Grok 4 Wows, The Bitter Lesson, Elon's Third Party, AI Browsers, SCOTUS backs POTUS on RIFs

Travis Kalanick notes Apple's vertical integration keeps it a strong, trillion-dollar company despite missing the AI wave, but argues it must urgently ship a compelling AI device to stay competitive, otherwise it loses the product-level advantage that is its only path against compute-heavy rivals.

“It's still why like Apple, despite missing the AI wave, still a pretty good company from any empirical standpoint... the company's still alive and still worth trillions of dollars because it's vertically integrated.”▶ Listen · 44:52 ⚑

Keith Rabois argues Apple has missed every possible window on AI due to cultural and infrastructure challenges, its performance on the most important technology breakthrough in 70 years is 'absolutely miserable,' and buying Perplexity won't fix its structural AI deficit.

“Apple has missed every possible window on AI and continues to miss it. And it has cultural — I think the CEO has challenges. I think culturally they have challenges... the performance is absolutely miserable on the most important”▶ Listen · 55:02 ⚑

ChamathMixed

Chamath believes building a browser is a stupid capital allocation decision for Perplexity in 2025, and instead argues Perplexity's best path to a durable, high-value business is to replace Bloomberg in financial data and information, a $100B+ opportunity they are well-positioned to capture.

“Building a browser is an absolutely stupid capital allocation decision. Just totally stupid and unjustifiable in 2025. Specifically for Perplexity, I think their path to building a legacy business is to replace Bloomberg... I think it's”▶ Listen · 52:27 ⚑

Keith Rabois argues that absent a successful agentic browser pivot, Perplexity is toast as ChatGPT becomes the dominant consumer AI verb, though he acknowledges the Comet browser is a sensible Hail Mary attempt.

“I think absent something like this, Perplexity is toast. Like for the stat about ChatGPT going to a billion users, like it's becoming the verb... There's nothing left of perplexity if they can't pull this off.”▶ Listen · 48:47 ⚑

Keith Rabois argues there is a very short half-life on human-labeled data businesses like Scale AI, warning investors who backed them based purely on revenue traction failed to understand the structural obsolescence coming from machines that can label as well or better than humans.

“I think there's a very short half-life on human-labeled data. And so everybody who's investing in these companies, they're just looking at revenue traction, really didn't understand that there may be a year, 2 years, 3 years max when”▶ Listen · 30:18 ⚑

ChamathBearish

Chamath argues Meta's $15B bet on Scale AI is a bet on human-labeled data — exactly the approach the Bitter Lesson shows loses to general computation — implying Scale AI's business model has a very short half-life as synthetic data replaces human labeling.

“What has Llama been doing? They just spent $15 billion to buy 49% of Scale AI. That's exactly a bet on human knowledge.”▶ Listen · 23:20 ⚑

Keith Rabois argues that Grok 4's results show Meta's AI efforts have also missed the boat, and that despite massive spending, Zuckerberg needs to build an entirely new AI team to be competitive.

“Grok 4 shows that Mark really does need to spend money to build a whole new team because everything they've done in AI has also missed the boat.”▶ Listen · 55:48 ⚑

Keith Rabois argues Google Search is toast as AI takes over, and that Google's best hope to compete with ChatGPT is combining Chrome and Gemini into an agentic browser product — but warns that failure to do so means the company's most valuable assets have nothing to do with search.

“Google Search, cross-search is toast. And since they have Chrome and they theoretically have a quality team in Gemini, they should be putting these two things together... they're gonna lose the search game.”▶ Listen · 49:15 ⚑

Keith Rabois is mixed on OpenAI: acknowledges its product team is ahead and crushing, but argues it cannot compete on the factory/compute level and must ship a winning device to stay relevant, framing it as Apple+AI if it succeeds but structurally disadvantaged on infrastructure.

“OpenAI, for your point, they do have a good product team and they need to stay ahead on the product level because they can't compete on the factory level. The way to stay ahead of the product level is shipping a device.”▶ Listen · 45:08 ⚑

ChamathBullish

Chamath argues xAI's massive compute-first bet (Colossus) and adoption of the 'Bitter Lesson' approach — general computation over human-labeled data — has put Grok 4 decisively ahead of all rivals in under 2.5 years, with compounding advantages as successive models rely entirely on synthetic data.

“Starting in March of 2023, so we're talking about less than 2.5 years, what this team has accomplished and how far ahead they are of everybody else, as demonstrated by this.”▶ Listen · 20:50 ⚑