Trump's First Week: Inauguration Recap, Executive Actions, TikTok, Stargate + Sacks is Back!
2025-01-25 spoken.md · speaker-labeled ▶ watch ← E211 all episodes E213 →
Every number here is replayed from score_events — the same ledger the pool ranks on. Decay is what the 123 ideas nobody mentioned gave up this week; it applies only when an episode is processed.
Tier crossings
conviction thresholds crossed by this episode — 65 / 45 / 15 · ideas born here show where they landed. why 65 isn't always green
Kill dates that landed since E211
2 hit · 3 partial · 1 miss — windows that closed after 2025-01-18 and up to 2025-01-25, auto-scored against price data and never hand-set. verdict · R · α
| idea | verdict | R | α | closed |
|---|---|---|---|---|
| ⚡ China's nuclear build gives it a cheap-electricity manufacturing edge | PARTIAL | +37.0% | -18.2 | 2025-01-20 |
| 📈 Boeing is rotting because a duopoly has no accountability | PARTIAL | +20.4% | -5.0 | 2025-01-19 |
| 📈 Microplastics evidence pushes beverages out of PET | MISS | -1.0% | -26.5 | 2025-01-19 |
| 📈 Regulatory certification makes sole-source aerospace suppliers pricing-power machines | HIT | +33.8% | +8.4 | 2025-01-19 |
| 📈 The churn treadmill breaks standalone streaming subscriptions | PARTIAL | +8.0% | -17.4 | 2025-01-19 |
| 🤖 The streaming churn war's only winners are Google and Meta | HIT | +34.4% | +8.9 | 2025-01-19 |
Who moved the board
each voice's force on conviction this episode — supports and opposes, weighted exactly as the replay applied them · share = % of this episode's movement
What got argued (18 ideas)
ordered by how hard each idea moved · quotes are verbatim from the transcript, timestamps deep-link into the episode
Chamath's explicit prediction off the TikTok 50%-for-a-dollar proposal: the US government stops handing out pure permits, grants and federal-land concessions and starts attaching equity stakes or royalties to them, so taxpayers share the upside of what the state enables — data centres permitted on federal land for a 5-15% royalty, DOE grants that also take 10% of the company. He argues it would not change the underwriting and becomes the template for how incentives get allocated. Thomas Laffont takes the other side: the government picking winners is dangerous and taxes are the proper value-capture mechanism.
So my prediction is that this becomes more of a template for the future. It'll be less about permitting. It'll be more about creating incentives and allocating those incentives for a share of the upside. And I think that there is a really strong economic argument for America to do that.
my way to put back to Chamath on that would be, I just think it's a dangerous game for the government to start picking winners. You know, I wouldn't, for example, if it owns 50% of a TikTok, does it disadvantage a meta, as an example, right?
So, you know, we expect and we think just the trend generally towards nuclear energy is going to continue. It's been proven in China. It's been proven in Europe. I think it will show to be a key part of the AI kind of arms race
I will tell you that there is a lot of capital, and we mentioned this last time, a lot of intellectual capital in the United States that's eager, hungry and ready to get moving on build out. The only thing that's challenged and the only thing that's holding it back is regulatory challenges, regulatory roadblocks.
Chamath's read of DeepSeek's MIT-licensed open-source release: a model that cost millions of dollars, runs on a laptop and matches OpenAI's o1 means the cost of frontier-class capability is falling precipitously, so spending more money no longer buys more progress. Capability decouples from capex, which undercuts both closed-lab pricing power and the compute bill assumed to be required to stay at the frontier.
But the point is that this model cost millions of dollars and was able to compete with a model that took billions of dollars to train. So my takeaway from that was that these costs are falling really precipitously. So that's sort of my one observation, is spending more money doesn't necessarily get you further along if the goal is progress.
The OpenAI/SoftBank/Oracle/MGX Stargate JV's headline $500B over four years is a political announcement rather than a technical or financial commitment: the capability it promises can be bought for a fraction of the number, so the announced scale never gets spent and never earns a return. Chamath calls the dollar figure a gimmick decoupled from what the buildout would actually achieve; Jason cannot see the ROI on $500B; Thomas Laffont takes the other side and argues the money is financeable data-centre by data-centre and the only real question is the return.
I think to me, the real question, guys, is, do we ultimately believe that you can get an ROI on that 500 billion? Because if you can, there will be people that will want to fund it, right? You can do a data center by data center, you can do it actually at the GPU level, right? So the financing is there. To me, the 500 billion doesn't scare me from an absolute number.
I think the spending money part, to be honest, is more of a gimmick than it is a technical commitment. So I guess if they want to spend the money, go ahead. ... So I kind of thought that these things were just joint. And so my takeaway was entirely different. It was not a commentary on Mosa or Larry or Sam. I think all of those three companies are frankly very good. It was more a comment that you have to be very careful to protect the president's legacy
If you think of the GPU as the atomic unit of the future, right, and the key competitive advantage and the key kind of ingredient, you can't power a GPU without a data center, and you can't use a data center without power. So I do think at the end of the day, it really comes down to the grid and it comes down to power. So I think that's kind of constraint number one.
But just today it looked like President Trump overturned it and now it's full seam ahead. If you have it permitted, then it's all about just get the power, however you need the power, which I think is the smart decision. Back to your earlier point, we are in a race here.
But if China, if one day China has 10 XR power capacity, it won't even matter, right? Because they'll just have so many more, whether they're not quite the same advanced GPUs or not, they'll just have so many more of them. Their industrial AI capacity will be so much larger that even if we have the best H100s and the latest technology that Jensen and others can provide, it won't matter.
I feel like Doge and cost cutting is going to be a lot harder to realize than folks assume. Nearly everyone I met with who works in government or is entering government had this, if not disdain for Doge, a concern that it doesn't really align interests with the political objectives of politicians, that they need to get more stuff for their constituents in order to get re-elected and that they're not going to vote programs away.
what they say is that folks that actually allocate the internal spending in the United States gets a lot more scrutiny because there's all of this horse trading because they want some of this money to get allocated into their specific area. It is going to be a very complicated thing.
You guys mentioned we do own some OpenAI. I am bullish on OpenAI, which I guess is now a counter against the grain kind of view. ... It really is a dominant kind of franchise, right? It is maintaining 80% plus market share.
I went to the CDC and I said, well, show me the percentage of people, Americans taking SSRIs over that same period. For depression, anxiety, et cetera, and what you see that it's also gone up. And then the last chart, I went to the US Bureau of Labor Statistics and I said, what has happened to the labor participation rate over the same period?
To me, it's more a reflection of, I could overlay the stock chart of, you know, Fox and Comcast and, you know, CBS and just have all of those have imploded. I think people have been kind of substituting right away.
The main thing it does is it forms an internal working group with the goal of making the US the world leader in crypto. ... And the members of this working group are going to be, there's me, there's the head of the SEC, the Secretary of the Treasury, and all the agencies and departments that have an interest in crypto.
we have new Gen 4 technologies that are meltdown proof, that have a totally different architecture where there isn't a setup, where you have runaway heat and ultimately a collapse of the reactor and a release of radioactive material, which is what happened at Chernobyl. These new systems, which we highlighted on the show a couple of months ago, like the Pebble Bed Reactor that's been in production making electricity in China, are incredible new technology architectures and they're here and they're running.
Yeah, the downside is the amount of time it takes to adequately build these things properly. The thing that China has had is, it's as Thomas' chart shows, is decades of practice in building things safely and quickly. We can build things, but we haven't had the practice to build them either safely or quickly because we haven't built any.
But I think you put it all together, you know, is 100 billion a reasonable scenario? ... And then could it be a trillion dollar asset, the way Trump has mentioned? I mean, in a world where Facebook's one and a half, right? And the penetration of TikTok in the US is 50% of what Metta is. I don't think it's unrealistic.
But at the end of the day, the president was very clear that it is completely and entirely worthless without his permit, and he wants to own 50% of this asset. Now, if you're a buyer of something, you're not going to pay $100 billion if you control whether it can exist or not. You're basically going to pay today's equivalent of one franc, which would be one dollar.
I do worry a lot about the precedent being set here with respect to foreign government actions on US companies in their local countries. Imagine the CCP tells Tesla they have to sell their Chinese operations and give 50% of the Chinese operations to the Chinese government because of their concerns about security
Episode digest
written during extraction and stored in data/extractions/ep212.json — the auditable source of truth, including everything market-adjacent that did not earn a capture
Trump's first week: 26 day-one executive orders, the 75-day TikTok reprieve, the $500B Stargate JV, the first DeepSeek reaction, and a Sacks cameo from the Oval Office. Coatue's Thomas Laffont guest-sits and is long both ByteDance and OpenAI (disclosed on-air); he marks TikTok US at ~$100B and calls a trillion 'not unrealistic', while Chamath predicts the government buys 50% for something close to one franc and generalizes it into a new prediction: Washington starts attaching equity and royalties to the permits, grants and federal land it hands out. Stargate got trashed on the numbers — Chamath calls the $500B a gimmick, Jason can't see the ROI, Laffont says the financing is trivially available and only the return is in question — and Chamath's DeepSeek note (an MIT-licensed model that runs on a laptop and matches o1 for millions instead of billions) is both a new cost-collapse idea and a direct hit on Gavin Baker's E206 export-controls thesis, which Laffont also opposes from the power side. Energy was the hardest-hitting segment: Friedberg and Laffont pound the grid-is-the-constraint case with China/US terawatt-hour charts, Friedberg says Gen-4 meltdown-proof reactors are already running in China and regulation is the only blocker (a straight oppose on his own crew's SMR-stalls idea), and Chamath supplies the counter that the US has lost the practice of building them safely or quickly. Friedberg is the bear on DOGE after a week in DC — nobody in government wants to vote away their own programs — while Jason thinks the Overton window has opened. Sacks describes the crypto, AI and PCAST EOs he'd just watched signed; his statements are flagged policy-adjacent and capped at strength 1.