Agentic AI Explained: The Future of Autonomous AI Systems in Business & Technology https://
go.kenovy.com/7ay5 What if AI could set its own goals and make independent decisions — just like a human? Agentic AI represents the next evolution of artificial intelligence, moving
AGI
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Agentic AI: The Future of Autonomous Intelligent Systems
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LLMs alone won’t lead to Artificial General Intelligence
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For our free newsletter this week, we talk about why LLMs won’t led to Artificial General Intelligence (AGI).
@IrenaCronin and I write this newsletter every week.
LLMs alone are unlikely to lead to AGI. They primarily predict text and can imitate planning and reasoning -
Benchmark Contamination Undermines Recent AGI Achievement Claims
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Breaking: Benchmarks are STILL contaminated. Which renders all these recent “we achieved AGI” arguments totally sus.
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xAI Grok 4.20 features four parallel expert agents
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BREAKING: xAI just dropped Grok 4.20 and it’s a team of 4 university professor–level agents This is not a normal model release. It’s four specialized agents running in parallel, reasoning together before you ever see the answer. Not one brain guessing.
Four experts -
Rumors of AGI’s Arrival Have Been Greatly Exaggerated
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Rumors of AGI’s arrival have been greatly exaggerated https://
open.substack.com/pub/garymarcus
/p/rumors-of-agis-arrival-have-been?utm_campaign=post-expanded-share&utm_medium=web
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AGI Has Not Arrived Yet: Responding to Nature Essay
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Nope, AGI hasn’t arrived yet. A response to that recent essay in Nature, link below.
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Creating Superintelligent Agents: Beyond Clever Programming
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How to Create a Superintelligent Agent? Today’s AI systems, however impressive, are still the result of clever programming and smart technology. https://
deananthonygratton.com/post/how-to-cr
eate-a-superintelligent-agent
… by @grattonboy #AI #MWC26 @grattongirl -
Agent World Model: Synthetic Environments for RL Agent Training
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Training tool-use agents with RL requires diverse, executable environments. But these environments barely exist. This new research introduces Agent World Model (AWM), a fully synthetic pipeline that generates executable agentic environments at scale. Starting from high-level
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AI Failure Audit Method for Blind Spot Detection
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2. The Failure Audit
— God of Prompt (@godofprompt) 17 février 2026
"Complete this task, then list every assumption you made that could be wrong. Rate each assumption 1–10 on confidence."
Forces the model to surface its own blind spots.
These engineers use it before shipping any AI-generated output to production. pic.twitter.com/jiTLYPMpMh2. The Failure Audit "Complete this task, then list every assumption you made that could be wrong. Rate each assumption 1–10 on confidence." Forces the model to surface its own blind spots. These engineers use it before shipping any AI-generated output to production.
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AI models self-doubt to reduce hallucinations
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1. The Chain-of-Doubt
— God of Prompt (@godofprompt) 17 février 2026
"Walk me through your reasoning step by step. After each step, ask yourself: could this be wrong? If yes, say why."
Kills hallucination confidence.
The model second-guesses itself mid-answer instead of committing to a wrong path.
Two Meta engineers… pic.twitter.com/j4KAYmSnQy1. The Chain-of-Doubt "Walk me through your reasoning step by step. After each step, ask yourself: could this be wrong? If yes, say why." Kills hallucination confidence. The model second-guesses itself mid-answer instead of committing to a wrong path. Two Meta engineers