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.