Credo DAVON

MD, Data analyst, Data scientist

[Crypto Tice @CryptoTice_]

BREAKING:

Elon Musk just said what nobody in Washington wants to hear.

"The government is basically unfixable."
"If AI and robots don't solve our national debt. We're toast."

$39,000,000,000,000 in national debt.
Adding trillions every year.

The man who built Tesla. SpaceX.
And tried to fix the government himself.

Just admitted it can't be fixed by humans.

Only two things can save America now.
AI and robots. Or bankruptcy.

There is no third option.

[Credo DAVON @credo_davon]

@elonmusk 🦾

[Yann LeCun @ylecun]

https://t.co/R5YLI3ybBh

[Credo DAVON @credo_davon]

@Cristiano Felicidades

[CNBC @CNBC]

Jeff Bezos: "If I do my job right, the value to society and civilization from my for-profit companies will be much, much larger than the good that I do with my charitable giving."

[Credo DAVON @credo_davon]

🤔

[Kaynak Haber @KaynakNews]

Piqué, Şampiyonlar Ligi finalinden sonra kalenin ağlarını kesip götürdü; sebebi ise kupadan bir hatıra almak değil, katılamadığı arkadaşının düğününe unutulmaz bir hediye bırakmaktı.

[C3 @C_3C_3]

This is exactly how you deal with the “lack of diversity” claim.

You need to mock the absurdity of it.

Push back. Do not give the woke an inch.

This should have been how Christopher Nolan dealt with it.

Instead he followed the woke guidelines and desecrated a masterpiece.

[Microsoft Belgium @Microsoftbe]

Gérez vos données sensibles comme de la sauce épicée : manipulez avec soin, fermez bien après usage et ne partagez pas avec n'importe qui ! 🌶️

[Credo DAVON @credo_davon]

Quelque chose se prépare toujours depuis le 🇹🇬 +228

[Yann LeCun @ylecun]

@ziv_ravid Continuous, high-dimensional, noisy data.
LLMs totally suck at those.

[Credo DAVON @credo_davon]

Toujours en studio depuis le +228

[Le Spécialiste @JdS_SK]

Le Dr Alexandre Hébert désigné futur médecin chef du CHR Verviers - https://t.co/QcdVKeBZNK

[Haider. @haider1]

Yann LeCun says you cannot build a reliable agentic system without a world model

LLMs don't have world models. They can't predict the consequences of their actions before taking them

"they just act, and whatever happens next is someone else's problem"

Without that, it's not intelligence

[Le Point @LePoint]

Pour le chercheur Yann Le Cun (@ylecun), Prix Turing 2018, l'IA ne deviendra vraiment intelligente que le jour où elle touchera le monde réel.

Par @guillaumgrallet ➡️ https://t.co/oPogKtIxTX

[Aakash Gupta @aakashgupta]

Yann LeCun closed $1.03B for AMI Labs on March 10. Three days later, this paper dropped from his NYU collaborators.

15M parameters. Single GPU. A few hours of training.

LeWorldModel is the first JEPA that trains end-to-end from raw pixels. Two loss terms: predict the next embedding, keep the latent space Gaussian. Previous JEPAs needed exponential moving averages or pretrained encoders to avoid representation collapse. LeWM doesn't.

Six hyperparameters down to one.

The numbers are the story. Foundation-model-based world models require hundreds of millions of parameters and serious compute to plan a control task. LeWM plans up to 48x faster while staying competitive on 2D and 3D benchmarks. The whole thing fits on a laptop GPU.

Look at the trajectory. Yann announced his Meta departure in November 2025 after 12 years and called founding FAIR his "proudest non-technical accomplishment." On March 10, 2026, AMI Labs closed the largest seed round in European history at a $3.5B pre-money valuation. Bezos, Nvidia, Samsung, and Toyota all wrote checks.

Three days later: a paper showing that JEPA-from-pixels is no longer fragile and no longer compute-heavy. The engineering scaffolding that made it look like an academic curiosity is gone.

The authors sit at Mila, NYU, Samsung SAIL, and Brown. None at Meta.

Yann's bet was that the path to machine intelligence runs through world models, not language models. He left a public company to build it. Each JEPA paper from his network resets the assumed cost structure for that bet. This one makes world modeling laptop-cheap.

Meta still has the GPUs. The architecture left.

[Elon Musk @elonmusk]

Exactly

[Microsoft Belgium @Microsoftbe]

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