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Good morning, founders. The internet as we know it just got a lot more dangerous. Anthropic's new AI model can find thousands of cybersecurity flaws in the time it takes human hackers to find one hundred—and it's already causing emergency meetings at the highest levels of government and finance.

In today's briefing

  • 1.Mythos AI Triggers Banking Crisis
  • 2.Quantum Computing Breaks Crypto
  • 3.AI Agent Implementation Reality Check
  • ⚡Quick hits on other news
Latest Developments
AI

🚨Anthropic's Mythos AI Sparks Emergency Fed Meetings as Banks Face Existential Cyber Threat

The Rundown: Anthropic's Claude Mythos AI model can detect thousands of cybersecurity flaws annually versus 100 for human teams, prompting emergency meetings between Fed Chair Powell, Treasury Secretary Bessent, and major bank CEOs.

The details:

  • ●The model was distributed to only 40 organizations including major banks due to fears it could debilitate Fortune 100 companies
  • ●Mythos can find cybersecurity vulnerabilities thousands of times faster than human hacker teams
  • ●Federal officials are concerned the AI could infiltrate national defense systems if it falls into wrong hands
  • ●Emergency meetings between Fed Chair Powell, Treasury Secretary Bessent, and top bank CEOs were called immediately
Why it matters: This represents a fundamental shift in cybersecurity economics—when AI can find vulnerabilities at superhuman speed, traditional security models become obsolete overnight. For founders, this means either adapting to AI-powered security or becoming sitting ducks in an accelerated threat landscape.

📰 Source: Morning Brew

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🤖SaaStr Reveals Why 90% of AI Agent Deployments Fail Despite Revenue Gains

The Rundown: SaaStr's experience deploying 20+ AI agents that helped increase revenue from -19% to +47% year-over-year reveals most implementations fail due to unrealistic set-and-forget expectations.

The details:

  • ●Successful AI agent implementation requires 60-90 minutes of daily management for 90 days, not set-and-forget approach
  • ●SaaStr achieved revenue turnaround from -19% to +47% year-over-year using properly managed AI agents
  • ●HubSpot switched Breeze AI to outcome-based pricing at $0.50 per resolved conversation vs $1.00 per conversation
  • ●SpaceX, OpenAI, and Anthropic IPOs targeting combined $3.5T+ valuation would exceed all VC-backed IPOs since 2000
Why it matters: The AI agent gold rush is creating unrealistic expectations about automation. Smart founders will recognize that AI amplifies human effort rather than replacing it—and budget for the intensive management required to see real ROI.

📰 Source: SaaStr

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Everything else in the news today

Bitcoin surged past $73,000 following Iran ceasefire and hot CPI data→
NASA Artemis II completed first crewed lunar mission since 1972 with Christina Koch as first woman beyond Earth orbit→
France announced plans to replace Microsoft Windows with Linux across all government systems→
Ethereum staking reached 38.84M ETH representing 32% of total supply→
Base blockchain achieved 10,000 transactions per block milestone→
ETH transaction costs dropped to just $0.002 per transaction→
World Liberty Financial borrowed $75 million against 3 billion of its own WLFI tokens→
Aave token fell 75% from highs as governance disputes led to contributor departures→
Lazer shipped agent CLI that builds apps across Base, Farcaster, and World ecosystems simultaneously→
Google's Gemma 4 models now run locally on phones and laptops for privacy benefits→
Inflation spiked to 3.3% in March driven by Iran war pushing up gas prices→
Palantir declined on fears Anthropic's AI tools would disrupt the software industry→
Sierra's outcome-based AI pricing model achieved $150M+ ARR validating the approach→
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