AI Model Race Weekly — Anthropic at 94.8%, OpenAI Burns $3.7B, Perplexity Brain Learns Overnight

Anthropic may sweep both #1 and #2 model slots. OpenAI is burning cash at historic rates. An AI agent just learned to improve itself overnight. And the US government proved it can kill a deployed model in 72 hours.

This Week in Numbers

94.8%

Anthropic odds for best AI model

$3.7B

OpenAI Q1 operating loss

+25%

Perplexity Brain accuracy improvement

20x

Claude speed vs humans in robotics

What Happened

Polymarket bettors have all but called the model race: Anthropic at 94.8% for #1, 90.5% for #2. $16 million traded. Google at 3.2%. OpenAI at 1.8%. If this holds, one company owns both top slots — unprecedented concentration at the capability layer.

Perplexity launched Brain — a self-improving memory system that builds a context graph of agent work and learns overnight. Early metrics: +25% accuracy, +16% recall, -13% cost on repeated tasks. The harness just got a feedback loop.

OpenAI burned $3.7 billion in Q1. Revenue tripled — losses matched. Anthropic’s Claude completed robotics tasks 20x faster than humans in Project Fetch Phase 2. And Fable 5 was shut down by the US government after just 72 hours.

The structural read: Three races are running in parallel — the model capability race (Anthropic winning), the economic endurance race (everyone losing money, OpenAI fastest), and the physical world race (just opened). Whoever wins the economic race funds the next capability jump.

What to Watch Next Week

1. June 30: Polymarket resolves — does Anthropic lock in both #1 and #2?

2. Perplexity Brain first-week adoption data — real switching costs or marketing?

3. OpenAI Q2 burn rate trajectory — does it compress or accelerate?

Business Engineer Framework

The AI Supercycle — Where Capability, Capital, and Deployment Collide

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