Author would be delighted to know Scanner Sombre exists

Devil’s Tuning Fork was first, I believe

Says right in the description that they are using radio

It's all about process. If you have a good process in mind, you can build a system that can reliably do everything.Artificial intelligence is now the engine to do that. With the correct harnessing, you can do anything now

I agree with your observation. If I have kept the same targets as before, of course I would be working less. But being able to do more means being more ambitious. But the competition is also growing so in general the pattern is everybody works more

A very important word is missing at the beginning of this title

I have solved this problem by forcing the model to compress every time by specifying token budgets for the documents

You mean word budget? I don't see how a token budget on the LLM helps with doc length. Or do we denominate the length of text docs in tokens now?

Can confirm that. Major scars and my first broken bone on my third time taking the bike. And I liked it a lot when I was younger.Never had the courage to buy myself a motorcycle but realized that I was going way faster than even my in my car with my bike. Love the thing

Trying to make AI do what you want just with instructions didn't work for me. In a new system I am designing, I've implemented a set of algorithmic checks to make sure that every to-do affects only the area it needs to and does not create deltas which are unintended. I developed a system of fingerprinting pieces of code to not do the checks every time as well for performance reasons. It's working great so far and I'm building more and more layers of algorithmic checks and the model is beginning to work extremely well with it. I am now able to fill out a limited to-do list and be absolutely certain that only the pieces that I wanted were changed and nothing was broken. Maybe it's nothing new for most of you, but it added so much more confidence in my results in this new system, which will be a hundred percent AI generated. I was very tired with the old way of doing this by relying only on a set of loops and instructions. In it was never giving me this feeling of confidence that I have in this new system I'm developing. I could write about it if there is interest

Do you have any more details about this or maybe a repo? I feel like I'm running into the same issues, especially with agents wanting to run insane amounts of test s and check and measuring for every little change.

I would love to see how you’ve implemented this if you can share a repo.

Not fully relevant to the comment, but I've noticed that most motion sickness issues derive from an FOV which is too low.Big companies set it lower for performance reasons I guess, but on PC I always loved to crank it. And it's not about sitting closer or about the distance in itself, it's about the ratio of the size of the screen to the vision field it occupies

For me it was more about the mismatch between what my eyes saw and what my inner ear felt.

Running around in first person while sitting or standing in a room took some real getting used to. But cockpit games or mostly stationary (in a reasonably small volume) standing-perspective games were fine.

I'm feeling weird trusting this. Is there any security review on this project?

Projectivy, Wolphin, and Button Mapper are all on Google Play with positive reviews. SmartTube isn't on Google Play, as it bypasses ads on Google's YouTube platform, so Google won't host it, but it is hosted on GitHub where it is well received, with plenty of stars.

Each has their own installation instructions, but the article consolidates them into a list of adb commands. If that's a method you like, it's nice to have everything in one place, but they can still be installed the normal way.

What "project"? It's just some adb commands that you can run on your TV/streaming box to disable built-in apps and change settings. The rest are just Android apps that are safe/legit.