Jase Wilson 🇺🇸

Ticker predictions for @SpaceX IPO? SEX? XXX?

🚨 BREAKING: Someone just open-sourced a full offline survival computer with AI, Wikipedia, and maps built in. Project N.O.M.A.D. is an open-source offline survival computer. Self-contained. Zero internet required after install. Zero telemetry. Everything runs locally on your hardware. What it includes: → Full Wikipedia archives via Kiwix → Offline maps via OpenStreetMap → Local AI models via Ollama + Open WebUI → Calculators, reference tools, resource libraries → A management UI to control everything from a browser One curl command installs the entire system on any Debian-based machine. Runs headless as a server so any device on your local network can access it. Minimum specs to run the base system: dual-core processor, 4GB RAM, 5GB storage. To run local LLMs offline, you want 32GB RAM and an NVIDIA RTX 3060 or better. No accounts. No authentication by default. No cloud dependency. No phone-home behavior. Built to function when nothing else does. The grid, the cloud, the API you depend on. None of it is guaranteed. The people building local-first systems right now are the ones who won’t be asking for help when access disappears.

Great @tbpn on @JeffBezos proposed $100Bn fund to bring manufacturing back to 🇺🇸. youtube.com/watch?v=xBwo0n…

@Marti_L Also the follow up question: "oh, so you're from Kansas."

@Marti_L 💯 try Maryville!

Elijah Wood is DJ’ing a ‘Lord of the rings’ middle earth themed rave in Denver on 5/31

That one neuron connects to about 7,000 others. Your brain has 86 billion of them. Do the math and you get somewhere around 100 trillion connections inside your head. More connections than stars in 1,500 galaxies. And each connection point is way more complicated than anyone expected. A Stanford lab found that every single connection contains about 1,000 tiny switches that can store memories and process information at the same time. So your brain is running roughly 100 quadrillion switches right now, while you read this sentence. The wild part is the power bill. Your brain runs on 20 watts. That’s less energy than the light in your fridge. The world’s fastest supercomputer needs 20 million watts to do the same amount of raw calculation. A million times more power for the same output. We’re still nowhere close to understanding how any of this works. In October 2024, a team of hundreds of scientists finished mapping every single connection in a fruit fly’s brain. Took six years and heavy AI help. That fly brain had 140,000 neurons. Yours has 86 billion. Google and Harvard also mapped a piece of human brain last year, a speck smaller than a grain of rice. That speck alone contained 150 million connections and took 1,400 terabytes to store. The lead scientist said mapping a full human brain at that detail would produce as much data as the entire world generates in a year. A tiny worm had its 302 brain cells mapped back in 1986. Almost 40 years later, scientists still can’t fully explain how that worm’s brain keeps it alive. Your brain has 86 billion of those cells, each one wired to thousands of others, each wire packed with a thousand switches, all of it humming along on less power than a lightbulb.

Respect & thank you for sharing @travisk

🇺🇸 🫡

Anyone still pouring capex into hyperscale data centers — thoughts here?

@garrytan Thank you @garrytan

I've been having such an amazing time with Claude Code I wanted you to be able to have my *exact* skill setup: Introducing gstack, which you can install just by pasting a short piece of text into your Claude code

Clear thinking from @WhiteHouse. Includes securing our nation's vulnerable physical layer as a pillar x.com/ycombinator/st…

@ycombinator @fed10ai @armandiorg @winstonwxi @zayandc 😎

Fed10 (@fed10ai) is building AI lobbyists. Their agents already help companies catch and suppress regulatory threats that would have cost millions in compliance before anyone saw them coming. Congrats on the launch, @armandiorg, @winstonwxi & @zayandc! ycombinator.com/launches/PdT-f…

a major challenge for redlining restricted model uses – how would an LLM know whether a function that manipulates atoms is benign, say, activate a spotlight, vs hostile, such as pull a trigger under some other name?

We must protect 🇺🇸's vulnerable critical infrastructure utilitydive.com/news/utilities…

i gave Claude access to my financial data and asked for suggestions and it told me to leave California 💀

Pure software is rapidly becoming un-investable.

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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