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Mark and Siam open with a candid TAO update (over-levered loans due, price drawdown, macro notes on TGA and QT) then bring on Akshat from Dippy, who explains Dippy as an AI-friend entertainment app (~8.6M users, ~1 hr/day engagement) adding tap-to-video (not real-time yet) and imminently voice calls; Dippy now runs all text inference on Bittensor SN-4 (Targon) via a six-figure deal and is pivoting SN-11 into a fast, cheap media-inference “studio” (deterministic TensorRT pipeline), currently serving ~2% of Dippy images with plans to ramp to 100% and open a self-serve API; they’ll resume consistent SN-11 alpha buybacks by redirecting $5–10k/month formerly spent on centralized providers, outline 18+ moderation/privacy measures, note revenue of ~$40–60k/month while prioritizing retention and future in-message ads, and share a longer-term vision for interactive “generative worlds,” plus team hiring and platform constraints (Android feasible “Jarvis,” iOS restricted).
By Mark Creaser and Siam Kidd4.5
22 ratings
Mark and Siam open with a candid TAO update (over-levered loans due, price drawdown, macro notes on TGA and QT) then bring on Akshat from Dippy, who explains Dippy as an AI-friend entertainment app (~8.6M users, ~1 hr/day engagement) adding tap-to-video (not real-time yet) and imminently voice calls; Dippy now runs all text inference on Bittensor SN-4 (Targon) via a six-figure deal and is pivoting SN-11 into a fast, cheap media-inference “studio” (deterministic TensorRT pipeline), currently serving ~2% of Dippy images with plans to ramp to 100% and open a self-serve API; they’ll resume consistent SN-11 alpha buybacks by redirecting $5–10k/month formerly spent on centralized providers, outline 18+ moderation/privacy measures, note revenue of ~$40–60k/month while prioritizing retention and future in-message ads, and share a longer-term vision for interactive “generative worlds,” plus team hiring and platform constraints (Android feasible “Jarvis,” iOS restricted).

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