Thinking Machines’ First AI Model, California Loses $3.2B to Texas, TSMC Adds $100B | Diet TBPN
Thinking Machines’ First AI Model, California Loses $3.2B to Texas, TSMC Adds $100B | Diet TBPN
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Note: AI-generated summary based on third-party content. Not financial advice. Read more.
Quick Insights

Investors should prioritize TSMC (TSM) as a dominant "picks and shovels" play following their $100 billion commitment to U.S. infrastructure, signaling massive long-term demand for AI hardware. The release of the Inkling model by Thinking Machines Lab marks a pivotal shift toward open-weight AI; investors should favor companies utilizing this "Red Hat" business model over closed-source "walled gardens." Disney (DIS) presents a complex valuation case, as its current market cap sits below the inflation-adjusted cost of its core acquisitions, suggesting the market is prioritizing operational efficiency over IP ownership. In the defense and manufacturing sectors, look for opportunities in Texas-based projects like Sironic, which are benefiting from "industrial flight" and faster regulatory approvals compared to California. Finally, watch for a transformation in the advertising sector as premium brands like Lexus move away from traditional spots toward deep, network-style integrations with top-tier digital creators.

Detailed Analysis

Thinking Machines Lab (TML)

Thinking Machines Lab, led by former OpenAI CTO Mira Murati, has released its first AI model called Inkling. This is an "open weights" model, meaning developers can modify it with their own data, positioning it as a competitor to closed-source giants like OpenAI and Anthropic.

  • Model Specs: Inkling has 975 billion total parameters, though only about 41 billion are active at any given time.
  • Strategic Positioning: The model is specifically designed to work with the Tinkr API, focusing on fine-tuning and customization rather than just being the "strongest" overall model.
  • Performance: Benchmarks place it as the best open-weight model outside of China, outperforming Nematron 3 Ultra and sitting between Kimi K2.5 and 2.6.
  • Distillation Controversy: There is debate regarding "distillation" (using data from other models to train). While TML admits to using some synthetic data from other models to bootstrap, supporters claim it is the first "pure" open frontier coding model.

Takeaways

  • Open Source Shift: Investors should watch the shift toward open-weight models. TML’s "Red Hat" business model (giving away the software but charging for integration/API services) provides a viable alternative to the "walled garden" approach of OpenAI.
  • Geopolitical Alignment: There is a growing demand for U.S.-based open-source models as businesses become wary of using Chinese models (like DeepSeek or Kimi) due to potential policy shifts or security concerns.
  • Fine-Tuning over Raw Power: The investment theme here is "utility." Instead of chasing the highest parameter count, TML is focusing on models that are "flexible enough to adapt" to specific enterprise needs.

TSMC (TSM)

Taiwan Semiconductor Manufacturing Company (TSMC) reported strong earnings and significantly increased its capital expenditure (CapEx) guidance.

  • US Expansion: The company pledged to invest an additional $100 billion in its Arizona fabrication plants (fabs).
  • Market Reaction: Despite strong results, the NASDAQ saw a slight dip as some investors expressed skepticism over the massive spending plans, fearing potential oversupply or "overspending" in the cyclical chip market.

Takeaways

  • Bullish Long-Term Outlook: TSMC’s massive investment signals high confidence in the long-term demand for AI-related hardware.
  • Infrastructure Play: For investors looking for "picks and shovels" in the AI race, TSMC remains the dominant player, cementing its position at the top of the global semiconductor supply chain.

Disney (DIS)

A discussion regarding Disney's historical acquisitions versus its current market valuation.

  • Acquisition Math: Disney spent roughly $129 billion (approx. $182 billion in today's dollars) to acquire Marvel, Star Wars, Pixar, ESPN, and Fox.
  • Market Cap Discrepancy: The entire company’s market cap currently sits around $169 billion, which is less than the inflation-adjusted cost of those major acquisitions.
  • Shareholder Returns: A key counter-argument mentioned is that Disney has returned roughly $70 billion to shareholders through dividends and buybacks over the years.

Takeaways

  • Valuation Skepticism: The discussion questions whether Disney's aggressive acquisition strategy was "accretive" (adding value) or "destructive" to the overall company value over the long term.
  • Efficiency Matters: While Disney owns the world's most valuable IP, its stock performance suggests that managing those assets profitably is currently a higher priority for the market than further expansion.

Investment Themes & Sector Insights

AI Model Training & "Distillation"

  • The "Whack-a-Mole" Game: Anthropic is reportedly shutting down millions of accounts per week to prevent "distillation" (competitors using their model outputs to train cheaper models).
  • Insight: This highlights a major risk for leading AI labs—their expensive research is being "leaked" or "stolen" via API outputs, allowing competitors to catch up quickly at a fraction of the cost.

Manufacturing & Geopolitics (Texas vs. California)

  • Sironic Shipyard Project: Defense startup Sironic moved a $3.2 billion automated shipyard project from California to Brownsville, Texas.
  • Reasoning: California's lengthy approval processes and environmental reviews were cited as the primary cause, while Texas offered a $1 million tax abatement and faster permitting.
  • Insight: There is a continuing trend of "industrial flight" from high-regulation states to states like Texas that offer expedited approvals for large-scale manufacturing and defense projects.

Creator Economy & Advertising

  • Lexus & Colin and Samir: A "first of its kind" deal where Lexus became the official car of a major YouTube creator duo.
  • Insight: This signals a shift from simple "mid-roll ads" to deep brand integrations. Investors in the media and advertising space should note that high-end brands are increasingly treating top-tier creators like traditional TV networks.
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Episode Description
Diet TBPN delivers the best of today’s TBPN episode in 30 minutes. TBPN is a live tech talk show hosted by John Coogan and Jordi Hays, streaming weekdays 11–2 PT on X and YouTube, with each episode posted to podcast platforms right after. Described by The New York Times as “Silicon Valley’s newest obsession,” the show has recently featured Mark Zuckerberg, Sam Altman, Mark Cuban, and Satya Nadella. TBPN is made possible by: Ramp - https://ramp.com Public - https://public.com Cisco - https://www.cisco.com Console - https://www.console.com CrowdStrike - https://www.crowdstrike.com Figma - https://www.figma.com MongoDB - https://www.mongodb.com NYSE - https://www.nyse.com Railway - https://railway.com Shopify - https://www.shopify.com/ Follow TBPN:  https://TBPN.com https://x.com/tbpn https://open.spotify.com/show/2L6WMqY3GUPCGBD0dX6p00?si=674252d53acf4231 https://podcasts.apple.com/us/podcast/technology-brothers/id1772360235 https://www.youtube.com/@TBPNLive
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By John Coogan & Jordi Hays

Technology's daily show (formerly the Technology Brothers Podcast). Streaming live on X and YouTube from 11 - 2 PM PST Monday - Friday. Available on X, Apple, Spotify, and YouTube.