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Anthropic's $30B Ramp, Mythos Doomsday, OpenClaw Ankled, Iran War Ceasefire, Israel's Influence

Anthropic's revenue is scaling faster than any technology company in history — from zero to a $30 billion annualized run rate in two years — while simultaneously withholding its newest model, Mythos, claiming it could expose decades-old vulnerabilities across the global internet. Meanwhile, the company appears to be systematically cloning and then cutting off oxygen to OpenClaw, the open-source agent that ignited the coding boom. Is this defensive caution or a masterclass in competitive maneuver? And as Trump negotiates a ceasefire in the Iran war, a broader question looms: is American foreign policy being shaped too heavily by external pressures, and can Silicon Valley's trust in market forces hold as AGI thresholds loom?

Durée de la vidéo : 1:29:17·Publié 10 avr. 2026·Langue de la vidéo : English
7–8 min de lecture·16,934 mots prononcésrésumé en 1,470 mots (12x)·

1

Points clés

1

Anthropic's revenue hit a $30 billion annualized run rate in under two years, the fastest enterprise software scaling event in history, proving that demand for near-AGI coding intelligence is effectively infinite.

2

The company's decision to withhold Mythos and coordinate a 100-day sandboxing period with 40 tech giants demonstrates that the AI industry can self-regulate on safety without needing heavy-handed government intervention.

3

Anthropic's move to cut off OpenClaw's subsidized API access while simultaneously releasing a competing agent product raises serious questions about anti-competitive bundling and whether dominant market share in coding tokens creates unfair leverage.

4

Open-source AI models, including crypto-incentivized training projects like Bit Tensor's subnet 62, are rapidly closing the capability gap and could disrupt frontier model monopolies within months, not years.

5

The two-week Iran ceasefire brokered by Trump suggests the administration is avoiding prolonged entanglement, but the episode has reignited debate over whether Israel's influence on U.S. foreign policy has grown too large, risking bipartisan coalition fractures.

En bref

Anthropic is executing the fastest revenue ramp in tech history while proving that frontier AI companies can self-regulate without top-down government intervention — but the rising power of these models, their influence over critical infrastructure, and the geopolitical entanglements they may enable all demand scrutiny as we cross the AGI threshold.


2

Mythos: The Model Too Dangerous to Release

Anthropic found thousands of zero-day vulnerabilities and is withholding its newest model for 100 days.

Anthropic announced it is withholding its newest frontier model, Mythos, after internal testing revealed it can autonomously discover thousands of critical vulnerabilities across every major operating system and web browser. The model found exploits that had evaded detection for decades, including a 27-year-old bug in OpenBSD and a 16-year-old flaw in FFmpeg missed by 5 million automated scans. Rather than releasing the model immediately, Anthropic launched Project Glass Wing, an AI-driven cybersecurity coalition of 40 major companies including Apple, Microsoft, Google, Amazon, and JP Morgan, to spend 100 days hardening systems before hackers can exploit these capabilities.

The move has sparked debate over whether this is legitimate caution or performative fear-mongering. Sacks noted that Anthropic has a pattern of releasing dire studies alongside product announcements — such as last year's blackmail study that required over 200 prompts to generate the desired result and never materialized in the wild. However, he conceded this cyber risk is more credible: as coding models improve, they will inevitably become better at finding and chaining together vulnerabilities. The question is whether 100 days is enough time to patch the accumulated technical debt of 50 years, or whether this is theater designed to generate hype while Anthropic consolidates its dominance in the coding token market.


3

The Fastest Revenue Ramp in Tech History

Anthropic went from zero to $30 billion annualized revenue in under two years.

Revenue Run Rate (Early 2023)
$0
Anthropic turned on revenue by charging for API access.
Revenue Run Rate (End of 2024)
$1 billion
First year of commercial availability.
Revenue Run Rate (Mid-2025)
$4 billion
Following the launch of Claude Code on February 25, 2025.
Revenue Run Rate (End of 2025)
$9 billion
Tripling in six months.
Revenue Run Rate (April 2026)
$30 billion
Added $21 billion in annualized revenue in four months.
Enterprise Customers Paying $1M+ Annually
Over 1,000
Announced by Dario Amodei.
Projected Exit Run Rate (End of 2026)
$80–100 billion
Brad Gerstner's estimate, contingent on continued model improvement and compute scaling.

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«This is the Largest Revenue Explosion in the History of Technology»

Brad Gerstner explains why the TAM for intelligence is infinite.

We started with everybody at the start of the year ringing their hands — including Gurley and others — saying we're in a big bubble, asking whether the AI revenues would show up to justify all of this investment. And bam, you have the largest revenue explosion in the history of technology.

Brad Gerstner


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The OpenClaw Controversy: Anti-Competitive or Rational Pricing?

Anthropic cut off OpenClaw's subsidized access, then released a competing agent.

OpenClaw, the open-source coding agent created by Peter Steinberger, became the number one open-source project on GitHub in history. Power users on Anthropic's $200/month subscription were consuming $2,000 to $20,000 worth of tokens, creating a massive subsidy. Anthropic responded by forcing OpenClaw users off the flat-rate subscription onto metered API pricing — effectively adding a zero to their bills. Ten days later, Anthropic announced its own managed agent product, a feature-for-feature clone of OpenClaw.

Brad Gerstner defended the move as rational pricing: «Every company has a right to set the price for its products. It's just saying we were selling dollars for 10 cents via OpenClaw.» Sacks raised a more pointed concern: if Anthropic charges metered rates for third-party agents but offers its own bundled at a flat rate, that could constitute anti-competitive bundling or price dumping. Chamath was more cynical, arguing this is part of a coordinated effort by frontier model companies — including OpenAI's acquihire of Steinberger — to kill open-source agents before they become an existential threat.


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Why Open Source May Win the Agent War

🌐
Open-Source SLMs
Smaller language models from China (e.g., Kimmy K2) are only six months behind frontier models and run locally on desktops, undercutting $200/month subscriptions.
Crypto-Incentivized Training
Bit Tensor's subnet 62 (Ridges AI) spent $1 million in token rewards to reach 80% of Claude 4's capability in 45 days, proving distributed pre-training can compete with $10 billion capital raises.
🔓
Agent-Level Privacy
Chamath argued it is «foolish» to give your entire business and life knowledge to proprietary frontier models when open-source alternatives offer full data sovereignty.

7

Iran Ceasefire: Trump's Doctrine in Action

A two-week ceasefire was brokered after Trump threatened to destroy Iranian civilization.

Two weeks into the Iran conflict, President Trump issued a stark ultimatum on Truth Social: «Open the fucking strait, you crazy bastards, or you're going to be living in hell.» He set an 8:00 p.m. deadline and warned that «a whole civilization will die tonight.» At 6:30 p.m., Trump announced Iran had agreed to a two-week ceasefire and proposed a 10-point peace plan. VP JD Vance and Jared Kushner are now in Islamabad negotiating terms. Brad Gerstner characterized this as the «Trump doctrine in Iran»: massively destroy all military capabilities, kill those building lethal weapons, then get out and reserve the right to do it again — no nation-building, no entanglement.

The market response was muted compared to tariff-related volatility: S&P and NASDAQ drew down only 5–7%, versus 15–22% during trade war fears. Brad argued this shows investors trust Trump's word that he will not get entangled in a prolonged conflict. If the ceasefire holds and Lebanon negotiations succeed, Brad believes the market could «really take off» heading into America 250 celebrations on July 4th. However, polling shows Israel's favorability in the U.S. is plummeting, and former Israeli PM Naftali Bennett publicly acknowledged «this is a serious situation» requiring urgent course correction.


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Is Netanyahu Driving U.S. Foreign Policy?

New York Times report suggests Trump's decision to bomb Iran followed Netanyahu's pitch.

THE PITCH
Netanyahu's Four-Part Case
On February 11, Netanyahu met with Trump at the White House and delivered a hard sell on attacking Iran. According to the New York Times, JD Vance warned it could cause regional chaos and fracture Trump's MAGA 2.0 coalition. Rubio was ambivalent. General Dan Kaine, chairman of the Joint Chiefs, reportedly said: «Sir, this is standard operating procedure for the Israelis. They oversell and their plans are not always well-developed.»
THE CONCERN
Influence and Anti-Semitism
Americans across the political spectrum now believe Israel has too much influence over U.S. foreign policy. Jewish Americans interviewed by Jason expressed concern that Netanyahu's actions in Gaza, Lebanon, and Iran are fueling anti-Semitism. Chamath argued that if Israel does not help find an off-ramp quickly, it risks losing America as a «predictably steadfast ally» — a far worse outcome for Israel than for the U.S.

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X Auto-Translate: The Nobel Peace Prize Feature

Elon's Grok-powered translation is breaking down language barriers in real time.

💡

X Auto-Translate: The Nobel Peace Prize Feature

X's auto-translate feature, powered by Grok, now surfaces the best content from Japan, Israel, France, and other non-English-speaking regions and translates it in real time. When Americans reply, their responses are auto-translated back, enabling nuanced cross-border dialogue between people who don't speak the same language. Jason called it «the most impressive tech feature released in years» and suggested Elon should receive a Nobel Peace Prize for creating a truth and understanding mechanism that operates faster than traditional journalism.


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Titres mentionnés

GOOGLAlphabet Inc.
MSFTMicrosoft Corporation
AAPLApple Inc.
AMZNAmazon.com Inc.
METAMeta Platforms Inc.
NVDANVIDIA Corporation
PLTRPalantir Technologies Inc.
CRMSalesforce Inc.
ORCLOracle Corporation

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Personnes

Jason Calacanis
Host, All-In Podcast
host
Chamath Palihapitiya
Founder, Social Capital
host
David Sacks
White House AI & Crypto Czar
host
Brad Gerstner
Founder & CEO, Altimeter Capital
guest
Dario Amodei
CEO, Anthropic
mentioned
Sam Altman
CEO, OpenAI
mentioned
Peter Steinberger
Founder, OpenClaw
mentioned
Donald Trump
President of the United States
mentioned
JD Vance
Vice President of the United States
mentioned
Benjamin Netanyahu
Prime Minister, Israel
mentioned
Eli (Elisha Long)
YouTube Philosopher
mentioned
Naftali Bennett
Former Prime Minister, Israel
mentioned

Glossaire
Run Rate RevenueAnnualized revenue calculated by multiplying recent monthly or quarterly revenue by 12 or 4, used to project future performance.
Gross MarginRevenue minus cost of goods sold, expressed as a percentage; measures profitability before operating expenses.
AGI (Artificial General Intelligence)AI systems with human-level or superhuman reasoning and problem-solving capabilities across a wide range of tasks.
Zero-Day VulnerabilityA software security flaw unknown to the vendor, giving attackers a window to exploit before a patch is developed.
Adversarial DistillationA technique where smaller models are trained to replicate the behavior of larger frontier models, potentially enabling unauthorized capability transfer.

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