Price:

AI & TECH

Sacks cuts AI review to 30 days after industry revolt

Monday, June 8, 2026 · from 2 podcasts, 3 episodes
  • David Sacks intervened to slash mandatory government review of AI models from 90 to 30 days.
  • OpenAI's Codex adoption by non-technical workers triples that of developers, shifting work to parallel orchestration.
  • Microsoft pivots to 10x cost cuts for enterprises as Uber caps token spending at $1,500 monthly.

The Trump administration’s AI policy was rewritten in a late-night phone call. Hours before a scheduled signing ceremony, the president pulled the original draft after David Sacks, the White House AI czar, warned it would cede the technological race to China.

The final order, signed quietly on a Tuesday, mandates a voluntary 30-day safety review instead of the proposed 90-day window. It includes an explicit disclaimer prohibiting any mandatory government licensing or pre-clearance regime. On The AI Daily Brief, host Nathaniel Whittemore described the process as a chaotic negotiation, with the administration treating regulation like "eating its vegetables" - creating a paper trail for oversight while protecting tech interests.

"The final version cuts that window to 30 days and explicitly forbids the government from creating a mandatory licensing or permitting regime."

- Nathaniel Whittemore, The AI Daily Brief

The policy shift was triggered by Anthropic’s April announcement of its Mythos model, which the company deemed too dangerous for public release due to its skill in finding software vulnerabilities. Microsoft and JPMorgan Chase CEO Jamie Dimon then warned the White House, spurring Chief of Staff Susie Wiles and Treasury Secretary Scott Bessent to push for guardrails against potential cyberattacks.

Internally, the administration fractured. Libertarian advisors like Sacks clashed with pragmatists Wiles and Bessent, who viewed total lack of oversight as a political liability. After tech executives including Mark Zuckerberg and Marc Andreessen called Trump directly, he briefly canceled the signing. The compromise, granting the National Security Agency primary testing responsibility but no power to block a release, is a tactical retreat that leaves the door to future regulation ajar.

"The door to federal regulation is no longer locked."

- Trip Mickle, The Daily

While Washington negotiates, the enterprise landscape is shifting under a new constraint: cost. Microsoft’s new MAI models prioritize being ten times cheaper over winning raw performance benchmarks, targeting what CEO Satya Nadella calls a "token shortage." Companies like Uber are implementing hard caps, limiting employee token spending to $1,500 per month to manage the spiraling expense of agentic workloads.

Concurrently, OpenAI is redesigning knowledge work itself. Codex now has 5 million weekly active users, with non-technical employees adopting it three times faster than developers. Half of its users now run multiple tasks in parallel, orchestrating workstreams rather than executing them sequentially. New features like "Sites" turn reports into disposable web apps, a bet that interactive tools will become the standard for corporate coordination.

The executive order formalizes a voluntary handshake, but the underlying economic and technological forces are moving faster than any policy process.

Source Intelligence

- Deep dive into what was said in the episodes

Congressional Republicans Try a New Approach: Telling Trump NoJun 8

  • Trip Mickle reports that President Trump signed an executive order requiring AI companies to voluntarily share their models with the government for review about 30 days before public release.
  • Upon entering office, Trump signed an order repealing Biden-era AI safety rules, guided by venture capitalist and White House AI czar David Sacks. Sacks argued that AI is a geopolitical and economic race against China that requires minimal regulation.
  • The policy shift was triggered by Anthropic's April announcement of Mythos, an AI model skilled at detecting software vulnerabilities that the company deemed too dangerous for public release.
  • Microsoft and JPMorgan Chase CEO Jamie Dimon warned the administration after Mythos, with Treasury Secretary Scott Bessent and Chief of Staff Suzy Wiles fearing political fallout from a potential cyberattack.
  • An initial draft executive order proposed a 90-day government review window, but Trump canceled the signing ceremony after calls from tech executives like Mark Zuckerberg, Marc Andreessen, and David Sacks.
  • The final executive order, signed quietly on a Tuesday, reduced the review window to 30 days and explicitly prohibited mandatory government licensing or pre-clearance.
  • Populists on the right, led by Steve Bannon, and on the left, led by Bernie Sanders, advocate for heavier AI regulation. Bannon cites economic and moral risks, while Sanders proposes an AI development moratorium and a 50% public ownership stake in major AI companies.
  • More than three dozen pastors signed a letter with Steve Bannon urging Trump to regulate AI, citing concerns about AI companions damaging marriages and societal moral fabric.
  • OpenAI publicly encouraged Congress to adopt more rigorous AI rules days after the executive order, a shift for a company that had largely opposed regulation.
  • Trip Mickle notes that a third to more than half of current US GDP growth comes from AI and its buildout, a major economic argument against heavy regulation.

What OpenAI and Anthropic Think Happens Next With AIJun 5

  • Nathaniel Whittemore says Trump's AI executive order evolved from mandating 90-day pre-release government access to a voluntary 30-day process, with NSA assigned primary testing responsibility.
  • David Saxs intervened to stop the initial executive order, arguing it would hinder US AI competitiveness against China. The final version includes a disclaimer prohibiting mandatory government licensing or pre-clearance regimes.
  • Dean Ball calls the executive order a major win for AI safety advocates within the administration and a significant loss for accelerationists like Saxs, arguing it tees up infrastructure for future mandatory licensing.
  • Anthropic expanded Project Glasswing access to its Mythos model, adding 150 partners across 15 countries including energy, water, communications, healthcare, and hardware sectors vulnerable to catastrophic cyber attacks.
  • Anthropic walked back its timeline for general Mythos access, stating robust safeguards preventing cyber capability misuse don't exist yet. Current testers find the model powerful but prohibitively expensive, with Anthropic subsidizing costs.
  • OpenAI reports Codex now has 5 million weekly active users, with non-technical knowledge workers adopting it three times faster than developers. The platform sees users shifting from sequential to parallel task execution.
  • OpenAI identifies three knowledge work frictions: finding inputs across opaque systems, information coordination costs, and approval delays. A McKinsey study found workers spend over 25% of their week on email and nearly 20% searching for internal information.
  • OpenAI's new Codex features include annotations for precise document interaction, role-specific plugins bundling apps and skills for six functions, and Sites for turning artifacts into shareable web apps.
  • Uber implemented a $1,500 monthly token spending cap per employee, highlighting cost management as a critical vector in enterprise AI adoption amid the broader shift from subsidy to scarcity economics.
  • Microsoft released seven new AI models including MAI Thinking One, a 1-trillion parameter MoE model positioned between Sonnet 4.6 and Opus 4.6. Mustafa Suleyman claims it outperformed GPT-4.5 on quality while being 10x lower cost for McKinsey tasks.
  • Microsoft's strategy focuses on Frontier Tuning for company-specific agents, with CEO Satya Nadella advocating for enterprises to move from consuming frontier models to participating in the frontier ecosystem via cost-optimized proprietary models.

The Next Wave of Enterprise AIJun 3

  • President Trump's recent AI executive order requires companies to voluntarily share advanced models with the government 30 days before public release, a reduction from the draft's 90-day period. The NSA is tasked with primary testing.
  • David Sachs intervened to stop the initial executive order signing. He later clarified the policy only targets models with a meaningful step change in cyber capabilities, like Anthropic's Mythos, not incremental updates.
  • The executive order expressly prohibits creating a mandatory government licensing or preclearance regime for AI models, a direct response to critiques of a de facto licensing system.
  • Anthropic expanded Project Glasswing, granting 150 new partners across 15 countries access to its Mythos model. The rollout now includes energy, water, communications, healthcare, and computer hardware sectors.
  • Anthropic stated robust safeguards to prevent misuse of Mythos's cyber capabilities do not yet exist, walking back earlier promises of a near-term public release. Testers find the model powerful but extremely expensive.
  • OpenAI's Codex hit 5 million weekly active users, with non-technical knowledge workers adopting it three times faster than developers. 72% of its knowledge worker users produce an artifact weekly.
  • OpenAI's report identifies three core frictions in knowledge work: finding inputs across systems, information coordination costs, and approvals. It argues Codex acts as a factory redesign to address these.
  • About 50% of Codex users now run multiple tasks in parallel during the day, a shift from sequential use that lets a single worker operate at the scale of a small team by orchestrating workstreams.
  • OpenAI's Codex update introduced annotations for precise document interaction, role-specific plugins bundling apps and skills for six functions, and a Sites feature to turn artifacts into shareable web apps.