Best Tesla Semi Q&A with real trucker questions.
You know your messaging has gone off the rails when you're being lampooned like this:
OK, my last All-In Summit summary (see previous posts for more), took place yesterday but I’m just getting around to posting it now: Jensen Huang, Nvidia CEO.
Standing ovation for Jensen. Everyone loves him.
Was immediately asked about Dario’s essay. Jensen says it contains a false choice: Safety or creating frontier tech. You can do both at the same time.
He also ridiculed the 10% prediction of humanity apocalypse saying it wasn’t grounded in science. It’s a made up number. He said saying things like that is very irresponsible.
He gave a bunch of examples of wrong AI predictions: Radiologists out of work, 100% wrong. By now, 90% of code to be generated by AI, also wrong. 50% of entry job to be wiped out, wrong.
Jensen said that frontier labs must take accountability for all these stupid predictions.
Regulations should solve actual problems. Frontier labs are where the dangers come from since they have the most compute. So he called on them to just dig into details and get engineering & processes done better.
RSI (recursive self improvement) is the newest boogieman. He doesn’t believe AIs will spiral out of control. In general, he gave a very grounded engineering perspective.
Jensen talking up their acquisition of Hugging Face. He gave this statistic: $400B of VC money has gone into AI native companies last 6 months, 80% of which use open models.
With respect to competing with China. He made the observation that the last Industrial Revolution in the 1700/1800s all came from European inventions, but Americans did a better job of exploiting them. The analogy is that even if China makes great open source models, and eventually leading process node chips, the US should be able to exploit AI better than China.
Jensen definitely sees AI as a new Industrial Revolution.
He said that Nvidia will go up as far they need to in the technology stack, but stay as low as possible. The rest of industry should do the AI end user and business applications.
Will Nvidia develop frontier models? He said they already have five frontier models, but they are specialized. He cited Alpamayo for self driving cars and ESM-2 for protein folding.
When specifically asked whether Nvidia chips could be manufactured at Tesla/SpaceX’s Terafab, he sidestepped and said you can’t discourage Elon from doing anything.
He predicted that China will have advanced lithography by 2030.
With regard to super intelligence, he stated that we’re already there if you look at narrow AI (eg. self driving cars and protein folding).
Finally, on AI doomers, he commented that if you’re under 35 you’re likely to be a doomer, over 35, far less likely and he postulated that older people have just lived through so many “this time it’s different, the end of the world really is coming” busted narratives.
Show more
More All-In Summit. Jensen was on stage talking when his assistant frantically waved at him to take a call. “Uh oh!” He said. It was Trump wanting to evangelize his own take on AI safety, which Jensen agreed with.
They fumbled a bit getting Trump on the audience speakers and this was the rest of the call.
Show more
All-In-Summit 2nd speaker: Dina Powell McCormick president and vice chair Meta.
Gave impassioned (and correct) defense of data center buildout showcasing how it has revitalized Richland Parish, Louisiana when they started their data center project there 20 months ago. Average salary there was $38K before the $20B data center build out project. Needless to say it has revitalized the economy.
They just announced $50K bonuses for their teachers. They now have tons of inbound of the best teachers in the State wanting to work there.
Louisiana is now courting data center builders from around the country to build in the State using Meta’s Richland Parish deal as the template.
Water, of course, has been a nonissue. The data center uses less water than the farms that previously existed there used. Meta paid for its own electricity generation, storm mitigation upgrades, etc.
Meta also touted their Workforce Academy training program for data center techs of all kinds. It’s been so successful that other companies like GM are wondering how they can get involved.
JCal asks about Facebook lawsuit settlementment. 52 attorney generals agreement. Facebook now shuts off after 2 hours for children under 18. Wants YouTube and TikTok to join.
Meta Glass, what’s the sticky use? Conversation focus is a big one. In a crowd, when you look at someone, the speakers will enhance that conversation and mute others. I could have used that yesterday on the shuttle bus when talking to an Aussie on a very noisy and crowded shuttle bus.
Show more
All-In Summit: First speaker, Satya Nadella, Microsoft CEO.
On pausing AI: We should always endeavor to have humans in control. But recognize that we are growing intelligence that we really don’t understand fully, not building it. So you need competent devops to monitor/control it. Yes to third party testing. Wants broad diffusion of AI tech.
Denigrates the 10% chance humanity gets wiped out, saying if you see a show stopper, just stop the show. So just develop responsibly.
Already sees massive model capability overhang. Models are great already, but we haven’t made enough use of what we have. Still need to drive more business/consumer use.
Wants KV cache standards so that you can share it among many different AI model families operating together.
Frontier labs facing token compression price: applications will become much more viable economically.
Show more
"The cyber attack seems like a very possible scenario because it's a way for the banks to absolve themselves of any role in a financial crisis."
Pretty scary and more than likely when you think about it.
Show more
Local-first policy, evidence, memory, and recovery for CLI agents.
10 AI Trading GitHub Repos You Should Have on Your Radar:
TradingAgents
Multi-agent trading firm with analysts, researchers, risk managers, and a portfolio manager.
AI Hedge Fund
Investor-inspired agents debating valuation, sentiment, fundamentals, and risk.
FinRL-X
AI-native infrastructure for data, strategy development, backtesting, risk and execution.
Qlib
Microsoft’s platform for ML-based quantitative research and production workflows.
RD-Agent
Multi-agent factor discovery and model optimization for quantitative research.
FinGPT
Open-source financial language models, datasets and sentiment pipelines.
FinRobot
LLM agent platform for financial analysis, research reports and strategy workflows.
AI-Trader
An agent-native platform where AI agents can generate and exchange trading signals.
Agentic Trading Lab
Traceable experiments, backtests, paper trading, and decision logs for LLM agents.
TradingGoose
Multi-agent research and portfolio analysis built around market-moving events.
The opportunity is not asking an LLM whether to buy a stock.
It is building a measurable loop:
>data
>hypothesis
>signal
>sizing
>execution
>evaluation
>memory
Treat these as research infrastructure, not plug-and-profit bots.
Save the list. Fork the systems. Verify every result.
Show more