AI & Web3 Solutions

Munich, Germany
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Navigating Agentic AI in the Enterprise: Why Guardrails Are Essential datarella.com/navigating-age…
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An end-to-end Agent system needs more than intelligence. It needs: Reasoning → understand the constraints Discovery → find the right service Communication → exchange information with the Agent Tools → access live systems Transaction → complete the action Control → stop for confirmation when needed That’s where Agent utility gets real - and it’s exactly what Fetch.ai is building.
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Your AI can use more tools now. Choose which ones to use, exactly when they’re needed. Open a chat or create a task, then: → Tap your connected apps → Open the tools inside each one → See what can 'Read' vs 'Write' → Turn on only what that workflow needs → Keep going without leaving the conversation Connected Services now sit right next to the ASI:One chat box: asi1.ai/blog/tools-where-you…
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How to manage AI risks while reaping the benefits - As the world debates how to regulate artificial intelligence, Europe’s lawmakers are doing a lot of the heavy lifting. nature.com/articles/d41586-0…
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Can AI ever be conscious? The question stems from a misconception: A book outlines how the fields of artificial intelligence, psychology and philosophy have neglected a key aspect of consciousness: the body. nature.com/articles/d41586-0…
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Why I’m Convinced Institutional Device Enrollment with PRNU Can Become the Gold Standard for Scientific Integrity reuter.ai/2026/07/27/why-im-…
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50 specialized AI Agents ran a simulation of the US economy overnight. A winning @LAHacks project, MultiEval, used @Fetch_ai's specialist agents to test how multi-agent systems should delegate work. This system autonomously improved another Agent harness and was used to run a 50-Agent simulation of the US economy. Agents evaluating Agents, all via ASI:One. devpost.com/software/multiva…
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