Array programming where we compare first and look for the first failure later will not help much here if runs are short because by itself it doesn't give you early termination and you may spend a lot of time on wasted comparisons.
I find it fascinating that two of the most (if not the two most) original, inventive, and outright weird British writers of the 20th c., Ballard and Mervyn Peake, spent their early years in China.
"It will help us solve some of the biggest problems society faces from accelerating drug discovery to developing new clean energy sources to creating novel advanced materials" — but these are not the real problems plaguing modern developed societies, are they? What developed societies really need to figure out right now is how to distribute the already available resources without making people miserable, and so far AI hasn't been helpful.
For context, I have access to MS Copilot through my workplace. To see what it looks like, I have tried to login through https://copilot.microsoft.com/ , where I was informed that my account, although recognised, is not yet supported. However, I can get more or less the same chat window, with access to all the data, through https://m365.cloud.microsoft/ A redirect could have been useful.
Given the sheer volume of the output, it is conceivably difficult to maintain the quality of the plots/characters, even if the animation is stable or even improving. As a byproduct of that, more and more ambitious/batshit source texts are being animated, which sometimes works well (Dandadan) and sometimes doesn't (Uzumaki).
Yes, they do have money to burn, and this will bring some improvements for sure, but active learning has never really worked out, has it? And even 10% of the educated population doing this for, like, 50 years is not that much data, while normally each accuracy percentage is more and more data-expensive.
Not the worst way to make money, but if internet-scale data were not enough to reduce errors to a somewhat tolerable margin, how much data do they hope to collect in this manner?
> Noone is really caring about hallucinations on point facts these days though, it is much more about complex reasoning tasks.
The boundary is pretty thin there though. E.g., Gemini recently told me that a certain papers claims that two frameworks are mathematically equivalent, while the paper shows the opposite, and yesterday Google's AI overview told me that no World Cup matches were scheduled for that day despite their being several of them. The model probably used complex reasoning to arrive at both (incorrect) answers, but superficially they look like basic errors of fact.
The main problem here is that hallucination suppression doesn’t generalise. We can penalise models for incorrect answers on a wide range of questions, but this doesn’t lead to the emergence of a coherent worldview, which, coupled with logical abilities, is the only true remedy against hallucinations. With current architectures, hallucinations will likely persist on open-domain tasks forever.
TL;DR: "Your body passes through a ring of underwater sensors, each acting like a dolphin, using its echolocation. The sensors send ultrasonic sound waves through your body from every angle. With enough waves, and enough angles, we form an image of what's happening inside your body."
In many places, there is a distinction between "master's through research" (a gateway to PhD) and "master's through study" (more coursework, less independent research, a gateway to r-n-d-level positions in the industry).
But nobody has 4 + 4? The traditional system was in Europe 5 + 3, now we mostly have 3/4 + 2 + 3 (Europe) or 3 + 1 + 3 (UK/Ireland).
I don't have a lot of experience with the US system, but from my experience after 3/4 years newly minted postgrads are probably not yet ready to knowingly commit to 5 years of specialised training. European-style MA/MSc's often feel "useless" because they actually help people switch course and find a new footing. However, good master's programmes are either flexible enough for advanced students to take more specialised modules or have high demands to begin with.
meet.hn/city/53.4625600,-1.9570800/SK13-1EF