showmexyz

As posted below https://api-docs.deepseek.com/guides/coding_agents#integrate...

Already have...SpaceX

Or maybe a century.

It reduce your appetite.

Math seems wrong "The team found that the loop design would convert 75% of the gas entering the system into useful resources, producing carbon nanotubes and hydrogen in a 3:1 mass ratio. In other words, for every 4 kilograms of methane the system successfully converts into useful resources, it makes 3 kilograms of nanotubes and 1 kilogram of hydrogen."

Not op but, whenever I search for some term that maybe have more watchtime,you will see AI generated content. For example try searching for "li ion battery".

Still what she did was fraud. From the article - "Still, the judge criticized the bank, saying “they have a lot to blame themselves” for after failing to do adequate due diligence. He quickly added, though, that he was “punishing her conduct and not JPMorgan’s stupidity.” "

https://www.sec.gov/enforcement-litigation/litigation-releas... They are not convicted yet.

He defrauded investers out of $120M.

Thank you. This is one of those things that annoyed me so much sometimes I would just leave the site.

Better send some high school teacher.

"Make America Great Again" by reliving the vaccine-less past again.

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His videos/experiments are really really good. Some of other good videos-

https://www.youtube.com/watch?v=UIqhpxul_og

https://www.youtube.com/watch?v=bR9EN3kUlfg

https://www.youtube.com/watch?v=Oj4tRnLKN6U

So how accurate are the results?

Maybe with excess solar, to some extent.

These works well for some svg that are simple and already in training data but doesn't work for harder svgs, even simple one if they are out of distribution of training data.

In simon's example whole purpose is to make it draw something that it has not seen before but can easily infer from geometry, spatial arrangement. I think it makes a fun problem.

https://leanpub.com/mastering-stm32-2nd

This is good book to start learning. Don't worry too much about using HAL. You can dig deeper by implementing HAL functions yourself. The thing is if you are making a product, using a HAL is generally a good solution. Also keep datasheet of specific microcontroller nearby.

https://web.archive.org/web/20160325085811/http://orfe.princ... https://web.archive.org/web/20160508114924/http://orfe.princ... https://web.archive.org/web/20170809073230/http://orfe.princ...

Man, why is it so hard to believe that inovations can happen outside of USA. I am not saying china is not after some code/algorithms. But still, maybe people there are also working hard on these problems.

That's what I think it is about, reverse engineering basic rules from the end pattern.

So is it about learning discrete logic to solve a problem rather than have whole modern CPU with all its abstraction to solve the given problem?

Can anybody point out what's special about this?

Reasearch papers are written like this and LLMs are trained on arxiv.

Can't we just use HBM like memory that acts as cache but put it on top of l3 cache like AMD is doing with it's 3d cache. That will help with latency.

Can they even liquidate all this money,if not is it still $1.5B?

It's scary to think that people are willingly making there driving experience worse. They are already paying premium for these cars.

Something buried in this, Apple are starting their own server manufacturing.

Looks good. It says 70x faster. Is it right or with some gotchas?