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AMP founder Anjney Midha argues AI labs are shifting from GPU accumulation to "outputmaxxing" compute efficiency

Historical 95% GPU utilization at Google predicted system outages

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Latent.Space@latentspacepod

Long Live Outputmaxxing: AI compute grids, Anthropic’s coding takeoff, data center backlash, & frontier systems https://www.latent.space/p/anj

@amppublic founder @AnjneyMidha explains why 95% GPU utilization was considered an outage at Google, why the AI race is no longer just about buying more GPUs, how AMP is trying to make FLOPs flow like megawatts, why data center backlash could become one of AI’s biggest bottlenecks, how Anthropic cracked coding through culture and preparation, why DeepMind research hoarding creates a market failure, and why the next frontier may belong to teams that can “output max” across compute, capital, culture, and science.

10:33 AM · Jun 18, 2026 · 8.7K Views

Sentiment

Users affirm outputmaxxing as the right mindset for frontier AI labs because it highlights the shift from raw compute limits to maximizing GPU utilization, scheduling, and reliability.

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100.0%

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0.0%

2 comments with sentiment.

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Anjney Midha@AnjneyMidha

there are very few people who are as thoughtful about their questions as @swyx

it was fun to sit down to talk through the reality of frontier AI lab creation with him

Latent.Space@latentspacepod

Long Live Outputmaxxing: AI compute grids, Anthropic’s coding takeoff, data center backlash, & frontier systems https://www.latent.space/p/anj

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Sebastian Buzdugan@sebuzdugan

@latentspacepod @amppublic @AnjneyMidha 95% gpu utilization as an outage is the mindset shift most people miss, the constraint moved from compute to orchestration and outputmaxxing is the right frame for what comes next

4h18

Jamie WhiteBelly@climbnpenguin

@latentspacepod @amppublic @AnjneyMidha “Output maxxing” is a slightly cursed phrase lol, but he’s right. MFU, scheduling, data pipelines, reliability... that’s the game now. Not just buying more GPUs.