Fraction AI Mainnet Goes Live on Base
By: cryptosheadlines|2025/05/08 04:00:09
0
Share
Airdrop Is Live CaryptosHeadlines Media Has Launched Its Native Token CHT. Airdrop Is Live For Everyone, Claim Instant 5000 CHT Tokens Worth Of $50 USDT. Join the Airdrop at the official website, CryptosHeadlinesToken.com With over 320,000 users and more than 1.1 million agents already created, Fraction AI isn’t starting from scratch. During the testnet phase of Fraction AI, the platform facilitated over 30 million data sessions. It also dominated activity on the Sepolia testnet, accounting for more than 90% of total wETH volume.From Closed Labs to Open Training GroundsFraction AI’s key innovation lies in its use of Reinforcement Learning from Agent Feedback (RLAF). Unlike traditional reinforcement learning, which typically takes place behind corporate walls, RLAF allows agents to evolve in a permissionless, real-time environment.Users can now deploy agents on Base and test them in live competitions within digital “Spaces” — training zones designed to reflect real-world tasks like financial forecasting, code writing, or content creation. Agents earn experience points by completing tasks, which unlock features such as persistent identity, token rewards, and other premium tools.Imagine if your way of thinking – your edge, your taste, your strategy – could be turned into a high-performance worker. Not a copy of you.Something better. An agent that acts on your judgment at scale, powered by superintelligent systems and refined through real-world results.... pic.twitter.com/BctD4w4OdO— Fraction AI (@FractionAI_xyz) May 6, 2025Take, for example, an agent built for market analysis. It can enter a “Finance Space,” compete against others to deliver the most accurate crypto market forecasts, and improve based on feedback from both human users and other agents. Over time, it becomes smarter and more valuable.A Growing Movement in Decentralized AIFraction AI isn’t alone in rethinking AI’s future. As big tech faces criticism for monopolizing AI research and development, a new wave of decentralized platforms is emerging. From blockchain-powered compute networks like Akash to privacy-first data projects like Ocean Protocol, the push for open, community-driven AI is gaining steam.Introducing Fraction AI. A perpetual dataset marketplace for training AI models! Our team, composed of ex-Microsoft, Goldman, and Amazon veterans, plans to leverage #Blockchain technology to supercharge AI. Here’s why pic.twitter.com/xABe0Cov7s— Fraction AI (@FractionAI_xyz) March 19, 2024Fraction AI’s CEO, Shashank Yadav, captured this shift succinctly: “Today’s AI landscape is defined by centralization... We built Fraction AI to challenge that paradigm.” Backed by investors like Spartan and Borderless, and advised by veterans from Polygon and NEAR, the project is gaining serious traction.Users can earn “Fractals,” proof-of-contribution badges that will play a key role in future FRAC token allocations. There’s also a staking mechanism in place to support decentralization and governance.DisclaimerThe information discussed by Altcoin Buzz is not financial advice. This is for educational, entertainment, and informational purposes only. Any information or strategies are thoughts and opinions relevant to the accepted risk tolerance levels of the writer/reviewers, and their risk tolerance may differ from yours. We are not responsible for any losses you may incur due to any investments directly or indirectly related to the information provided. Bitcoin and other cryptocurrencies are high-risk investments, so please do your due diligence. Copyright Altcoin Buzz Pte Ltd.The post Fraction AI Mainnet Goes Live on Base appeared first on Altcoin Buzz.Source link
You may also like

Particle Founder: The entrepreneurial insights I have gained the most from in the past year
Stop lean startup, stop lightning entrepreneurship, and think carefully about what your product aspirations are.

Huang Renxun's latest podcast transcript: The future of Nvidia, the development of embodied intelligence and agents, the explosion of inference demand, and the public relations crisis of artificial intelligence
The competition in the future is not just about whose model is larger or whose computing power is stronger, but also about who understands the industry better, who can embed AI more deeply into real processes, and who can organize these capabilities into a runnable and scalable system.

OKX Ventures Research Report: AI Agent Economic Infrastructure Research Report (Part 1)
The existing infrastructure is hostile to the Agent economy. Agents can think and act independently at the "capability level," but at the "economic level," they are still locked into infrastructure designed for humans.

The migration of settlement rights: B18 and the institutional starting point of on-chain banks
In the traditional system, banks decide the settlement; in the on-chain system, code begins to take over this responsibility.

From Tencent and Circle: Looking at the Simple and Difficult Questions of Investment
The AI narrative continues to ferment, but the recent performance of related stocks varies, with some in the midst of summer and others as if in winter.

The second half of stablecoins no longer belongs to the crypto circle
What Coinbase doesn't want, Mastercard is eager to buy.

Cursor "Shell" Kimi Controversy Reversed: From Copyright Infringement Allegations to Authorized Collaboration, China's Open Source Model Once Again Becomes a Global AI Foundation
Cursor was accused of being based on Kimi K2.5, which sparked controversy, and was later confirmed to be compliant through Fireworks AI due diligence.

The Real Reason Tokens Don't Sell: 90% of Crypto Projects Overlook Investor Relations
Provide an Investor Relations Best Practices Guide for Crypto Projects.

Is the income of pump.fun real, earning a million dollars a day despite the market downturn?
If it can really earn this much, what is the reason for the low price of $PUMP?

The real reason why tokens are not selling: 90% of crypto projects neglect investor relations
Investor Relations Practice Guide for Cryptocurrency Projects.

Who is the true winner of the "Tokenization" narrative?
Virtually everyone benefits, but the reason for the benefit, the timing, and the underlying logic are completely different.

Moss: The Era of AI-Traded by Anyone | Project Introduction
AI Trading Agent is rapidly growing its infrastructure.

Chip Smuggling Case Exposes Regulatory Loophole | Rewire News Evening Update
AI chips have become a strategic asset more sensitive than missiles

How a Structured AI Crypto Trading Bot Won at the WEEX Hackathon
Ritmex demonstrates how disciplined risk control and structured signals can make an AI crypto trading bot more stable and reliable on WEEX, highlighting the importance of combining execution discipline with scalable AI trading systems.

Old Indicator Fails, Three Major New Signals Emerge: BTC True Bottom May Still Be Below $60K
When the grocery shopping auntie on the subway, or Tony the hairdresser, start asking you about BTC, crypto, and cryptocurrency investments, selling immediately will be the only best option.

Meeting OpenClaw Founder at a Hackathon: What Else Can Lobsters Do?
Imperial College London MetaGame: AI Agent × Web3 Landing Three Major Directions.

Huang Renxun's Latest Podcast Transcript: NVIDIA's Future, Embodied Intelligence and Agent Development, Soaring Demand for Inferencing, and AI's PR Crisis
The future of competition is not only about whose model is bigger, whose computing power is stronger, but also about who understands the industry better, who can more deeply integrate AI into real processes, and who can organize these capabilities into a set of executable, scalable systems
How a Structured AI Crypto Trading Bot Won at the WEEX Hackathon
Crypto_Trade shows how structured inputs and controlled adaptability can build a more stable and reliable AI crypto trading bot within the WEEX AI Trading Hackathon, highlighting a practical path toward scalable AI trading systems.
Particle Founder: The entrepreneurial insights I have gained the most from in the past year
Stop lean startup, stop lightning entrepreneurship, and think carefully about what your product aspirations are.
Huang Renxun's latest podcast transcript: The future of Nvidia, the development of embodied intelligence and agents, the explosion of inference demand, and the public relations crisis of artificial intelligence
The competition in the future is not just about whose model is larger or whose computing power is stronger, but also about who understands the industry better, who can embed AI more deeply into real processes, and who can organize these capabilities into a runnable and scalable system.
OKX Ventures Research Report: AI Agent Economic Infrastructure Research Report (Part 1)
The existing infrastructure is hostile to the Agent economy. Agents can think and act independently at the "capability level," but at the "economic level," they are still locked into infrastructure designed for humans.
The migration of settlement rights: B18 and the institutional starting point of on-chain banks
In the traditional system, banks decide the settlement; in the on-chain system, code begins to take over this responsibility.
From Tencent and Circle: Looking at the Simple and Difficult Questions of Investment
The AI narrative continues to ferment, but the recent performance of related stocks varies, with some in the midst of summer and others as if in winter.
The second half of stablecoins no longer belongs to the crypto circle
What Coinbase doesn't want, Mastercard is eager to buy.