Large language models can have billions, or even trillions, of parameters. But how big do they need to be to achieve acceptable performance? To test this, I experimented with several of Google’s Gemma 3 models, all small enough to run locally on a single GPU. Specifically I used the 1 […]
Large Language Model AIs like Google’s Gemini and Open-AI’s GPT can be interesting to play around with even in a simple chatbot like Chat-GPT. But those chatbots largely waste their potential. Their understanding of natural language is impressive, but their “knowledge” is limited to what they were trained on. But […]
This is the type of headline I would have expected to have to write for stoned teenagers. But according to CNN, earlier this year 42% of surveyed CEOs say that could happen. CEOs of what, you might ask? Who knows. There were certainly some tech CEOs in there, but there […]
If you spend much time reading about Artificial Intelligence and philosophy of the mind, you will hear about John Searle’s Chinese Room thought experiment. Written in 1980, it is an argument that however well a computer is able to imitate a mind, it cannot actually think. The argument goes something […]
The other day I was in an argument with someone (I know, shocking, right?) in which the cost to send a hypothetical package out of the solar system came up. The details aren’t particularly relevant (they involve a death snail and $10 million), but I was curious how much it […]