The AI chip squeeze, Dirty Soda mania, OCC approves Palmer Luckey’s Erebor | Diet TBPN

7 Feb 2026 · 30 min
Episode

7 Feb 2026 · 30 min

0:00

In this episode of Diet TBPN, hosts (Speaker A, Speaker B, and Tyler) riff on a wide‑ranging set of tech‑industry topics, weaving together market observations, insider interviews, and cultural side‑bars. The conversation opens with a framing of “bottlenecks” – whether the current limiting factor for AI growth is semiconductor capacity or energy supply – and quickly settles on chips as the immediate choke point. They cite recent interviews with Sam Altman, Dylan Patel, Sholto, Ben Thompson, and an Elon‑focused Cheeky Pint episode, using those soundbites to illustrate how industry leaders view the AI supply chain, from wafer fab construction (TSMC’s Arizona plant) to the ultra‑scarce EUV lithography tools supplied by ASML and its own sub‑supply chain. The hosts dissect hyperscaler capital‑expenditure forecasts, noting Amazon’s $200 B AI spend, Google’s $175‑185 B, Meta’s $115‑135 B, and Nvidia’s market reaction, while also highlighting the geopolitical risk of over‑reliance on TSMC. The dialogue then pivots to a lighter cultural beat: the rise of “Dirty Soda” – a Utah‑born trend of spiking sodas with cream and fruit purees popularized by Swig and amplified by celebrity Instagram posts. They discuss the business model’s scalability challenges, potential IPO, and the broader “Baja Blast”‑style branding arms race among fast‑food chains. Finally, the episode closes with a news flash about Palmer Luckey’s fintech venture Erebor receiving OCC approval to operate as a bank focused on startups and high‑net‑worth individuals, positioning itself as a “farmer’s bank for tech.” Throughout, the hosts sprinkle humor (white‑suit jokes, pint‑size optical‑illusion analysis) and policy‑oriented speculation, such as a tongue‑in‑cheek proposal to force every member of Congress to build a website in 30 minutes to experience AI‑augmented work. The episode blends technical deep‑dives, market‑level data, and pop‑culture anecdotes to give listeners a snapshot of the current AI‑driven economic landscape and its peripheral cultural ripples.

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