10+ hours of podcasts, in 5 minutes.
7 quotes from 1 episode on No Priors, each with a timestamped link to the source.
Misha Laskin states that open-source AI is necessary for cybersecurity defense and warns that foreign open weights act as hardware traps. Stripping offensive code from public systems eliminates defensive capabilities and leaves companies vulnerable to attacks from closed models.
Nations adopting foreign AI models risk shifting their underlying hardware infrastructure away from domestic silicon over time.
“Maybe today allied country X might run a Chinese model on American chips…”
Current research into aligning model behavior remains an unappealing scientific pursuit without an elegant mathematical formula.
“The reality is that alignment so far, the science of alignment has been deeply boring and unsatisfying…”
Offensive and defensive cybersecurity tools share identical code. Misha Laskin notes that stripping out attack capabilities leaves organizations unable to defend themselves when powerful closed systems hack into their networks.
“When you remove cyber offensive capabilities, you also remove cyber defensive capabilities…”
“A very powerful closed model went and hacked into another company and the only way that company could remediate itself was by using open models to protect itself. That's the empirical evidence of the world that we're in.”
Nations releasing free public models design them to create long-term reliance on their domestic physical hardware. Misha Laskin calls these systems Trojan horses built to force foreign silicon adoption.
“Open models are Trojan horses for the infrastructure that they bring with them…”
“The state of the world today is that we have a few hundred safety researchers within closed labs that understand how these things work…”
“Ultimately the decision after some catastrophic failures on the closed side where effectively a small handful of engineers designed certain systems that had unintended consequences that they couldn't predict and got easily hacked effectively that strong encryption protocols became open…”
How we attribute quotes. Every quote was matched against the episode transcript, so the words and the timestamp are real (we trim filler words like "um", nothing else). The name comes from our written summary of the episode, and we use it only when a separate check of the captions finds that person on the episode. YouTube gives us no voice-by-voice transcript, so open the timestamp to hear who is talking. See a wrong name? Tell us and we fix or remove it.
10+ hours of podcasts, distilled into one 5-minute read. Free, every Sunday.
For now, every subscriber gets both newsletters. No spam. Unsubscribe with one click.