Cool, and how many billions has he flushed down the toiled for his failed Metaverse and currently failing AI attempts? Rich doesn't mean smart, you realise this right?
Zuck did this on purpose, humiliating LeCun so he would leave.
Despite LeCun being proved wrong on LLMs capabilities such as reasoning, he remained extremely negative, not exactly inspiring leadership to the Meta Ai team, he had to go.
But LLMs still can't reason... in a reasonable sense. No matter how you look at it, it is still a statistical model that guesses next word, it doesn't think/reason per se.
Reasoning is the act of figuring out how to solve a problem for which you have no previous training set. If an AI can reason, and you give it a standard task of "write me a python file that does x and y", it should be able to complete that task without ever being trained on python code. Or english in general.
The way it would solve that problem would look more like some combination of Hebbian Learning and Mu Zero, where it starts to explore the space around it interms of interactions, information gathering, information parsing, forming associations, to where it eventually understands that your task involves the action of writing bytes to a file in a certain structure that when executed produces certain output, and the rules around the structure that make it give that output.
And it will be able to do this through running as a model on your computer, or a robot that can type on a keyboard, all from the same code.
LLMs appear to "reason" because most people don't actually reason - a lot of people even in technical fields operate on a principle of information lookup. I.e they look at the things that they have been taught to do, figure out which problem fits closest, and repeat steps with a few modifications a long the way. LLMs pretty much do the same thing. If you operate like this, then sure LLMs, "reason". But there is a reason why LLMs are barely useful in actual technical work - under the hood, to make them do things autonomously, you basically have to specify wrapper code/prompts that take often as long to write and finetune as actual code itself.
It is insane to think this in 2025 unless you define "reasoning" as some mechanical information lookup. This thinking (ironically) degrades the meaning of reasoning and of intelligence in general.
I guess Claude maybe useful for finding errors in large Excel Workbooks.
May also help beginners to learn the more complex Excel functions (which are still pretty easy).
But if you are proficient at building Excel models I don't see any benefit.
Excel already has a superb very efficient UI for entering formulas, ranges, tables, data sources etc I'm sceptical that a different UI especially a text based one can improve on this.
I understand the sentiment about a skilled user not needing this, but I think having a little buddy that I can use to offload some menial tasks would be helpful for me to iterate through my models more efficiently; even if the AI is not perfect. As a highly skilled excel user, I admit the software has terrible ergonomics. It would be a productivity boon for me if an AI can help me stay focused on model design vs model implementation.
For some reason, I find that these tools are TERRIBLE at helping someone learn. I suspect because turning one on, results in turning the problem solving part of ones brain off.
Its obviously not the same experience for everyone. ( If you are one of those energized while working in a chat window, you might be in a minority - given what we see from the ongoing massacre of brains in education. )
Paraphrasing something I read here "people don't use ChatGPT to do learn more, they use it to study less".
Stored generated columns would be much more useful if they could reference other rows and tables, they are limited to only the current row.
Automatic incremental view maintenance would also solve this problem, but is unfortunately still a glaring omission in Postgres capabilities.
I love Postgres but my biggest disappointment with them over recent years, is they are still missing automatic incremental materialized view maintenance.
Has been proposed for many years but never implemented, there are extensions but they are not popular which makes me weary to use them.
Would be so nice to have in the core, would also be nice to have an explanation as to why they can't do it?? Oracle has had this for many years.
Looks good but what about Named Parameters? Why on earth is Javascript still missing such an important feature? I know you can kind of fake it with objects, but is clunky in comparison.
That's actually a benefit. It allows the type signature to be used to compose and verify what you're passing to a function, and to use that same interface in other places.
Steve Jobs duly listed browsing the web, dealing with email, watching videos, listening to music, playing games, reading ebooks, and enjoying photos. Coincidentally, those were the exact things the iPad was really good at.
Agreed * Except Music * I have loved having many iPads, but the speakers have always been terrible and they point the wrong way - about time this was fixed.
One of the basic principals of the EU is freedom of movement between countries.
One could argue that imposing such an onerous tax on moving to another EU country breaks this principal, so maybe worth a legal challenge - for someone with a lot to loose.
Or, alternatively, the bureaucrats in charge would argue that all EU countries need to implement similar exit taxation laws - that's where it seems to be heading lately.
reply