macleginn

An unintended consequence may be the separation between master's and PhD programmes, like what is normally done in Europe.

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.

The overall resemblance to Ticket to Ride's Indian map is rather striking.

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).

They are poor at generalising from a small number of examples; this is why the real generalisation power is achieved in pre-training.

Unremarkable base model will remain an unremarkable fine-tuned model that memorised a couple thousand of input-output pairings.

They normally don't do self-set-up real-time monitoring though.

Ok, cool, depends on application, probably.

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.

It's been 63 euro for some months now.

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."

Dolphins aside, is this basically a new angle on https://en.wikipedia.org/wiki/Ultrasound_computer_tomography?

The actual paper: https://papers.ssrn.com/sol3/papers.cfm?abstract_id=6787638

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.

There may be issues with the implementation, but masters only programmes are absolutely commonplace in Europe. Some are better, some are worse, but good ones are genuinely helpful for people to, e.g., upskill before going into industry or decide whether they want to do a PhD.

https://archive.is/nu26P

An old C++ library using a related approach (DAWG) was seemingly created by a Japanese programmer: https://code.google.com/archive/p/dawgdic/

It was later used to power a popular Python package for processing Russian morphology (pymorphy).

It doesn't really matter if the model cannot make a good educated guess about calories in the food if it cannot give a consistent response given the same input.

Matt Levine: "Which honestly is a little bit cool? I mean, bad, whatever, correlated and predictable and manipulable. But also, like, everyone who runs the big frontier artificial intelligence labs is going around saying that in a few years they will build a superintelligence. What if one good use of superintelligence is deciding how to allocate capital throughout the economy? What if Claude becomes all-wise and all-knowing? What if we just delegated all economic decisions to Claude; what if it wisely decided what projects to fund and what businesses to pursue? How would that happen? How would “we,” collectively, delegate all our economic decisions to Claude? Maybe like this? Maybe all the retail investors will delegate their investing decisions to Claude."

Years ago I ordered Ninja 2 from Japan and was sadly expecting to pay another 20% or so in customs fees, but the price was given in yen, and the customs probably couldn’t figure it out, so they released it to me for free. It’s still going strong.

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https://archive.is/sV8Yq

If the author sees this: it's "whose old Apples", not "who's". Only mentioning this because it's very prominent on the landing page.

Also the feedback form doesn't work in Firefox, Chrome, and Edge.

Surprisingly, this seems to be not true. Moscow, a city of 10+ million people, has huge forests inside or adjacent to the city limits. People leave rubbish here and there, but unless forests are rezoned and actively developed as "recreation zones" or some such, they are doing okay. One can easily find more species of birds in a large Moscow park than in the whole of Baden-Wuerttemberg. The trick is not depleting the ecosystem to begin with.

This is very nice, but unfortunately, it will take forever (in human-life terms) to bring "real" forests back.

(In my previous post, I forgot to mention stunning rainforests near Sintra in Portugal.)