The very fact that Apple thought they were going to run AI on iPhones says that leadership doesn't understand AI technology and simply mandated requirements to engineers without wanting to be bothered by details. In other words, Apple seems to be badly managed
Having worked in academic research, industrial research, and programming in the US, I agree strongly with the sentiment here. From what I've seen, many US companies--even those claiming to be research focused--don't really engage in actual research and confuse it with development. This conflation of research with product-driven iteration has created a gap left to be filled by US competitors
I see a lot of comments about Universities being inefficient, bloated with administrators, and that the cap on indirect rates is justified. I agree, but it is not as simple as made out to be.
I've worked at a university, startup, and large company. In terms of efficiency, startup > university > large company. In other words, large companies are less efficient than universities and universities are less efficient that startups.
I agree the grant overhead is ridiculous and that Universities are bloated with administrators. It felt like every 6 months, an administrator would find a previously unnoticed rule that would indicate my office placement violated some rule, and I would have to move. I think I went through three office moves. Ugh. On the other hand, universities provided time and resources for real work to get done
...Detonating a 81 Gt nuclear device... That's multiple orders of magnitude larger than anything tested during the cold war. It's more than all nuclear explosions and tests combined
My guess is that new architectures will be about doing more with less compute. For example, are there architectures that can operate at lower bit precision or better turn off and on components as required by the task?
Someone tried something very similar on me last month to steal my google account. Honestly, I almost fell for it. The giveaway was how desperate the caller was for me to complete the last step
Agreed. So many times I have to put Wikipedia or Reddit behind my search to get anything useful out of google. So it can work. Google is clearly prioritizing junk over value
Nature tends to select things that are just good enough. If nature was optimal, we wouldn't have appendices that need removal, a backward retina, or spines optimized for horizontal placement.
Junk DNA can be vestigial. It had a purpose. It no longer does. If there's no selective pressure to get ride of it, it will remain, adrift. The belief that because it exists it must have a purpose could be a human bias
Biology is super complicated with lots of surprising dependencies between different biological pathways. So it is possible. That said, I am skeptical as well. For example, if the body sheds 15% of its weight, does the heart naturally shrink by 15% as well? With so many people taking these drugs, there is enough data to begin to profile the rare risks of these drugs in humans (the clinical trials would have found any of the obvious risks)
Actually, I wouldn’t be surprised if Google is so disorganized they are unable to close these loopholes. Any of the things you suggested could’ve already been done long ago, but haven’t
Progress with LLMs would seem to support the title. The language abilities of LLMs does not seem to lead to higher thought, so there must be additional processes that are required for higher thought or process that don’t depend on language
I wonder if arbitration is not the point. The goal might be to slow down the court system, forcing the court to pause and think about every little thing, such as arbitration, even if the court will never side with Disney on this issue
I’ve received opened packages of baby food from Amazon. Of course, I immediately threw it away and didn’t even bother returning it, knowing that somebody else would end up with whatever was in the package. Amazon has some real problems and I cancelled my prime account over this and other issues
Except that the FDA frequently denies treatments lacking evidence of benefit except in these two cases. The real problem is that it costs too much to bring new treatments through a clinical trial
So, I can understand how their semantic entropy (which seems to require a LLM trained to detect semantic equivalence) might be better at catching hallucinations. However, I don't see how semantic equivalence directly tackles the problem of hallucinations. Currently, I naively suspect it is just a heuristic for catching hallucinations. Furthermore, the requirement of a second LLM trained at detecting semantic equivalence to catch these events seems like an unnecessary complication. If I had a dataset of semantic equivalence to train a second LLM, I would directly incorporate this into the training process of my primary LLM
Learning LangChain is effort, but not as much as truly understanding deep learning, so you learn LangChain and it feels like progress, when it may not be
Let me get this straight:
1) Oracle allowed anyone to download Java, seemingly for free
2) Somewhere in the fine print it said you might have to pay Oracle for using Java, but this was not transparent when you visit the download page.
3) Oracle is hunting down everyone who downloaded Oracle.
Is this right?
What was Open AI's legal team afraid of? I can only speculate, and maybe there wasn't a single reason for their LIFETIME clause, but I'm going to guess it has to do with the sources of data used to train chat GPT
I’m guessing the problem here is that Hertz didn’t have chargers. I rented and EV was allowed to return the car with 10% battery. The rental, I assume, had a charger on site. It was a super great experience. I would not use hertz if I had to charge the car upon return, and I say this is a Tesla owner knowing how the charging navigation works
How about expanding admissions to more students rather than making it free. With the earning power that clinicians command, they won't have trouble paying off the fees. But patients deserve more doctors and more talent deserves the chance to become doctors.
Yeah, I’ve noticed the same thing too. It’s like all the jobs I see are paid promotions and the good jobs are buried in the back. I even have LinkedIn premium. It seems that LinkedIn forgot I’m a paying customer