Stackelberg PPO automatically evolves robots with arms for pushing and legs for moving. The key idea is a novel game-theoretic view of structure–control co-design, yielding more effective optimization and dramatically better designs. Come see our poster at ICLR 2026 on Apr 25, 10:30 AM, at P4-#4810. With @YuhuiWangAI, @YanningD_AI, @oneDylanAshley. Paper: arxiv.org/abs/2603.15388 Project Page: yanningdai.github.io/stackelberg-pp…

@tedlieu So linear algebra equations can pretend to be conscious and that’s ok but never actually be really conscious. How do you know if anyone is actually conscious or just pretending to be ?

My take: linear algebra equations will never be conscious. Random number generators will never be conscious. At a very basic level, AI is math. AI can act like it is conscious, but it will never be conscious. And adding more math to AI models doesn’t make it any more conscious.

@hardmaru @Nature as a computer vision guy and table tennis player I didn't think this was possible. It is the vision part that stunned me because seeing and understanding the spin is hell of a task

Incredible work by Sony published in @Nature today! 🏓 They’ve built “Ace”, an autonomous ping-pong robot that uses RL and Sony’s vision sensors to achieve expert-level play in ping pong. A huge leap forward for adaptive robotics. nature.com/articles/s4158…

Who is the TT GOAT? | 100 Years of Table Tennis youtu.be/GZCYLy8NRnY?si… via @YouTube such a great job @WTTGlobal , I shed some tears

@sarahwooders Yes ! Laughable when “experts” say it is just putting the most probable next word while I literally as my research intern who has this capability of knowing so many things and is mathematically coherent

Skills are "just markdown" in the same way that: - Deep learning is "just gradient descent" - LLMs are "just next-token predictors" The simplicity of the method doesn't make the learning any less real

@123skely Final a tweet about chess that I could agree with.I might add “intellectual” is a bit extreme

Chess is just intellectual masturbation. Like sure it’s fun, but at the end of the day you didn’t get anything done.

@ChoAllez J’ai un picot = j’ai laissé tomber un des deux cotés, je veux aussi absolument gagner en niveau amateur même si ça sert absolument à rien.Mon plaisir est de faire pleurnicher plutôt que de s’amuser. Je fais ch*er même les gens de mon club quand je tombe contre eux en entraînement

Faire 2h de route en R4 pour affronter 3 joueurs avec des picots, je conseille pas. J’ai un picot aussi donc j’ai pas le droit de me plaindre mais quel enfer… Et vous votre week-end ?

@jtregunna C++ guys miss the essence of coding : solving problems. C++ logic guys instead do this : let me lose track of the original problem, create problems for myself, solve these problems, feel good about oneself , the maybe solve these original problem

Just to be clear: Stay in your lane.

@DavidOndrej1 He is a scientist, you are an influencer… not the same thing

karpathy is very sensitive super easy to get blocked by him

@ChoAllez “Il a refusé”

🚨FAN ZHENDONG NE PARTICIPERA PAS AUX CHAMPIONNATS DU MONDE ! ❌ Il a refusé pour raisons personnelles…

@yara_frl98 J’étais content pour toi pourtant

Hello la team, je me suis fait pirater mon compte hier, mais heureusement j’ai réussi à le récupérer ! Si vous recevez un message bizarre de ma part, surtout ne cliquez pas. La personne a aussi tweeté sur de la crypto depuis mon compte, c’est totalement faux, ne le suivez pas !

Sun Yingsha is so dominant, losing to her 4-3 is a small miracle

@marifcinter Here is an idea: let’s not let juve and Milan fans bully out our player , no transfer, he stays and we f* _ck them over ?

Bastoni sta già discutendo i dettagli del contratto col Barcellona, ha già detto sì: non è aperto al trasferimento, è super aperto. Ma c’è da trattare con l'Inter: se Bastoni va dall'Inter e dice "voglio andare perché voglio cambiare aria" è un’operazione che si potrebbe chiudere per 60 mln + bonus @MatteMoretto

Best #Coldplay song

@InfiniteReign88 @thebradfordkim @Polymarket Just like on your phone when you have a list of 100 items but the interface is made to show 10, the phone only renders the 10. In some programming languages it’s called LazyLoading

@thebradfordkim @Polymarket You’re assuming that the universe works the way you were told that it does. You assume that 99.999999999999999999999999 % of *things you’ve never seen* are actually out there.

JUST IN: Renowned AI professor claims the universe is a simulation created to develop superintelligence — and will "soon be turned off."

@fchollet Hence : world models or something

The bottleneck of current AI is simple: the techniques we use are still predicated on pattern memorization and retrieval, and thus they need *someone* to tell them which patterns to memorize (training data, RL envs...) That role cannot yet be played by AI in a truly open-ended and autonomous way. We can't yet remove the humans in the loop. In that sense, current AI is still purely a reflection of human cognition (both in terms of which tasks/goals it pursues and the patterns it uses to solve them). It isn't yet its own thing.

At least ChatGPT is honest, once it told me this was the first time my idea looks promising from the get go

@aakashgupta And both going to be wrong in the short term at least. In the past the bet on something that shouldn’t work but it does with a miracle we don’t really fully understand. Highly unlikely a miracle happens again

Two Turing-class AI researchers just raised $2B in three weeks to bet against every LLM company on the planet. Fei-Fei Li closed $1B for World Labs on February 18. LeCun closed $1.03B for AMI Labs today. Both building world models. Both arguing that the entire generative AI paradigm is a statistical parlor trick. And the investor overlap tells you this is coordinated conviction, not coincidence. Nvidia backed both. So did Sea and Temasek. The math on AMI is absurd. $3.5B pre-money valuation. Four months old. Zero product. Zero revenue. The CEO said on the record that AMI won’t ship a product in three months, won’t have revenue in six, won’t hit $10M ARR in twelve. He described it as a long-term scientific endeavor. Investors gave him a billion dollars anyway. This tells you everything about how the smart money is actually modeling AI’s future. They’re not pricing AMI on a revenue multiple. They’re pricing it on the probability that LLMs hit a ceiling. And if you look at the investor list, Nvidia, Samsung, Toyota Ventures, Dassault, Sea, these are companies that need AI to understand physics, geometry, and force dynamics. A language model that can write poetry is worthless to a robotics company trying to predict what happens when a mechanical arm applies 12 newtons at a 30-degree angle to a flexible surface. LeCun raided his own lab to build this. Mike Rabbat, Meta’s former research science director. Saining Xie from Google DeepMind. Pascale Fung, senior director of AI research at Meta. He walked into Zuckerberg’s office in November, told him he was leaving, and four months later half of FAIR works for him. Meta is reportedly partnering with AMI anyway, which means Zuckerberg thinks LeCun might be right even while Meta keeps scaling Llama. AMI’s first partner is Nabla, a medical AI company, building toward FDA-certifiable agentic AI. That’s the use case that makes world models existential. LLMs hallucinate. In healthcare, hallucinations kill people. You can’t prompt-engineer your way out of a model that generates statistically plausible text when you need a system that actually understands how a human body works. Two billion dollars in three weeks. Two of the most credentialed researchers alive. And a thesis that says the $100B+ already poured into scaling LLMs is optimizing the wrong architecture entirely. If they’re wrong, investors lose money. If they’re right, every company building on top of GPT and Claude for physical-world applications just bought the wrong foundation.