The main limitation I see LLMs have right now is they can only produce output that’s derived from a training set. So you will never see anything completely outside that training set get generated.

For programmers, this means if you’re solving a problem that is brand new or novel in some way, the AI can’t do it. Similar to if you limited a human to copy and pasting code and never writing any from scratch.

For artists, this means that if someone asked the AI for an image outside of it’s training data of stock photography and popular culture, it’s not going to do it. Even just trying to create a novel perspective can completely fail when prompting an AI, which can really limit the AI’s ability to make creative and interesting images.

How much others care about these limitations will ultimately determine if either person will get replaced in their job.

Ironically I’ve been protecting a few servers from this attack by just not logging in to them for years at a time, lol. This has a number of disadvantages though, like not being able to apply security updates.

You can’t remove files if you don’t own them?

That would set a precedent that they have to do that every time, and would effectively be a win for consumers. I’d love it if this happened, but it won’t. They’ll fight it to the end

If they got it confused with Frank’s Red Hot Sauce, that would make more sense, because companies are putting that AI shit on everything.

What would you suggest people do then? Not vote at all? Is there any candidate at all that you would consider not pro-genocide? How about making suggestions instead of just shitting all over what others are considering as the best option.

In all seriousness, you should probably burn any password you enter into a website that isn’t the one you’re logging in to. Even if you don’t submit anything, I’d be paranoid about it getting logged in some JS telemetry or something like an auto-complete query. How many passwords do you think Google has collected by people accidentally pasting/typing a password in their search bar?

It’s been common for a while for Canadian doctors to move to the US because they can make higher salaries. I suspect part of the shortage is “brain drain”, but also, COVID news coverage has really highlighted the working conditions to the public, so that could be making potential students reconsider.

For NASA, data types don’t matter when you’re programming Voyager 1 and 45 years later it gets hit by an energy burst causing 3% of the RAM to become unusable, and it’s transmitting gibberish. It’s awesome they were able to recover it.

This still isn’t specific enough to specify exactly what the computer will do. There are an infinite number of python programs that could print Hello World in the terminal.

The problem with this argument is it’s preventing infrastructure improvements for everyone else who CAN bike/walk/take the train/bus/whatever.
I don’t bike because it’s just not safe to do in my area due to car traffic and a lack of bike infrastructure. I would bike and take public transit more if I could.
The maybe 20% of people who are disabled or have other reasons to need a car (like moving large items) can continue using the now much less congested roads, while the rest of people are on alternative transportation.

Personally I think Toronto should focus on finishing their damn light rail expansions instead of proposing a giant new tunnel for cars under the city that will cost billions and solve nothing.

Based on some rough calculations… no. A precision of 0.0000000000001 ohms is 1000x less than the resistance of 1um of copper with a diameter of 1cm (A piece of wire 10,000x wider than it is long). I’m sure a few molecules of air between your contact points would cause more noise in the measurement.

This is exactly how high precision resistors are calibrated. A laser is usually used to notch out bits of the resistor to tune it after it’s made.

You could get exactly 6.1854838709677 for an instantaneous moment by heating up a 6ohm resistor.

What the “middle class” can afford has changed quite a bit in the last few decades. Owning a home is arguably “upper class” at this point. The median US income was only $80k in 2023. Pentions are also getting increasingly rare. What used to be considered middle class is now struggling to get by. Middle class is defined by the income of the middle third of the population, not by a particular lifestyle.

Idk, I kind of like knowing how many layers of clothes I need to put on before I leave the house. Especially when the wind chill can make it feel like another -10°C pretty easily.

I agree with this, but I don’t think we’ll ever be able to have that again. AI slop is drowning out all the genuine content regardless of monetization. What’s the incentive to put hours of effort into something if nobody will ever see it because every hour another 1000 AI versions were generated and they’re all “close enough” to fool someone not paying attention?

I’m not sure Sam Altman even knows what labor is.

I’ve seen pretty much the same thing happening in the programming space. In another 10 years there’s going to be a massive shortage of senior programmers who are capable of doing anything more complicated than the AI, and able to sort out the messes everyone’s creating with it.

All the companies not wanting to hire entry level programmers right now is also a big problem for those starting now. I can only hope companies realize AI is not a replacement for a human’s learning ability.