roflmaostc

I am not sure if I understand your comment lol

I could also say: Solar is the best energy source (if you put night aside of course).

I mean obviously the main drawback of nuclear fission is the waste and the potential impact of radioactivity.

I always wanted to test it out but it's really hard to get it run under Linux (e.g. Arch Linux) even though it runs fine on a Raspberry Pi

How can I add more movies and their locations?

EDIT: Apparently here: https://moviescenemap.com/missing/

You can get decent ones for $6 from Contabo VPS https://contabo.com/en-us/vps/

my firefox works

The principle is similar to foveated imaging [1].

Recently, Samsung introduced the ISOCELL platform which allows to select the area which will be recorded at higher resolution compared to other regions.

There can be all sorts of different applications build around such as extracting higher resolution of text regions, etc [2].

Of course, the lens needs to support this resolution but I think that will be default in the mid-term future.

[1]: https://en.wikipedia.org/wiki/Foveated_imaging

[2]: https://dl.acm.org/doi/10.1145/3799902.3811218

Reading this article, now I can understand why there is jokes about Jeff Dean's binary readability...

Google already invested into them.

is there actually any source those attacks are really done by "script kiddies"?

More likely this more politically motivated and backed up by money and more capable groups

"We’re putting our frontier models and tools in the hands of 100,000 scientists, mathematicians, and engineers—at no cost."

Your linked preprint has been also published in Nature Communications: https://www.nature.com/articles/ncomms3401

yeah, where on the pictures is the 0.7nm feature? The linespacing is around 5nm. Is it the white line which is 0.7nm?

I found once super old books in our lab (like hundreds of years) and was wondering what they were used for.

Apparently they did CT scans of closed books and read the content. Polevoy, Dmitry V., et al. "From tomographic reconstruction to automatic text recognition: the next frontier task for the artificial intelligence." Fifteenth International Conference on Machine Vision (ICMV 2022). Vol. 12701. SPIE, 2023. https://iris.unive.it/bitstream/10278/3687069/1/Albertin_et-...

So yeah, but lottery companies probably make it harder by engineering against it.

I am fully aware of the costs and so on. But i can certainly imagine that LLMs help with the process of understanding and editing old code.

And of course you need to test and debug before you ship to production.

Many of the issues could potentially be solved by modern LLMs?

Reading, analyzing and assembling documentation could be probably done by LLMs.

And by including old code and snippets into the training set, the LLM could be fairly proficient in writing this code probably too?

Maybe someone knows more about the use/not-use of LLMs in this context?

Good initiative!

The problem is: publication is based on reputation. Reputation takes time and effort from the entire community.

I feel like modern infrastructure (Google Scholar, AI research, LinkedIn, etc) helped to decrease the importance of high-impact journals such as Nature, etc. Researchers don't rely on highly curated printed journals in their physical mailbox to get informed what's happening. You can just use tools to scrape content much faster.

But still: It can be career decisive if a reseachers lands a publication in a for-profit journal such as Nature.

The CS community has a much nicer publishing pipeline where most top journals/proceedings are attached to non-profit conferences and the fee is 0 (beside a conference fee).

I wish more fields would work like this: you publish with a conference proceeding and talk on the conference about your paper.

Researchers are themselves responsible for typesetting, advertising, etc. This and removing for-profit stakeholders can reduce the costs a lot.

Partially agree. However, this problem has existed with scam e-mails since the 90s.

For me the solution is in signed e-mails and signed documents. If the person invites me to a online meeting with a signed e-mail, I trust that person that it's really them.

Same for footage of wars, etc. The journalist taking it basically signs the videos and verifies it's authenticity. It is AI generated, then we would loose trust in that person and wouldn't use their material anymore.

It doesn't surprise me it happens within the Elsevier ecosystem. Elsevier has a long tradition of scientific misconduct and scientifically immoral behavior (see Wikipedia).

The operating margin of Elsevier is around 40% which is huge! At the end mostly paid by tax-payer money.

Personally, I never review or publish with Elsevier.

I remember recent discussions on the somewhat rudimentary physical server infrastructure. I would be a bit scared for a serious large project

https://news.ycombinator.com/item?id=46132901

I am not so skeptical about AI usage for paper writing as the paper will be often public days after anyways (pre-print servers such as arXiv).

So yes, you use it to write the paper but soon it is public knowledge anyway.

I am not sure if there is much to learn from the draft of the authors.

lol, at 0:15 someone is literally testing the vapes with their mouth. I hope they don't do that all day long

Later at 6:45 they show more people testing them

Isn't that what happens in Europe with most rooted phones and banks too? At least I can remember my banking apps stopped working.

Beef (red meat) is classified as a probable carcinogen, while chicken (white meat) is safe according to current research.

Have fun eating 2kg of broccoli to get 50g of protein.

there's also lots of water to wash then.

The problem is the same, the relative concentration of oxygen in air is less than 0.05% (~450pars per million). In water much less.

The problem is you cannot plant enough trees around the globe to offset our CO2 emissions. Also, a forest only absorbs CO2 while alive. Once it dies, it emits CO2 too. You would need to permanently store the wood somewhere (submerging in water, etc).

Recent article: https://www.theguardian.com/environment/2025/nov/28/africa-f...

try to calculate 12312312.123213 * 123123.3123123

A computer uses orders of magnitude less energy than a human.

It's all about the task, humans are specialized too.

EDIT: maybe add a logarithm or other non-linear functions to make the gap even bigger.

Why? Can you share any examples?

Whenever I read about Xerox, it reminds me of the story that their scanners would randomly change numbers on prints

https://dkriesel.com/en/blog/2013/0802_xerox-workcentres_are...