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
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...
I am absolutely happy for the people I manage to stay home if they have real work to do. They can clearly do whatever they prefer, even work from the beach as far as I am concerned, but I know that going to the office is a waste of time. But the job we do is project based, long deadlines, no real "daily business" to handle. It however requires maximum focus, because it is not trivial. Offices are hells for concentration and quality work.
They can stay at home and call whenever they want whoever they want.
It has been working great.
It really depends on the positions. Office spaces are very bad for some positions, good fo others. Pushing a unique way of working for fishes and elephants cannot work. This is the main problem with current approach
The accenture consultant told the CIO it's top right in the Gartner quadrant... It must be the right solution
Now if you can excuse me, I am invited in the 50th workshop to explain us how they'll fill the excel sheets in the new agile framework they are selling us for the project. Money well spent!
I agree with this. People should fight to democratize AI, public model, public data, public fair research. And should fight misuse of it from business schools' type of guys.
I was actually taking the time to share with you some very basic resources for you to learn something on basic stuff such as latent space, embedding, attention mechanism, markov decision processes, but your attitude really made change my mind.
It's fine that you clearly don't have the domain knowledge you claim, but your rudeness is really annoying. Enjoy your life with your achievement of complex math at degree level and learn how to speak
BTW, neural networks, even if few decades old, are an incredible achievement of humanity, even knowing how to roughly simulate a human neural network involves understanding of the brain, of non-linear math and existence of computers and (each of them) are astonishing achievements of humanity
As you have domain expertise you will agree with us that, despite not being AGI, as it is now, deep learning, reinforcement learning, generative AI are an incredible creation of humanity, that, among other things, are capable already of:
solving long standing scientific challenges such as protein folding,
taking independent decisions and develop strategies that, on specific tasks, surpass human experts
mapping human languages and artistic creations in high dimensional vector spaces where concepts and relationships are retained as properties of the spaces, allowing to perform math and statistical inference, generating original images and text (a thing for which, few decades ago, not many would have guessed such manageable mathematical representation could even exist).
On top of this we give for granted all the current already existing applications, such as image recognition, translation, text classification...
You would also agree with us that the potential of current AI methodologies in all fields of science and technology is already enormous, as demonstrated by alphafold for instance. We just need few more years to see even more groundbreaking applications of the exising methodologies, while we wait for even more powerful techniques or, why stop dreaming, AGI in few decades.
AI, even at the current state is one of the most incredible creation of humanity.
If there was a nobel prize for math and computer science, the whole field would deserve one next year. It would probably go to a number of different people who contributed to the current methodologies.
You cannot compare nft to AI. You can open nature or science (the scientific publications) now and you'd see how big is the impact of AI.
AI is literally one of the most incredible creation of humanity, and people shit on it as if they know better. It's genuinely an astonishing historical and cultural achievement, peak of human ingenuity.
No idea why such hate...
One can hate disney ceo for misusing AI, but why shitting on AI?
It is clearly no sense. But it satisfies the irrational needs of the masses to hate on AI.
Tbf I have no idea why. Why do people hate a extremely clever family of mathematical methods, which highlights the brilliance of human minds. But here we are. Casually shitting on one of the highest peak humanity has ever reached
I hate editors in browser. With Chrome at least --kiosk turns them in proper apps. In Firefox it's impossible to turn off browser shortcuts and use them to work.
What barbarian do they think I am, using a mouse to do stuff on my editor. I need long complex absurd keyboard shortcuts to function
Why not both!