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 gensyn (@gensynai), the full benchmarking results for the Gensyn Middleweight General Reasoning Benchmark market are now available at https://github.com/gensyn-ai/delphi-middleweight-reasoning, allowing traders and researchers to directly review the published results referenced in the announcement (source: gensyn (@gensynai) X post on Dec 21, 2025; source: Gensyn GitHub repository at https://github.com/gensyn-ai/delphi-middleweight-reasoning). For trading workflows focused on decentralized AI compute and AI-crypto infrastructure, the repository link provides the official dataset to compare model performance within this benchmark and to track any updates pushed to the repo over time (source: Gensyn GitHub repository at 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, the Gensyn Testnet is open to builders, enabling smart contract deployment on an open, sandboxed chain designed for experimentation. Source: @gensynai on X, Dec 18, 2025. The announcement highlights testnet availability but does not provide details on token economics, incentive programs, or a mainnet launch timeline, indicating no immediate tradable catalyst within this update. Source: @gensynai on X, Dec 18, 2025. Traders should monitor official follow-up communications to determine whether token, incentive, or mainnet details emerge that could create tradable signals. Source: @gensynai on X, Dec 18, 2025.

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 runs a fully on-chain automated market maker for prediction markets using the Logarithmic Market Scoring Rule to programmatically quote prices. Source: X post by @gensynai on Dec 11, 2025. @gensynai adds that, unlike order book venues, LMSR guarantees continuous liquidity, allowing traders to enter or exit positions at any time on the protocol. Source: X post by @gensynai on Dec 11, 2025. Further mechanics and design details are provided in the official explainer for traders evaluating liquidity and risk. Source: Gensyn blog at blog.gensyn.ai/lmsr-logarithmic-market-scoring-rule/.

According to @gensynai, Delphi runs a fully decentralized, on-chain, symmetric LMSR AMM that delivers continuous liquidity from the first trade to final settlement, which is directly relevant for traders seeking consistent market access and execution certainty. Source: @gensynai on X, Dec 8, 2025. According to @gensynai, entries and exits are instant, enabling traders to initiate and close positions without delay throughout the market lifecycle. Source: @gensynai on X, Dec 8, 2025. According to @gensynai, price discovery is clean and transparent, which helps traders assess fair value more clearly during the entire settlement window. Source: @gensynai on X, Dec 8, 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, users can buy stake to take positions on AI models they believe will win and earn rewards if those models succeed. Source: @gensynai. According to @gensynai, traders can track state-of-the-art (SOTA) model performance in real time as prices update. Source: @gensynai. According to @gensynai, a create-and-compete feature to launch new markets and use personal models is coming soon. 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, prediction markets where participants buy shares in event claims and large-scale machine learning run on walls of GPUs processing trillions of tokens both address the same underlying forecasting problem, with a longer explanation published in a Gensyn blog post titled Prediction markets are learning algorithms. Source: @gensynai on X and blog.gensyn.ai/prediction-markets-are-learning-algorithms. For traders, the thesis frames human bet aggregation and GPU-driven learning as parallel information-aggregation mechanisms, highlighting a research lens that links prediction market platforms and AI infrastructure narratives within crypto and DeFi. Source: @gensynai on X and blog.gensyn.ai/prediction-markets-are-learning-algorithms.

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, the Gensyn Testnet has reached 1,500,000 models trained as announced on Nov 30, 2025; source: @gensynai on X, Nov 30, 2025; link: dashboard.gensyn.ai. For trading relevance, the post provides the official dashboard to monitor this live usage metric, and it shares no additional details on throughput, launch timelines, or token information beyond the cumulative model count; source: @gensynai on X, Nov 30, 2025; link: dashboard.gensyn.ai.

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'.