[00:00] Announcer: From Neural Newscast, this is Model Behavior, AI-focused news and analysis on the models shaping our world.
[00:10] Nina Park: I'm Nina Park. Welcome to Model Behavior.
[00:15] Nina Park: Here, we examine how AI systems are built, deployed, and operated within professional environments.
[00:22] Thatcher Collins: I'm Thatcher Collins. Today is Tuesday, March 3rd, 2026. We are tracking a significant shift in
[00:29] Thatcher Collins: federal AI policy following the administration's decision to blacklist anthropic from government
[00:35] Nina Park: contracts. Joining us is Chad Thompson, a security leader with a systems-leveled perspective
[00:41] Nina Park: on enterprise risk and operational resilience. Chad, it's good to have you here.
[00:45] Thatcher Collins: Thanks, Nina.
[00:46] Thatcher Collins: It is a highly unusual moment to see a major domestic provider labeled as a supply chain risk based on their terms of service.
[00:57] Thatcher Collins: Chad, looking at the designation from Secretary Hegseth, he describes anthropic as incompatible with American principles.
[01:05] Thatcher Collins: From a risk perspective, how does this impact the broader market?
[01:09] Thatcher Collins: It creates an immediate compliance burden.
[01:14] Thatcher Collins: Government contractors now have a six-month window to off-board clod.
[01:20] Thatcher Collins: Meanwhile, OpenAI appears to be filling that gap with their new Pentagon agreement.
[01:25] Nina Park: OpenAI maintains their deal preserves safety guardrails, Thatcher,
[01:30] Nina Park: but reporting from The Verge suggests they have agreed to any lawful use,
[01:36] Nina Park: which historically includes bulk surveillance.
[01:39] Thatcher Collins: It is a notable pivot.
[01:42] Thatcher Collins: While that policy debate continues, we're seeing a technical breakthrough in research.
[01:48] Thatcher Collins: Scientists recently reported compressing an AI vision model by a factor of 1,000.
[01:55] Nina Park: This was published in the journal Nature.
[01:58] Nina Park: Researchers use data from macaque monkeys, specifically V4 neurons that respond to curves and textures,
[02:06] Nina Park: to shrink a 60 million variable model down to just 10,000.
[02:11] Chad Thompson: Nina.
[02:12] Chad Thompson: 10,000 variables is remarkably small.
[02:16] Chad Thompson: I wonder if that efficiency comes at the cost of generalization,
[02:20] Chad Thompson: even if it performs well on those specific primate-inspired visual tasks.
[02:25] Nina Park: The researchers suggest this could allow self-driving systems
[02:29] Nina Park: to operate on significantly less power.
[02:32] Nina Park: Meanwhile, Goldman Sachs released data showing that while macro productivity is steady,
[02:37] Nina Park: Specific tasks like coding and customer support are seeing 30% gains.
[02:43] Thatcher Collins: That aligns with the Google Pixel update released today.
[02:46] Thatcher Collins: Gemini can now manage groceries and ride booking in the background.
[02:50] Thatcher Collins: The automation is becoming much more granular.
[02:53] Nina Park: Thank you for listening to Model Behavior, mb.neuralnewscast.com.
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[03:07] Announcer: This has been Model Behavior on Neural Newscast.
[03:10] Announcer: Examining the systems behind the story.
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