




ImBananas (τ,τ)
7.4K posts




















Manako × @PwC_France We've formed an alliance to bring physical AI to enterprise at global scale. PwC France will lean on Manako's Business Operations World Model, powered by @webuildscore to turn their clients' existing camera networks into real-time systems of action. 1/5




these are all great points from @0xEkxr. what would a pre-sale notification (eg Rule 144 for equity insiders) look like on bittensor? 1) notification requirement: owners have to notify investors they plan to sell 2) volume restriction: wallets with a stake >= xx% have automatic volume restrictions as they sell tokens this could circumvent (or combine with) a token-lock requirement. also: should the above (or something like it) also apply to large holders ("affiliates") as well as owners to minimize the "pump and dump" action of a few large wallets? this would minimize "insider trading": wallets that accumulate a large stake of a particular subnet before plans for that subnet are publicly announced cannot just unload without proper 1) notification and 2) volume controls. sec.gov/reports/rule-1… #bittensor $TAO $dTAO



🔒Locked Stake & Conviction are Being Proposed for Bittensor Subnet ownership may be about to change. BIT-0011 proposes that anyone can challenge for ownership of a subnet by locking their ALPHA stake and building "conviction." Right now, inactive subnet owners can hold onto subnets indefinitely. 'Locked Stake' would make ownership a contest of commitment, giving motivated participants a path to take over neglected subnets. How it works: - Lock ALPHA on a subnet for a chosen duration to build conviction - Conviction starts at the full locked amount and decays linearly to 0 at expiry - Every 30 days, the staker with the highest conviction EMA becomes the subnet owner - The EMA smoothing prevents anyone from briefly locking a large amount to "snipe" ownership Learn More: learnbittensor.org/concepts/locke… NOTE: This is a draft proposal (BIT-0011) currently being discussed. The implementation and design may change or be replaced completely.


“The bomb he dropped at the end: - New algorithm for training "arbitrarily large" models on Bittensor - Targeting dropping in the next week or two - Positioning to go beyond what Templar did with dense 72B models - Jon: "to actually compete, like if you look at xAI, they're training 10 trillion parameter models now... we need to sort of cross that chasm... I think there's a way to do it” And just like that Templar will be just an old war story..