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Signals
◆AI agents are moving from chat interfaces into enterprise workflows.◆Open-source AI models are becoming strategic infrastructure.◆Power availability may become a constraint on AI infrastructure.◆Physical AI is moving from laboratories into commercial environments.◆Every deployed agent is a new identity with credentials.◆Inference, not training, is becoming the dominant compute story.◆Software engineering is the proving ground for every other kind of agentic work.◆Seat-based software pricing is under structural pressure.◆AI agents are moving from chat interfaces into enterprise workflows.◆Open-source AI models are becoming strategic infrastructure.◆Power availability may become a constraint on AI infrastructure.◆Physical AI is moving from laboratories into commercial environments.◆Every deployed agent is a new identity with credentials.◆Inference, not training, is becoming the dominant compute story.◆Software engineering is the proving ground for every other kind of agentic work.◆Seat-based software pricing is under structural pressure.
Topic · Artificial Intelligence

Reasoning Models

Models that spend compute at inference time to plan, verify and correct before answering.

Parallax Index
72 +10
Reasoning Models

Why now?

  • Test-time compute has opened a second scaling axis beyond training
  • Reasoning quality is what makes agents reliable enough to trust with actions
  • Small reasoning models are bringing this capability to cheaper hardware

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Explainers

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