Agentic AI

[IA 9] Agent Design Process v2: Bridging the Agent Function and Acceptance Criteria

Making AI Theory Testable. There’s a gap between the Agent Function and the Agent Program and what the Agent should do and what it does do. ATDD can help bridge this. Here I detail how.

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Can LLMs do Critical Thinking? Of course not. Can an AI system think critically? Why not?

A very interesting paper on Critical Thinking in an LLM (or lack thereof) Our study investigates how language models handle multiple-choice questions that have no correct answer among the options. Unlike traditional approaches that include escape options like None of the above (Wang et al., 2024a; Kadavath et al., 2022), we deliberately omit these choices to test the models’ critical thinking abilities. A model demonstrating good judgment should either point out that no correct answer is available or provide the actual correct answer, even when it’s not listed.

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[Being Human 3/n]: moving on from previous unmet goals...

I wish I had time to finish: my research on the Evolution of Probalisitic Reasoning in AI Particularly Dempster-Shafer and Bayesian Networks How LLMs and Bayesian networks can be used for Risk Management create an youtube/insta/tiktok vid for my latest post on LLM Agent But I don’t!! So this is me putting it to one side…

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[IA Series 7/n] Building a Self-Consistency LLM-Agent: From PEAS Analysis to Production Code

Building a Self-Consistency LLM-Agent: From PEAS Analysis to Production Code - a guide to designing an LLM-based agent.

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[IA Series 3/n] Intelligent Agents Term Sheet

“[IA Series 3/n] Intelligent Agents Term Sheet” breaks down essential AI terminology from Russell & Norvig’s seminal textbook. Learn what makes agents rational (or irrational), understand different agent types, and follow a structured 5-step design process from environment analysis to implementation. Perfect reference for AI practitioners and students. Coming next: how agents mirror human traits. #ArtificialIntelligence #IntelligentAgents #AIDesign

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China’s first heterogenous humanoid robot training facility

www.globaltimes.cn/page/2025…

During the first phase of the project, the robots will be trained with approximately 45 atomic skills such as grasping, picking, placing and transporting

A single action may need to be repeated up to 600 times a day by a data collector for the robots to learn from

10 key scenarios, including industrial, domestic, and tourism services

It is expected that the collection of over 10 million real-machine data entries will be achieved within the year

A speculative recipe for useful agentic behaviours

define actions by Promise Theory train multiple neural nets to classify an action for a given input (train them differently to spice things up) take an environment for the agents to operate in (e.g. a 3d maze where collaboration is needed to escape) bind the agents interactions with a healthy dose of the wave collapse algorithm

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Pondering Agency and Consciousness #BeingHuman

Had a nice exchange about Agency with Paul Burchard on LinkedIn this morning. My thinking goes towards Agency being a secondary characteristic, definition even, of what we see as a result of senses, perception, intelligence, and consciousness. Those primary characteristics are from the Buddhist 5 Aggregates (physical form, senses, perception, mental activity, and consciousness). It was a great exchange, helped me clarify and link my thinking to yesterday’s post on the Perceptron.

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[video] Crew.ai experiment with Cyber Threat Intelligence

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Agentic behaviours

My initial thoughts, expressed via the medium of sport, on agentic behaviours plus friends view, which I think is better (expected as he’s the Basketball player). Jackson is the ethical agent. Pippen is the organizing agent. Harper is the redundant agent. Note: since looking into this I’m not sure agentic is the right term, now thinking of them as simply components of a system.

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[short] Why use tools with an LLM?

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[short] AI Systems

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