e and π — the numbers that allow the world to be computed smoothly.
Up to this point, we have examined the structure of decision-making —judgment, optimization, inference, and execution.
...
Where Do Humans Remain? — Redefining Human-in-the-loop
Let Us Summarize What We Have Discussed So Far
AI does not understand the world.
What AI handles is nothin...
Describe the Discontinuities — Fixing Decision Structures with Ontologies and DSLs
In yesterday’s article,I started from the premise that judgment is not singular,and discussed a multi-agent design that ...
Judgment Is Not Singular — Multi-Agent Design Built on Structural Discontinuity
As argued in the previous chapter,AI does not understand the world.What it does is nothing more than smooth function app...
Judgment Cannot Be Expressed by Smooth Computation — The Problem of Discontinuity in AI
Yesterday, I wrote about why many AI projects end at the PoC stage and never take root in real operations.
Today, I wan...
Most AI projects are dead before they are built
— Reflections on AI Pre-Mortem Reviews
Over the past few years, as I’ve listened to companies talk about their AI proje...
Overview of softmax functions and related algorithms and implementation examples
Overview of Softmax Functions
A softmax function is a function used to convert a vector of real numbers in...
Overview of Word Sense Disambiguation and Examples of Algorithms and Implementations
Overview of Word Sense Disambiguation
Word Sense Disambiguation (WSD) is one of the key challenges in the ...
About MobileNet
Overview of MobileNet
MobileNet is one of the most widely used deep learning models in computer vision, and i...
Overview of the policy gradient method and examples of algorithms and implementations
Policy Gradient Methods
Policy Gradient Methods are a type of reinforcement learning that focuses specifica...