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On Prakash's Grok 3 vs. DeepResearch comparison · Feb 2025
Cool
Side by side comparison OpenAI DeepResearch vs Grok 3 DeepSearch TLDR: Grok 3 hands down victory Query: Find me Settlers of Catan Cities and Knights, not 5-6 players and not Legend of Conquerors, price and delivery time, Northern California Speed: 🏆 Grok 3 - 84 seconds 160
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It won’t happen. People say all kinds of things in surveys. Watch what they do instead. And what they do is… use AI.
"People hate AI. AI is less popular than ICE, less popular than politicians" SemiAnalysis founder Dylan Patel @dylan522p predicts a real backlash wave: as AI spreads and gets blamed for broader social problems, large-scale protests could hit within months. "I think we'll see
Forget public conversations. People unload their inner lives - hopes, wishes, desires, anxieties and worries into their AI assistants. That data is way more sensitive & valuable than anything the govt could record publicly. We built our own panopticon and pay monthly for it.
Anthropic CEO Dario Amodei on AI and the Constitution: "It is not illegal to put cameras around everywhere in public space and record every conversation. It's a public space." "But today, the government couldn't record that all and make sense of it." With AI: you can map the
Isomorphic Labs just doubled AlphaFold's performance on drug design benchmarks. @owl_posting :"The field is already awash with many really good preclinical assets. The bottleneck is how well these work in patients." "That story has been told for ten years. It is not obviously Show more
The hosts' standing
AI:AM is hosted by Prakash Narayanan and Nathan Labenz, whose personal accounts are followed by Jeff Bezos (Amazon founder), Marc Andreessen (a16z founder), Garry Tan (Y Combinator President and CEO), Jack Clark (Anthropic co-founder), Jerry Tworek (OpenAI VP), and many of the founders, researchers, and investors setting the AI agenda.
When AI:AM publishes, the right people see it.
What we cover
There's a yawning gulf between the people inside the AI bubble and everyone else, and it's getting wider every week. The people with the most accurate picture of what's coming are structurally unable to describe it. Lab leaders can't speak candidly. Research stops getting published. Leaks go pseudonymous.
AI:AM is a live morning show built to close that gap — with the people who are actually building, funding, and shipping AI, on the record, in real time.
The hosts
Co-host
Prakash leans toward deployment — the economic upside, the operators shipping AI into the real economy. A finance operator turned AI builder: Stanford EE, investment banking, distressed debt and special situations across emerging Asia, ML credit scoring before the LLM era. 55,000 followers and 300M+ impressions on X.
@8teapi on X →
Co-host
Nathan leans toward AI research, safety, and the risks of rapid capability gains. Founded Waymark — featured in an OpenAI case study in 2023 — and participated in the GPT-4 Red Team. Now host of The Cognitive Revolution, one of the most technically substantive AI interview shows.
@labenz on X →Get the AI:AM briefing — top guests, top stories, and the day's most important AI moves. Delivered after every show. Free.
The fourth show of the relaunch week ran long on two arguments about where the next gains come from — the supervision layer above the model, and the software layer beneath the chip — bracketed by an opening and close about who actually pays for the buildout. Nathan Labenz opened on a night spent inside published chain-of-thought transcripts, ahead of an Apollo Research interview later the same day; Prakash Narayanan read out a National Republican Senatorial Committee memo warning AI companies that data centers have become an electoral liability in Ohio. Mitchell Troyanovsky, co-founder of Basis, explained why persuading accountants that AI works is no longer the problem, why token cost is a routing question rather than a price question, and how Behavior Specs supervise an eight-hour agent run by having a separate model read the finished trajectory against a written spec. Jay Dawani, co-founder and CEO of Lemurian Labs, argued that hand-written GPU kernels are the wrong abstraction now that memory and network bandwidth — not math — are the binding constraint, and that a compiler and runtime should be generating them instead. The close ran the numbers underneath all of it: the stacked gross margins that make a gigawatt data center possible, new Pew data showing under-30s have turned net-negative on AI, and what share of GPU-hour revenue an operator would have to hand back to a county to keep building.
Justin Uberti on OpenAI Realtime API, voice latency, telephony, and natural turn-taking, plus emergency AI with Jessica Jensen and Jeremy Greenberg.
The labs talk to each other. The funds talk to each other. We talk to both — live, on the record, before the news cycle has its take. The room is small. The work it produces is not.
Conversations air in real time on . The format is direct, time-sensitive, and designed for people already tracking the field.
We come prepared. Guests are pushed on the work, the numbers, and the trade-offs by hosts technical enough to ask the second question.
Founders, researchers, operators, investors. The people whose decisions actually move what gets built.
Episode notes and source links turn the live discussion into a useful briefing for people who do not have an hour.
