Trainguyrom

Seems like legally requiring hybrid work benefits would get us significantly closer to those goals

Makes me want to find an excuse to use the term autoeroticdefenestration: to be sexually aroused by throwing yourself out of windows

I very recently learned that Amour is not universal and I just grew up playing a singular RPG that was developed by a group of British brothers so that forever shaped my expectations for how Armour should be spelled

Ah so that's why in the Tropico games your assistant was Penultimo! He's the second to the ultimate leader, El Presidente!

Really the only city building series that correctly identifies who directs the construction and destruction of every visible peice of infrastructure or building. And who randomly arrests or frees people for any reason they like :)

I only know the term from Disc World, is that a real world term or just one of the many whimsical terms Pratchett coined in the books

Short answer: they already are

Slightly longer answer: GPT models like ChatGPT are part of an experiment in "if we train the AI model on shedloads of data does it make a more powerful AI model?" and after OpenAI made such big waves every company is copying them including trying to train models similar to ChatGPT rather than trying to innovate and do more

Even longer answer: There's tons of different AI models out there for doing tons of different things. Just look at the over 1 million models on Hugging Face (a company which operates as a repository for AI models among other services) and look at all of the different types of models you can filter for on the left.

Training an image generation model on research papers probably would make it a lot worse at generating pictures of cats, but training a model that you want to either generate or process research papers on existing research papers would probably make a very high quality model for either goal.

More to your point, there's some neat very targeted models with smaller training sets out there like Microsoft's PHI-3 model which is primarily trained on textbooks

As for saving the world, I'm curious what you mean by that exactly? These generative text models are great at generating text similar to their training data, and summarization models are great at summarizing text. But ultimately AI isn't going to save the world. Once the current hype cycle dies down AI will be a better known and more widely used technology, but ultimately its just a tool in the toolbox.

I quit coffee earlier this year and traded coffee for water. I now drink about 2 gallons of water a day and my teeth have never looked better

I realized I was long overdue for a hardware refresh when I learned that nvme drives are /dev/nvme and not /dev/sd[x] and I realized every single computer I interacted with was pre-nvme

Having written some error messages in a godforsaken database frontend, an error message only means that something didn't work correctly and may or may not correctly indicate what is actually wrong

The final line of the one about the VAX machine is so perfect

Excel is the backbone of so many businesses though!

The amount of times you hear "OMG why did Microsoft change XYZ" across IT departments everywhere...