Stacked Podcast · 2026-08-08 · 29 min
OpenAI has delayed Astra again, and this time the reason is its own safety framework: the model reportedly crossed the "high" cybersecurity threshold, meaning it can identify and develop functional zero-day exploits. Nick and Jack dig into what that actually means. Is Astra genuinely too dangerous to release, or has "too dangerous to ship" quietly become investor bait? They trace the pattern back to GPT-2 in 2019, when OpenAI staged the release of a model that now looks like a tadpole, and ask why the same playbook keeps working. From there: the misalignment risk labs are reluctant to talk about publicly, whether a smarter model breaking containment is actually a hallmark of capability, and the concrete failure modes worth worrying about, from hacking financial infrastructure to AI-designed viruses. Also in this episode: Opus 5 quietly taking the number one spot on design arena while everyone dunks on it, ByteDance reportedly pre-training a 10 trillion parameter model, staged Silicon Valley launch videos, which harnesses Nick and Jack actually use day to day, and a Q&A on winning the day when outreach isn't converting yet.
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