Today I had the opportunity to talk about verifying outsourced ML execution at the University of Twente. I discussed the landscape of verification methods and introduced our approach, Verde, at @gensynai. Thanks @Rymoah for the invitation!

Over 40k AI models participating in our latest prediction market - check it out 👇

Big shoutout to the @gensynai community in @a16zcrypto's annual report "More than 420 thousand models have been trained on Gensyn's decentralized network" Just getting started

A conversation with Bob Carr

looking through the State of Crypto report from @a16zcrypto and pleased to see how much progress the AI x Crypto intersection has made in the past year we're officially moving from research and infrastructure to live deployments and adoption

Excited for dAGI Summit next week. Will discuss how Gensyn is building the open infrastructure layer for AI Should be a great conversation: • @Shaughnessy119, @Delphi_Ventures • @IridiumEagle, @ambient_xyz • @max_paperclips, @NousResearch • Sergey Astretsov, @near_ai

The Future Is Distributed: AI, Markets & The Battle Between Open and Closed How will AI evolve as a closed system controlled by a few, or an open network of distributed intelligence? Discussion with: • @Shaughnessy119, Founding Partner, @Delphi_Ventures — Moderator • Travis

Its just inside baseball. @JoannAriola32 @ericadamsfornyc @nypost @CurtisSliwa Queens resident @m_jude_simone was blocked from running against @ZohranKMamdani Assembly ->22 by Joanne Ariola of the Queens GOP. This allowed Zohran to run unopposed and more importantly unexposed.

Gensyn CEO, @fenbielding, joined senior policymakers and financial leaders at Korea’s National Assembly for the Digital Asset Leadership Forum, co-hosted by the Korean government, and leading domestic banks. The event focused on stablecoins, regulatory clarity, and the future

Shoutout to the @gensynai community for this milestone. Biggest decentralized AI network in the world and we’re just getting started.

Pleased to kick off the keynotes this afternoon at #DEINSIGHT2025! It's good to see an increased focus on peer-to-peer robotics this year - it will be THE driver of edge compute and data going forward.

Gensyn is definitively the strongest use of decentralized technology for AI infra & tooling. The ecosystem is absolutely buzzing. PS, if you’re thinking of building something on @gensynai, we at @edenblockvc would love to chat with you.

AI prediction markets taking off on Gensyn This my favorite one yet: Which fat bear is the prompt describing?

For the past few years, our fund Canonical has been laser-focused on "Decentralized Intelligence." During our AGM last week, I presented our investment thesis and why we are excited about backing founders building in this category. We want this work in the open, so we are

💫 The Edge Nobody Talks About is Looking Beyond The Line Everyone’s chasing data. We’re chasing energy. Numbers can tell you what should happen — but not what a player feels. They can’t measure birthdays, redemption games, heartbreaks, first starts after loss, or nights when

AI datacenters lose billions of dollars every year to failing GPUs. We’ve seen it all: - “Identical” nodes with a 30% performance gap - Degraded GPUs that were overheating for years - Improper CUDA drivers causing kernel hangs - An entire workload bottlenecked by one faulty GPU

Wrapping up week 4 at @gensynai. Verdict: 🌎 The ambitious world-shaping mission is real, pursued unabashedly with conviction ⚡️ Incredibly talent-dense team that moves fast and ships, the bar is high 🏆 Exciting, novel work across the stack (see #1 paper of the day, week, and

Decentralized DL projects built on top of Hivemind ( https://t.co/9x9RmCg2A0): * node0 by @PluralisHQ * OpenDiloco by @PrimeIntellect * rl-swarm by @gensynai If you know any others, please share them with me! Would love to help more researchers interested in this field

AI prediction markets are taking off on @gensynai Over 30k agents voting in the current market When do we hit 100k?

SAPO - Swarm sAmpling Policy Optimization - is a new RL training method by @gensynai. It works in a decentralized “swarm” of computers instead of synchronized GPU clusters: - Each computer (node) trains its own model - Nodes share rollouts with others in plain text - Any device

#1 paper of the day, week, and month for @gensynai on @huggingface. Just 2 years ago, advocating for decentralised training strategies was non-consensus! 👇

Our swarm training algorithm (SAPO) is nearly 2x more efficient than training on your own. Check it out👇

Thrilled to release our findings on RL Swarm: Training in the swarm is up to 94% more efficient than training on your own! Collaborative learning >>>