dlcarrier

AI stuff is especially buzzwordy. I guess that's what happens when a technology spends half a century being little more than a buzzword, before breaking out and becoming useful.

TCAS has solved this for airplanes. It wouldn't take much to modify the system for trains so that, in the least, it notifies when an unexpected train is nearby. A little more logic could allow it to verify which track each train is on.

I will never cease to be amazed by the range of thought experiments that get published as math papers.

Try asking Qwen or Deepseek if anything of note happened in Tiananmen Square in 1989, and you'll see what impact politics already has on models.

Yeah, it's trivially easy to rip the alignment out of the model, but that's only because it's tacked on as an afterthought. If they implemented their censoring as part of training, instead of inferencing, it would be extremely difficult to eliminate.

Alignment isn't only used for censoring, and it doesn't have to be transparent. Considering how heavy of a hand most governments put into companies developing frontier models, it's reasonable to assume they will start restricting capabilities, e.g. there may be a domestic version of Llama and an ITAR-compliant Llama, and China will likely do the same with Qwen, Deepseek, and the like.

I think I need about a terabyte more RAM, to run that.

Open-weight: Anyone with a powerful enough computer can download the model and run it locally.

hybrid instruct-and-reasoning MoE: The model includes a subsystem that can run portions of the model at a time and assign itself tasks, greatly improving the capabilities over running the model in the original fancy-autocomplete method early LLMs used, and letting the model run on simpler hardware.

with multimodal input: The model can parse images, video, and audio, as well as text, so the user can upload files of those types and run a prompt that analyzes them.

Of course polls that show web unexpected lead for an individuals favorite candidate are more likely to be shared by that individual.

That just means they burn a lot of fuel. Generators can burn the same diesel as a boat, and most can burn Jet A, too.

It this point, the best strategy seems to be showing a captcha and only letting through the users that fail on the first try.

Having the users differentiate a scooter from a motorcycle could work too, because every captcha with scooters in it seems to ask the user to select motorcycles.

The 737 is one of the few remaining airliners that you can turn everything off in, and still have full manual primary flight controls.

Thanks for not only maintaining such a great development environment but also for demonstrating that cross-platform development isn't an insurmountable hurdle that requires massive workforce or launching separate Chrome instances for every application, to display text and images.

Considering that the development environment is called Lazarus, you're probably not the only one.

Same here. I don't know if WebGPU works on my computer, but it really isn't needed for a 2D card game.