Author

@NaveenGRao NaveenGRao

AI-compute founder posting first-principles takes on the physics of intelligence

Shares technical and macro commentary on AI compute hardware

trader score
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hit rate
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mean α
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signals 14d
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Grade = how their written analysis reads (A best). Trader score = how their last-20 timestamped calls performed vs SPY.

Their picks, scored

Not yet in the scored-bets universe (fewer than 20 scoreable calls).

Recent signals7receipts included
date (PT)tickerauthorsentwhat they saidsince thenreceipt
2026-07-02DB@NaveenGRao+0.25Discusses Databricks as a safer trusted middleman for model consumption; ticker inferred from name.·
2026-06-28·@NaveenGRao·Discusses memory movement bottleneck and compute-memory integration at unconvAI.·
2026-06-25·@NaveenGRao·Explains Un-0 model release as a step toward dynamical-systems compute for AI.·
2026-06-25·@NaveenGRao·Says dynamical systems can combine compute and memory to improve energy efficiency.·
2026-06-25·@NaveenGRao·Frames physics and time-varying systems as a new computing paradigm.·
2026-06-25·@NaveenGRao·Introduces Un-0, a large-scale generative model built on physics as compute primitive.·
2026-06-23·@NaveenGRao·AI model-provider market structure take, saying one-or-two-provider wisdom was wrong.·

Grade is our human read-worthiness rating; trader score is a rolling 20-bet hit-rate/alpha composite — different things, often disagreeing. “Since then” is direction-unaware in the table; the summary line above adjusts for which way they leaned.