1980phipsi

How much time do the doctors spend to diagnose versus o1?

And at the same time the car companies want to move away from Apple CarPlay, which for any of its fault is a substantially better UI than we can expect the legacy carmakers to produce.

The deterioration in the Windows and Office experience is astounding.

I took calculus in high school and college, and I don't think any of my instructors explained the intuition as well. So sleep-deprived or not, it's a great one!

A write-up on the D language blog on the recently accepted DIP that enhances tuple unpacking.

You can deposit checks via the app pretty easily.

I attach a copy of the file and then provide a network location for where it is located. Makes it easy for people to just open up a simple copy to look at it and they know where to go to access the original.

It's packaging an existing product differently than a fully new product. Would still require either new machines or adapting existing machines for it.

My thinking is that the company creating the game would train the AI in advance (like a generative adversarial network), not that any kind of training would happen on the users' computer. They could periodically send updates or improvements (maybe by having it play in multiplayer or something).

I would love to see someone use modern machine learning techniques to make a kick ass Civ AI.

This sounds like Berkson’s paradox.

The lack of people in them was the thing about going to one that always felt weird to me.

I was able to install the D language compiler DMD by providing a .deb file.

https://chatgpt.com/share/69781bb5-cf90-800c-8549-c845259c33...

At the end of the day, the goal is to make a product that people find useful. How that ends up happening is almost completely irrelevant to the people actually using the product.

How is this for an ordering:

Good human written docs > AI written docs > no docs > bad human written docs

Any idea why swapping didn't pan out for Tesla? My understanding is they are doing that in China.

Anyone familiar with basic economics is pulling their hair out reading this, because there's one extremely obvious way to lower the price of building new housing: Reducing or eliminating tariffs on construction equipment and materials and ensuring a robust supply of low-cost labor.

And just in general reducing the restrictions on building in places with high rent to income ratios.

Yeah, I don't mind paying for something, but they broke a bunch of stuff last year and it's still not fixed. That's what annoys me about plex.

Game publishers have already publicly floated the idea of not selling their games but charging per hour. Imagine how that impact Call of Duty or GTA.

MMORPGs have had monthly subscription fees for a long time.

For a lot of games if they charged by the hour would probably see less revenue...people buy tons of games and then barely ever play them.

I think it's reasonable to argue something like, "some IP protection is good, but too much is bad, and we probably have too much right now." It would be impossible to calibrate the laws so that the amount of IP protection is socially optimal, but we can look at the areas where the protection is too much and start there.

> A few billionaires might have additional vacation homes, but they are not going to consume a million homes, much less 10 million.

Sumner is somehow unfamiliar with the concept of a landlord or vacant property investment.

I'm sure he is not unfamiliar with either...

Not sure what landlords have to do with anything since washing machines are often included as part of a rental (or the apartment doesn't have a washing machine, but what does that have to do with landlords?).

And vacant property investment is a small fraction of total property ownership in the US. It's more common that people have a vacation home and rent it out part of the year.

> progressive consumption taxes

When someone proposes one, let me know.

They have been proposed...many times. In fact, the US's system has elements of a progressive consumption tax already since people can put retirement savings in IRAs/401ks. What would make it a more complete progressive consumption tax would be to either raise the limits on contributions to these retirement accounts (and remove income limits), and also introduce accounts like these that are meant as more universal savings vehicles. This is preferred (in my view at least) to just cutting dividend and capital gains rates to 0% since that would benefit existing rich people.

Let w be the vector of weights and S be the comformable matrix of covariances. The portfolio variance is given by w’Sw. So just minimize that with whatever constraints you want. If you just asssume weights sum to one, it is a classic quadratic optimization with linear equality constraints. Well known solutions.

It is also important to note that, until recently, the GenAI industry’s focus has largely been on training workloads. In training workloads, CUDA is very important, but when it comes to inference, even reasoning inference, CUDA is not that important, so the chances of expanding the TPU footprint in inference are much higher than those in training (although TPUs do really well in training as well – Gemini 3 the prime example).

Does anyone have a sense of why CUDA is more important for training than inference?

Aka vertical integration.

It’s much clearer when you write these problems in terms of matrix math. The minimum variance portfolio is very important in finance.

LDC isn't regularly behind DMD lately. The issue lately has been more the release process with respect to DMD. People issues impacting that.

The fix for this is for the AI to double-check all links before providing them to the user. I frequently ask ChatGPT to double check that references actually exist when it gives me them. It should be built in!

I would distinguish between visual imagination and visuospatial reasoning.

For people like myself with aphantasia, there are often problems solving strategies that can help you when you can’t visualize. Like draw a picture.

And lots of problems don’t really require as much visual imagination as you would think. I’m pretty good at math, programming, and economics. Not top tier, but pretty good.

If there are problems out there that you struggle with compared to others, then that’s the universe telling you that you don’t have a comparative advantage in it. Do something else and hire the people who can more easily solve them if you need it.

Data science wasn't even a degree you could get 20 years ago. Twenty years ago if you were interested in what is now called data science, you were getting a degree with some kind of exposure to applied statistics. Economics is one of those disciplines (through econometrics).

One of the difficulties with these models would be backtesting investment strategies. You always need to make sure that you are only using data that would have been available at the time to avoid look-ahead bias.