Good night CT @ParadyzeFi is basically @injective experiment in compressing multiple financial primitives into a single AI-operated layer. –> Idea - is simple you talk, the system trades. Natural-language execution drives orders directly through Injective on-chain orderbook.

Good night CT @ParadyzeFi is basically @injective experiment in compressing multiple financial primitives into a single AI-operated layer. –> Idea - is simple you talk, the system trades. Natural-language execution drives orders directly through Injective on-chain orderbook.

Good evening CT @0xMiden helps blockchains scale by shifting heavy computation off-chain while keeping the results fully verifiable. users execute programs locally and submit only a STARK proof that confirms the result is correct. This reduces load, cuts gas costscand keeps

Good evening CT @0xMiden helps blockchains scale by shifting heavy computation off-chain while keeping the results fully verifiable. users execute programs locally and submit only a STARK proof that confirms the result is correct. This reduces load, cuts gas costscand keeps

Good morning 🌞 @injective campaign is live on @Bantr_fun Injective is basically a Layer-1 chain tuned for finance. It optimizes the base layer for trading, derivatives, orderbooks, and anything that requires speed + predictable finality. Built on Cosmos SDK with Tendermint

Good morning 🌞 @injective campaign is live on @Bantr_fun Injective is basically a Layer-1 chain tuned for finance. It optimizes the base layer for trading, derivatives, orderbooks, and anything that requires speed + predictable finality. Built on Cosmos SDK with Tendermint

happy sunday champs @inference_labs just dropped two ground breaking updates for ai onchain. dsperse = bitTorrent for ai brains cuts big models into tiny pieces spreads work across gpu networks everywhere jstprove = the magic proof machine proves every tiny piece was

Good morning CT woke up looked at @inference_labs numbers and damn 6.3M in funding just to make sure AI isn’t out here lying like your ex. pre-seed of $2.3M layered funding and now 272M+ verified proofs of inference not a whitepaper dream, an active machine with receipts. and

Good morning CT woke up looked at @inference_labs numbers and damn 6.3M in funding just to make sure AI isn’t out here lying like your ex. pre-seed of $2.3M layered funding and now 272M+ verified proofs of inference not a whitepaper dream, an active machine with receipts. and

Good night CT @inference_labs works like a verification engine for blockchains that rely on ZK proofs. it creates a system where every proof can be verified fast, onchain and with strong guarantees. –> they use Zero-Knowledge Verifiers as a base layer –> Inference Labs builds

Good night CT @inference_labs works like a verification engine for blockchains that rely on ZK proofs. it creates a system where every proof can be verified fast, onchain and with strong guarantees. –> they use Zero-Knowledge Verifiers as a base layer –> Inference Labs builds

My friend launched a site where anyone can generate their own @zama identity card. You should try it out once, it’s pretty cool. Zama approaches privacy from a fundamentally different angle. Instead of trying to protect data through access controls they remove the need for

Good evening CT models usually break at multi-hop. It fails when chains of thought get too long and facts get lost @SentientAGI fixes this by keeping step-by-step and perspective-aware so chains stay intact and beliefs stay separate. Solving Multi-hop Reasoning Weakness

Good evening CT models usually break at multi-hop. It fails when chains of thought get too long and facts get lost @SentientAGI fixes this by keeping step-by-step and perspective-aware so chains stay intact and beliefs stay separate. Solving Multi-hop Reasoning Weakness

My friend launched a site where anyone can generate their own @zama identity card. You should try it out once, it’s pretty cool. Zama approaches privacy from a fundamentally different angle. Instead of trying to protect data through access controls they remove the need for

Good afternoon CT hallucinations happen because LLMs guess based on patterns they can sound right but still be wrong. @inference_labs approaches the issue differently. Their system attaches reasoning provenance and cryptographic proof to outputs. –> Goal - makes AI outputs

Good afternoon CT hallucinations happen because LLMs guess based on patterns they can sound right but still be wrong. @inference_labs approaches the issue differently. Their system attaches reasoning provenance and cryptographic proof to outputs. –> Goal - makes AI outputs

Good morning CT humans unlock phones with faces and sign papers with ink. machines just drop output and vanish into compute fog @inference_labs looked at this mess and built a fix. Models now get verifiable identity baked into output. think FaceID for logic engines with

Good morning CT humans unlock phones with faces and sign papers with ink. machines just drop output and vanish into compute fog @inference_labs looked at this mess and built a fix. Models now get verifiable identity baked into output. think FaceID for logic engines with

Good night everyone @Xyberinc is a crypto project aiming to make AI agents and even real robots ownable and able to operate as economic actors on-chain. It offers verifiable execution and a marketplace for models, robotic capabilities to be deployed. Powered by the $XYB token