200GW of global installed AI datacenter capacity by end-2030, from 18GW at end-2025. Eleven-fold in five years. ~$10trillion of total cumulative capex! Funding and power are the binding constraints, not demand. Which is the entire point: if the shortage is structural, the rent accrues to whoever owns the constraint — the compute, the fabs, the semi cap tools, the turbines, the grid. Bits to atoms.
Spent months building this.
100% open source.
No VC.
No hype.
Just code.
If you're into AI engineering, I'd love your feedback.
⭐ OpenRomeo
https://t.co/0O2hKI8cHP
Open Source AI updates :
> GLM-5.2 ✅ Almost Opus-level
> Kimi-K3 ✅ Almost Fable-level
> Qwen-3.8 🔜 2.4T, Expected to beat Opus
> Deepseek V4 GA 🔜 $0.0028/M Expected to beat Opus
> Minimax-M3-Pro 🔜 3T, Expected to be Fable-level
> GLM-5.5 🔜 Expected to beat Opus
Holy Moly
Every Western consultant who lands in Jakarta, Hanoi, or Bangkok eventually says the same sentence:
"This approach won't work here."
The sentence is correct. The diagnosis is backward. Asian organizations aren't the problem — the imported playbook is.
280 pages on what actually works here, free:
https://t.co/b2yUzAuBL7
The thesis of this book:
The banks that win the next decade won't be the ones with the smartest AI — they'll be the ones who decompose their monolith while keeping the lights on.
Strangler pattern, event mesh, MLOps, agent governance. 280 pages, free:
https://t.co/uUrk9PeVxu
Most people still prepare AI interviews like it’s 2018.
Reality in 2026:
→ Less “define transformer”
→ More “fix a slow RAG system”
→ More “design under cost constraints”
This handbook captures that shift really well:
https://t.co/6o2dZauzQn
AI Engineering is no longer about models.
It’s about systems. :contentReference[oaicite:0]{index=0}
Quote : Jensen Huang just explained why China is winning the technology race in two sentences. Huang: “Our country’s leaders… they’re mostly lawyers. Most of their leaders are incredible engineers.” One country sends engineers to lead. The other sends lawyers. One builds. The other regulates what was already built. Huang: “They showed up at precisely the time when technology is going through that exponential.” China did not stumble into the AI era. They arrived engineered for it. The education system produces engineers at a scale the West refuses to match. The competition is not tough. It is Darwinian. The culture rewards builders. Not commentators. Not consultants. Builders. Then the accelerant. Open source. When your talent pool runs that deep and that hungry, you do not hoard breakthroughs. You release them. The community multiplies everything. What costs American companies a quarter, Chinese teams finish in weeks. Not because they are smarter. Because the entire system points one direction. Zero friction between idea and execution. No committee. No review board. No eighteen-month compliance process. Then Huang said the part that should terrify Washington. Huang: “Their country was built out of poverty.” Comfort makes nations careful. Poverty makes nations relentless. When you built everything from nothing, you do not slow down to protect it. You accelerate because you still taste what nothing felt like. America built its dominance with engineers. The highways. The moon landing. The semiconductor. The internet. Then it handed the keys to the lawyers. Compliance departments. Regulatory bodies. Oversight committees. Review processes for the review processes. Every layer of protection is a layer of friction. And friction is a luxury you cannot afford when your competitor rides an exponential curve. Fridman: “It’s a builder nation.” Huang: “Yeah, it’s a builder nation.” No pushback. No qualifier. The West is not being outspent. It is being out-structured. Engineers ask how do we build this faster. Lawyers ask how do we build this without getting sued. One of those questions wins the century. The other writes a detailed report about why it lost.
Most people treat Hugging Face as a demo library.
It's actually an AI engineering stack.
📄 Download the handbook:
https://t.co/epexi0jgtE
Pipelines → fine-tuning → deployment mindset.
Built for people who actually ship models.