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Lilypad Network
@Lilypad_Tech
The Collective Intelligence Protocol for AI thats uncensored, unlocked and user-owned - like it should be
Open AI Infrastructure for user-owned AI Pipelines
Open AI Infrastructure for user-owned AI Pipelines
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Latest posts 5
After years of pushing the boundaries of decentralised AI, we're sad to announce that Lilypad is closing.
We set out to prove that open, verifiable compute could change how AI is built - and we firmly showed it’s not just possible - but advantageous.
We set out to prove that open, verifiable compute could change how AI is built - and we firmly showed it’s not just possible - but advantageous.
Latency Isn’t Just a Tech Stat
⚡ Latency = how fast a model responds.
It’s not just for devs. It affects:
• Real-time robotics
• Live AI agents
• Inference in the browser
• User satisfaction in chat
Even if two models score the same in accuracy…
The one that responds faster wins in production.
Latency is the difference between research and reality.
⚡ Latency = how fast a model responds.
It’s not just for devs. It affects:
• Real-time robotics
• Live AI agents
• Inference in the browser
• User satisfaction in chat
Even if two models score the same in accuracy…
The one that responds faster wins in production.
Latency is the difference between research and reality.
LLMs make headlines.
Specialized models make progress.
In fields like biotech, logistics, and law, models aren't flexing general knowledge, they’re lifting specific weights:
• Is this mutation significant?
• Is this satellite image showing flood risk?
• Is this transaction anomalous?
• Is this contract clause enforceable?
These are not "ask me anything" moments.
They're "get it right or get sued" moments.
And they deserve the infrastructure to match.
Lilypad’s model-agnostic, decentralized platform lets these models live close to their data, execute with transparency, and scale without central gatekeepers.
The future isn't general. It's domain-specific.
Specialized models make progress.
In fields like biotech, logistics, and law, models aren't flexing general knowledge, they’re lifting specific weights:
• Is this mutation significant?
• Is this satellite image showing flood risk?
• Is this transaction anomalous?
• Is this contract clause enforceable?
These are not "ask me anything" moments.
They're "get it right or get sued" moments.
And they deserve the infrastructure to match.
Lilypad’s model-agnostic, decentralized platform lets these models live close to their data, execute with transparency, and scale without central gatekeepers.
The future isn't general. It's domain-specific.
From script to moving image without a camera.
Text-to-Video models generate video clips from written prompts. They're early-stage but rapidly improving and already unlocking real value for creators.
Whether you're prototyping an idea, pitching a concept, or experimenting with storytelling, this category opens up entirely new workflows.
🔧 Common uses:
– Video prototyping
– Storytelling & animation
– Short-form marketing content
– Explainers & moodboarding
⚙️ Examples:
– Runway → runwayml.com
– Pika Labs → pika.art
We’re still early. But the jump from still images to motion is happening fast and this is where it starts.
Text-to-Video models generate video clips from written prompts. They're early-stage but rapidly improving and already unlocking real value for creators.
Whether you're prototyping an idea, pitching a concept, or experimenting with storytelling, this category opens up entirely new workflows.
🔧 Common uses:
– Video prototyping
– Storytelling & animation
– Short-form marketing content
– Explainers & moodboarding
⚙️ Examples:
– Runway → runwayml.com
– Pika Labs → pika.art
We’re still early. But the jump from still images to motion is happening fast and this is where it starts.
