Tesla has been this for a long time since the price fundamentally does not reflect the quality or future of the company, yet the road is littered with dead Tesla bears.

Efficient markets hypothesis breaks down with Musk companies.

Agree they’re great but it does fascinate me when there are weird edge cases that Apple mess up.

For example if I have my phone and laptop running, and I’m listening to something on my phone, I pause with my AirPods, and then I unpause with my AirPods, instead of what was playing on my phone resuming through my AirPods, a video that I’ll have forgotten about will instead play through my laptop speakers, and pressing pause on my AirPods will do nothing and I have to interrupt whatever I’m doing to pause on the laptop. Possible they’ve fixed this specific issue though since I’ve learned to not have anything that has media controls open on my laptop.

The cross platform control stuff is probably very hard and usually works though.

I gave up on USBC headphones because if your port becomes full of lint (say by being in your pocket all day), it doesn’t take much to disturb a USBC connection and cause it to go through the whole handshake all over again for a few seconds.

Compared to 3.5mm where the frustrations I remember were usually limited to sometimes getting a bit of a crackle or one of the audio channels dropping out and worst case scenario you just unplugged it and put it back in and it usually worked. With USBC you have to wait to see.

Gut cleanses are probably stupid but I wonder if people would benefit from taking antiparasitics prophylactically. It's not something I've ever done, but I eat sashimi pretty regularly and wonder if I should take something like praziquantel because I'm probably at risk for Japanese broad tapeworm, and the symptoms are mild enough I can't really tell without testing, but the price of actually testing is much higher than just taking a drug with a great safety profile.

For similar reasons, I also wonder about people who consume raw milk. These people are more likely to endorse ivermectin for e.g. covid, because it made them feel much better. Maybe it's possible these people aren't lying about that, but not because it cured their covid.

These days I use Apple hardware despite Apple’s software, not because of it.

Better yet, a link to Kaggle and provide prize funding for a few dozen competitions with most of them open to UK residents only. Directly incentivise the most driven types of people to compete and learn and give local firms a way to identify talent.

But I guess donating another £4MM to PwC is more sensible.

You could have contracted 5 small firms for £400k each (which, for this project seems frankly seems excessive) and even if a couple failed to deliver you'd have gotten 3 separate products to choose the best quality one from, £148k to legally chase up the firms who failed to deliver, and still had £2 million left over.

I agree a good solution isn't easy to come up with, but the status quo is certainly an outrageously awful one.

I'm struggling to follow the logic on this. Glocks are used in murders, Proton has been used to transmit serious threats, C has been used to program malware. All can be legitimate tools in professional settings where the users don't use it for illegal stuff. My Leatherman doesn't need to have a tipless blade so I don't stab people because I'm trusted to not stab people.

The only reason I don't use Grok professionally is that I've found it to not be as useful for my problems as other LLMs.

You’re moving the goalposts. Gary Marcus’ proposal was being able to ask: Who are the characters? What are their conflicts and motivations? etc.

Which is a relatively trivial task for a current LLM.

The Gary Marcus proposal you refer to was about a novel, and not a codebase. I think GP's point is that motivations require analysis outside of the given (or derived) context window, which LLMs are essentially incapable of doing.

I don’t really see how this is an AI issue. We use AI all the time for code generation but if you put this on my desk with specific instructions to be light on review and it’s not a joke, I’m probably checking to see if you’re still on probation because that’s an attitude that’s incompatible with making good software.

People with this kind of attitude existed long before AI and will continue to exist.

Totally, and im not saying otherwise. I'm saying that it takes the same amount of work to become a good engineering team even with AI. But it takes exponentially less work to bacome worse team. If they say C++ makes it much more easier to shut yourself in the foot, in a similar manner LLMs are hard to aim. If your team can aim properly, you are going to hit more targets more quickly, but if and when you miss, the entire team is in wheelchairs.

Making good software isn’t what matters in most workplaces - making software that works (even if you have taped over the cracks) is.

It’s always been this way in toxic workplaces - LLM’s amplify this.