Google Deepmind argues that LLMs can never make real scientific discoveries.
They published a paper breaking down Albert Einstein’s private view of scientific discovery.
In a famous letter to his friend Maurice Solovine, Einstein drew a diagram of how science actually happens.
It is a cyclical loop.
First, you experience raw sensory data. Then, through a mysterious, non-logical act of intuition, you make an intuitive "jump" to abstract axioms. Finally, you use strict logical deduction to derive consequences from those axioms.
Generative AI has completely mastered two-thirds of this loop.
• Induction: Statistical pattern matching across billions of tokens.
• Deduction: Formal proof generation, like AlphaProof solving complex math Olympiads.
AI can crunch data and it can prove theorems.
But it cannot make the jump.
The paper argues that AI completely lacks Abduction, the generation of novel explanatory hypotheses when observational data is scarce.
The prevailing tech myth says that "creativity is just data compression." That if you feed an LLM enough text, scientific breakthroughs will naturally pop out.
Einstein’s formulation of General Relativity proves that is a delusion.
When Einstein formulated relativity, the observational data didn't demand a new physics framework; classical mechanics was still massively successful. The breakthrough required a conceptual rupture. An intuitive leap from physical reality to a brand-new set of foundational axioms.
An LLM can execute the math once the axioms are given. But it is structurally incapable of formulating those premises on its own.
It can interpolate inside existing human thought, but it cannot transcend it.
The translation of physical reality into formal axioms remains the absolute, hard bottleneck of artificial scientific invention.
We can build models with trillions of parameters. We can scale compute into the stratosphere.
We can make the calculator infinitely fast.
But until we solve grounding, the machine can process all the data in the universe.
It still can't make the jump.
For my first post, I’m sharing a letter @NVIDIA signed on why open models matter.
AI will transform every industry, power every company, and be built by every country.
Open models strengthen safety and cybersecurity, accelerate innovation and diffusion, and enable sovereignty.
The world needs both frontier closed models and frontier open models.
https://t.co/AUKzoQ5Ikb
We proved that any safety gate with no memory of agent history can't beat SRS = 1/4 at telling corrections from attacks.
Then we broke past it.
"Selective Rigidity" - presented at LAW@COLT 2026, San Diego.
Abstract: https://t.co/f3MQWOmGzJ
The AI Impact Summit in Delhi has brought together the who’s who from the AI world.
There is representation from over 100 countries.
There are distinguished participants from every corner of the globe.
Our aim is the same - leveraging the power of AI for the welfare of our planet.
Want to win a ticket for this year's EU-Startups Summit and join 2,500 of Europe's best startup founders & investors on May 7-8 in Malta? 🏝️🚀 Follow us now & retweet this tweet. Among all retweeters we'll select 3 ticket winners on February 20! 🍀 https://t.co/Y54dJq86ew
OpenAI CFO says they could take a cut of customer revenue
from inventions built with models OpenAI gave them access to
(that those customers already paid for, btw)
Imagine a world where only these folks had AI models
That would’ve been hell
𝐌𝐨𝐛𝐢𝐥𝐞 𝐏𝐡𝐨𝐧𝐞𝐬 𝐌𝐚��𝐞 𝐢𝐧 𝐈𝐧𝐝𝐢𝐚:
𝐁𝐡𝐚𝐫𝐚𝐭𝐢𝐲𝐚 𝐁𝐫𝐚𝐧𝐝𝐬 𝐢𝐧 𝐌𝐚𝐱 𝟏𝟖 𝐦𝐨𝐧𝐭𝐡𝐬!
MeitY Minister @AshwiniVaishnaw unveils next milestone as India surges in mobile phone manufacture:
‘Very soon, maybe another one year from now, or maybe max 18 months from now, we should have our own Indian brands coming out.’
‘Now that we have a very substantial electronics ecosystem in our country, this is the time when we will be going for getting our own Indian brands in mobile phones'.
India is working on all 5 layers of the AI architecture: application, model, chip, infra and energy. We are building the foundation for global AI services.
📍 World Economic Forum, Davos
A bit late to post, but Week 2 of the Delta Residency is in full swing. ⚡
Heads down building the website + MVP for Aranya
where exporters pick the cheapest carbon-compliant shipping route in seconds. 🌍
Check it out → https://t.co/O83p1Wr7N7
#DeltaResidency#ClimateTech