Texas is becoming the center of the AI power race as $CIFR, $CORZ, $GLXY, $HUT, $IREN and $RIOT stack up HPC capacity across the state.
Now the race is who can turn those megawatts into AI revenue first.
What in the blazes...
Peter Thiel’s reported portfolio is basically 30% $AMZN and the rest energy.
Keep in mind, Thiel Macro reported no holdings in Q4 or Q1. Now its reported portfolio is roughly $419M:
$AMZN Amazon - 28.2%
$VIST Vista Energy - 18.1%
$VST Vistra - 14.1%
$AEP American Electric Power - 10.1%
$DTE DTE Energy - 9.6%
$FE FirstEnergy - 9.5%
$CMS CMS Energy - 9.4%
$XE X-energy - 0.9%
Outside of Amazon, roughly 71% of the entire reported portfolio is concentrated in energy and power.
But if his net worth is actually $32B, then this isn’t a whole lot for him.
Gavin Baker on his first Nvidia share: "I was a very young analyst at Fidelity of the year 2000, Nvidia was less than a billion dollar market cap - then the NASDAQ went down 80 or 85% - and Nvidia was still an incredible stock"
this is him on being one of Nvidia's earliest investors - and the CEO Huang who set his standard
"people still ask - are their chips really that far ahead of Google's? that's not the moat - it's not the chips, it's the system - and the software"
"I had never met anyone like Jensen - I feel very lucky that as a young man I met him - and he became my template for what an exceptional CEO looks like"
"Voodoo and 3DFX were the big gorilla, and Nvidia put them out of business - bought their IP, took over their 100 best engineers"
and the line he doesn't hedge: "there would be no AI revolution without Nvidia"
bookmark & watch today - then read article ↓
1/2 Thanks Gavin for an especially thoughtful exchange. I don't usually spend much time on social media but I wanted to engage here because it really brings out the heart of an important conversation.
First, on regulation, I think that “either concentrate it in the hands of a chosen few companies and politicians via regulation or distribute it widely” is a false choice. I know that there’s a sort of Silicon Valley shorthand where regulation = regulatory capture = concentration of power, but I’ve always found this to be an overly simplified picture of the world. Many people outside this bubble think of regulation as something that constrains corporate power and benefits ordinary people. I don’t necessarily agree with that perspective either, rather I think it’s complicated and really depends on what the “regulation” consists of. But in particular I think that those in the “regulation = regulatory capture = concentration of power” frame often underrate the decentralizing power of objective and fair institutional processes. A crude analogy is that the formal court system can sometimes feel stuffy and elitist, but it does a much better job of defending the rights of vulnerable individuals than the alternative, mob justice. At their best, institutions can vest power in ideas rather than people, and thereby decentralize that power.
This is why Anthropic has always made its policy proposals very carefully. We try very hard to make proposals that disadvantage (slow down) frontier AI companies while *advantaging* smaller competitors. California’s SB53 (which we supported), and even the much-maligned SB 1047 (which we were ambivalent on), completely exempt any company below a certain amount of revenue or model training costs from being covered at all (it was $500M for SB 53, lower for 1047 but we objected to that). More recently the testing process we’ve advocated for at CAISI and the White House involves more rigorous tests for frontier models than off-frontier models — something that differentially advantages challengers. Similarly, the “Pacing the Frontier” letter envisions (or at least Anthropic’s preferred implementation of it envisions) modulating the pace of the very best models while not constraining those who are catching up. This hurts the business interests of the frontier labs and helps challengers, including open-weights!
Overall my view is that AI is *structurally* a technology that tends to concentrate power, for reasons that have nothing to do with regulation (more to do with the extreme implications of the scaling laws). Open-weights do help some with this but are nowhere near a sufficient solution because they simply shift the concentration somewhat to those with the most compute and chips (which are roughly the frontier labs plus maybe hardware providers). By contrast I think the right “rules of the road” can simultaneously (a) address AI’s cyber/bio/alignment risks, (b) institutionally constrain the power of the frontier AI companies, and (c) leave room for open-weights models while also addressing the specific risks that they bring.
BTW I do not think that the events of the last few months have “failed to result in [my] preferred regulatory path”. The approach that the Trump administration is reported to be taking — pre-deployment testing for frontier models, and also testing of open-weights models when they get closer to the frontier — is one that I am very supportive of, though of course I have to see the details to be sure. I am also supportive of Demis Hassabis’ ideas around a FINRA-like entity. This contrasts with six months ago when most of the industry was still pushing for preemption of all state regulation and no apparent federal approach either.
@_sholtodouglas Sholto, thank you for setting the record straight. Larger issue is that multiple very serious people in Silicon Valley have heard some variation of this and believe it to be true. And the reason it is believable to so many is that it is consistent with Dario’s public messaging
BREAKING: Inside AppLovin's $100B+ Ad Engine
Co-Founder & CEO Adam Foroughi
CTO Giovanni Ge
FULL INTERVIEW
AppLovin is one of the most efficient companies in public markets at ~400 people. Approaching $7B in EBITDA. That's ~$17M per employee, roughly 3x the revenue per head
President Trump just ordered the Secretary of War to build a fifth public US Navy shipyard, the first new one in over 80 years
Here are the stocks tied to America's naval shipbuilding buildout:
$HII: Huntington Ingalls Industries
*The only shipbuilder in America that builds nuclear-powered aircraft carriers, and builds submarines alongside General Dynamics
$GD: General Dynamics
*Builds every nuclear-powered submarine in the US Navy alongside Huntington Ingalls, the exact fleet the new yard's dry docks are sized for
$BWXT: BWX Technologies
*Builds the nuclear reactors that go inside every submarine and aircraft carrier the Navy owns
$J: Jacobs Solutions
*Already under contract building and modernizing the Navy's existing public shipyards, the same job a fifth yard would need done
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