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▶ 10:44 · AI Economics & Business Models · New data economy emerges with per-task pricing ($50-$10k) and lab-scale demand

now playing · AI Economics & Business Models

AI Talent & Labor Markettailwindscore 7/10brendan foody

Expert human networks become critical infrastructure for verifying frontier AI capabilities

Mercor's expert network scaled to 2.5M hours in Q2 with accelerating growth. Humans remain essential because models cannot reliably grade their own outputs beyond the current frontier — aki…

AI Agentstailwindscore 8/10brendan foody

RL environments emerge as the new data moat for agent post-training

The shift from crowdsourced behavior cloning to expert-built RL environments — comprising realistic worlds, app clones, and verifiable tasks — is becoming the primary differentiator for AI…

Enterprise AI Adoptiontailwindscore 8/10brendan foody

Application companies will increasingly own their intelligence via custom post-training

Over the next 12 months, dozens of application-layer companies will follow Cursor's example by building industry-leading models through proprietary RL post-training data. Owning the intelli…

AI Economics & Business Modelstailwindscore 7/10brendan foody

New data economy emerges with per-task pricing ($50-$10k) and lab-scale demand

Frontier labs now purchase up to 50,000 tasks/month at custom prices, while off-the-shelf datasets represent hundreds of millions in upfront investment. Expert human time costs ~$150/hour,…

Frontier AI Modelsmixedscore 6/10brendan foody

Base models need pass@16 > pass@1 capability to effectively learn from RL environments

For RL post-training to work, the base model must occasionally solve tasks correctly when sampling multiple trajectories (pass@16) even if it fails on single attempts (pass@1). Parameter co…

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▶ 10:44 · AI Economics & Business Models · New data economy emerges with per-task pricing ($50-$10k) and lab-scale demand

now playing · AI Economics & Business Models

AI Talent & Labor Markettailwindscore 7/10brendan foody

Expert human networks become critical infrastructure for verifying frontier AI capabilities

Mercor's expert network scaled to 2.5M hours in Q2 with accelerating growth. Humans remain essential because models cannot reliably grade their own outputs beyond the current frontier — aki…

AI Agentstailwindscore 8/10brendan foody

RL environments emerge as the new data moat for agent post-training

The shift from crowdsourced behavior cloning to expert-built RL environments — comprising realistic worlds, app clones, and verifiable tasks — is becoming the primary differentiator for AI…

Enterprise AI Adoptiontailwindscore 8/10brendan foody

Application companies will increasingly own their intelligence via custom post-training

Over the next 12 months, dozens of application-layer companies will follow Cursor's example by building industry-leading models through proprietary RL post-training data. Owning the intelli…

AI Economics & Business Modelstailwindscore 7/10brendan foody

New data economy emerges with per-task pricing ($50-$10k) and lab-scale demand

Frontier labs now purchase up to 50,000 tasks/month at custom prices, while off-the-shelf datasets represent hundreds of millions in upfront investment. Expert human time costs ~$150/hour,…

Frontier AI Modelsmixedscore 6/10brendan foody

Base models need pass@16 > pass@1 capability to effectively learn from RL environments

For RL post-training to work, the base model must occasionally solve tasks correctly when sampling multiple trajectories (pass@16) even if it fails on single attempts (pass@1). Parameter co…