Too cute with his black socks. He looks like a good buddy.

Many apps have an option to filter on keywords for things you don’t want in your feed. It is quite effective. It’s a good start.

Around 180k miles in my Toyota Corolla from '86. It died due to rust, I was a student so I didn’t have a lot of money to maintain it. It died in 2021. Besides the rust the car could’ve lived way longer. The engine and steering was in a perfect shape. Loved that car.

We have quite a lot of public stats on the insurance companies in Denmark. You can see how many formal complaints a company have received, I.e. customers who have made a complaint a decision made by the insurance company, how many of these complaints have been in favor of the insurance company or the customer, which types of insurances each company gets most complaints about, etc. So there is a lot of data that allows you to make a informed decision about which insurance company you want to choose.

Does that mean you don’t buy insurance or are you paying someone to intentionally scam you?

It is strange that you don’t have an option to choose a insurance company who are not scammers. I mean, that no one thought of starting an insurance company which promotes self on actually helping their customers.

There are companies outside US who are not scamming people and still are profitable.

As a concept or in practice?

Nice haha, also a new one for me.

Oh, that one was new for me. In Denmark we something similar. We call it Error 40.

”Error 40", where the error is not in the machine, but approximately 40 cm in front of the screen.

In Denmark it would be Nielsen and Jensen and first name would be Anne or Peter.

Peter Petersen, Jens Jensen and Niels Nielsen are not uncommon combinations.

Jens Jensen is actually the most common name in Denmark for men and for women it is Kirsten Jensen.

Did these developers not have experience with AI?

This is from the article

But Rush and Becker have shied away from making sweeping claims about what the results of their study mean for the future of AI. For one, the study’s sample was small and non-generalizable, including only a specialized group of people to whom these AI tools were brand new.

I’m not sure focusing on one aspect to scope a reasonable and doable study automatically makes it “really low effort”.

You are right, but I believe they should at least have chosen another use case, to make it interesting. I wouldn’t have needed a study to know that an AI performs worse than a developer in a project the developer most likely built them self. The existing project might have some really weird code smells and work arounds that only the developer on the project knows about and understand. There might be relevant context external to the solution. The AI have to be a mind reader in these cases.

But, if you gave the AI and the developer a blank canvas a clear defined task, I just believe it would be a more interesting study. *

It kind of sounds like they were just handed a tool they knew nothing about and were asked to perform better with it. A mitter saw is way better and faster than a regular saw, if you know how to use it.

*edit

To make my point more clear, I don’t mean the developer needed to solve an issue that’s not related to his daily work, but a task that’s not dependent on years of tech debt or context that is not provided to the AI. And yes, by that, I don’t believe code generation from an AI have a big use case in scenarios where the project have too many dependencies and touches on niche solutions, but you can still use it for other purposes than building features.

I get the agenda of the study and I also agree with it, but the study itself, is really low effort.

Obviously, an experienced developer working on a highly specialized project, where the software developer already have all the needed context, and have no experience with using AI, will beat a clueless AI.

How would the results look like, if the software developer had experience with AI, and were to start on a new project, without any existing context? A lot different, i would imagine. AI is also not only for code generation. After a year of working as a software developer, I could no longer gain much experience from my senior colleagues (says much more about them, than me or AI) and I kinda was forced to look for sparring elsewhere. I feel like I have been speed running my experience and career, by using AI. I have never used code generation that much, but instead I’ve used it to learn about things i don’t know i don’t know about. That have been an accelerator.

Today, I’m using code generation much more; when starting a new project, or when i need to prototype something, complete mundane tasks on existing projects, make some none-critical python scripts, get useful bash scripts, spin up internal UI projects, etc…

Sometimes, i naturally waste time, as it takes time for an AI to produce code, and then it takes time to review the code, but in general I feel my productivity have gained by using AI.

In denmark he have the tradition of eating kransekage which is only available in bakeries and grocery shops around new years eve.

We usually get blinis with caviar and Crémant. We haven’t decided on anything else yet.