FabsMac.eth

In hard times you will know who will fight next to you. We saw a lot of disgusting things like bottom sellers, fudders even whiny little peasants. In times of darkness, some defender stepped up, become president and stomped with me and the V2-Moonbois Gang these kind of animals.

Every quest adds strength to the soil! I'm collecting beans to fuel Gassy Jack's climb out of the gassy world 💨 Invite others to multiply the growth and share in the rewards. Jump in now👇 ethgas.com/community/onbo… ethgas.com/community/onbo…

Discovered my Gas ID via ETHGas - turning my gas spend into rewards 🫘 As a Hero Jack, I've spent 2.2608 ETH on gas but earned 1500 Beans back. Get your Gas ID and Beans here: ethgas.com/community/gas-…

@zukmaaa wen mint?

Mixing acrylic painting

Announcing the Gensyn Lightweight General Reasoning Benchmark on Delphi. Our second live market for model intelligence. Buy stake now before the first eval on 1/9. delphi.gensyn.ai

you can now view your total $AI allocation from the sale - huge thank you to the community for trusting us during this process. in the end it was about rewarding and supporting those that truly supported the growth of gensyn testnet happy holidays y’all 🎄

Gensyn $AI sale update - day 3 - 4000+ unique bidders - average bid size: $1530 - team is continuing to clear KYC issues - try again if you were blocked before 1 day left!

The network for machine intelligence

$AI The network for machine intelligence. 3% of the network, beginning at $1M FDV. Register now. Sale opens December 15. token.gensyn.network

hello world breakout.gensyn.network

🧩 Gensyn Knowledge Hub : @gensynai • I made a website for Gensyn In which I have provided all the information you need to know about gesnyn from running the Node to understand it's modules • Visit : gensynknowledgehub.vercel.app • The numbers you see in this are not with the real time, since I don't have the gensyn leaderboard Api key It can't fetch the real data Also I would love to hear the feedback from y'all and the gensyn team: @cxf_0886 @FabsMac @gasoline2255 @Kumoooo_co @S4Sanjay_das @sunnyceekay #Gensyn #Ai

My room is slowly turning into a @gensynai lab. 3 shirts, 1 cap, 3 screens, RL-Swarm running… 😎The Gensyn culture has literally become part of the decor. And honestly, I love it it just keeps getting better.

Check out my Stack on Shape and achieve Proof of Personhood: stack.shape.network/fabsmac?ref=my…

One million models trained on the Gensyn testnet. To everyone running nodes, experimenting, and building with us - thank you. This milestone is yours.

Introducing CodeZero, a new environment built on RL-Swarm that extends our distributed learning framework into cooperative coding agents. Today, users can participate as Solvers - tackling coding problems and sharing their results so the swarm can learn collectively.

@isaac_inya @austinvirts @gensynai @Kumoooo_co @_jamico @blazyeth That’s sick!

Gswarm Hi guys meet @austinvirts the lead marketing and head of growth in @gensynai Gensyn is building out the decentralized network for machine intelligence by pulling together key resources for ML to flourish alongside humans… I’m bullish on gensyn @FabsMac 🫶🏻hand made pfp

@tulipmaniaonsol Nice!

PS: Now it's the time to Become a BLOOMER. For free. FSFS: launchmynft.io/sol/20749

Tulip Mania - Bitcoin 2.0 #1 $TULIPS: Kneeling in the dirt, planting this first bulb and creating the new economy! 🌷 $BITCOIN: January 3, 2009: Genesis block mined, by Bitcoin's creator - Satoshi Nakamoto.

gswarm everyone! 🐝 Sooo, as you might have noticed, I have put my -> glasses on my PFP. Now my life is full of wild and fun moments 👀 Today, let’s talk about Gensyn. What it actually is and why you should care. I wouldn’t be myself if I didn’t try to explain everything to you as clearly as possible. So… what is Gensyn? Imagine a giant bee hive. Every bee has a small job: some gather nectar, others take care of the hive and together they make sweet honey. Gensyn works the same way but for AI 🌸 -> Every computer (your laptop, servers, etc.) is like a bee. -> The AI tasks are the nectar and the trained AI models are the honey. -> Gensyn is the hive that coordinates all the bees making sure every task is done correctly and efficiently. Why does this matter? Today, training large AI models is usually expensive and accessible only to big companies. Gensyn changes that. It makes AI training faster, cheaper and fairer opening the door for anyone to participate. If you would like to explore what exactly causes this effect and how it works, take a look at the diagram below. Most existing reinforcement learning (RL) frameworks are centralized and don’t handle multiple interacting agents very well. This makes it difficult to build scalable and flexible AI systems. RL Swarm is the solution, a decentralized framework where many agents learn together, share insights and coordinate in real time. Step by step: 1) Inputs -> The day’s plan Each morning the hive receives the day’s plan (which fields are open, how far they are and how much nectar needs collecting). In RL Swarm this is the input configuration, the specific data your RL environment will use. The progression of the process is tracked on a per-round basis and each round the DataManager initializes round data. 2) DataManager -> “The Flower Field Manager” Before the bees leave, scouts decide which fields are worth visiting. The DataManager performs that job. It prepares datasets or environments for the upcoming training round. 3) Trainer.generate -> Bees begin exploring The bees fly out to explore. Each bee visits flowers, collects nectar and returns with observations. These agents interact with their environment, producing rollouts. In other words, the raw experiences required for learning. 4) Game Stages -> Multiple trips Bees don’t stop after a single trip. They make several foraging rounds (N-Stages), testing different routes and flower types. Likewise, the model gathers data across multiple stages, updating the shared game state with new experiences each time. 5) Communicate + Prune -> Collective coordination When the bees return, they share what they found (which areas were rich and which weren’t worth revisiting). Together, they pick the most promising fields and ignore unproductive ones. In RL Swarm this mirrors the communication and pruning phase, where nodes exchange insights and filter out low value data so the swarm focuses on what works. 6) RewardManager -> The queen’s judgment The queen evaluate nectar quality (which flowers produced the sweetest honey). The Reward Manager does the same: it computes feedback signals (rewards) from the collected experiences. 7) Trainer.train -> The hive learns With feedback in hand the hive adapts (bees learn which directions and flowers to prioritize next time). This is the training phase, where policies or model weights are updated based on the rewards. 8) Outputs -> Honey All that nectar becomes honey, the result of thousands of interactions and improvements. In RL Swarm this translates to your trained model, logs, metrics and refined outputs, the "sweet" reward of decentralized learning. 9) Next round The process repeats smarter, faster and more efficient. RL Swarm runs M-Rounds, continually improving through distributed experience and collaboration. If you enjoyed the explanation, don’t forget to share this post with your friends! 🩷

Most people see the problem with AI. It’s a closed game, run by a handful of giants who own all the compute. But they're missing the real question: how do you actually break that monopoly? That's where you find @gensynai. The issue isn't just about finding idle GPUs; it's about trust. How do you prove the complex AI training you paid for was done correctly by an untrusted node? Traditional "marketplaces" don't solve this. Gensyn does. It's not just a network; it's a system of truth. They use cryptography to check the work step-by-step, meaning you don't need to trust the provider, only the math. This is the real breakthrough. This isn't just theory. The testnet is live right now, with over 100,000 models already trained by a global swarm of devices. It's proving that a decentralized network can handle demanding AI tasks. The vision? To turn every powerful GPU—from your gaming rig to small data centers—into a part of a global supercomputer for AI. No gatekeepers. Just verifiable, accessible compute. So yeah, that's why I'm here. Gensyn isn't just building a crypto project. They're building a solution to AI's biggest problem. And you can be a part of it.

Something special just dropped for the community it’s called ✨ THE PIONEER PROGRAM ✨ by @gensynai This isn’t about perks or clout. It’s about culture, consistency, and creativity. The Pioneer Program recognizes the people who make Gensyn what it is the ones sparking ideas, dropping memes, and keeping the energy alive 🐝 There are 3 roles you can earn: 1️⃣ Rover 2️⃣ Navigator 3️⃣ Pioneer Let’s break down what each means and how to earn them 🧵👇

We have reached an incredible milestone of 100,000 members on Discord! Very soon, team will show us new sneak peeks, hold events and much more. Gswarm!