Pixel is really very eye-catching, and Wall Street's first-level tick is only 002, the first Binance stood on 069, 34 times angry, this is to congratulate the partner who kept up, although Pixel has a lock-up mechanism, and 10% will be released in the early stage. But it has already returned to its original cost, and the rest continues to hold it and wait for it to rise. What is the advantage of the primary market? The primary market resources are relatively closed, and it is difficult for ordinary people to get access to first-hand channels. Unless there are institutional resources around to co-invest to obtain a batch of quotas, or can directly connect to the project party to participate, but the cost of both will be larger, we have launched four projects on Wall Street in 2024 (alt, ondo, manta, pixel) have achieved good receipts, each project we ensure that the currency is online, and the online ** will be greater than the community subscription price Thank you for recognizing Wall Street, and the pay must be proportional to the report!
The AI track has become a hot topic, and various related projects have shown a blowout development and are favored by capital.
After the recent earnings report of chip Nvidia, AI tokens ushered in a general rally, with SingularityNet (AGIX)* exceeding 20%, Fetchai (FET)** exceeding 10%, and Render (RNDR)**8%, and the overall market capitalization of AI tokens has exceeded $16.5 billion.
This article brings you the popular AI sector recently, and Gensyn, a potential primary market project actively sought by A16Z, is departing!
The four paths of AI x Web3
We can know that there are only three underlying foundations required for generative AI: algorithms, data, and computing power, and on the other hand, AI is a tool that subverts the way of production from the perspective of versatility and generative effects. The biggest role of blockchain is two: reconstructing production relations and decentralization. Therefore, I personally think that there are four paths that can be generated by the collision of the two:
1. Decentralized computing, 2. Algorithm and model collaboration system, 3. Decentralized big data, 4. AI-empowered DApp
As generative AI tools continue to advance, we'll experience more epoch-making iPhone moments in the future. Although many people scoff at the combination of AI and Web3, in fact, I think that most of the current direction is no problem, and there are only three pain points that need to be solved, necessity, efficiency, and fit. Although the fusion of the two is in the exploratory stage, it does not prevent this track from becoming the mainstream of the next bull market.
Projected Crypto AI Revenue in 2030: Bear, Fundamentals, Bull Scenarios
Will Gensyn, a decentralized computing power protocol, be the next 100-fold coin in the Web3 + AI track? Subscription.
Gensyn private placement is underway
Token Name:gensyn
Sector:polkadot、ai&data
Projected Valuation:800 million
Circulation:1 billion
Online time:Binance OKX is expected to debut in March 2024
Release Rules:No lock-up
GenSyn is a blockchain-based decentralized deep learning computing protocol that aims to build a marketplace for artificial intelligence (AGI) computing power. Complex machine learning tasks are decomposed into multiple subtasks, and highly parallel computing is achieved with the help of participants' computing resources. By automating task assignment, validation, and rewards through smart contracts, GenSyn eliminates centralized management and provides an efficient, autonomous solution for machine learning computing.
The GenSyn protocol is like an intelligent computing network designed to handle deep learning tasks. It allows people who are willing to use their own computers to participate in tasks in return as if they were helping others complete their tasks. This agreement does not require intermediaries or legal coercion, but automatically assigns tasks and pays them through a specific procedure. However, ensuring that the tasks in this network are actually completed is a complex issue. Since each task relies on the results of the previous task, verifying the completion of the task is not straightforward. This is addressed by merging three key concepts into a more efficient solution, making mission verification more reliable.
Proof of Probabilistic Learning: Using the metadata of the gradient optimization process, a certificate of work done is constructed that can be quickly verified by rerunning certain stages.
Graph-based positioning protocol: Uses a multi-granularity, graph-based positioning protocol and cross-validation to perform consistently, enabling verification efforts to be re-run and compared to ensure consistency, which is ultimately confirmed by the blockchain itself.
Truebit-style incentive game: Construct an incentive game through the mechanism of staking and slashing, ensuring that every economically rational participant performs his or her tasks honestly.
GenSyn connects developers (anyone who can train a machine learning model) with a solver (anyone who wants to train a machine learning model with their own machine). Increase the available computing power for machine learning by 10-100 times by leveraging unused, machine-learning-capable computing devices around the world, such as small data centers, PCs, M1 and M2 Macs, and even smartphones, to connect to a global machine learning supercluster. At the same time, GenSyn achieves ultra-large-scale, low-cost, and trustless training of neural networks with an innovative verification system and computing power**.
Official website: Twitter:
About the birth of gensun.
With the popularity of ChatGPT, the field of AI has become a hot topic. Various AI-related projects are developing rapidly and are favored by the capital market. In June this year, Gensyn, a UK-based blockchain AI computing protocol company, announced that it had successfully closed a $43 million Series A funding round led by A16Z, a well-known venture capital firm. In addition, CoinFund, Canonical Crypto, Protocol Labs, Eden Block, and others have joined the fundraising, in addition to several influential angel investors in the field of artificial intelligence and crypto. This financing fully demonstrates the market's optimism about the development prospects of combining blockchain technology with artificial intelligence.
GenSyn was founded in 2020 by Ben Fielding and Harry Grieve, veterans of computer science and machine learning. Harry Grieve, who studied at Brown University and the University of Aberdeen, has extensive experience in data science and is a seasoned entrepreneur. He has led a start-up from its earliest seed round to Series B and successfully sold enterprise-grade AI solutions to some of the world's largest financial institutions. A graduate of Northumbria University, Ben Fielding has served as a co-founder of SaaS platform Fair Custodian, as well as a director of Research Analytics. The extensive experience of these two founders has laid a solid foundation for Gensyn's growth.
Financing. Gensyn, a blockchain-based AI computing protocol, has raised more than $50 million in a $43 million Series A funding round led by A16Z with participation from CoinFund, Canonical Crypto, Protocol Labs, Jsquare, Eden Block, and angel investors in the digital AI and crypto space. The new funding will be used to accelerate the protocol rollout and expand its workforce, including the addition of protocol and machine learning engineers.
Gensyn enables developers to build AI systems on smaller data centers, personal gaming computers, and other connected hardware, and pay as they go. GenSyn uses a cryptographic verification network that allows users to determine whether machine learning work shared through the protocol has been completed correctly without intermediaries, and trigger payments through tokens, monetizing unused computing power in this verifiable way.
In March 2022, Gensyn closed a $6.5 million seed round led by Eden Block, Galaxy Digital, M**en 11, CoinFund, Hypersphere, Zee Prime, Jsquare, Entrepreneur First, Counterview Capital, 7percent Ventures, and ID4 ventures, as well as angel investors from Deepmind, LivePeer, Pocket Network, Centrifuge, University of Cambridge, Twitter, Google, and Parity Technologies. （coindesk）
Token situation. Gensyn is essentially a layer-1 proof-of-stake blockchain based on the Substripe protocol, which can facilitate machine learning task allocation and rewards through smart contracts, quickly realize the learning ability of AI models, and reduce the cost of deep learning training.
The cost of a single GPT-3 training session in 2020 was about $12 million, more than 270 times higher than the estimated value of about $43,000 for GPT-2 training in 2019. In general, the model complexity (size) of the best neural networks is currently doubling every three months. Gensyn's machine learning training work costs about 0$4, which is much lower than AWS ($2) and GCP ($2.)$5) and other required costs. Gensyn wants to use blockchain and other technologies to implement a decentralized, large-scale distributed deep learning efficient computing protocol, with probabilistic learning proofs and cryptocurrency incentive mechanisms.
On June 12, Gensyn, a UK-based blockchain AI computing protocol, announced the closing of a $43 million Series A funding round led by A16Z. In this revolution in the field of AI, Gensyn took the lead in handing in an answer sheet for us