MacOS now competing with windows vista

We have developed a new tactile sensor, called e-Flesh, with a simple working principle: measure deformations in 3D printable microstructures. Now all you need to make tactile sensors is a 3D printer, magnets, and magnetometers! 🧵

Speciale’s Vishesh Rajaram has taken some of the boldest bets in deep tech. Funding humanoid robots, quantum security, or an electric plane in India requires a certain mindset. But even after eight years of deep-tech investing, he says there’s no playbook—unusual for a VC firm.

As reported, I’ll be stepping back from my role as the Prime Minister’s Adviser on AI at the end of July. This will have been a yearlong “tour of duty”, first writing, then delivering the AI Opportunities Action Plan from No 10. A quick thread on why and what's next:

Machine Learning saved Computer Vision. Go back to 2012 and you’d see it trapped in useless niche problems with solutions that didn't generalize or replicate. Machine Learning didn't just rescue CV - it fundamentally transformed and propelled it into the forefront of AI.

🚨🚨Today we begin the search for ARIA's next CEO It's not often you get to hire for a role that you believe is not only someone's dream job, but genuinely one of the highest impact opportunities in the world... but this is it.. 🧵🧵

This Active Temple May Have Seen the Fall of Rome Dotted across the Tamil countryside in South India are some of the oldest places of worship anywhere in the world. And while temples to Zeus and Horus now lie dormant, these ancient temples remain in worship to this day

Whoever called it “terrible twos” was a ghoul. Watching a baby bootstrap a personality into existence is miraculous.

Imputation sure but what about reasoning

We build airplanes

Reasons hard tech fails: > assumed demand, never validated it > hired scientists, but needed builders > never made the leap from R&D to product > couldn’t navigate the government or procurement maze > inability to adapt as scale and regulatory complexity kicked in

Rest in peace, Sir.

For biological data, if you don't have deep expertise in this low value work called data cleaning, u r lacking a fundamental understanding of the idiosyncrasies of the data. Without this knowledge, it is impossible to seriously model data.

Most of the AI companies and their backers don’t give 2 shits about intellectual property and but will go as far to protect their own. OpenAI crying on deepseek stealing their output was a classic example. Pay for data

Forrest 1. You can't always go back to college. If you drop out for more than a year or two, you'll be older than the other students when you return and it won't be the same experience. 2. The iron is always hot.

It's funny in India some cars have a crime personality. more gauche than cool. Like the Farchooner, Range Rover, Vellfire. When I see one I'm thinking area leader / corruption enjoyer. and it's not because they are expensive. Like the E-class, X7 etc. don't have that.

experimental-history.com/p/ideas-arent-…

Any good SEO / GEO folks here? My boy Sreenadh Narayanan is looking

Walk through Even Hospitals with us.  Inside, you’ll see modern facilities for surgery, orthopaedics, gynaecology and more. Run by experienced doctors who focus only on outcomes, not volumes.  For Even members, this hospital is just one part of their care. They already have

Finally had a chance to listen through this pod with Sutton, which was interesting and amusing. As background, Sutton's "The Bitter Lesson" has become a bit of biblical text in frontier LLM circles. Researchers routinely talk about and ask whether this or that approach or idea