I have hundreds of books in my kindle. But 0 on Amazon.

Good luck accessing my ebooks.

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As the world become more and more noisy. And people become more a more shitty with regards of doing noise without care about how it affects others. ANC become a necessity for some people.

It also has a Firefox extension that add download and subscribe buttons for Tubearchivist directly on youtube website.

I used it a few days ago to translate a math formula into code.

Here is the formula: https://wikimedia.org/api/rest_v1/media/math/render/svg/126b6117904ad47459ad0caa791f296e69621782

It’s not the most complicated thing. I could have done it. But it would take me some time. I just input the formula directly, the desired language and the result was well done and worked flawlessly.

It saved me some time typing around. And searching online a few things.

Ok tidy up this place. We have visitors coming soon.

There’s zero relationship between data being unencrypted and it being sent to chinese servers.

If you use a chinese service it’s obvious that data is going to be sent to a chinese server and that the chinese server would be able to read it.

Unencrypted data transfer, it’s a totally different thing. I would like to see if it’s truly unencrypted or just not using apple proprietary encryption.

I luckily don’t own any apple product, but I have deepseek app on my android device. If I’m bored later I’ll try to intercept my own data to see if it’s truly unencrypted. This is easy to test. If it’s not true that newspaper is going to my “block list” asap.

And redbull give you wings.

Marketing within a capitalist market be like that for every product.

I have thought a lot on it. The LLM per se would not know if the question is answerable or not, as it doesn’t know if their output is good of bad.

So there’s various approach to this issue:

1. The classic approach, and the one used for censoring: keywords. When the llm gets a certain key word or it can get certain keyword by digesting a text input then give back a hard coded answer. Problem is that while censoring issues are limited. Hard to answer questions are unlimited, hard to hard code all.

2. Self check answers. For everything question the llm could process it 10 times with different seeds. Then analyze the results and see if they are equivalent. If they are not then just answer that it’s unsure about the answer. Problem: multiplication of resource usage. For some questions like the one in the post, it’s possible than the multiple randomized answers give equivalent results, so it would still have a decent failure rate.

He is definitely in the same list as Trump and Elon Musk.

They are not random per se. They are just statistical with just some degree of randomization.

That happens when do you not understand what is a llm, or what its usecases are.

This is like not being impressed by a calculator because it cannot give a word synonym.

I’ll wait for the Julian Assange review.

Google ghg emissions in 2023 are 14.3 million metric tons. Which are a ridiculous percentage of global emissions.

Commercial aviation emissions are 935.000 million metric tons by year.

So IDK about plastic straws or google. But really if people stopped flying around so much that would actually make a dent on global emissions.

Don’t get me wrong, google is a piece of shit. But they are not the ones causing climate change, neither is AI technology. Planes, cars, meat industry, offshore production… Those are some of the truly big culprits.