What a weird title. They are completely 2 different, independent things. Just to be categorized with AI hype articles…
What a weird title. They are completely 2 different, independent things. Just to be categorized with AI hype articles…
I do, I learned everything on Facebook. AMA
Title makes no sense. Researchers did “their own research”. Experts and non experts do “their own research”. Simply there are people who knows how to do it and to draw meaningful conclusions from sources and data, and people who don’t.
This is absolutely not unpopular. Free software buys more porsches to incompetent business schools alumni than windows…
Well known, sad and frustrating
Absolutely agree. We should have gone from single income households to “2 part time incomes” households
Unfortunately it is very difficult to be good parents when both parents have to stay out over 10 hrs per day to work. This is the part that is always overlooked in these news. Problem is not the smartphones. It’s modern society
I am not a gate keeper. I work in an unionized company in fintech. But I also recognize that calling me “proletarian” is detrimental for battles of real proletariat. Because I have a better salary than a medical doctor with a 5th of the stress. And I don’t make near google salary. I have former colleagues who went to google… They are not absolutely struggling. They need to unionize? Surely. But let’s keep it real, use words properly, because there are people in the current economy who are struggling. Proletariat means that the only “capital” owned by someone is their children. It evolved to mean working class, where only capital is ability to do a work.
Google engineers have real capital invested in stock market and pension funds, a great salary and benefits, transferable skills, and their biggest asset is their knowledge. They need to unionize only to fight back to mass lay offs, and have more saying on the company direction. Other than that they are doing pretty fine.
Calling google workers proletariat is out of touch and borderline insulting to real working class.
3-month salary for a junior at google is what a “real” proletarian do in a full year, with addition of pension, stock options, benefits and bonuses
They do. They are just looking for cheap way to store energy. They don’t care if batteries are big, heavy and less efficient, they need something as cheap as possible for a range of use cases where cost is important.
Lithium is expensive. My bet is that, on the long term, sodium will be used for such use cases. But in practice decision must account for practical limitations, primarily supply chain
At that point one can use Na/O2… Much higher energy released by redox reaction, much lighter
Apparently id software helped with the shooting part. They are the best in town for it, I am not surprised that it’s improved compared to fallout games, that have pretty bad shootings
Wsl2 and podman.
Far from a nice overall experience compared to using docker on a real OS, but the best I could get on windows
Publish or perish, that’s why
I can, but I won’t
What about vault? Is there a open source fork?
Basically it’s how already works with cameras. Subjects and composition are enough to copyright images. Even without post-processing
I did, and I believe the author is the one using psych tricks. He tries to persuade readers to see things that are not there. Similar as he claims that the LLMs are doing, he prepares the scene by creating some comparison worded in a way to make them credible. But in practice none of those comparisons are true. They appear true because the author is good with words, and leave to the reader the message that LLMs are frauds. It is a well executed rhetoric exercise, but it is still non sensical. An LLM is just a model that doesn’t try to be intelligent, it tries to answer questions or, better, to complete text
The article imply a fraud in the LLMs… Compares it to psychs
Non sense. They are just tools. One can like them or not
Sorry, but that article is completely non sense.
LLMs are pretty clear in what they do. It’s true that they are often superficial, but most of this superficiality is due to creator trying to escape liabilities. ChatGTP is often evasive or superficial on purpose, because openai is trying to find a balance between usefulness and risk of being sued.
LLMs do not try to be smart. They don’t do trick. They are built to give the best possible answer they are capable of doing (given how they are trained and built). Sometimes these answers are good, sometimes not, sometimes mixed.
Why writing a whole article trying to demonstrate frauds in a tool. Is a washing machine a fraud because it tries to convince me clothes are clean? I am satisfied by the results, given it is a machine, my aunt complains that “washing by hand” is better.
Same situation here, some people are happy, some would like more…
No, this is independent on AI. AI for big tech is a core product, like a car for BMW. The layoffs are completely unrelated to AI, and related to stock price and interest rates of borrowing money. None of the layoff employee has been substituted by AI. It’s pure old school finance
Unrelated news in a single title just to attract readers. Usual sh**y to ride the AI hate bandwagon