Entropy deploy program
К концу этого руководства вы развернете программу на блокчейне Entropy и сможете взаимодействовать с ней для создания подписей.

A project is only as strong as its team. Meet the founders of Gensyn, who combine deep AI research w…
A project is only as strong as its team. Meet the founders of @gensynai, @fenbielding & @_grieve, who combine deep AI research with a crypto-cypherpunk ethos.

The Bull Case for @gensynai: A $50M Bet on the Future of Intelligence.
Why did @a16zcrypto lead a $43M round into @gensynai? It wasn’t just about GPUs. It was a bet on who will own the infrastructure for intelligence itself. Let’s break down the bull case.
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Entropy deploy program
К концу этого руководства вы развернете программу на блокчейне Entropy и сможете взаимодействовать с ней для создания подписей.

A project is only as strong as its team. Meet the founders of Gensyn, who combine deep AI research w…
A project is only as strong as its team. Meet the founders of @gensynai, @fenbielding & @_grieve, who combine deep AI research with a crypto-cypherpunk ethos.

The Bull Case for @gensynai: A $50M Bet on the Future of Intelligence.
Why did @a16zcrypto lead a $43M round into @gensynai? It wasn’t just about GPUs. It was a bet on who will own the infrastructure for intelligence itself. Let’s break down the bull case.
Share Dialog
Share Dialog
First, what are AI agents? Think beyond today’s chatbots. An autonomous agent is an AI system that can perceive its environment, make decisions, and take actions to achieve goals without direct human command.
These agents will need to constantly learn and evolve to be effective, creating an unprecedented, continuous demand for AI training.
Where would this new AI agent economy get its power? The current options are a poor fit.
Centralized cloud providers like AWS or Google Cloud are built for human-centric workflows. They are:
Permissioned: Requiring accounts, contracts, and credit cards. An autonomous agent can’t just sign up for a corporate cloud account.
Expensive: With AI training costs already skyrocketing, a world with millions of agents constantly learning would be economically impossible on a centralized cost model.
Controlling: This model would force a decentralized agent economy to be dependent on a few centralized tech giants, defeating the purpose of autonomy.
This is where @gensynai‘s design becomes critical. It isn’t just an alternative; it’s the natural infrastructure for an autonomous future.
Truly Permissionless: An AI agent with a crypto wallet can access the global compute network directly. No humans, no accounts, no gatekeepers. This is the foundation for true machine autonomy.
A Native Machine Economy: The protocol facilitates trustless, programmatic payments. Agents can seamlessly pay for the exact compute they need, creating a fluid, on-demand economy for intelligence.
Decentralized and Resilient: By connecting the world’s latent hardware, @gensynai creates a global, resilient, and cost-effective energy source for AI. It’s not just a service; it’s a public utility for machine intelligence.
@gensynai isn’t just building a cheaper way to train today’s models. It’s building the fundamental “training ground and energy source” for the next generation of AI.
As autonomous systems grow, they will need autonomous compute. By building the open, permissionless rails for this new economy, @gensynai is positioning itself to power the future of intelligence itself.
Follow me, and I will tell you in detail everything you need to know about this project — from its groundbreaking technology to its role in the future of intelligence.
Stay tuned!
#Gensyn #AI #DePIN #Crypto #AIAgents
First, what are AI agents? Think beyond today’s chatbots. An autonomous agent is an AI system that can perceive its environment, make decisions, and take actions to achieve goals without direct human command.
These agents will need to constantly learn and evolve to be effective, creating an unprecedented, continuous demand for AI training.
Where would this new AI agent economy get its power? The current options are a poor fit.
Centralized cloud providers like AWS or Google Cloud are built for human-centric workflows. They are:
Permissioned: Requiring accounts, contracts, and credit cards. An autonomous agent can’t just sign up for a corporate cloud account.
Expensive: With AI training costs already skyrocketing, a world with millions of agents constantly learning would be economically impossible on a centralized cost model.
Controlling: This model would force a decentralized agent economy to be dependent on a few centralized tech giants, defeating the purpose of autonomy.
This is where @gensynai‘s design becomes critical. It isn’t just an alternative; it’s the natural infrastructure for an autonomous future.
Truly Permissionless: An AI agent with a crypto wallet can access the global compute network directly. No humans, no accounts, no gatekeepers. This is the foundation for true machine autonomy.
A Native Machine Economy: The protocol facilitates trustless, programmatic payments. Agents can seamlessly pay for the exact compute they need, creating a fluid, on-demand economy for intelligence.
Decentralized and Resilient: By connecting the world’s latent hardware, @gensynai creates a global, resilient, and cost-effective energy source for AI. It’s not just a service; it’s a public utility for machine intelligence.
@gensynai isn’t just building a cheaper way to train today’s models. It’s building the fundamental “training ground and energy source” for the next generation of AI.
As autonomous systems grow, they will need autonomous compute. By building the open, permissionless rails for this new economy, @gensynai is positioning itself to power the future of intelligence itself.
Follow me, and I will tell you in detail everything you need to know about this project — from its groundbreaking technology to its role in the future of intelligence.
Stay tuned!
#Gensyn #AI #DePIN #Crypto #AIAgents
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