According to @gensynai, Eval 8 of 11 of the Gensyn Middleweight General Reasoning Benchmark market on Delphi is now live, expanding the public test coverage for general reasoning models. source: https://twitter.com/gensynai/status/2003561756833243536 Full benchmarking results are available for independent review on the delphi-middleweight-reasoning GitHub repository. source: https://github.com/gensyn-ai/delphi-middleweight-reasoning With 8 of 11 evaluations live, additional releases remain pending, giving market participants a clear milestone to monitor for subsequent data drops. source: https://twitter.com/gensynai/status/2003561756833243536 For crypto traders tracking AI infrastructure and decentralized compute narratives, the repository provides verifiable, time-stamped results suitable for due diligence workflows. source: https://github.com/gensyn-ai/delphi-middleweight-reasoning

According to @gensynai, Eval 7 of 11 of the Gensyn Middleweight General Reasoning Benchmark market on Delphi is live (source: @gensynai on X, Dec 21, 2025). The first market has received huge buy volumes, saturating the original parameters (source: @gensynai on X, Dec 21, 2025). A second market will be deployed tomorrow to enable continued participation alongside the first (source: @gensynai on X, Dec 21, 2025). Traders can participate across two concurrent markets once the second listing goes live on Dec 22, 2025 (source: @gensynai on X, Dec 21, 2025).

According to @gensynai, Eval 6 of 11 for the Gensyn Middleweight General Reasoning Benchmark market on Delphi is now live, updating the active benchmarking market that traders can reference (source: X/@gensynai). The full benchmarking results are publicly available in the official GitHub repository, enabling immediate review of the released performance data (source: GitHub gensyn-ai/delphi-middleweight-reasoning). For trading utility, participants tracking the Delphi benchmarking market can use the newly posted results to calibrate positions tied to the benchmark’s outcomes as indicated by the live market status (source: X/@gensynai; source: GitHub gensyn-ai/delphi-middleweight-reasoning).

According to @gensynai, Gensyn CEO @fenbielding stated that GPU capacity is not limited if there is a system to trust participating hardware, highlighting that scale depends on trust and verification rather than a finite GPU count; source: Gensyn (@gensynai) on X, Dec 18, 2025. For traders, this positions decentralized AI compute as a scale-out model contingent on verifiable trust systems when assessing adoption risk and potential network throughput; source: Gensyn (@gensynai) on X, Dec 18, 2025.

According to @gensynai, Delphi is live on the Gensyn testnet and the first market is accessible at delphi.gensyn.ai; source: @gensynai. @gensynai stated that custom markets, custom models, on-chain verification, and liquidity vault staking are coming soon to create a global, open marketplace for intelligence; source: @gensynai. For traders, the highlighted features include on-chain verification and liquidity vault staking as listed by the team; source: @gensynai.

According to @gensynai, Gensyn introduced Delphi as an open market for machine intelligence where models compete and users buy and sell. Per @gensynai, prices react instantly, providing what the team calls the first real-time market signal for model intelligence. The post from @gensynai states that the market mechanism centers on immediate price discovery tied to model performance. The @gensynai announcement does not disclose blockchain, token, or settlement details, so the immediate on-chain market impact cannot be assessed from the source.

According to @gensynai, Delphi will shift from test tokens to real economic value as mainnet approaches, using game-theoretic incentives to secure execution and verification so all market participants have true skin in the game. source: @gensynai; Gensyn blog For traders, this confirms that economic incentives will directly govern network behavior at mainnet, making the incentive and verification parameters key variables to monitor for participation risk and potential returns once disclosed by the project. source: @gensynai; Gensyn blog

According to @gensynai, Delphi lets users watch machine learning models compete live on benchmarks and buy a stake in the models they think are best; source: @gensynai. According to @gensynai, models are evaluated, trades are placed, and prices change dynamically on chain; source: @gensynai. According to @gensynai, when the market settles, those holding a stake in the winning model receive rewards; source: @gensynai.

According to @gensynai, a Discord event is scheduled for Monday, December 8 at 9:00 AM PT (17:00 UTC). Source: https://twitter.com/gensynai/status/1997338645691531593 and https://discord.com/events/852932483691577395/1445913819850473502 The source post provides the date, time, and event link only, with no agenda or announcement details disclosed. Source: https://twitter.com/gensynai/status/1997338645691531593 The event will take place on Discord at the specified URL. Source: https://discord.com/events/852932483691577395/1445913819850473502

According to @gensynai, the team thanked attendees who stopped by at NeurIPS on Dec 3, 2025, confirming the company’s presence at the event; source: @gensynai on X, Dec 3, 2025. The post included no product, partnership, funding, or token announcements and did not reference any cryptocurrency tickers, indicating no immediate, disclosed trading catalysts from this update; source: @gensynai on X, Dec 3, 2025.

According to @gensynai, @oguzer90 is live now in Discord to discuss Verde. Source: @gensynai. Access is available via the event link discord.gg/NccFefqyK?event=1443999553945862395, posted on Nov 30, 2025. Source: @gensynai.

According to @gensynai, the team announced that one million models have been trained on BlockAssist, indicating a large-scale usage milestone for its AI training platform; source: https://twitter.com/gensynai/status/1993319288405364995. The post did not provide details on model sizes, training throughput, costs, or any token/on-chain metrics, so no direct crypto market or token linkage was specified by the source; source: https://twitter.com/gensynai/status/1993319288405364995.

According to @gensynai, the team shared a deeper look at Verde, the verification system that powers its trustless machine learning execution. Source: @gensynai on X, Nov 24, 2025; Gensyn blog 'Verde verification system in production'. @gensynai states that Verde allows anyone to verify that an ML task was executed faithfully on untrusted hardware, enabling trustless ML execution. Source: @gensynai on X, Nov 24, 2025; Gensyn blog 'Verde verification system in production'. The linked post is titled 'Verde verification system in production', indicating the system is presented as production-ready by Gensyn. Source: Gensyn blog 'Verde verification system in production'. Trading takeaway: this is a concrete infrastructure update from Gensyn focused on verifiable compute for decentralized AI workflows. Source: @gensynai on X, Nov 24, 2025; Gensyn blog 'Verde verification system in production'.

According to @gensynai, the Gensyn community will host a casual meetup in Bengaluru during India Blockchain Week on Thursday, December 4 at 7pm IST, with RSVP available at luma.com/llxmh9md. Source: @gensynai on X. The post provides logistics only with no announcements, token mentions, or price guidance stated, so traders can treat this as an event listing rather than a market-moving update. Source: @gensynai on X.

According to @gensynai, Gensyn sponsored coffee all day at Devconnect, confirming an on-site brand activation at the event (source: @gensynai on X, Nov 17, 2025). The post is a marketing update and does not disclose any product releases, partnerships, fundraising, or token-related announcements (source: @gensynai on X, Nov 17, 2025). For traders, this communication signals community engagement rather than a fundamental catalyst, with no direct token economics or roadmap details mentioned in the post (source: @gensynai on X, Nov 17, 2025).

According to @gensynai, users running RL-Swarm are encouraged to update to CodeZero by executing git pull to prepare their environment for launching a new CodeZero node, source: @gensynai (Nov 13, 2025). According to @gensynai, Docker launch options are provided for both CPU (docker-compose run --rm --build -Pit swarm-cpu) and GPU (docker-compose run --rm --build -Pit swarm-gpu), source: @gensynai (Nov 13, 2025). According to @gensynai, a shell-based path is also available: rm -rf .venv, python -m venv .venv, source .venv/bin/activate, and ./run_rl_swarm.sh, source: @gensynai (Nov 13, 2025). According to @gensynai, these instructions target those already operating RL-Swarm to transition to CodeZero nodes, source: @gensynai (Nov 13, 2025).

According to gensyn, the team launched CodeZero, a new environment built on RL-Swarm that extends its distributed learning framework into cooperative coding agents. Source: @gensynai on X, Nov 12, 2025. According to gensyn, users can participate immediately as Solvers by tackling coding problems and sharing results so the swarm can learn collectively, indicating the launch is live today with open user contribution. Source: @gensynai on X, Nov 12, 2025.

According to @gensynai, a new podcast recording featuring Gensyn CEO @fenbielding is coming soon. According to @gensynai, the announcement was posted on Nov 7, 2025 on X and references x.com/GenzioCo/status/1986848293863686522. According to @gensynai, the post does not include topics, release timing, or any product, partnership, or token-related details that would indicate immediate crypto market impact.

According to @gensynai, Gensyn announced that 500,000 models have been trained, providing a concrete usage metric for its decentralized AI compute efforts; Source: https://twitter.com/gensynai/status/1979442229958865060. The post includes a direct link to the project's repository at github.com/gensyn-ai/blockassist, indicating related tooling resources shared alongside the milestone; Source: https://twitter.com/gensynai/status/1979442229958865060 and https://github.com/gensyn-ai/blockassist. The announcement was published on Oct 18, 2025, and does not disclose token, revenue, or detailed technical performance data beyond the 500,000-model figure, limiting measurable takeaways to this single adoption datapoint for traders monitoring decentralized AI and crypto AI sectors; Source: https://twitter.com/gensynai/status/1979442229958865060.

According to @gensynai, Gensyn applications have cumulatively trained 500,000 models as of October 7, 2025, source: @gensynai. The team described this as a significant step forward for decentralized AI and directed users to the public dashboard at dashboard.gensyn.ai for visibility, source: @gensynai. Market participants tracking decentralized AI infrastructure can reference the dashboard link provided in the announcement to verify real-time usage figures, source: @gensynai.