03-30-2026Price:

The Frontier

Your signal. Your price.

AI & TECH

Anthropic lobbies for restrictive AI rules while training a more powerful model

Monday, March 30, 2026 · from 2 podcasts
  • Anthropic’s lobbyists push rules requiring government approval for AI releases, favoring incumbents.
  • It built a $6B business by targeting enterprise IT budgets with coding-first models.
  • The firm confirmed a secret ‘Mythos’ model is its most powerful yet, trained for cyber and reasoning tasks.

Anthropic is working both sides of the AI power dynamic. On one side, it’s building the most capable models. On the other, it’s lobbying to make sure few others can follow.

David Sacks argued on *All-In* that Anthropic’s push for a “permissioning regime” in Washington is a classic play for regulatory capture. The rules it advocates would require labs to get government approval before releasing new models or selling chips, a hurdle only well-funded incumbents could clear.

This lobbying push runs parallel to its technical sprint. The company confirmed the existence of Claude Mythos, a model it calls a “step change” in performance, after details leaked from an unsecured database. Mythos is built for heavy-duty coding, academic reasoning, and cybersecurity.

David Sacks, All-In with Chamath, Jason, Sacks & Friedberg:

- Anthropic is sort of the most AGI-pilled of all the frontier labs.

- They made this bet on coding as their way to get to recursive self-improvement.

The coding bet is its commercial engine. By dominating developer tools and APIs, Anthropic reportedly added $6 billion to its annual run rate in a single month. Its new “Computer Use” feature moves the model from a chat interface to an autonomous desktop agent, embedding it deeper into enterprise workflows.

While Anthropic guards Mythos for security testing, OpenAI is retreating from consumer experiments. It shelved an “adult mode” after safety failures, consolidating around enterprise and coding to compete directly. OpenAI’s revenue is mostly consumer subscriptions; Anthropic’s is nearly all enterprise API usage.

Chamath Palihapitiya, All-In with Chamath, Jason, Sacks & Friedberg:

- OpenAI is three-quarters consumer subscriptions and a quarter API.

- Anthropic is almost the exact opposite.

The race is escalating toward a liquidity event. Rumors point to an Anthropic IPO as early as October, with Sam Altman wanting OpenAI to go public first. This financial pressure prioritizes moat-building - through both regulation and technical superiority - over open exploration.

Anthropic’s strategy is clear: advance the frontier, then lobby to fence it off. The result is a market where technical prowess and political influence compound, leaving little room for new entrants.

Entities Mentioned

AnthropicCompany
Claudemodel
OpenAItrending
TinkerTool

Source Intelligence

What each podcast actually said

Anthropic's Generational Run, OpenAI Panics, AI Moats, Meta Loses LawsuitsMar 27

  • David Sacks argues Anthropic made a calculated bet on coding for recursive self-improvement in AI models.
  • Sacks claims an AI model that can write its own code could theoretically build its own future.
  • Anthropic's "Computer Use" feature enables its LLM to navigate desktops like a human agent.
  • David Sacks accuses Anthropic of lobbying Washington for AI regulations to create a permissioning regime.
  • Sacks claims such a regime would require AI labs to seek government approval before releasing models or selling chips.
  • Sacks argues these proposed regulations would create moats that new AI startups cannot cross.
  • David Friedberg suggests Anthropic’s perceived political leanings attract left-leaning AI PhDs as a branding exercise.
  • Chamath Palihapitiya states OpenAI's revenue is three-quarters consumer subscriptions and one-quarter API.
  • OpenAI and Anthropic have distinct business models despite headlines of a head-to-head collapse.
  • OpenAI dominates the consumer user market, while Anthropic leads the developer workflow and enterprise API market.

Also from this episode:

Enterprise (1)
  • Anthropic prioritizes coding as its core competency to dominate enterprise AI budgets.
Startups (1)
  • Anthropic reportedly added $6 billion to its annual run rate in February alone.
Business (1)
  • Palihapitiya notes Anthropic's revenue model is almost the opposite, focusing on developers and enterprise APIs.

Anthropic Accidentally Revealed Their Most Powerful Model EverMar 27

  • Anthropic confirmed its Claude Mythos model is a step change in reasoning and coding performance over its current Opus tier.
  • Claude Mythos is currently limited to security researchers so Anthropic can map out its advanced cybersecurity risks before wider release.
  • Google's Gemini 3.1 Flash Live model enables continuous, real-time voice conversations, likely for a new version of Siri.
  • Google's new voice AI, deployed at Home Depot, handles complex product data like SKU codes far better than prior models.
  • OpenAI shelved its adult mode project after its age verification system showed a 12% failure rate.

Also from this episode:

Enterprise (1)
  • Shopify's Tinker app offers 100 free AI tools, aiming to lower adoption friction for small business owners.
Society (1)
  • Nathaniel Whittemore argues tools like Tinker help public AI acceptance by framing it as an income booster, not just a job threat.
Safety (1)
  • OpenAI advisors also warned of emotional dependency risks, leading the company to consolidate around coding and enterprise sales.
Startups (2)
  • Anthropic is reportedly eyeing an IPO as early as October, accelerating a race for public market liquidity with OpenAI.
  • Nathaniel Whittemore says this IPO race will force both Anthropic and OpenAI to prioritize profitable enterprise tools over experimental features.