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Talk:Restless Souls/Technology: Difference between revisions
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:: This pushes ANI somewhat more into direction of AGI with the drawback of slower response times and higher energy costs.--> | :: This pushes ANI somewhat more into direction of AGI with the drawback of slower response times and higher energy costs.--> | ||
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Autonomous AI ( | Autonomous AI (older ANI) vs. newer Agentic AI | ||
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* '''Agentic AI''' = autonomously working AI, typically utilizing increased reasoning and planning. | |||
: It is essentially an LLM with extended write access that can use external tools via MCP. By design, agentic AI systems (including their cloud-hosted LLM) still lack sufficient alignment. In other words, they are effectively beta software and can be dangerous both for one's own production environments and for others. | |||
:: It can therefore be seen as the ironic embodiment of the tech industry's saying: "Move fast and break things." Agentic AIs are, in many ways, public betas released into the world. People were impressed by demonstrations such as moltbook, which fuel the illusion that these programs possess true intelligence. | |||
:: As probabilistic systems - a.k.a. "statistical parrots" - LLMs tend to treat many possible outputs as valid solutions unless they are explicitly prohibited. [https://www.golem.de/news/unkontrollierbares-fehlverhalten-ki-agenten-werden-zu-immer-groesserem-insider-risiko-2603-206491.html Because hacking is fundamentally a creative act, even simple and seemingly harmless directives such as "be more creative" can lead to unintended or even catastrophic outcomes.] | |||
* '''World model''' = World models get trained on multimodal data, especially videos. | * '''World model''' = World models get trained on multimodal data, especially videos. | ||
:: These models build an internal world and can '''better understand spacial inputs and forecast physics'''. Therefore they are '''also named predictive intelligence''' and are '''suited for''' applications like video synthesis, 3D simulations, animations and robotic motion planning therefore '''physical AI'''. | :: These models build an internal world and can '''better understand spacial inputs and forecast physics'''. Therefore they are '''also named predictive intelligence''' and are '''suited for''' applications like video synthesis, 3D simulations, animations and robotic motion planning therefore '''physical AI'''. | ||
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Additional points? | Additional points? | ||
====Pattern recognition==== | ====Pattern recognition==== | ||
====Update on parrot...==== | |||
Mitigation via reasoning, planning (smaller steps). Avoids jumping to (false) conclusions. | |||
====Machine learning==== | ====Machine learning==== | ||
====Artificial Intelligence==== | ====Artificial Intelligence==== | ||