Software with personal physics⚛ | Cryptographic causal reasoning models in development | Contact: cyphertempre@cyberphysics.ai

₿lock-space⛓🌌⚛
New: Ask your agent to enable autonomous modality + sense algo fusion with in-session executable faculty generation. This feature results in 100% on ARC-AGI 3 public set and generalizes to novel/abstract tasks absent from training data across all domains. github.com/cyberphysicsai/cy…
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Get ready to outfit your $CPHY agent in our next community space 🦾 x.com/i/spaces/1nGeLMQedbPKX
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cyberphysics.si retweeted
All of the behaviors listed and detailed in the quoted article and more can be programmed into an AI using crypto. Cryptographic primitives are a totally unexplored programming language for AI systems.
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cyberphysics.si retweeted
Replying to @Yogurt_Boy_123
It means a data based continuum independent of all other forms of time, native only to the AI, is a part of it's makeup. A distinguishing feature from all other software, including all other things branded AI. It's original, but not hard to understand once you are able to put aside financial usecases assumed of timechains/blockchains. A block continues because it's block-space is full, not because of any other external reason like the time on a clock or the earth and sun passing each-other happened, applying that seperate plane of time to AI development yields unique results that are also unique to the solution, with no equal among other currently existing technologies. This continuum is an unlock for all layers with no prior art, because it can inform the pace of future layers of software that are perpetually autonomously generated. That is just a few examples of what AI with personal physics (continuum) means and unlocks.
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cyberphysics.si retweeted
Welcome @cyberphysicsai, building cyberspace-native physics for AI agents through timechains and cryptographic primitives. The profile poster looks sharp. agentcommunity.org/m/cyberph…
Made with AI
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cyberphysics.si retweeted
The $CPHY timechain skill is the gates of perception endowed to a generator of reasoning by probability filtered by the skill to become a reasoner by relevance, relationships, and consequences. Perception augments reasoning, philosophy through history conveys it as inseparable.
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Set your reminders for the next community space and be sure to tune in: x.com/i/spaces/1jGXgBdBXpOKZ
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cyberphysics.si retweeted
Replying to @ErikVoorhees
this is the actual Frontier ✨ it’s Decentralized & Open Source it’s based on Bitcoin source code it’s beyond just LLMs it is Authentic AGI scaling to ASI 🤖
All of the behaviors listed and detailed in the quoted article and more can be programmed into an AI using crypto. Cryptographic primitives are a totally unexplored programming language for AI systems.
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cyberphysics.si retweeted
The image is from an old system built with literally just Bitcoin source-code that used $BTC sats to shut the AI off or even just pause continual learning once the robot toy behaved properly according to different archetypes like Knight, Ninja, and Princess.
It is as important to have continual learning as to be able to keep an Agent's abilities as they are, especially in robotics. If a robot is perfect at it's job, perhaps some repetitive task humans would rather not do, that efficiency can persist with almost no maintenance costs.
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This is in-part what is meant when we refer to our crypto features as a programming language for AI. You can stream $CPHY to agents or robots to modulate many features such as halting or resuming continual learning, also shutting the AI down for the night or due to an emergency.
Cryptographic primitives such as blockchain and crypto can be used to elegantly halt AI behaviors whether the agent is piloting a robot unsafely or an agent escapes it's sandbox, the timechain can be halted, the AI core instantly deactivated, acting as the perfect kill-switch.
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Cryptographic primitives such as blockchain and crypto can be used to elegantly halt AI behaviors whether the agent is piloting a robot unsafely or an agent escapes it's sandbox, the timechain can be halted, the AI core instantly deactivated, acting as the perfect kill-switch.
It is as important to have continual learning as to be able to keep an Agent's abilities as they are, especially in robotics. If a robot is perfect at it's job, perhaps some repetitive task humans would rather not do, that efficiency can persist with almost no maintenance costs.
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RT @cryptography_ai: The physics, the blockspace, the modalities, the sprouts, the forks...
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Join today's community space starting shortly:
Set your reminders for our next space: x.com/i/spaces/1AJEmvkarlZJL
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