.
@AskVenice did the hard part first for its ecosystem privacy AI narrative to follow.
lotta capital sidelined from
$VVV is now aggressively searching for the beta plays. somehow they probably already got the answer.
@dphnAI |
$Pod: co-built the Dolphin Mistral 24B Venice Edition model with only ~2.2% refusal rate while most mainstream models censor half the prompts.
also building decentralized inference infra itself, where idle GPUs route inference jobs through encrypted pools with staking slashing mechanics.
with Dolphin, Venice becomes the uncensored layer. so
$POD got the insane run and did 10x in only 3 days.
@wardenprotocol |
$Ward: fully migrated all their agent traffic to Venice models, citing ~1T tokens consumed. just launched Halo, a P2P BitTorrent-style AI inference marketplace.
also stealth launched
@BasedAI_co with Venice as a commercialization layer for open-source AI right as inference marketplaces start appearing.
$WARD also did 4x before roundtripping.
@OpenRouter : Venice stakes its own
$VVV to subsidize Dolphin Mistral 24B on OpenRouter for free. so every dev building on OpenRouter who touches an uncensored model is unknowingly part of the
$VVV burn cycle.
@fleek: makes every deployed agent a Venice customer by default. new users get $10 in Venice credits.
@hyperbolic_labs: GPU backbone for Venice. heavy inference loads get routed here.
@StrikeRobot_ai |
$SR: privacy-first robotics running Veniceโs reasoning stack for real-world industrial environments. they call Venice APIs for VLM reasoning when the robot needs to think.
@bonfiresai : knowledge graph layer Venice agents can pull context from mid-inference. Venice already used it internally for hackathon judging moderation flows.
@MorpheusAIs: Venice was originally built on top of Morpheus compute infra before all this ecosystem stuff started exploding.
AI infra with private demand, real users, token sinks and ecosystem pull is getting repriced.
just study this pump to figure out which spokes actually matter in the new meta.