According to @gensynai, the third Judge market has reached 32,000 participants, highlighting strong engagement in its AI-settled prediction market (source: @gensynai). According to @gensynai, only 24 hours remain to participate, with users invited to run a node and cast their vote (source: @gensynai). According to @gensynai, the market is positioned as the first AI-settled prediction market, with access via dashboard.gensyn.ai/?application=Judge for immediate participation (source: @gensynai).

According to @gensynai, on Wednesday Oct 1 there is a 7:25 PM SGT TOKEN2049 panel titled Prediction Markets & AI: Hype or Substance? featuring speakers from Gensyn, MantleX, Supafund, Olas, Gaia, 0G, and Nevermined, setting a defined agenda time for AI and prediction markets updates relevant to crypto traders; source: @gensynai. A 7:45 PM SGT keynote titled Progress in Decentralised AI will follow, outlining where the movement is headed and providing a scheduled information window that traders can track for developments in the AI crypto segment; source: @gensynai. Registration is available at luma.com/h0zgn96s; source: @gensynai.

According to @gensynai, unusual offchain activity is affecting the RL Swarm decentralized application, with deliberate poisoning of communication DHTs causing compute node crashes, and the team is actively investigating with updates to follow; source: @gensynai. The post does not disclose scope, root cause, remediation steps, or a timeline and mentions no on-chain impact beyond stating the activity is offchain, so traders should monitor the official channel for status changes; source: @gensynai.

According to @gensynai, the next Judge game begins on Sept 15 at 8 AM PST, and participants are instructed to have their node running and be ready to vote. Source: https://twitter.com/gensynai/status/1967398021710410061 According to @gensynai, the official participation link provided for node setup and voting resources is the rl-swarm GitHub repository. Source: https://github.com/gensyn-ai/rl-swarm For trading teams tracking decentralized AI infrastructure milestones, the defined vote window provides a clear timeline to monitor any project-led activity around node operation and readiness signaled by the team. Source: https://twitter.com/gensynai/status/1967398021710410061

According to @gensynai, BlockAssist v0.1.0 is live with three changes: UI color improvements, consolidation to a single HuggingFace repository, and a fix for a crash at 100% completion; source: @gensynai. According to @gensynai, users are instructed to wipe and reclone BlockAssist and then follow the official GitHub guide to update, clarifying the required upgrade path; source: @gensynai. According to @gensynai, these confirmed bug fixes and repository consolidation constitute verifiable maintenance progress that traders monitoring AI tooling projects can use to gauge development activity and reliability signals; source: @gensynai.

According to @gensynai, the opening Judge market has officially settled, billed as the first-ever AI-settled prediction market, with over 21,000 participants placing more than 240,000 bets. According to @gensynai, these reported volumes offer concrete launch metrics that crypto traders can use to gauge engagement and potential liquidity in AI-driven on-chain prediction markets.

According to @gensynai, Judge brings scalable, objective, AI-based resolution to prediction markets; source: @gensynai on X, Sep 6, 2025. According to @gensynai, more markets are coming soon; source: @gensynai on X, Sep 6, 2025.

According to @gensynai, points per round are calculated as tokensOut = peerCorrectChoiceBets + peerCorrectBalance.mulDiv(totalLoserBets, correctChoice.totalSupply), returning a user’s correct-bet stake plus a pro-rata share of totalLoserBets based on their balance relative to the correctChoice supply. Source: @gensynai on X, Sep 6, 2025, https://twitter.com/gensynai/status/1964404804492702155. For traders, expected payout increases with higher totalLoserBets and with a larger peerCorrectBalance share of correctChoice.totalSupply, making these variables critical to monitor when sizing positions and estimating edge before resolution. Source: @gensynai on X, Sep 6, 2025, https://twitter.com/gensynai/status/1964404804492702155. The formula enables direct sensitivity analysis of payouts to totalLoserBets and correctChoice.totalSupply, allowing disciplined risk-reward thresholds grounded in the stated redistribution mechanism. Source: @gensynai on X, Sep 6, 2025, https://twitter.com/gensynai/status/1964404804492702155.

According to @gensynai, the first AI-settled prediction market concluded with a Yes outcome. Source: https://twitter.com/gensynai/status/1964091133304127704 According to @gensynai, the event involved 20,010 participants, highlighting significant user engagement for AI-settled market infrastructure. Source: https://twitter.com/gensynai/status/1964091133304127704

According to @gensynai, the Gensyn network has surpassed 45 million transactions and reached 130,000 users, signaling substantial on-chain activity that traders can track for adoption momentum. According to @gensynai, product-level usage includes 122,500 BlockAssist sessions and 26,000 RL Swarm nodes connected, highlighting broad participation across the ecosystem.

According to @gensynai, the Gensyn testnet has recorded 40,535,515 transactions, 128,293 users, a 21,000-node RL Swarm, and 27,835 models trained via BlockAssist; source: gensyn (@gensynai) on X, Aug 23, 2025. Based on these figures, average transactions per reported user are roughly 316 (40,535,515 divided by 128,293), a usage intensity that traders can track as an on-chain adoption proxy for decentralized AI compute; source: calculation using data from gensyn (@gensynai) on X, Aug 23, 2025. The scale of nodes and completed model trainings indicates available compute supply and workload throughput that can inform positioning across AI-DePIN narratives; source: data from gensyn (@gensynai) on X, Aug 23, 2025.

According to @gensynai, Gensyn announced an exclusive BLOCK Discord role limited to users who complete BlockAssist training and upload their trained model to Hugging Face, source: @gensynai on X, Aug 8, 2025. According to @gensynai, access requires verifying participation via the provided link and then receiving the BLOCK role, source: @gensynai on X, Aug 8, 2025. According to @gensynai, the announcement does not mention any token incentives, airdrops, or market data, indicating no disclosed direct trading catalyst in this update, source: @gensynai on X, Aug 8, 2025.

According to @gensynai, the weekly recap highlights BlockTool as a creative image processing and design tool featuring retro effects, dithering, and real-time text overlay, with access shared via the post link, source: @gensynai on X, Aug 8, 2025. The same update features BlockAssist, described as an AI assistant that learns from a user’s actions in Minecraft, with a link provided for more details, source: @gensynai on X, Aug 8, 2025. The post does not disclose any token, blockchain integration, pricing, or release timeline, offering no immediate crypto market impact signals for traders, source: @gensynai on X, Aug 8, 2025.

According to @gensynai, the introduction of GSwarm marks a significant step in AI development, with potential implications for blockchain and cryptocurrency trading strategies. The integration of advanced AI like GSwarm could enhance data analysis and automation for trading platforms, potentially increasing efficiency and accuracy in crypto market operations. Traders should monitor developments from GensynAI for emerging opportunities in algorithmic trading and decentralized finance, as AI-driven solutions continue to shape the competitive landscape. Source: @gensynai.

According to @gensynai, 15% of all active node runners are now part of the SWARM Discord group, indicating a significant increase in community coordination and information sharing among network participants. This development could enhance node operator collaboration, potentially leading to improved transaction throughput, network stability, and more timely updates for SWARM token holders. Close monitoring of SWARM community dynamics is recommended for traders assessing SWARM-related assets. Source: @gensynai

According to @gensynai, participation in the Agents Unleashed event at ETHCC this month, alongside @autonolas, highlights growing collaboration between leading projects in decentralized AI and Web3 automation (source: @gensynai, June 3, 2025). This convergence is expected to drive advancements in on-chain AI agents, with direct implications for the OLAS and GENSYN tokens. Traders should monitor these tokens for increased volatility and potential liquidity inflows, as such partnerships often precede new product launches or integrations, influencing token valuations and trading volumes in the crypto sector.

According to gensyn (@gensynai), the first Gensyn Community meetup is scheduled to take place in Turkey next month, offering a unique opportunity for AI and crypto traders to network and discuss Gensyn protocol developments. This event, organized by the community, is expected to drive increased engagement and knowledge sharing around Gensyn's decentralized machine learning infrastructure, which could influence GENS token liquidity and market sentiment (source: gensynai on Twitter, May 30, 2025). Traders should monitor updates from this event for insights on upcoming partnerships, technical advancements, and potential impacts on GENS token price action.

According to gensyn (@gensynai) on Twitter, users are encouraged to upgrade their nodes and join the Swarm network, signaling an expansion of the decentralized AI infrastructure as of May 28, 2025. This upgrade is critical for traders monitoring AI token ecosystems, as enhanced network scalability and participation can impact the utility and demand for Gensyn's native tokens. Improved node performance and greater network security could strengthen token price stability and trading volumes, directly affecting crypto market dynamics. Source: gensyn (@gensynai), Twitter, May 28, 2025.

According to @gensynai, RL Swarm has integrated with Weights & Biases, enabling direct terminal log uploads and real-time monitoring of key training metrics such as loss, learning rate, rewards, and GPU utilization (source: https://twitter.com/gensynai/status/1927789712938602649). This upgrade streamlines AI model optimization for algorithmic trading, giving crypto traders faster feedback loops and improved transparency for developing high-frequency trading bots.

According to gensyn (@gensynai), the RL Swarm dashboards have been upgraded to offer personalized views, enabling users to log in and monitor all their connected nodes in a single, unified display (source: gensynai on Twitter, May 28, 2025). This update streamlines node management for crypto traders participating in decentralized AI networks, potentially increasing operational efficiency and real-time oversight of staking and rewards. Enhanced dashboard functionality is likely to attract more developers and node operators to the Gensyn ecosystem, supporting broader crypto infrastructure growth.