ISAIL’s Birthday is coming on November 16.

I have come to the conclusion that a lot of the Indian tech elite see themselves in the mirror and see a white person. then they reach America.

Friction. Friction. Friction. is the new Distribution. Distribution. Distribution. AI is rapidly eroding many of the moats we built businesses around in the pre-AI world. So what's left to build around? Increasingly, I think the answer is friction. Domain-specific complexity. Licenses. Regulation. Compliance. Cross-border rules. Messy workflows. Fragmented stakeholders. Physical-world dependencies. If your business doesn't have meaningful friction embedded in the problem it solves, it's becoming much harder to build something defensible. Pre-AI, we ran away from friction. We wanted simple, scalable, frictionless businesses. Post-AI, the very friction we once avoided might be what makes a business valuable and defensible. Of course, the goal isn't to create friction. It's to remove it for customers while building capabilities that are hard for competitors to replicate. Friction might now be as important as distribution was in the pre-AI world.

『仮面ライダーゼッツ』富士見さん役・三嶋健太、プライベートでもヒーローに oricon.co.jp/news/2489152/fu… 目の前で車の衝突事故に遭遇し、煙の出る車内から動けない人を救出。警察や救急車を呼び、周囲にも「危ないから近寄らないで」と呼びかけたという。「マジ瞬時に身体動いた」「ホンマに数秒 命掛けてた」と回顧。事故に遭った人は命に別状はなく、「爆発しなくて何より」と安堵した。

I hate early morning flights. That’s the tweet.

If you're relying on synthetic data and current LLMs to do your AI+Science, youre betting that your models will formalize scientific fields like chem and bio eventually. If you're relying on multimodal real data and world models for AI+Science, then you're betting that these fields won't formalize soon I'm on the latter, so these breakthroughs, while notable represent progress in existing formalized fields

I drew our Indian Flag with mathematical equations.