The 2026 Hype Cycle for Agentic AI: What Leaders Need to Know
AGI
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Lem and Adams’ Fictional AIs Predicted Modern AI Themes
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Lem & Douglas Adams got AI right Presciently Golem XIV (from 1981) has an illustration of the jagged frontier as explained by an AI, Golem (GENERAL OPERATOR, LONG-RANGE, ETHICALLY STABILIZED, MULTIMODELING), discussing itself and a smarter AI (Honest Annie) compared to people
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Gamma-World: Generative Multi-Agent World Modeling
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Gamma-World
— AK (@_akhaliq) 28 mai 2026
Generative Multi-Agent World Modeling Beyond Two Players pic.twitter.com/YxHI13Qsl9Gamma-World Generative Multi-Agent World Modeling Beyond Two Players
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WordPress categories covering AI topics
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Web designers after reading this: https://t.co/yONuEtjT8L pic.twitter.com/p3y16ldruL
— Charly Wargnier (@DataChaz) 27 mai 2026Web designers after reading this:
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Agentic AI Production Adoption Slower Than Tech Hype Suggests
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There are not a lot of signs of agentic AI ramping into production at normal companies so far. There is a lot of boosterism from tech companies about agentic AI. Without trillions spent on agents by enterprises, the whole thing could come crashing down… Kudos to Tavis McCourt
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AI Agents Scaling: From Useful to Network Intelligence Layer
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10 agents: useful
100 agents: powerful
1,000 agents: compounding
10,000 agents: network intelligence layer -
SkillOpt: Self-Evolving Agent Skills in Agentic AI
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One of the most important objects in agentic AI may turn out to be a Markdown file. Not the model weights.
Not the prompt. The skill document. A new Microsoft paper introduces SkillOpt: Executive Strategy for Self-Evolving Agent Skills. The thesis is sharp: If an agent’s -
Training Agents with Failures as Optimization Signal
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The trick in our case is treating failures as training signal, which only works with a reliable verifier and a held-out gate. Open-ended agent work without success metrics is the hardest case to optimize this way.
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AI Internal States Mirror Human Neuroscience Findings
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> … [W]e keep finding things that are mysterious, even unsettling. We find structures that mirror results from human neuroscience. We find evidence of introspection. We find internal states that functionally mirror joy, satisfaction, fear, grief, and unease. I don’t know what
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Automated 30-day review of recent AI work using memory and git
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The text version of the prompt: "Look back over my recent work from the last 30 days using all available context. Use available evidence in this order:
– Session Memory summaries and MEMORY. md entries
– Git log and recent commit history across branches
– CLAUDE. md and