
Trading Moment: “TACO-Trade” Leads the Crypto Rebound—Bitcoin Back at $115 k, a New Cycle Begins?
Market Snap-back & Leverage Reset A single sound-bite did the trick. After Trump and Vance struck a noticeably softer tone on the U.S.–China trade war, equity futures flashed green and crypto followed in a violent relief rally. The brutal draw-down that preceded it is already being framed as the pivotal “cycle flip” of 2025. Funding rates on perpetual swaps have collapsed to lows last seen in the depths of the 2022 bear, proof that the market has just lived through one of the deepest de-lever...

Binance Wallet’s First Bonding-Curve TGE: What Makes Aptos DEX Hyperion Stand Out?
A New Way to Launch: Bonding-Curve TGE for RION Today at 16:00 UTC, Binance Wallet will debut its first-ever Bonding-Curve Token Generation Event (TGE), releasing the native token RION of Aptos-native DEX Hyperion. Participation is limited to users who hold Binance Alpha points; pricing and liquidity will be determined in real time by an on-chain bonding curve.Protocol Design: Hybrid Order-Book + AMM + Aggregator Hyperion is a hybrid decentralized exchange built natively on Aptos. It fuses an...

Which New AI Projects Are Worth Researching Ahead of the Hype?
Discovering protocols before they become hot topics and sharing them with you is extremely interesting. In my earlier "Be Early" series, I introduced projects like @TopHat_One, @Duck_Chain, @Cortex_Protocol, and @Infinit_Labs. These insights mainly come from the Moni Discover tool by @getmoni_io, an intelligent platform that helps users discover early-stage protocols. So, what new findings are on my January watchlist? Let's take a look! Limitus: A New Platform Integrating Web2, Web3, and AI @...
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Trading Moment: “TACO-Trade” Leads the Crypto Rebound—Bitcoin Back at $115 k, a New Cycle Begins?
Market Snap-back & Leverage Reset A single sound-bite did the trick. After Trump and Vance struck a noticeably softer tone on the U.S.–China trade war, equity futures flashed green and crypto followed in a violent relief rally. The brutal draw-down that preceded it is already being framed as the pivotal “cycle flip” of 2025. Funding rates on perpetual swaps have collapsed to lows last seen in the depths of the 2022 bear, proof that the market has just lived through one of the deepest de-lever...

Binance Wallet’s First Bonding-Curve TGE: What Makes Aptos DEX Hyperion Stand Out?
A New Way to Launch: Bonding-Curve TGE for RION Today at 16:00 UTC, Binance Wallet will debut its first-ever Bonding-Curve Token Generation Event (TGE), releasing the native token RION of Aptos-native DEX Hyperion. Participation is limited to users who hold Binance Alpha points; pricing and liquidity will be determined in real time by an on-chain bonding curve.Protocol Design: Hybrid Order-Book + AMM + Aggregator Hyperion is a hybrid decentralized exchange built natively on Aptos. It fuses an...

Which New AI Projects Are Worth Researching Ahead of the Hype?
Discovering protocols before they become hot topics and sharing them with you is extremely interesting. In my earlier "Be Early" series, I introduced projects like @TopHat_One, @Duck_Chain, @Cortex_Protocol, and @Infinit_Labs. These insights mainly come from the Moni Discover tool by @getmoni_io, an intelligent platform that helps users discover early-stage protocols. So, what new findings are on my January watchlist? Let's take a look! Limitus: A New Platform Integrating Web2, Web3, and AI @...
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Recent Updates on Gensyn
On April 8th, Gensyn retweeted a post from Coinfund, which translated reads: "The launch of the Gensyn testnet is a milestone for the development of decentralized artificial intelligence!" It is reported that the Gensyn testnet went live on April 1st. Users can run nodes, train personal models, and track their participation in the cluster.
On April 5th, Gensyn's Chief Operating Officer, Jamico, announced the first-week data of the testnet: 5,097 verified unique users, a total of 1,892 models trained and uploaded to Hugging Face, with 10,070 instances of decentralized artificial intelligence in action.
Introduction to Gensyn
Gensyn is a blockchain-based decentralized deep learning computing protocol aimed at establishing an artificial general intelligence (AGI) computing power market. It breaks down complex machine learning tasks into multiple subtasks and leverages participants' computing resources to achieve highly parallelized computation.
Gensyn is essentially a first-layer proof-of-stake blockchain based on the Substrate protocol. It can facilitate machine learning task allocation and rewards through smart contracts, quickly realizing AI model learning capabilities and reducing the cost of deep learning training. Through an innovative verification system and computing power supply, Gensyn achieves large-scale and low-cost neural network training without the need for trust.
Gensyn System Participants
Gensyn's system mainly includes four key participants: Submitters, Solvers, Verifiers, and Challengers:
Submitters: The end-users of the system, who provide the tasks to be computed and pay for the completed work units.
Solvers: The main workers of the system, who execute model training and generate proofs that need to be checked by verifiers.
Verifiers: They link the non-deterministic training process to deterministic linear computation, replicate a part of the solver's proof, and compare the distance with the expected threshold.
Challengers: As the last line of defense, challengers review the work of verifiers and raise objections when problems are found, in hopes of earning a reward.
Gensyn Team
Gensyn was founded in 2020 by Ben Fielding and Harry Grieve, both seasoned in computer science and machine learning research:
Ben Fielding, co-founder of Gensyn, holds a Ph.D. in Computer Science from Northumbria University.
Harry Grieve, co-founder of Gensyn, was previously an angel investor and graduated from Brown University.
Gensyn Financing
On June 11, 2023, Gensyn completed a $43 million Series A round led by a16z Crypto, with participation from CoinFund, Canonical Crypto, Protocol Labs, Eden Block, Jsquare, and others.
On March 21, 2022, Gensyn completed a $6.5 million seed round with participation from Eden Block, Galaxy Digital, CoinFund, Maven11, Hypersphere Ventures, Zee Prime Capital, Entrepreneur First, Jsquare, Counterview Capital, 7percent Ventures, Id4 Ventures, and others.
Summary of Gensyn
Gensyn's core goal is to democratize AI through decentralized initiatives, enabling more people to participate in the innovation and application of AI technology. With clear technical barriers, its main functions are to train personal models and provide a computing power platform for other AI projects. There will be a huge demand in this direction, and Gensyn is likely to become one of the leading projects in this field.
Recent Updates on Gensyn
On April 8th, Gensyn retweeted a post from Coinfund, which translated reads: "The launch of the Gensyn testnet is a milestone for the development of decentralized artificial intelligence!" It is reported that the Gensyn testnet went live on April 1st. Users can run nodes, train personal models, and track their participation in the cluster.
On April 5th, Gensyn's Chief Operating Officer, Jamico, announced the first-week data of the testnet: 5,097 verified unique users, a total of 1,892 models trained and uploaded to Hugging Face, with 10,070 instances of decentralized artificial intelligence in action.
Introduction to Gensyn
Gensyn is a blockchain-based decentralized deep learning computing protocol aimed at establishing an artificial general intelligence (AGI) computing power market. It breaks down complex machine learning tasks into multiple subtasks and leverages participants' computing resources to achieve highly parallelized computation.
Gensyn is essentially a first-layer proof-of-stake blockchain based on the Substrate protocol. It can facilitate machine learning task allocation and rewards through smart contracts, quickly realizing AI model learning capabilities and reducing the cost of deep learning training. Through an innovative verification system and computing power supply, Gensyn achieves large-scale and low-cost neural network training without the need for trust.
Gensyn System Participants
Gensyn's system mainly includes four key participants: Submitters, Solvers, Verifiers, and Challengers:
Submitters: The end-users of the system, who provide the tasks to be computed and pay for the completed work units.
Solvers: The main workers of the system, who execute model training and generate proofs that need to be checked by verifiers.
Verifiers: They link the non-deterministic training process to deterministic linear computation, replicate a part of the solver's proof, and compare the distance with the expected threshold.
Challengers: As the last line of defense, challengers review the work of verifiers and raise objections when problems are found, in hopes of earning a reward.
Gensyn Team
Gensyn was founded in 2020 by Ben Fielding and Harry Grieve, both seasoned in computer science and machine learning research:
Ben Fielding, co-founder of Gensyn, holds a Ph.D. in Computer Science from Northumbria University.
Harry Grieve, co-founder of Gensyn, was previously an angel investor and graduated from Brown University.
Gensyn Financing
On June 11, 2023, Gensyn completed a $43 million Series A round led by a16z Crypto, with participation from CoinFund, Canonical Crypto, Protocol Labs, Eden Block, Jsquare, and others.
On March 21, 2022, Gensyn completed a $6.5 million seed round with participation from Eden Block, Galaxy Digital, CoinFund, Maven11, Hypersphere Ventures, Zee Prime Capital, Entrepreneur First, Jsquare, Counterview Capital, 7percent Ventures, Id4 Ventures, and others.
Summary of Gensyn
Gensyn's core goal is to democratize AI through decentralized initiatives, enabling more people to participate in the innovation and application of AI technology. With clear technical barriers, its main functions are to train personal models and provide a computing power platform for other AI projects. There will be a huge demand in this direction, and Gensyn is likely to become one of the leading projects in this field.
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