Patiently waiting for tge @billions_ntwk

How gensyn splits a training graph across a global swarm Most people think decentralized ML means “run scripts on random GPUs.” That works for inference, but training is different. Forward passes, backprop, and optimizer updates need strict order and accuracy. They’re not

How gensyn splits a training graph across a global swarm Most people think decentralized ML means “run scripts on random GPUs.” That works for inference, but training is different. Forward passes, backprop, and optimizer updates need strict order and accuracy. They’re not

Understanding Gensyn’s Client SDKs the Developer Gateway to Decentralized Compute One of the most overlooked pieces of Gensyn’s architecture is the Client SDK layer. It’s the part that takes the complexity of a global, trustless compute network and turns it into something any

Exploring Gensyn research HDEE ➟While exploring Gensyn’s blogs and research papers, I came across their work on Heterogeneous Domain Expert Ensembles (HDEE) a framework showing how diversity in AI training can make models smarter, more efficient, and more open. ➟ The Problem

Exploring Gensyn research HDEE ➟While exploring Gensyn’s blogs and research papers, I came across their work on Heterogeneous Domain Expert Ensembles (HDEE) a framework showing how diversity in AI training can make models smarter, more efficient, and more open. ➟ The Problem

𝗧𝗵𝗲 𝗙𝗮𝘀𝘁𝗲𝘀𝘁 𝗪𝗮𝘆 𝗧𝗼 𝗨𝗻𝗱𝗲𝗿𝘀𝘁𝗮𝗻𝗱 𝗚𝗲𝗻𝘀𝘆𝗻+𝗧𝗵𝗲 𝗠𝗼𝘀𝘁 𝗨𝘀𝗲𝗳𝘂𝗹 𝗥𝗲𝘀𝗼𝘂𝗿𝗰𝗲𝘀 𝗙𝗼𝗿 𝗖𝗿𝗲𝗮𝘁𝗼𝗿𝘀 If you’re new to @gensynai here’s the quick version of how the ecosystem works and the official links you need to create accurate high

𝗧𝗵𝗲 𝗙𝗮𝘀𝘁𝗲𝘀𝘁 𝗪𝗮𝘆 𝗧𝗼 𝗨𝗻𝗱𝗲𝗿𝘀𝘁𝗮𝗻𝗱 𝗚𝗲𝗻𝘀𝘆𝗻+𝗧𝗵𝗲 𝗠𝗼𝘀𝘁 𝗨𝘀𝗲𝗳𝘂𝗹 𝗥𝗲𝘀𝗼𝘂𝗿𝗰𝗲𝘀 𝗙𝗼𝗿 𝗖𝗿𝗲𝗮𝘁𝗼𝗿𝘀 If you’re new to @gensynai here’s the quick version of how the ecosystem works and the official links you need to create accurate high

Verde’s training verification model is actually pretty smart. Instead of forcing two providers to re-run an entire training job Verde lets the trainer run the full task while the verifier only re-executes one randomly chosen checkpoint interval. Because the penalty for cheating

Verde’s training verification model is actually pretty smart. Instead of forcing two providers to re-run an entire training job Verde lets the trainer run the full task while the verifier only re-executes one randomly chosen checkpoint interval. Because the penalty for cheating

What I like about @gensynai isn’t just the big claims people talk about. It’s what it could mean for the small ideas we usually ignore. Most of us have thoughts we never try a quick experiment a weird concept, something you think about late at night but drop because the

What I like about @gensynai isn’t just the big claims people talk about. It’s what it could mean for the small ideas we usually ignore. Most of us have thoughts we never try a quick experiment a weird concept, something you think about late at night but drop because the

𝗛𝗮𝗽𝗽𝗲𝗻𝗶𝗻𝗴 𝘁𝗼𝗱𝗮𝘆 𝟮𝟰 𝗡𝗼𝘃 𝟭𝟳:𝟬𝟬 𝗨𝗧𝗖 @gensynai is hosting a live AMA on Discord and it’s worth joining. You’ll get: • New updates • Clear guidance • Fresh insights • Direct answers from the team • A look at what’s coming next Whether you’re early

𝗛𝗮𝗽𝗽𝗲𝗻𝗶𝗻𝗴 𝘁𝗼𝗱𝗮𝘆 𝟮𝟰 𝗡𝗼𝘃 𝟭𝟳:𝟬𝟬 𝗨𝗧𝗖 @gensynai is hosting a live AMA on Discord and it’s worth joining. You’ll get: • New updates • Clear guidance • Fresh insights • Direct answers from the team • A look at what’s coming next Whether you’re early

If @gensynai had a tiny guardian I think he’d look just like this

If @gensynai had a tiny guardian I think he’d look just like this

This is my first Gensyn post so I want to start with the most basic question what actually is Gensyn? Gensyn is a new kind of network built for AI compute, but not in the traditional centralized way we’re used to. Right now, if someone wants to train an AI model, they usually

𝗔 𝗾𝘂𝗶𝗰𝗸 𝗮𝗻𝗱 𝗲𝗮𝘀𝘆 𝗔–𝗭 𝗚𝗹𝗼𝘀𝘀𝗮𝗿𝘆 𝘁𝗼 𝗵𝗲𝗹𝗽 𝗮𝗻𝘆𝗼𝗻𝗲 𝘂𝗻𝗱𝗲𝗿𝘀𝘁𝗮𝗻𝗱 @gensynai 𝗶𝗻 𝗺𝗶𝗻𝘂𝘁𝗲𝘀 𝗔 — 𝗔𝗜 𝗖𝗼𝗺𝗽𝘂𝘁𝗲 Power (GPU/CPU) used to train/run ML models. Gensyn unifies global compute. 𝗖 — 𝗖𝗼𝗺𝗽𝘂𝘁𝗲 𝗣𝗿𝗼𝘃𝗶𝗱𝗲𝗿 Anyone

𝗔 𝗾𝘂𝗶𝗰𝗸 𝗮𝗻𝗱 𝗲𝗮𝘀𝘆 𝗔–𝗭 𝗚𝗹𝗼𝘀𝘀𝗮𝗿𝘆 𝘁𝗼 𝗵𝗲𝗹𝗽 𝗮𝗻𝘆𝗼𝗻𝗲 𝘂𝗻𝗱𝗲𝗿𝘀𝘁𝗮𝗻𝗱 @gensynai 𝗶𝗻 𝗺𝗶𝗻𝘂𝘁𝗲𝘀 𝗔 — 𝗔𝗜 𝗖𝗼𝗺𝗽𝘂𝘁𝗲 Power (GPU/CPU) used to train/run ML models. Gensyn unifies global compute. 𝗖 — 𝗖𝗼𝗺𝗽𝘂𝘁𝗲 𝗣𝗿𝗼𝘃𝗶𝗱𝗲𝗿 Anyone