The simulated robot had one leg. It was 2017, and a team of researchers at OpenAI and DeepMind wanted to teach it, a digital stick figure called Hopper, to do a backflip. None of them knew how to do a backflip…
read »Ask an LLM for a steampunk story and you’ll get brass gears, cobblestones, and a mysterious clockmaker. Ask for a poem about loss and you’ll get autumn leaves and an empty chair. Ask for a startup pitch and you’ll get…
read »For seventy years, we chased one goal: make machines think like us. Nobody stopped to ask what happens when they get there. Not what happens to the machines. What happens to us. Here’s the answer: we panic. And then we…
read »There is a very popular, very smug argument currently circulating in the arts and academia: AI cannot create anything truly new. The logic goes like this. AI is trained on a finite corpus of human output. It is a statistical…
read »As the business world integrates large language models (LLMs) like ChatGPT into business processes, it will need to consider the hidden, non-obvious biases that these LLMs create. These biases may be difficult to identify, anticipate, and remedy. I discovered a…
read »Large language models (LLMs) like ChatGPT require us to discard the old paradigm of human-computer interaction. In “traditional computing,” if you want a computer to do something, you needed to input precise instructions. The computer translates those instructions down through…
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