Podbit · The a16z Show
Routing AI queries to the right specialized model — rather than defaulting every request to a frontier giant — could fundamentally redistribute revenue across the AI stack. A Stanford study found 70% of ChatGPT queries could be answered locally on a laptop. We're still in the first, simplistic phase of AI. The second phase is about routing, open source, and specialization.
Within a matter of days, the AI ecosystem saw Groq 4.5, Muse Spark, Inkling, Kimi K3, and Qwen all ship. Sriram Krishnan calls it a historic inflection: for the first time in months, the frontier labs no longer have a monopoly on top-tier model capability.
U.S. security researchers are using Kimi K3 for legitimate security work because Claude's refusals block them. A former White House AI advisor calls this 'a weird spot to be' — and a genuine national security concern.
Linus Torvalds said 'given enough eyes, all bugs are shallow.' Sriram Krishnan applies this to AI: open-weight models downloaded from Hugging Face can be inspected by the entire world, making them inherently more auditable than closed frontier models. Security through transparency, not obscurity.
Every AI model from the original GPT onward was trained by distilling human knowledge from the internet. The controversy around Chinese models distilling from American ones ignores the fact that distillation is foundational to how all models are built — the real issue is the asymmetric legal playing field.
After 18 months as the White House's Senior AI Policy Advisor, Sriram Krishnan is focusing on the mission he's been working on in different forms for years: ensuring America and its allies get access to AI at scale through better government-industry cooperation.
Pronto's autonomous mining technology has now surpassed human-level productivity. That milestone changes everything: once you can promise a gold mine CEO 20% more gold per year, and nobody has said no, the enterprise pilot-to-scale flywheel starts spinning on its own.
Autonomous mining stacks productivity gains in two ways: machines do more per hour, and hours lost to callouts, safety protocols, and shift scheduling collapse. Kalanick estimates 30–40% total productivity uplift. The end state is the 'no-entry mine' — no humans in the pit, just a remote control center.
Forget the App Store. Atoms is autonomously operating 2-million-pound trucks moving at 35 miles per hour through remote mines. This is the pitch Kalanick makes to Stanford CS grads: do you want a laptop job, or do you want to build something straight out of science fiction?
Kalanick isn't worried about robot doom — he's pragmatic. If you build something anti-human, you won't find customers, and you won't make it. He notes that today's AIs are almost pathologically eager to please. His safety model: keep the machine on the road and make something people love.
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