chetan

@ashokauniv'26

[chetan @_chetanugale]

@norpadon yes

[Nikhil Pahwa @nixxin]

I got a strange email this morning, from someone asking if I would like to set up a custom site with electoral data, or take API for SIR / Electoral rolls data.

I checked the site for my personal data, and learned something about what SIR and Electoral Rolls data reveals about us.

Full article here: https://t.co/PKs5BB5kao

[Google Research @GoogleResearch]

Introducing TimesFM-3, a state-of-the-art time series foundation model that enables accurate multivariate time series forecasting in a single forward pass, significantly outperforming other forecasting models across major benchmarks.

More on the blog →https://t.co/uSlnIdUJ4Q

[chetan @_chetanugale]

@patrickqrim hard ig

[petebray @petebray]

@Katie_Roof It's basically a gambling platform 🤐 https://t.co/AoypRQ1hB9

[Mauricio Romero @marome1]

Read about my latest paper on the quality differences between public and private preschools and primary schools in Tamil Nadu. Full papers here: https://t.co/XJpRHMRQ48

[chetan @_chetanugale]

@QBacquele @ScienceMagazine damn

[chetan @_chetanugale]

@aakrit @177pc @soaibgrewal 400+ meetups in 6 month is insane!

[J Wilderness @Jilderness]

wait until you hear about his job interview with Alex Karp

[chetan @_chetanugale]

@nikunj that's a no brainer

[chetan @_chetanugale]

@AnujaJaiswalTOI ^

[chetan @_chetanugale]

@eastdakota damn

[Patrick Collison @patrickc]

I'm interested in "trapped buildings": those that couldn't be built today (because of zoning and code changes) but also can't be substantially modified or demolished (because of historic protection rules). One of those phenomena that really makes one wonder what exactly we're trying to do.

Has anyone ever estimated what fraction of buildings in major cities fall into this category?

When I asked Claude about San Francisco, it concluded: "If forced to give a single number with a single confidence rating: roughly 100,000 buildings — about two-thirds of San Francisco's physical structures — sit in the trap as a practical matter. Confidence: moderate. The number could be 70,000 or 130,000 depending on how strictly you operationalize "can't be substantially modified.""

[chetan @_chetanugale]

@ClementDelangue egocentric 1m?

[chetan @_chetanugale]

@louisvarge build fast

[chetan @_chetanugale]

@financeworkflow @eddybuild @brahma_4u @Abhindas1 @ironwagh @PritnRandom @prakdadlani @thatssodhawal @vivekanandahr @alysha_lobo elaborate please, i want to know more!

[Bloomberg @business]

Peter Thiel’s Founders Fund is backing a company bringing AI to cow herding at a $2 billion valuation https://t.co/QHg8xT8s2c

[chetan @_chetanugale]

@sporadica true

[Mehdi 麦迪⁠ @BetterCallMedhi]

I spent time in Shenzhen last year and when I saw Merz come back from China saying Germans need to work more I immediately knew what broke his brain because I lived the exact same cognitive shock

my first week in Huaqiangbei I burned through 4 prototype iterations of a motor controller board for less than a thousand bucks total, back home a friend was working on something similar and spent over 12 thousand for a single revision that took almost two months to arrive

when you live that contrast in your own hands with your own project something permanently shifts in how you see the world and it goes way deeper than speed & cost

what Shenzhen actually built is a collective learning organism, imagine 20 PCB fabs 15 injection mold shops 30 component distributors and a hundred firmware freelancers all within a 2km radius, looks insanely redundant from the outside until you realize redundancy is actually information density in disguise

I watched this firsthand with an injection mold supplier I was working with, this guy had seen a hundred founders iterate similar thermal designs over 6 months so he proactively modified his tooling before I even opened my mouth, he knew what I needed before I knew what I needed, the intelligence lives in the relationships between the nodes and it compounds daily

the west thinks about manufacturing as a cost center you optimize by centralizing…

China accidentally built a distributed neural network of manufacturing intelligence where knowledge diffuses horizontally across thousands of agents faster than any single western company can process internally

so when Merz comes back and says we need to work a bit more I think he saw the problem but COMPLETELY misdiagnosed the solution, telling Germans to work harder is like telling a horse to gallop faster when the other side built a combustion engine

the gap is ARCHITECTURAL

it’s ecosystem density, you need a custom connector in Shenzhen you walk 200 meters, in Munich you send an email and wait 3 weeks

it’s iteration speed, parallel search vs sequential optimization at the system level, it’s risk tolerance, Chinese founders ship something broken on Monday fix it Tuesday ship again Wednesday while European companies are still in the approval phase for the pilot program of the feasibility study…

and Merz only saw the surface, what he missed is the tier 2 cities like Hefei Chengdu Wuhan replicating the Shenzhen model at scale right now

BYD going from irrelevant to outselling every european automaker combined in roughly 5 years, Huawei building its own 7nm chip under maximum sanctions when every analyst said it was physically impossible & behind all of that a government that treats advanced manufacturing as an existential national priority while europe debates whether AI needs another ethics committee

I think what we’re watching is the most asymmetric economic competition in modern history and most western leaders are still framing it as a productivity problem when it’s actually an ontological one

Europe & America are optimizing variables that China stopped tracking years ago meanwhile China is compounding on dimensions the west has no framework to even measure
Merz at least had the courage to name

it out loud and I respect that genuinely but working a bit more inside a broken architecture just means you arrive at the wrong destination slightly faster

[chetan @_chetanugale]

@narendramodi @KnessetENG kid!