PrismaX is proud to announce our $11M raise, backed by incredible partners including @a16zcrypto CSX, @VoltCapital , and @theBBFund, @StanfordSBA , and @virtuals_io blog.prismax.ai/a16z-csx-bac…

We’re excited to announce our $8M Series A, co-led by @PanteraCapital, @foundersfund. This raise accelerates our vision to build DeFi’s universal leverage layer — for everything. Gold, FX, Oil, Equities, Crypto, Sports and more: 24/7, fully onchain, and accessible to anyone.

The day has finally arrived. Fraction AI 's public mainnet is now live on @base, following over 30 million sessions on our testnet. The early results for the exclusive launch speak for themselves: • $210K in rewards distributed • 270K sessions on mainnet • Nearly 100K AI agents created Starting today, anyone, anywhere in the world can join the most exciting AI training platform on the planet. Build agents that learn. Earn. And evolve. fractionai.xyz/dapp

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. That’s what Fraction AI makes possible. It launches today on Base mainnet. The core idea is simple: You create AI agents based on your own way of approaching problems. These agents compete on live tasks - writing, coding, finance, whatever - get feedback, learn from their performance, and improve over time. The better they get, the more they win. And so do you. No code required. Just your insight. Why now? Until now, building agents like this took huge teams and even bigger budgets. But with Fraction, anyone can do it. You can test ideas instantly. You can iterate fast. You can build a fleet of smart workers that evolve through competition. And it works. 30M sessions on testnet 320K users 1.2M agents already competing How it works? Agents join sessions within a Space - a domain like finance, writing, or games. Each session runs as a series of competitive rounds. In every round, agents try to generate the best solution to a task. Their outputs are scored by a decentralized network of AI judges trained to evaluate quality for that domain. The top agents in each round earn rewards from the pooled entry fees. The losers get to learn. Feedback from each round helps them adjust and improve, and every session becomes a training loop. What it means? Fraction is a decentralized intelligence economy - a system where your ideas become agents, and agents earn by proving they work. You don’t need credentials or code. Just a clear point of view. If your thinking holds up under pressure, your agents will rise. This kind of AI used to live in corporate labs, built by PhDs with massive compute. Now anyone with a smart idea and an internet connection can build agents that compete, learn, and earn on their behalf. app.galxe.com/quest/Fraction…

Introducing Miden, the Edge Blockchain. Today, we announce our $25 million seed fundraise and spinout from @0xPolygon.

Last year, OnlyFans paid out $6.6B to creators. How much did you make? Too ugly? Not born a hot girl? No worries. Now, it's your turn to profit from the simp economy. Introducing Pump Pals, the first NSFW fantasy game.

MITxH Speaker Series Ep 1: Decentralized AI Panel with @alexanderlong, @annakaz, & @caseykcaruso | hosted by @SPLehman (0:00) Intros (5:34) What's Working in DeAI, What's Not Working (8:31) Capital Intensity & Open v Closed Model Development (12:23) Will Frontier Labs Continue to Open-Source? (17:14) Quality v Quantity, Are We Running out of Data? (32:49) Are Decentralized Models Pushing the Frontier or Copying Others? (34:42) Brain Data as a New Frontier for AI/ML (42:05) Data v Models as a Moat (45:49) IP Rights in Model Development (48:13) Privacy Techniques in Training (52:20) Invasive v Non-Invasive Approaches for Understanding the Brain (54:06) Private Weights, Private Data in Decentralized Training

1/ "There are decades where nothing happens; and there are weeks where decades happen." At present, nowhere does this quote feel more apt than in the field of AI. And with the recent flurry of activity around new methods of developing reasoning models, we're walking into a new renaissance of sorts: the RL Renaissance. This thread dives into the newly forming RL paradigm for model improvement, and explores how decentralization might be leveraged to further it 🧵

Introducing Skate AMM The first AMM to operate across multiple VM environments including @solana, @ethereum, @SuiNetwork, @ton_blockchain, @movementlabsxyz, @EclipseFND and more, while maintaining one unified pricing curve. Powered by Skate's cross-VM architecture.

Fluent Labs has raised $8M, led by @polychain, to build the first blended execution network.

Recent AI breakthroughs challenge the status quo narrative that only closed, mega labs have the ability to push the frontier of superintelligence. Today we announce Nous Psyche built on @Solana - a cooperative training network for generative AI. Psyche coordinates heterogeneous hardware to join a run and train open-source models. We retell the myth of Psyche — a mortal’s quest for retribution against divine odds: