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These are articles are basically all speculation with no solid evidence.

Nortel was dying way before Huawei got involved.


apart from the skepticism and anti AI hype. One down side that is pointed out is that AI has the potential to dissuade people from learning. Why go through the pains of learning something when an AI can do it faster and better.

I do get the argument that it is a tool and everyone will have to adapt around it. But at some point it can be extremely demoralizing that a phd project that took months or years can be done by AI in a fraction of the time.


I completely agree. I also love the transparency that it provides as to where it is getting the reasoning for making a specific claim.

I can also ask it to just reference research papers and it will find relevant data relating to my query from peer reviewed sources.


It sounds like you need to be using the research function, which takes ~3 minutes but does a much more in depth search to find more relevant data.


3 minutes is too long for exploratory searches, where I'm not sure what I'm even looking for. And 3 minutes feels too short for deep research which I'm expected to trust some complex result which I either don't know enough about myself (that's why I'm searching for it) or know enough about to the point that AI probably can't do something that I already couldn't within a couple minutes.

I think the sweet spot for AI results is around 10-30 seconds. It's fast enough that I'm willing to wait for the results even if I'm not sure I'm exploring the right topic. And it's also fast enough that even if I knew what to search for, it can give me summarized results faster than I could read on my own.


Hm, I'd think, AI aside, that if 3 minutes is too long for an exploratory research, that's not going to be good quality exploratory research...


Can someone explain to me why you would want to do something like in the example of calculating age based on birthdate? Why wouldn't you do that within an app or within code rather than having a database function?


Do we really know why LLMs seem to score the highest with python related coding tasks? I would think there are equally good examples of javascript/c++/java code to train from but I always see python with the highest scores.


Could be related to how flexible Python is. Pretty easy to write bad and "working" Python code


I'm genuinely asking this out of curiosity and a bit of naivety — are there as many international students pursuing advanced degrees in China as there are in the U.S.? I don't know the answer and would love to hear from folks who do.


well, not having a unified language slows down things on the other end.


I believe this is actually the second time google has tried to buy this company too. They had to give them a too good to refuse offer.

While it seems like we aren't getting a ton of people who have used the product in the comments. I can tell you it checks a lot of boxes to make people sleep better at night with customer data in the cloud.


its not even just arch linux. you can literally buy a PC from anyone who sells ubuntu 24.04 and you still cant properly install (and have them work out of the box) snap store items like shutter.


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