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Training the world's Vision Language Model using your camera & GPU. Powered by MCP. Earn $VISION. Decentralized. Permissionless. Real-world AI.
Do yall SEE THE VISION
15 Harsh Truths of Psychology and Life: 1.
I’m so glad his eyes aren’t like this from his heat vision
David Zaslav has released a statement about the opening weekend of ‘SUPERMAN’ “[This is] all part of a bold 10-year plan. The DC vision is clear, the momentum is real, and I couldn't be more excited for what's ahead”
15 Powerful Visuals About Psychology & Life 1.
when the imax seats started vibrating with the heat vision #Superman
Vision of the underworld #OC
gerard way spoke to me in a vision and told me to pick up a marker
Tomio Ogata drew him so well for Visions of V
On July 13th, 1917, the Blessed Virgin Mary showed the three shepherd children of Fatima a vision of Hell. This photograph was taken shortly afterwards. (Courtesy: Santuário de Fátima)
there’s a vision here… hm
do yall see the vision (except triple threat will win) #bb27
$CODEC is coded. But WTF is it and why am I so bullish? Let me give you a TL;DR - @codecopenflow is building the first comprehensive platform for Vision-Language-Action (VLA) models, enabling AI "Operators" to see, reason, and act autonomously across digital interfaces and robotic systems through unified infrastructure. - VLAs solve/overcome fundamental LLM automation limitations, leveraging a perceive-think-act pipeline that enables them to process dynamic visual semantics versus current LLM's screenshot-reason-execute loops that break on interface changes. - The technical architecture of VLAs merges vision, language reasoning, and direct action commands into single model rather than separate LLM + visual encoder systems, enabling real-time adaptation and error recovery. - Codec's framework-agnostic design spans robotics (camera feeds to control commands), desktop operators (continuous interface navigation), and gaming (adaptive AI players) through same perceive-reason-act cycle. - What's the difference? LLM-powered agents replan when workflows change, handling UI shifts that break rigid RPA scripts. VLA agents on the other hand adapt using visual cues & language understanding rather than requiring manual patches. - Codec's hardware-agnostic infrastructure with no-code training via screen recording plus developer SDK, positioning it as the missing Langchain-style framework for autonomous VLA task execution. - The framework enables mart compute aggregation from decentralized GPU networks, enables for optional onchain recording for auditable workflow traces, and allows for private infrastructure deployment for privacy-sensitive use cases. - $CODEC tokenomics monetize operator marketplace and compute contribution, creating sustainable ecosystem incentives as VLAs reach expected LLM-level prominence across various sectors. - The fact a Codec co-founder has experience building HuggingFace's LeRobot evidences legitimate robotics & ML research credibility in VLA development. This is not your average crypto team pivoting to AI narratives. Will dive into this in more depth soon. Re-iterating on my recommendation to DYOR in the meantime. $CODEC is coded.
$VISION is turning around strong this could go much higher!
Are you telling me these arts were a complete foreshadowing of the kind of hallucination Mizi and Till would suffer AND THE TITLE WAS "VISION AFTER" 🧍?!?!?