人工知能:Artificial Intelligence

ICT技術:ICT Technology

Who Is the “Designer” in the Age of AI? — Neither Engineer nor PM, but the Author of Judgment Structure

In the age of AI, the same debate always emerges. Engineers are critical.PMs are essential.We lack data...
2026.03.03
ICT技術:ICT Technology人工知能:Artificial Intelligence
ICT技術:ICT Technology

A design that does not define boundaries will inevitably fail — implicit boundaries create accidents, and the cost of articulation becomes the cost of safety.

Accidents appear to happen suddenly.But in reality, they have been prepared for long before they occur. And their commo...
2026.03.02
ICT技術:ICT Technology人工知能:Artificial Intelligence
ICT技術:ICT Technology

Increasing model size does not make judgment wiser — discomfort with the scaling myth and giant models without design

AI has grown larger. Parameters have increased, training data has expanded, and performance benchmarks continue to be s...
2026.03.01
ICT技術:ICT Technology人工知能:Artificial Intelligence
ICT技術:ICT Technology

AI becomes more intelligent by not committing to decisions — Gradients, probabilities, and the posture of deferral, and architectures that resist premature conclusions

AI is fast.Computation finishes in an instant,and answers are returned immediately. Because of this, we unconsciously b...
2026.02.28
ICT技術:ICT Technology人工知能:Artificial Intelligence
ICT技術:ICT Technology

The Real Reason Human-in-the-Loop Fails — Why “Human-at-the-End” Loses Responsibility, and the Shift Toward Human-as-Author

Human-in-the-loop (HITL) has long been presented as a safety mechanism for the AI era. The human checks at the end.The ...
2026.02.27
ICT技術:ICT Technology人工知能:Artificial Intelligence
ICT技術:ICT Technology

Is a Multi-Agent System a Failure If It Fails to Reach Consensus? — Designing “Non-Agreement” as an Outcome, and the Value of Conflict Logs —

When people hear “multi-agent,”many expect the following: Agents discuss with one another.They reconcile their differen...
2026.02.26
ICT技術:ICT Technology人工知能:Artificial Intelligence
ICT技術:ICT Technology

Treat Cold-Start as a Contract — Transform Data Scarcity into a Design Problem —

Cold-Start Is Considered a Technical Problem The cold-start problem is usually treated as a technical issue. There ...
2026.02.25
ICT技術:ICT Technology人工知能:Artificial Intelligence
ICT技術:ICT Technology

Where Should We Write the Condition to Stop Judgment? — Externalizing Stop Conditions and the Importance of Designing “Return to Human” —

AI does not stop. Optimization continues.Probabilities update.Scores improve. This is not a defect.Computation is desi...
2026.02.24
ICT技術:ICT Technology人工知能:Artificial Intelligence
ICT技術:ICT Technology

How to Build Ontology, DSL, and Behavior Trees Efficiently and Accurately — A Practical Method for Designing Judgment Structures —

In previous articles, I explained why judgment must be externalized. We introduced three structural components: ...
2026.02.23
ICT技術:ICT Technology人工知能:Artificial Intelligence
ICT技術:ICT Technology

Externalizing Judgment in AI Systems — A Decision-Oriented Signal Platform Built on Ontology, DSL, and Behavior Trees

Many AI platforms are designed with a single dominant focus: How can we make the model smarter? Improve accuracy. ...
2026.02.22
ICT技術:ICT Technology人工知能:Artificial Intelligence
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