E167: Google's Woke AI disaster, Nvidia smashes earnings (again), Groq's LPU breakthrough & more
2024-02-23 spoken.md · speaker-labeled ▶ watch ← E166 all episodes E168 →
Every number here is replayed from score_events — the same ledger the pool ranks on. Decay is what the 114 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 E166
0 hit · 0 partial · 3 miss — windows that closed after 2024-02-16 and up to 2024-02-23, auto-scored against price data and never hand-set. verdict · R · α
| idea | verdict | R | α | closed |
|---|---|---|---|---|
| 🏛️ East Palestine forces rail safety re-regulation and operator liability | MISS | -13.3% | -37.8 | 2024-02-17 |
| 🏛️ The AI trust-and-safety layer is the next censorship war | MISS | -57.9% | -82.4 | 2024-02-17 |
| 📈 Zantac carcinogen cover-up becomes a pharma liability reckoning | MISS | -21.6% | -46.1 | 2024-02-17 |
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 (12 ideas)
ordered by how hard each idea moved · quotes are verbatim from the transcript, timestamps deep-link into the episode
Gemini refuses or falsifies answers on undisputed facts (black George Washington, 'diverse' founding fathers, no answer on IQ data or on Trump's or Biden's legal cases) because a diversity-and-inclusion tuning layer overrides the model, and Sacks' read is that this is not a rushed-launch accident but an accurate self-portrait of Google's monoculture - so the fix will be to make the bias subtler rather than remove it. The tradeable consequence is product quality rather than politics: an information-interpretation engine that will not answer straight loses consumer trust, users defect to whatever tells them the truth, and Google's culture makes it structurally slow to respond. Bearish Google's consumer AI and search franchise. Distinct from the 2023 trust-and-safety censorship debate, whose window closed six days before this episode aired.
This idea that Gemini turned out this way by accident or because they rushed it out, I don't really believe that. I believe that what happened is Gemini accurately reflects the biases of the people who created it ... I think they're simply going to dial down the bias to be less obvious.
Chamath's arithmetic off Nvidia's $22.1B quarter: at a 30-50% required return plus the costs needed to support it, that spend has to generate roughly $45B of downstream revenue, and nobody on the pod can name who earned it - today's AI apps are proofs of concept and toy demos run in sandboxes, not production code, so the buildout is big tech muscling vendors with idle balance-sheet cash rather than real product demand. Revenue can therefore keep compounding for two or three years while the multiple gets cut, exactly as Cisco's did once value migrated to the application layer; Chamath's ratio test is that a $4-5T Nvidia implies a $100T economy underneath it. Friedberg supplies the Oracle-server and low-end-networking analogues; Sacks takes the direct other side with the dark-fiber precedent - if you build it, the applications eventually get written.
The real question ultimately will be, does the initial cost of the infrastructure exceed the ultimate value that's going to be realized on the application layer? ... you could look at Cisco during the early days of the Internet build out, and everyone thought Cisco was the picks and shovels of the Internet, and they were going to make all the values go to Cisco. So we're kind of in that same phase right now with Nvidia
I think the revenue scale will continue for like the next two or three years probably for Nvidia. But the real question is what is the terminal value? ... People ultimately realized that the value was going to go to other parts of the stack, the application layer.
As it turns out, all that fiber eventually got used. The Internet went from, you know, dial up to broadband ... So I think that the history of these things is that the applications eventually get written. They get developed if you build the infrastructure to power them ... we're just at the beginning of a wave that's probably going to last at least a decade
in capitalism, when you over-earn for enough of a time, what happens is competitors decide to try to compete away your earnings ... In the case of Nvidia, what you're now starting to see is them over-earn in a very massive way. So the real question is who will step up to try to compete away those profits?
Right now, their market share is something like 91 percent. That's clearly going to come down, but their moat appears to be substantial. The Wall Street analysts I've been listening to think that in five years, they're still going to have 60-something percent market share.
What's happening in the war is that the Russians just took this city of Deikha, which basically totally refutes the whole stalemate narrative, as I've been saying for a while. It's not a stalemate. The Russians are winning ... Why do I think this is a big deal? Because if something like this happens, it could really expand the Ukraine War ... this could lead to a major escalation in the war.
eventually everyone will find something that they don't want or that they're not expecting, and they're going to say, I don't want to use this product anymore. And so it is actually an opportunity for many models to proliferate, for open source to win.
you now see developers stress testing us and finding that we are meaningfully, meaningfully faster and cheaper than any Nvidia solution, there's the potential here to be really disruptive ... So there's a lot of market cap for Groq to gain by just being able to produce these things at scale
Episode digest
written during extraction and stored in data/extractions/ep167.json — the auditable source of truth, including everything market-adjacent that did not earn a capture
Two threads carried the market content. On Nvidia's third straight blowout ($22.1B revenue, +265% y/y, +$247B market cap in a day), Chamath reran his rule-of-capitalism call - over-earning invites competition - and layered on a demand test: $22B of quarterly spend needs ~$45B of downstream revenue, today's AI apps are 'toy apps' run as demos, and Nvidia is Cisco 2000, where revenue compounds while the multiple gets cut as value migrates to the application layer. That is coined as a new idea; Sacks took the direct other side (dark fiber all got used, the applications always get written, a decade-long wave) and, notably, flipped off the merchant-silicon thesis he supported at E143, now arguing GPUs are far harder to commoditize than Cisco's boxes and Nvidia holds 60-something percent share in five years. Chamath's Groq segment (3,000 customers in three days, 'meaningfully faster and cheaper than any Nvidia solution') is a direct double-down on his own E160 inference-cost-collapse prediction and on the inference-cost-gate thesis - flagged as self-interested, he is Groq's seed investor. On Gemini's image scandal, the natural home (`ai-trust-safety-layer-bias-fight-2023`) died 2024-02-17, six days before air, so a fresh bearish-GOOGL idea was coined: Sacks says the bias is a self-portrait of Google's monoculture and will be made subtler rather than removed, Chamath and Friedberg both predict consumer defection. Chamath's fix - spend $60-100B/year licensing training data and be 'the truth teller' for a $10T market cap - lands as strong support on Jason's `training-data-owners-2024`, while Friedberg picked the opposite side of Chamath's own data-moat idea, arguing the open internet cannot be monopolized by paying third parties. Left in the digest as untradeable: the deep-tech-investing philosophy segment, Chamath's Perplexity-chips-away-at-Google aside, and Sacks' Moldova/Transnistria news (captured only as an oppose on the risk-premium-unwind idea, since he named no market).