All-In PodcastWhy Anthropic's best model is locked up despite a $30B ramp
Mythos scored so well on cyber offense that Anthropic delayed its release; a 100-day hardening window did not stop Claude Code from driving a $30B run rate.
At a glance
WHAT IT’S REALLY ABOUT
Anthropic’s security hold, agent wars, revenue explosion, and Iran ceasefire debate
- The hosts debate whether Anthropic withholding its Mythos model is responsible security practice or fear-based marketing, concluding the cyber-risk is plausible even if the presentation is theatrical.
- They unpack the OpenClaw cutoff controversy, framing it as a potential anti-competitive move (or rational repricing) as Anthropic launches first-party managed agents that compete directly with third-party agent frameworks.
- They analyze Anthropic’s reported ~$30B revenue run-rate surge as evidence that AI—especially coding/agentic workflows—has crossed a capability threshold with an enormous “TAM for intelligence,” while arguing about how soon profitability matters.
- They describe a “major vibe shift” where Anthropic appears to be executing sharply while OpenAI faces narrative and morale pressure, yet several speakers caution that the market is non-zero-sum and OpenAI/Meta/Google remain formidable.
- They review the Iran-war ceasefire and regional diplomacy, then argue over whether US involvement reflects Israeli influence versus US sovereign decision-making, emphasizing domestic political risk and Israel’s declining US favorability as a strategic concern.
IDEAS WORTH REMEMBERING
5 ideasFrontier coding gains translate directly into cyber offense and defense.
As models get better at code, they inevitably get better at finding and chaining vulnerabilities; the group expects a short window where defenders must patch legacy bugs before similar capabilities diffuse broadly (including via China/open source).
A pre-release “sandbox” period can be a pragmatic safety valve without a government moratorium.
Gerstner frames Anthropic’s 100-day coalition approach as industry-led hardening (Apple/Microsoft/Google/etc.) that preserves competitive momentum while reducing immediate exploit risk.
Anthropic’s safety announcements are perceived as partly credible and partly go-to-market muscle.
Sacks argues Anthropic has a pattern of headline-grabbing doom studies, but credits this cyber case as more logically grounded; Chamath calls it mostly theater, citing GPT-2-era precedent.
OpenClaw’s cutoff illustrates how platform owners can reshape markets via pricing and product cloning.
Forcing heavy users off flat-rate subscriptions and onto metered APIs can kneecap third-party agent frameworks; if first-party agents remain effectively “bundled” while competitors pay metered rates, it raises bundling/anti-competitive questions (depending on equivalence and market power).
Coding share today matters because agents likely depend on coding flywheels.
Sacks argues the leader in coding tokens may gain data-scale advantages that carry into agents, making “clean” competitive behavior important before regulators later scrutinize discriminatory pricing or tying.
WORDS WORTH SAVING
5 quotesAnthropic has proven that it's very good at two things. One is product releases. The second is scaring people.
— David Sacks
I think it's mostly theater.
— Chamath Palihapitiya
We have no choice but to treat it that way.
— David Sacks
It turns out that the TAM for intelligence is radically different than anything that we've seen before.
— Brad Gerstner
If you land the plane on those things... the market could really take off.
— Brad Gerstner
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