getkar 🕷️

693 posts

getkar 🕷️

getkar 🕷️

@Getkar

Earth Katılım Temmuz 2011
48 Takip Edilen42 Takipçiler
getkar 🕷️ retweetledi
Metadon
Metadon@metadonprofits·
February just proved one thing about trading… The market will reward you, humble you, and test you; all in the same month. But the numbers tell the full story February recap 🧵👇
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OpenGradient (∇, ∇)
OpenGradient (∇, ∇)@OpenGradient·
OpenGradient Model Highlight: AMM Fee Optimization Model This model explores a volatility-aware approach to AMM fee design. Instead of relying on static trading fees, the mechanism adapts fee levels using short-horizon volatility forecasts. 🧵 👇🏻
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OpenGradient (∇, ∇)
OpenGradient (∇, ∇)@OpenGradient·
We’re approaching the final stages of Expertly. Designed as a combination of twin.fun and @memsync_ai, it focuses on building AI experts that are context-aware and task-specific by design. As we finalize the product, we’re gathering input to guide what should be built first. Share your feedback: expertly.so/surveys/ai-exp…
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OpenGradient (∇, ∇)
OpenGradient (∇, ∇)@OpenGradient·
A conversation on the stack behind autonomous agents, from AI models to secure inference and verifiable execution. @0xDeltaHedged will be discussing this with @OpenledgerHQ. ⏰ 18 march · 2 pm utc See you there.
OpenLedger@OpenledgerHQ

Autonomous agents are built on a stack. Models. Secure inference. On-chain execution. Join @Ramkumartweet and @0xDeltaHedged, co-founder of @OpenGradient, as they discuss Agent Stack: From AI Models to Verifiable On-Chain Agents. 🗓️ Mar 18 | ⏰ 2 PM UTC

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OpenGradient (∇, ∇)
OpenGradient (∇, ∇)@OpenGradient·
We're partnering with @cysic_xyz Together, we're accelerating zero-knowledge proofs that verify model execution on OpenGradient. This is a big step toward making verifiable AI inference production-ready. 1/7
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OpenGradient (∇, ∇)
OpenGradient (∇, ∇)@OpenGradient·
if touching grass could be verified, this is probably what the proof looks like
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OpenGradient (∇, ∇)
OpenGradient (∇, ∇)@OpenGradient·
How do you keep developer workflows private? Certain models and workflows run inside Trusted Execution Environments (TEEs), where memory and compute are isolated at the hardware level. TEE nodes also generate attestations proving exactly what code is running. @0xDeltaHedged explains ↓
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OpenGradient (∇, ∇)
OpenGradient (∇, ∇)@OpenGradient·
Community Product Highlight 👇🏻 It’s always great to see builders in the OpenGradient community creating tools around the ecosystem. @egoruy_ built a web assistant that helps people explore models on the OpenGradient Model Hub. Users can simply describe what they’re looking for, and the assistant queries the Model Hub API to surface relevant options. The OpenGradient Model Hub now hosts 2000+ models, and continues to grow as more developers publish and experiment with new models. A thoughtful addition that makes navigating the Model Hub easier. Try it here: opengradient-assistant.up.railway.app Model Hub: hub.opengradient.ai Appreciate @egoruy_ for building and sharing this with the community. 🫡
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BitQuant
BitQuant@BitQuantAI·
👤:Hey BitQuant, what are the current top trending coins on Solana? BitQuant: $BONK $WIF $JUP $PENGU $POPCAT $SLERF $MEW $SOS
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