Peter Moore retweeted
That’s 10% of US GDP. And over half of all US capital spending (it’s mostly being spent here). Which is a lot.
$NVDA sees $3-4 trillion in datacenter capex before 2030.
That is an incredible number....maybe a tad optimistic.
Peter Moore retweeted
8K with SEC filed April 30. We are officially a kleptocracy.
An international trucking logistics firm is buying as much as $20 million worth of President Donald Trump’s crypto coins to influence the administration’s trade policy huffpost.com/entry/trump-coi…
Peter Moore retweeted
I’m playing everyone’s favorite party game: guess the Trump administration’s strategy. Like most of you, I have no inside information. But that’s what makes it fun. Here’s my best theory.
Some assumptions first:
1) They’re not crazy. There is a strategy. It doesn’t align with conventional economic principles. But there’s something they’re playing toward.
2) They’re not stupid. I know enough of the players involved to know they’re not idiots. They may be making what will turn out to be accurately predicted to be horrible decisions, but they do have a plan and it’s coherent. As part of this, while I think they think they can increase U.S. manufacturing, they don’t really believe they can bring everything on-shore.
3) They’re intentionally being opaque as to what the real plan is. Trump fashions himself a negotiator. Holding his cards close to his vest, even lying about what cards he has, is part of the game.
4) They’re not just in it for themselves. I get that this has become non-conventional wisdom, but I am going to assume for this that the goal isn’t merely grift. Even if you believe it is, suggest that’s an easy out to thinking through what may be more complex motivations.
5) China is the real enemy. China has done some things in the last two years that have made even the China doves in the last administration into hawks. Again, I know there’s lots of media saying Trump wants to kiss up to Xi. But, having spent enough time with enough folks in this and the last administration, they really worry about China morning, afternoon, and all night.
So with that context, I posit the strategy is entirely: destabilize and ultimately decapitate China.
If that’s right, you could just impose tariffs on China. But China has lots of export markets, so goods will just flow out through those. What if instead you impose tariffs on everyone?
While China and the U.S. have similar GDPs, China is much more dependent on exports. That means while the countries of the world like cheap Chinese exports, they don’t depend on the Chinese market for their exports (yet). China has actually been on a nationalistic spree recently so foreign brands are more out of favor, meaning they’re an even less interesting market to sell to.
The U.S., on the other hand, is the world largest buying market. We are the consumers to the world. If we stop buying, everyone suffers. That means nearly everyone needs to come to the table with the U.S. if there are universal tariffs.
The U.S. is also unique in that it is among the only countries that doesn’t need to import anything. Don’t get me wrong, we want to import iPhones and PlayStations and French wine and German cars. But we don’t need oil or food or water or most the other raw materials to make sure people stay alive.
So the U.S. will hurt under a high tariff regime but won’t collapse. Some manufacturing will move back on shore. But the biggest thing is every country needs to negotiate with the U.S.
What does the U.S. ask for? I’m sure a bunch of nits with every country. But what if the big ask is: it’s us or them. You either trade with the United States, or you trade with China, but trading with both isn’t acceptable anymore.
For some countries — Vietnam, Indonesia, Philippines — the promise is to be the next China, but this time under more careful rules dictated by the U.S.
For most the rest of the world, they’re already massive net importers from China. Forced to make a choice between selling to China or selling to the U.S. I’d guess most will pick the U.S. German automakers are terrified of BYD. And the Italians and French haven’t proven they can sell wine or cheese to China at any real volume.
What’s China’s response? It’s tricky because they’ve preached self-sufficiency and internal focus. But if the whole world order suddenly aligns against them, what do they do?
I have no idea if this is the Trump administration’s plan. But it’s the only thing I’ve come up with that passes the sniff test.
Peter Moore retweeted
Oh my goodness. GPT-o1 got a perfect score on my @CarnegieMellon undergraduate #math exam, taking less than a minute to solve each problem. I freshly design non-standard problems for all of my exams, and they are open-book, open-notes. (Problems included below, with links to GPT-o1's answers.)
While eating Pie in the afternoon, I showed the exam to one of our math Ph.D. students (a former International Mathematical Olympiad Gold Medalist from Belarus), and he said "Hmm. Non-Trivial. Good." Our undergraduate students are also very good. This exam was not easy for them, as the score distribution shows.
Today is the 2-year anniversary of the public release of GPT-4. Two years ago, it caught my eye because it exhibited sparks of insight, similar to what I would see when I talked to clever kids who learned quickly. That gave me the instinct and urgency to start warning people. Today's observation of GPT-o1 being able to ace my hard college exam, makes me feel like we're close to the tipping point of being able to do moderately-non-routine technical jobs. I was impressed by every student in my class who got a perfect score. The fastest such person took 30 minutes.
And GPT-o1 only costs $60 per million words output, which means that each problem cost about 5 cents to solve. A total of around 25 cents, for work that most people can't complete in 1 hour.
Problem 1: Consider the recurrence a_n = a_{n-1} + a_{n-2}, with the first initial condition being a_0 = 1. Find all real number values for the second initial condition a_1 such that lim_{n \rightarrow \infty} a_n = 0.
chatgpt.com/share/67d4d4bf-1…
Problem 2: Find coefficients such that the sequence a_n = n \sqrt{2} + 2^n \pi satisfies the following recurrence, for some initial conditions. You don't need to find the initial conditions.
a_k = ___ a_{k-1} + ___ a_{k-2} + ___ a_{k-3}
chatgpt.com/share/67d4d4fe-6…
Problem 3: Fill in the blanks. The middle entry of the result of:
[[0, 0, 1], [1, 0, 0], [2, 3, 4]]^n [[5], [6], [7]]
is the term a_n of this recurrence:
a_k = ___ a_{k-1} + ___ a_{k-2} + ___ a_{k-3}
a_0 = ___
a_1 = ___
a_2 = ___
chatgpt.com/share/67d4d61d-7…
Problem 4: Consider the recurrence with initial condition a_0 = 1, where for each n \in {1, 2, 3, ...}:
a_n = \sum_{k=0}^{n-1} a_k
Find the generating function f(z) = a_0 + a_1 z + a_2 z^2 + ..., which looks something like f(z) = (1-2z)/(1-z)
chatgpt.com/share/67d4d63c-1…
Problem 5: Prove that the coefficient of x^{2025} in (x + x^2)^0 + (x + x^2)^1 + ... + (x + x^2)^{2025} is a Fibonacci number
chatgpt.com/share/67d4d657-4…
My main work nowadays is to build and scale up a community of people (through education) to face the challenges of the AI age together. I thought I had more years. Now we have to move faster. – at Moon, PA
Peter Moore retweeted
Performing just 10 bodyweight squats every 45 minutes during an 8.5-hour workday outperforms a single 30-minute walk in regulating blood glucose
Why? Short bursts of intense muscle engagement trigger a stronger metabolic response than steady, low-intensity movement
The key player: Lactate—a powerful signaling molecule
It drives GLUT4 transporters to the cell surface, pulling glucose from the bloodstream into muscles
And the best part? This effect can last up to 48 hours
Peter Moore retweeted
I’m guessing this is the 1st 40% that Don just found under the White House couch cushions…
Peter Moore retweeted
A reliable way to boost cognitive functioning: Go to the gym.
383 studies: Exercise improves attention, memory, and information processing. It’s true across age groups and different types of workouts.
Physical activity is good for the mind. Moving sharpens thinking.
Peter Moore retweeted
Never before in my experience, has a market participant required this level of 2nd and 3rd order thinking to understand policy and economic data as they impact credit and equity markets. My advice is to stay level headed and unemotional. Be a fighter pilot not hysterical whatever your political inclinations.
Peter Moore retweeted
Lactate isn’t just a workout byproduct—it’s brain fuel
Sustained effort—pushing past 85% of your max heart rate—produces lactate, which is eagerly consumed by your brain
This triggers an increase in brain-derived neurotrophic factor (BDNF), a power catalyst for memory, neuron growth, and neuroplasticity
Studies show that even six minutes of intense cycling can increase BDNF levels by 4-5 times, enhancing cognitive function, protecting against cognitive decline, and reducing symptoms of anxiety and depression
By pushing your limits, you're not just strengthening muscles and improving cardiovascular fitness—you’re rewiring your brain
Peter Moore retweeted
Mashup w/some key actionable takeaways from the new Huberman Lab podcast on exercising specifically for brain health & performance. Available full length on @X (see pinned post @hubermanlab) & all other platforms (all zero cost). Enjoy!
Peter Moore retweeted
A super interesting slide from @BatteryVentures's latest report:
👉Start-ups are the most "overpriced" ever. Far more than 2021, in fact.
Why more "overpriced" than 2021?
Because while start-up valuations have stayed high, or even grown since 2021 for AI, YC and other hot categories -- public valuations are just 33% of what they were in 2021.
Net net, hot start-ups now are priced at 3.2x higher than the public comps.
That was only 1.8x in 2021. 2021 was nuts for start-ups, but public valuations were also 3x higher than today.
So net net, start-ups are far more expensive to invest in today than 2021.
We'll see how it shakes out.
If $2 Trillion of services revenue flows into software spend because of AI, it makes sense.
If the existing $300B of SaaS spend just gets reallocated, it probably doesn't make much sense.
Net net, the Unicorns of 2024 are far more expensive than the ones of 2021.
We knew that, and the data supports it.
Peter Moore retweeted
Great quote by Seth Klarman (Preface to the 7th edition of Security Analysis) on many value investors' insistence on “catalysts”:
“Not many want to buy a stock if the next few quarters look disappointing, since stocks that fail to beat Wall Street’s quarterly estimates are regularly thrashed. Even when short-term negatives have been more than fully baked into share prices, many hold back, waiting for obvious evidence of turnaround or recovery. In effect, they’d rather pay a higher price when the road ahead seems clear, even though by the time everyone can see what they see, the moment of greatest opportunity will have passed.”
Peter Moore retweeted
The most practical skill you can learn is working smarter. But here’s what nobody tells you about working smarter: it often looks like you’re working slower.
A programmer might spend 20 hours wrestling with a difficult algorithm, then have an insight in the shower that solves it in 10 lines of code. Those 20 hours weren’t wasted—they were necessary for the insight.
Most people never get past superficial engagement. They fragment their attention into smaller and smaller pieces — checking Slack every 6 minutes, switching tasks 40 times per hour, and treating their minds like a news feed instead of a supercomputer.
Working smarter often requires looking less productive in the short term. That marketing brief you spend three hours perfecting might look identical to one written in 30 minutes. But the thoroughness of your thinking will be reflected in every decision that follows.
Your first thought is what everyone else thinks. Your best thought comes after you’ve thought long enough to forget what everyone thinks. The difference between good and exceptional isn’t hours worked – it’s the depth of thought applied to the right problems.
Peter Moore retweeted
What you GET in life will never make you truly happy long-term. Who you BECOME and what you CONTRIBUTE — that’s where you’ll find happiness and fulfillment. 💪
Peter Moore retweeted
Lots of conversation / debate around GenAI, and if it'll shrink markets / create deflationary software forces (because you can do more with less). I really disagree with these takes for one main reason - GenAI will create an epic services-to-software rotation which will greatly INCREASE the size of software markets. I don't really think this is that controversial of a take
My favorite quantitative example that lays out how big some of these services markets can get comes from the Mulesoft S1 back in 2017:
"We estimate our current market opportunity to be $29 billion...Separately, Forrester estimates an additional $394 billion will be spent in 2017 on systems integration project work [services], which does not include the spending on custom-coded integrations by internal development teams."
A 14:1 ratio of services : software spend! And that leaves out all the spend on internal employees who are essentially "internal services." Many other markets have similar dynamics
Peter Moore retweeted
When I started Third Point in 1995 I was lucky to scrape together $3mm from friends and multiple family members. After graduating college I had 6 jobs from VC to the music business, a small risk arb shop, 3 man PE/advisory boutique, to Jefferies bond analyst/salesman, Citi bond sales. I got rejected from Harvard, Stanford and Wharton business schools before working at Jefferies. Also I hadn’t had a job in 9 months when they hired me a few months before my 30th bday. So I went from being unemployed to making good money in bond sales to starting my hedge fund in 4 years.
Of course I had some good luck along the way but you never know what direction life will take, you do have to keep going as cliché as that may sound.
🚨ELON MUSK: "I never originally intended to start a company. I tried to get a job at Netscape after graduating from Penn. Marc Andreessen is a friend of mine but they didn't respond to my resume that I mailed in. I thought 'I guess I'll just write some internet software' and wrote the first maps and directions on the internet in 1995.
It was just really because nobody would give me a job on the internet.
If they gave me a job, I guess I would have just worked at Netscape or something."
Peter Moore retweeted
🚨 JOINT SWORD 2024B BRIEF + MAP
- China launched a simulated blockade around Taiwan
- Deployed a fleet of 34 PLAN + CCG ships
- Carrier group practiced securing a key choke point
- 153 PLA aircraft detected, with 111 entering Taiwan’s ADIZ—the most ever recorded in a single day





























