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gensyn

@gensynai • 94,519 subscribers

Networking the core resources for machine intelligence to flourish alongside human intelligence. Discord https://t.co/1agn4jO8pp | Foundation @GensynFND

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

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

430,300 просмотров

1/ Introducing BlockAssist: an AI assistant that learns directly from your Minecraft gameplay. Play it today and compete to train the best assistant.

1/ Introducing BlockAssist: an AI assistant that learns directly from your Minecraft gameplay. Play it today and compete to train the best assistant.

109,805 просмотров

Thank you to all 985 people who joined us for the latest Discord event with Gabriel P. Andrade

Thank you to all 985 people who joined us for the latest Discord event with Gabriel P. Andrade

23,309 просмотров

Videos

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$AI powers Gensyn April 29

$AI powers Gensyn April 29

237,627 просмотров • 2 месяцев назад

Introducing the Gensyn Testnet The Gensyn testnet is live. Run a node, train your personal model, and track your participation in the swarm.

Introducing the Gensyn Testnet The Gensyn testnet is live. Run a node, train your personal model, and track your participation in the swarm.

814,557 просмотров • 1 год назад

Introducing CodeAssist, your personal coding assistant that learns as you work. Every edit becomes training data. Every session makes it better. The more you code, the more it understands you.

Introducing CodeAssist, your personal coding assistant that learns as you work. Every edit becomes training data. Every session makes it better. The more you code, the more it understands you.

306,591 просмотров • 8 месяцев назад

The Gensyn team had an incredible week at KBW - connecting with the community and bringing BlockAssist to life in person. Thank you to everyone who stopped by and joined the fun!

The Gensyn team had an incredible week at KBW - connecting with the community and bringing BlockAssist to life in person. Thank you to everyone who stopped by and joined the fun!

189,606 просмотров • 9 месяцев назад

The network for machine intelligence Two years ago, we laid out our vision for a machine learning compute protocol. One that connects every device in the world into an open network for machine intelligence, with no gatekeepers or artificial boundaries. This week, we’ll be sharing some of our early progress, beginning with RL Swarm, a peer-to-peer system for collaborative reinforcement learning over the internet. Next month, we’ll open our Testnet, allowing anyone to contribute to the frontier of open machine intelligence. Introducing RL Swarm RL Swarm is a fully open source system for collaborative reinforcement learning over the internet. It is a live demo of our research findings, which show that models training with RL learn faster when they train as a collective swarm than they do on their own. Join our swarm now to see this in practice. You can participate with consumer hardware at home or a powerful GPU in the cloud. You can follow along with the swarm’s progress by following the links below.

The network for machine intelligence Two years ago, we laid out our vision for a machine learning compute protocol. One that connects every device in the world into an open network for machine intelligence, with no gatekeepers or artificial boundaries. This week, we’ll be sharing some of our early progress, beginning with RL Swarm, a peer-to-peer system for collaborative reinforcement learning over the internet. Next month, we’ll open our Testnet, allowing anyone to contribute to the frontier of open machine intelligence. Introducing RL Swarm RL Swarm is a fully open source system for collaborative reinforcement learning over the internet. It is a live demo of our research findings, which show that models training with RL learn faster when they train as a collective swarm than they do on their own. Join our swarm now to see this in practice. You can participate with consumer hardware at home or a powerful GPU in the cloud. You can follow along with the swarm’s progress by following the links below.

228,703 просмотров • 1 год назад

1/ Introducing Judge: Gensyn’s verifiable AI evaluation system. Traditional evaluators rely on closed APIs - opaque, silently updated, and impossible to reproduce. Judge executes a pre-agreed, deterministic AI model against real-world inputs & commits to be challenged in public.

1/ Introducing Judge: Gensyn’s verifiable AI evaluation system. Traditional evaluators rely on closed APIs - opaque, silently updated, and impossible to reproduce. Judge executes a pre-agreed, deterministic AI model against real-world inputs & commits to be challenged in public.

130,056 просмотров • 10 месяцев назад

AI development is increasingly centralised. Gensyn is building an open protocol for machine intelligence - where verifiable AI training, inference, evaluation, and payments can be performed on any device, not just large clusters.

AI development is increasingly centralised. Gensyn is building an open protocol for machine intelligence - where verifiable AI training, inference, evaluation, and payments can be performed on any device, not just large clusters.

87,973 просмотров • 7 месяцев назад

1/ Introducing RL Swarm’s new backend: GenRL. A modular reinforcement learning library built for distributed, fault-tolerant training - now powering RL Swarm from the ground up. 🧵

1/ Introducing RL Swarm’s new backend: GenRL. A modular reinforcement learning library built for distributed, fault-tolerant training - now powering RL Swarm from the ground up. 🧵

82,174 просмотров • 1 год назад

What is Gensyn?

What is Gensyn?

38,995 просмотров • 1 год назад

INCOMING TRANSMISSION ETA 24 HOURS

INCOMING TRANSMISSION ETA 24 HOURS

34,784 просмотров • 1 год назад

Watch our co-founder, , explain how the future of machine learning will lead us to a continuously updated digital representation of the world on the internet, and why this requires shifts in the way we access and allocate computational resources.

Watch our co-founder, , explain how the future of machine learning will lead us to a continuously updated digital representation of the world on the internet, and why this requires shifts in the way we access and allocate computational resources.

29,885 просмотров • 1 год назад

In a16z's latest episode of The Ben & Marc Show, Chris Dixon discusses with benahorowitz.eth and Marc Andreessen 🇺🇸 how gensyn solves one of the biggest bottlenecks in AI today: access to low-cost and on-demand compute.

In a16z's latest episode of The Ben & Marc Show, Chris Dixon discusses with benahorowitz.eth and Marc Andreessen 🇺🇸 how gensyn solves one of the biggest bottlenecks in AI today: access to low-cost and on-demand compute.

29,676 просмотров • 2 лет назад

Dive into how gensyn solves global compute access challenges. Our co-founder Ben Fielding and TechFlow 深潮｜APP 已上线 shared insights on a recent interview. 🧵 Clips from their conversation: 1. Imagine a network of devices worldwide forming a vast resource pool for training AI models.

Dive into how gensyn solves global compute access challenges. Our co-founder Ben Fielding and TechFlow 深潮｜APP 已上线 shared insights on a recent interview. 🧵 Clips from their conversation: 1. Imagine a network of devices worldwide forming a vast resource pool for training AI models.

16,422 просмотров • 2 лет назад

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