If you are unsure what to do in the age of AI, it is good to look to the past.When you think about what kind of life you have lived up to now, a path opens up. AI levels people’s abilities.With coding agents, the gap between the very best programmer and an ordinary programmer becomes […]
Past Becomes Important in the Era of AI Read Post »
AI performance is improving day by day, and its evolution may appear unstoppable. However, in reality, that is not what will happen. In this article, I explain why. The key terms in this article are epistemic uncertainty and aleatoric uncertainty. Epistemic uncertainty is uncertainty that can be resolved through observation, whereas aleatoric uncertainty arises from
Why AI Progress Will Stall Read Post »
Cognitive semantics is a linguistic approach that understands the meaning of words in relation to human cognition and ways of perceiving things. In this article, I would like to talk about the “cognition” of LLMs from the perspective of cognitive semantics. In the background of cognitive semantics are fields such as Gestalt psychology and cognitive
How LLMs Feel Language Read Post »
I think a lot of people feel a real sense of crisis about AI taking their jobs. I feel it too. In fact, I am in the almost absurd, joke-like situation where I was supposed to be working on building AI, and now even that very job looks as though it may itself be taken
How to Survive the AI Revolution Read Post »
We can flatten the parameters of a deep neural network into a single vector. For a large model, this vector can easily have tens of billions of dimensions. At first glance it may look like a meaningless list of numbers, but it has become clear that this vector has deep meaning as a vector. For
Model Merge Explained: Build Models without Training Read Post »
