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Inference Time Tactics

A podcast exploring the emerging field of inference-time compute—the next frontier in AI performance. Hosted by the Neurometric team, we unpack how models reason, make decisions, and perform at runtime. For developers, researchers, and operators building AI infrastructure.

Podcast · By NeuroMetric AI · English · Official site

Indexed episodes, last 90 days
2
Latest publication
Aug 5, 2026
Audience
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Earliest in this view
Jul 10, 2026
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Latest episodes

  1. Episode · Aug 5, 2026

    TMax: Closing the Frontier Gap With Open Data (opens the original)

    Episode notes

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    In this episode of Token Engineering, Cooper sits down with Yash, Head of AI Research at Neurometric AI, to break down TMax from AI2 (Allen Institute for AI)—a fully open dataset and training recipe that pushes small open-weight models like Qwen to near-frontier performance on terminal agent tasks. The paper argues that diversity and difficulty matter more than where the data comes from—even when that data is entirely invented by Gemini rather than pulled from real-world code. We talked about: W

  2. Episode · Jul 10, 2026

    From Tokenmaxxing to Tokenminning: The Case for Token Engineering (opens the original)

    Episode notes · Neutral tone

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    In this episode, Cooper sits down with Neurometric CEO, Rob May, to talk through a big-news month: the show's rebrand from Inference Time Tactics to Token Engineering, the launch of tokenminning.com as a response to the "tokenmaxxing" trend, Neurometric's new token engineering platform and fundraising announcement. But the bigger conversation is about why Rob thinks "token engineering" is about to become a discipline every AI company needs—the same way DevOps or UX became non-negotiable roles—an

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