Narasimha @NaraAtWork

@realAkashAnand Done brother

Indian motorists will gather in New Delhi on Sunday, in the first major protest against a flagship biofuel program intended to reduce crude imports and support farm incomes bloomberg.com/news/articles/…

Always back to the basics: LatentMoE was probably inspired by MLA, which was inspired by LoRA, which was inspired by SVD, which was inspired by eigendecomposition.

Releasing a model this capable comes with risks. Without safeguards, Fable 5’s capabilities in areas like cybersecurity could be misused to cause serious damage. Queries on a narrow range of topics will instead receive a response from our next-most-capable model, Opus 4.8.

Fable 5 is state-of-the-art on nearly all tested benchmarks, with exceptional performance in software engineering, knowledge work, scientific research, and vision. The longer and more complex the task, the larger Fable 5’s lead over our other models.

Introducing Claude Fable 5: a Mythos-class model that we’ve made safe for general use. Its capabilities exceed those of any model we’ve ever made generally available.

Started the season with belief. Ended with back to back titles. 🏆 This team lived every emotion together. The highs, the pressure, the hurdles, and the unwavering support. It feels extra special because… this place is HOME! ❤️ @RCBTweets

This is a great initiative to empower woman to ride two wheelers for employment. While on the subject, India has the highest number of 2- wheelers in the world, but it doesn’t have a single two wheeler riding school ‼️ Think about it. You have Car Driving schools, truck Driving Schools, but bike Driving School? ZERO 0️⃣ 48% of all Road deaths in India are bikers (that’s nearly 90,000 lives). Maybe it’s time we started 2- wheeler riding schools. I’ve seen them in USA and Europe, so it’s not a new concept.

Lavpreet Kaur @kaurlavpreet_

a month ago

A homemaker now earns ₹3,500 in a few hours driving a cab. Another makes over ₹40,000 a month as a delivery rider. Meet the women taking the wheel, building livelihoods & breaking into professions long dominated by men. I write for The Hindu 👇🏻 thehindu.com/news/national/…

1 3 15 5K 2

@tarak9999 @NMeklaNTR 😂😂😂

@tarak9999 @DealsDhamaka @saitejaathoti 😂😂😂

@saitejaathoti

LLMs with and without RAG!!

Personal update: I've joined Anthropic. I think the next few years at the frontier of LLMs will be especially formative. I am very excited to join the team here and get back to R&D. I remain deeply passionate about education and plan to resume my work on it in time.

@zachly SQL

Hearty congratulations @actorvijay on setting new benchmarks and achieving a stunning victory!!! 👏🏻👏🏻👏🏻 Today reflects the faith people have placed in you in large measure… I’m certain this victory will translate into meaningful progress for Tamil Nadu. 🤗🤗🤗❤️❤️❤️

@scenesthatslap @grok what episode is this

Imagine if we drove without breaking rules, not because of being caught by the police, because it’s the right thing to do as citizens of India! You’ll be surprised to know that there are millions of Indians, who do this every day, many of whom who follow me. Let’s keep it up guys . Change has to come from within each of us. Don’t use bad infrastructure as a reason to be a bad driver. 👍♥️ #roadsafety

Earlier this year Yann LeCun left Meta because Mark Zuckerberg wouldn't bet the company on JEPA. Last week his group dropped the first JEPA that actually trains end-to-end from raw pixels. 15 million parameters. Single GPU. A few hours. The timing is not a coincidence. For four years Meta has been the house that JEPA built. LeCun published the original paper from FAIR in 2022. I-JEPA and V-JEPA came out of his lab. The architecture was supposed to be the escape hatch from LLMs, the path to robots that actually learn physics instead of hallucinating about it. Every version shipped fragile. Stop-gradients. Exponential moving averages. Frozen pretrained encoders. Six or seven loss terms that had to be hand-tuned or the model collapsed into garbage representations. Meta kept funding LLMs. Llama shipped. Llama scaled. Llama got beat by Qwen and DeepSeek. Zuck spent $14 billion to buy ScaleAI and install Alexandr Wang. The FAIR robotics group was dissolved. LeCun's research kept winning papers and losing the product roadmap. He left, started AMI Labs, and said publicly that LLMs were a dead end. Now the paper. LeWorldModel. One regularizer replaces the entire pile of heuristics. Project the latent embeddings onto random directions, run a normality test, penalize deviation from Gaussian. The model cannot collapse because collapsed embeddings fail the test by construction. Hyperparameter search went from O(n^6) polynomial to O(log n) logarithmic. Six tunable knobs became one. The downstream numbers are what should scare the robotics capex class. 200 times fewer tokens per observation than DINO-WM. Planning time drops from 47 seconds to 0.98 seconds per cycle. 48x faster at matching or beating foundation-model performance on Push-T and 3D cube control. The latent space probes cleanly for agent position, block velocity, end-effector pose. It correctly flags physically impossible events as surprising. It learned physics without being told physics existed. Figure AI is valued at $39 billion. Tesla Optimus is mass-producing. World Labs raised $230 million to sell generative world models. Everyone in humanoid robotics is burning capital on foundation-model pipelines that plan in 47 seconds per cycle. LeCun's group just showed you can do it with 15 million parameters on a single GPU in a few hours. This is the Xerox PARC pattern running again. Meta had the next architecture. Meta had the scientist. Meta dissolved the robotics team, passed on the productization, and watched the exit. Three months later the lab that was supposed to be Meta's publishes the result that resets the robotics cost structure. The paper is worth more than Alexandr Wang.