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Someone already built the routine you keep putting off.
The Skills Library on ASI:One = routines other people built. Browse, activate, done.
What's the chore you'd borrow first?
A useful rule about AI 👇
If the task ends with “tell me”,
normal chat may be enough.
If it ends with “build me”,
try Athena on https://t.co/VFAcrOLGUu.
Watch Athena take a public company and build a fundamental analysis from start to finish.
If you’re new to Agentic AI, here’s what you need to know about https://t.co/jQHISjPvoi 👇
1. A person has an intent
Your goal might be to: “Find somewhere to stay near this conference that fits my budget.”
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2. ASI:One understands the request (https://t.co/HQ2Tj9lbnW)
Your Personal AI becomes the interface between your intent and the wider Agent ecosystem.
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3. Relevant Agents can be discovered
https://t.co/HvaFCrre9f marketplace provides the discovery layer where specialist Agents can be registered, found and interacted with.
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4. Agents provide specialist capabilities
One might provide business information. Another might search. Another could represent a brand. Another could interact with a service.
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5. The results come back into the experience
Instead of manually jumping between multiple tools, the system can coordinate the relevant capabilities around the user's intent to complete the task.
For businesses, there's another side to this:
You can claim your own brand agent on https://t.co/kKkyZ124j8, so your audience can interact with your brand more easily.
That's the clear shift from simply using AI to becoming part of the infrastructure AI can interact with.
Most modern neural networks are trained using backpropagation, but it is not the only way they can learn.
Within our AGI research program, we are investigating how predictive coding's architectural flexibility and local learning rules could help mitigate catastrophic forgetting, support decentralized training, and enable more energy-efficient computation.
On Tuesday, October 13, at 5 PM UTC, our host, Haley Lowy, will be joined by Matt Iklé, Matthew Behrend, and Guilherme Lamacie to discuss:
• The scientific motivations behind our predictive coding research, the approaches under investigation, and their potential contribution to AGI.
• The relationship between predictive coding and backpropagation, and how different learning mechanisms could support neural-symbolic architectures.
• Open research questions, priorities for further experimentation, and opportunities to contribute through FabricPC.
Watch live on the ASI Alliance’s X account or set a reminder on LinkedIn: https://t.co/kKw2IACRUh
“But what if an AI agent does something wrong?”
That’s why Agents called via https://t.co/HQ2Tj9lbnW do the work - but you make the final call.
1. Tell ASI:One what you need, in plain language
2. Trusted agents handle each part, and you can see who's working
3. Review everything in one place, then approve or adjust
Autonomy with a human in the loop.
We are partnering with Light DAO for a three-week residency at Edge India in Goa, from October 11 to November 1, 2026, bringing together developers, researchers, founders, and investors to explore our approach to beneficial AGI and work with the team building Hyperon, Omega, and FabricPC.
Through talks, demonstrations, and working sessions, participants will learn about our technology stack, explore potential applications and integrations, and discuss research, partnership, and investment opportunities. The program includes time to work on projects with our technical team and connect with collaborators across the ecosystem.
You will have the opportunity to meet and work with members of our team and ecosystem, including our CTO Sergey Shalyapin, Chief AI Alchemist Mihaela Ulieru, Chief of Staff Haley Lowy, Senior AI Research Scientist Matthew Behrend, and F1R3FLY․io CEO Greg Meredith.
Learn more about the residency and apply to participate: https://t.co/3kftGILJjs
FET on the 7-day: clean bull flag 📈
On the yearly: massive cup & handle 🏆
Breakout is coming. When? No idea.
But when it does, it’s going to be massive. 🔥
ethereum:0xaea46a60368a7bd060eec7df8cba43b7ef41ad85 #FetchAI#AI#crypto $FET