Bumblonono

I read a while back that people with ADHD have even holes in their brains after years/decades :|

I love my work from home because i started sleeping in on wednesday if i had a shitty night.

For nearly a decade i was super tired after wednesday

You make it sound like there is still an easy to spot difference. When i look at the print quality of pictures on a news paper, its the opposite and at least for me, i don't need more than retina and i was very eager to switch to 4k to have higher dpi.

But 14' with retina im very happy.

I'm actually more surprised by hdr on my lg oled 4k. Its actually quite nice when done well.

I'm reading hn for over 10 years and i comment on it too much / spend to much time here.

I just create a new account to get away from fomo and add a little bit more effort to commenting.

But as you can see, it doesn't work very well

So we officially accept that certain voting people, irrational people are constantly heavily intoxicated or had no understanding?

Interestingly enough, tx to a talk from a brain researcher i understood that there are two major brain modes we run: Either the i just observe and do things i observed (were it doesnt' matter that you are gay or black but still vote for trump) and the logical mind were you see a conflict in stuff like this.

LLMs are interestingly enough somewere inbetween.

In my city on ads. On news article pages. On YouTube.

In my company we even have a LoRa for a specific company style of images (icons and similiar)

I thought there is a Nvidia implementation using ml.

I really don't wanna be nitpicky, but what do you mean by 'no real understanding of the text'?

How do you benchmark something or someone understanding text?

I'm asking because the magic of LLM is the meta level which basically creates a mathematical representation of meaning and most of the time, when i write with an LLM, it feels very understanding to me.

Missing details is shitty and annoying but i have talked to humans and plenty of them do the same thing but actually worse.

Plenty of people understand that LLM is not AI.

Nonethless, try looking more left and right. There are really good opensource solutions which can surfe the web for you like stormai, Or you can use anythingllm and give it all your local files.

You can write your tips and tricks, start commands, upgrade procedures etc. in Markdown and reference it through your local LLM.

I like it for coding specifically for languages or things i write seldomly (i'm not coding every day but did for 15 years).

Nonetheless, googles internal code review tool is already suggesting things which are getting accepted by more than 50%. Thats a lot and will only get better. GitHub with Copilot will also just get better every day too. They probably struggled (as the whole industry) with actually getting used to having ML stuff in our ecosystem. Its still relativly new.

Its frustrating to read this over and over again.

AI is basically ml at this point. And it did already A LOT.

Whisper, great jump in quality for speech to text, segment anything, AlphaFold 2, all the research paper Nvidia publishes regarding character movement, AI Raytracing, Nerfs, all the medical research regarding radio imagin, advances in fusion reactors...

We have never been so close to a basic AI/AGI / modern robots. we have instructGPT which allows for understanding 'steps' easier and more stable than anything we developed before in multip languages.

ChatGPT and LLM advances are great and helpful.

Image generation is already poping up in normal life.

AI is not wildly overhyped at this point. We are in the middle of implementation after the first LLM breakthrough and a LOT more money is funnelt into AI/ML research now as it was 10 years ago.

The future is, at least for now, really interesting and there has not been any sign of a wall we are hitting.

Even the missing GPT-5 might feel like a slight wall, but we just got GPT4-o mini which makes all of the LLM greatness a LOT cheaper and a lot easier to use.

We switched from text parsing and avg bad results to just using llama3 (with a little bit of saveguarding) and its a lot better.

There are plenty of monochromatic cases. Right now hw has a lot of orange.

Dynamic resolution / subpixel rendering. Retina looks really good already, not sure if the effect would be relevant or interesting but it might open up something new

It fits a 4090. Nvidia lists the models and therefore i assume 24gig is min

My problem are youtube videos which talk about science, diy, woodworking, metal working, history, math etc.

I'm not addicted to software, i'm addicted to entertainmened optimized for grabbing my attention.

And the comparision to cigs is not far away. They have also been designed to be addictive, a lot of people struggle for their whole live to get away from them.

My planning brain can easily see what i don't want to do or have, my doing brain is not strong enough to then just execute on this. Otherwise i would be a rich, supersporty, multilingual expert in multiply fields.

This is exactly not what i want. I do not want to 'x' it constantly and no just because i x it doesn't mean that the Tab in the YouTube App disappears

My only problem with this is the good content on the internet like good YouTube videos explaining to you how the world and things work.

If i could have a good filter which really can control my internet usage without giving away my privacy that would be awesome.

But no first of, everything goes through chrome and i do not trust random addons, i can also circumvent it too easily. Then even services like YouTube introduced there shorts. Do i watch them? Sometimes. Do i want to watch them? no

Can i deactivate them? no..

I will continue paying for YouTube premium! But pls give me a personal pseudo budget and not some ass weak timer i can just click away...