TBPN Diet: Thinking Machines X Nvidia, Meta Acquires Moltbook, BYD Mulls F1
Hosts: John Coogan & Jordi Hays
Date: March 11, 2026
Running Time: ~30 minutes
Episode Overview
This episode of "Diet TBPN" delivers a rapid-fire breakdown of the latest in AI, big tech, and global motorsports. Key topics include a major Nvidia partnership with Miramurati’s Thinking Machines, Meta’s acquisition of the AI-driven social platform Moltbook, BYD’s ambitions for Formula 1, shifting AI research talent wars, and a viral New York Times human-vs-AI writing experiment. The hosts dive into both industry business moves and the cultural impact of today’s tech, blending sharp commentary with humor and insider scoops.
Key Discussion Points & Insights
1. Thinking Machines’ Big Win with Nvidia
[00:02–02:06, 17:32–19:42]
- News: Thinking Machines, previously “on the ropes” after losing half its co-founders, lands a multi-year partnership with Nvidia to deploy at least a gigawatt of top-tier GPU chips.
- Context: The company grew rapidly from 30 to 120 employees, with this deal signaling strong momentum despite high-profile departures.
- Business Dynamics:
- Discussion about whether this is an equity-for-chips deal—details remain unclear.
- Signals a shift towards deep integration between hardware and AI labs.
- Memorable Quote:
- “They are GPU richer. I don't know where the bar is for GPU rich or GPU poor is today, but they're one gigawatt richer after today.” —Tyler [00:34]
2. Meta Acquires Moltbook: Betting on Agent-Driven Social
[02:14–03:41, 20:56–27:32]
- Deal: Meta acquires Moltbook, a viral agent-based, Reddit-style social network. Founders Matt Schlitt and Ben Parr join Meta’s Superintelligence Lab (MSL).
- Context:
- Moltbook stood out for being built for AI agents; most interaction was in fact bot-driven.
- Hosts debate whether there’s real value in the product or if Meta’s acquiring for talent/IP.
- Discussion of recent “AI talent wars” and Meta’s aggressive ramp-up in its AI research staff.
- Possible “tuck-in” acquisition—Meta is known for these where the main value is bringing in creative leaders.
- Meta’s Strategy:
- “There might be some interesting interface between AI agents and social media. This is highly relevant. Meta seems logical.” —Tyler [02:31]
- “I’d be shocked if they keep Moltbook running for more than a handful of months... this just feels like hey, let's bring some people on board that are thinking about how bots will interact with humans on the Internet.” —Dennis [03:47]
- Product Vision:
- Anticipation that bots as products/features—not bugs—will proliferate social platforms.
- “Every social media executive should be planning for bots to be more of a feature... than they have been in the past.” —Dennis [23:58]
- Business Implication:
- Integration of Moltbook thought-leaders may help Meta bridge product/R&D gaps for future AI-driven social experiences.
3. AI Industry Pulse: Funding, Product Releases & Exec Moves
[01:42–06:49, 19:42–20:53]
- Fresh Funding:
- Yann Lecun’s new Advanced Machine Intelligence Labs raises a massive seed round.
- Recruiting platform Juice Box (YC ‘22) raises $80M Series B on an $850M valuation.
- Anthropic’s Claude Code Review:
- Feature launch: AI-based code review with costs scaling to $25 per review, depending on token usage.
- Commentary on shifting AI expense models and budget headaches for large orgs.
- Meta Superintelligence Labs:
- Debunking fake news that Alexander Wang is out at Meta; denials straight from Zuck and CTO Andrew Bosworth.
- The Neolab Boom:
- Trend of ex-OpenAI heavyweights founding or joining new AI labs slowing, but “stealth” projects exist.
- Meta and others continue to snap up loose talent from this pool.
4. BYD Considers Formula 1 Entry
[12:18–16:25]
- News: Chinese automaker BYD explores participating in top-shelf motorsport, including F1 and Le Mans.
- Analysis:
- Entering F1 could cost BYD $500M per season and would be a rare direct Chinese foray against Euro/US-dominated teams.
- Discussion touches on BYD’s “Build Your Dreams” branding and their ultra-high-speed EVs.
- “They should start a new race series... a specific racing circuit with terrible potholes that if you crash, it'll just destroy your car. So you have to jump at the right time.” —Tyler [13:22]
- Motorsport Green Image:
- F1’s new hybrid/battery regs called “emissions theater,” not truly impactful compared to the sport’s traveling emissions footprint.
5. Cultural Moment: AI’s Literary Ascendancy
[28:30–30:40]
- The New York Times Experiment:
- 86,000 readers take a blind test comparing human- and AI-written literary passages; 84% prefer the AI outputs.
- Hosts read and debate samples on air, with mixed success at “spotting the human.”
- “It’s over.” —Tyler (repeatedly) [28:48, 28:49]
- “I was just like, which one is actually the better writing? And it was AI all the way. Five for five.” —Tyler [30:29]
Notable Quotes & Moments
- On AI spending realities:
“In the age of compute requirements, you gotta spend money to make money in AI.” —Tyler [01:47] - On Meta’s reasoning for the Moltbook acquisition:
“This is just like, hey, let's bring some people on board that are... thinking about how bots are going to interact with other bots and humans on the Internet.” —Dennis [03:47] - On executive sentiment:
“The White House readies an executive order to weed out Anthropic. They are really pushing hard on this supply chain risk designation.” —Tyler [07:30] - On the future of bots in social:
“Bots have been a bug on social media. We’ve seen how they can be a feature.” —Dennis [23:58] - On the future of AI R&D at Meta:
“If you bring in two interesting product managers, they can say, ‘Oh, you’ve got a bunch of cool frontier models,’... Let's just go do some skunk work R&D so that when we launch the new AI models, we have a number of projects that we're experimenting with that sort of demonstrate the capabilities.” —Tyler [26:49] - On AI writing vs. humans:
“I was just like, which one is actually the better writing? And it was AI all the way. Five for five.” —Tyler [30:29]
Selected Timestamps for Important Segments
- Thinking Machines x Nvidia partnership: [00:02–02:06, 17:32–19:42]
- Meta/Moltbook deal & bots as social feature: [02:14–03:41, 20:56–27:32]
- BYD & Formula 1: [12:18–16:25]
- Claude/Anthropic product launch & costs: [04:16–06:49]
- NYT AI writing taste test segment: [28:30–30:40]
Episode Tone and Style
True to TBPN’s reputation, hosts blend sharp tech insights and industry analysis with a casual, humorous, and sometimes irreverent style. Tangents (e.g., Trump’s shoe game, “DJ Cows,” and the etymology of BYD/LG) add playful texture without detracting from the substance of the core discussion.
Summary
This packed “Diet TBPN” episode covers critical moves in AI and tech—from hard-to-fathom partnerships (Thinking Machines & Nvidia), to a philosophical shift in how social media integrates AI agents (Meta & Moltbook), and bold new ambitions for Chinese carmakers in motorsports. With running commentary on funding rounds, executive intrigue, and the culture war between human and AI creativity, this is a must-hear for anyone tracking the pulse of AI, Silicon Valley, and the ever-shifting tech landscape.
