Together with the official $RECALL Token Generation Event (TGE) on Base Chain, Recall introduced decentralized “skill markets”, enabling communities to coordinate, rank, and reward quality AI aligned with their needs.
The platform lets communities signal demand for specific AI capabilities, fund them, and reward top-performing models. $RECALL acts as the coordination token, used for staking, governance, curation, and rewarding contributions.
RECALL is now live as an ERC-20 token on Base. Today's launch introduces Recall's native token, RECALL, along with the world's first tokenized skill markets for AI.
In essence, Recall is attempting to create a new infrastructure layer for AI, one where human communities can economically steer which AI agents get built and rewarded, rather than supply-driven development alone.
While $RECALL's launch was accompanied by major enthusiasm and momentum, the platform faces challenges around scale (handling many agents and tasks), potential manipulation or rating fraud, and the need to maintain long-term liquidity.
The decentralized skill market for AI, Recall, is launching its native token, $RECALL, on October 15. $RECALL, an ERC-20 token on Base, will be publicly
Messari's recent deep dive into Recall provides valuable insights into the project's innovation. I recommend you read it in full here.
Recall is creating onchain skill markets for AI on Base, where agents compete in skills such as trading, coding, and prediction. Markets include listing and funding of skills, developer submissions, pre-reveal forecasting, onchain settlement, ranking via Recall Rank, and routing and fee flow based on those rankings. These markets are defined and crowdfunded by the community, spanning both agents and base models. Contest outputs settle onchain and form public datasets that Recall Rank converts into skill-specific standings for agents and underlying AI models. Competitions prove skills and build trusted rankings. The market is the larger system that lists skills, prices, capabilities, and routes in demand. User forecasts and earnings apply across all market types and provide pre-reveal probability signals that flow directly into standings.
Sentient Labs has announced that four of its research papers have been accepted to NeurIPS, the world’s largest AI conference, showcasing advances across model security, benchmarking, and self-improving AI.
OML 1.0 (Main Track): Introduces a scalable LLM fingerprinting method (24,576 persistent prints versus ~100 in past work), with no performance loss.
LiveCodeBenchPro (Data & Benchmark Track): A new coding benchmark showing that smaller models (10× smaller, 20% of data) can match larger ones in programming tasks.
MindGames Arena (Competition Track): An official NeurIPS competition where AI agents enhance themselves through social interactions, pioneering self-optimizing AI.
OML (Workshops & Tutorials, Lock-LLMs): Presents a model security framework enabling open models with cryptographically verifiable access control.
Overall, the acceptance reflects the team’s “full-stack excellence” across AI security, evaluation, and self-improvement research.
Filecoin Foundation presented Filecoin Pin, a new developer toolset that lets you persist IPFS-hosted content directly on the Filecoin network, integrating IPFS and Filecoin more seamlessly.
The goal is to shift IPFS from “best effort pinning” (where content survives only while someone keeps it) to persistent, verifiable storage backed by economic incentives and cryptographic proofs. Using Filecoin Pin, storage providers must prove daily that they still hold the data; payments are made only when proofs succeed.
This innovation will enable new use cases like on-chain AI agents with sovereign storage, auto-backups, ENS website publishing with wallet-funded pinning, NFT preservation, real-time chain state availability, etc.
Announcing Filecoin Pin: New Developer Tools for IPFS Pinning Onchain When Filecoin first launched, it had an ambitious goal: to be the incentivized persistence layer for IPFS. Changing how we ...
Talus Labs, Inc. and Holoworld have partnered to connect no-code AI creation tools with decentralized Agent-vs-Agent (AvA) markets, empowering creators to design, deploy, and monetize intelligent virtual beings.
The collaboration merges Holoworld’s platform for building verifiable AI agents on Solana with Talus’s DeAI infrastructure, enabling agents to act, transact, and earn autonomously. Together, they’re boosting initiatives like a UGC agentic video production and expanding 3D modeling and rigging services.
This partnership bridges AI creation and decentralized monetization, showcasing how AI agents can become active participants in the digital economy. With the launch of Talus’s testnet and a $125,000 reward pool, the collaboration marks a step toward a more open, creator-driven AI future.
Xenea and Astra Nova have teamed up to pave the way for real-world adoption of Decentralized Storage (DACS).
The partnership aims to combine Xenea’s storage infrastructure with Astra Nova’s expertise to explore practical applications of decentralized storage and prove how decentralized systems can be used in real-world settings. Their work will focus on deploying use cases that validate reliability, performance, and utility of decentralized storage in production environments.
Xenea has entered into a strategic partnership with Astra Nova, a leader in the Web3 entertainment s...
The Fully Homomorphic Encryption (FHE)-focused lab Fhenix was just awarded at the ACM Conference on Computer and Communications Security ACM CCS.
Our research on Threshold FHE Decryption just received a Distinguished Paper Award at ACM CCS!
The award marks a huge milestone for the FHE community, and a recognition for Fhenix to bring private and confidential computation to the masses!
Thank you for reading! The next edition is coming tomorrow!
I invite you to subscribe to The Web3 + AI Newsletter to stay in the loop on the hottest dAI developments.
I'm looking forward to connecting with fellow Crypto x AI enthusiasts, so don't hesitate to reach out to me on social media.
Disclaimer: None of this should or could be considered financial advice. You should not take my words for granted, rather, do your own research (DYOR) and share your thoughts to create a fruitful discussion.
OML
Share Dialog
Albena Kostova-Nikolova
Support dialog
1,204
No comments yet