magic_lobster_party

This is why I rarely use AI for coding. How to put my thoughts into code is not my main concern. My main concern is that another person should understand my thoughts when reading the code.

All hope lies in Gloomwood then

HL2 still holds up after 10+ playthroughs.

Last time I played it was when the commentary track was added. Played 80% of the game in one sitting because I was so hooked.

Ain’t nothing but a heartache

That’s how these ”self driving vehicle” companies generally works.

It’s also a good way to double check your answers. If you can reach to the same conclusion through different processes, then it’s probably the right answer.

When I grew up I didn’t like drinking water. I thought it tasted bland compared to all the sugary drinks. Looking back, I think our family struggled with sugar addiction without knowing it. We consumed quite a lot of sugar in my childhood.

It wasn’t until my teenage years I questioned the amount of sugary drinks I consumed. So I just cut off all sugary drinks and embraced the way of the water.

Today I’m a proud water enjoyer.

If you’re concerned I think you should consider getting it checked out (or at least browse the ADHD communities to see if there are any other patterns you can spot).

I recently got diagnosed with autism at ~30. I’ve lived my entire life under the impression that I’m ok, only to realize I’ve never really been ok.

One of the diagnostic criteria of ADHD is that it’s life long, which means it can’t be acquired. However, it’s possible to acquire symptoms that are similar to ADHD, but then it’s probably something else.

I was in on the crypto hate. I don’t really have a hate boner for AI.

Sure, there are things to dislike about AI, but it can be moderately useful. In contrast to crypto, AI is the hype because it’s widely used. Crypto was the hype because a few people hit the jackpot.

I believe it’s mostly cultural. Alcoholic beverages are as old as civilization itself. We drink alcohol because that has been the social norm for thousands of years.

But there’s probably something about it being a beverage as well. It goes along well with food because of this, which makes it a tasteful alternative to water.

The flaw also highlighted a social engineering exploit. It’s not the first time some vulnerability has entered open source software due to social pressure on the maintainer. Notably EventStream exploit.

This is difficult to account for. You can’t build automated tooling for social engineering exploits.

Desychronization will likely happen considering the heart rate is varying. Both must somehow increase by exactly the same rate. Any slight variation will cause them to go out of sync.

Once they’re out of sync, it’s going to be hard for them to get back in sync.

This is assuming both hearts are independent systems. Could be a different story if there dependent (like connected in series rather than parallel), but in that case it’s conceptually no different than having one heart.

I don’t think the $500 million marketing budget would’ve worked if Java was introduced at a time other than the 90s.

The 80s would’ve been too early. It would just turn into a parenthesis in programming language history (next to smalltalk). The 00s would’ve been too late. It would’ve missed the dotcom bubble boat. Java came in the right time to become a dominant programming language.

I’m not saying the marketing didn’t have any influence. It probably had an big influence in which OOP language was selected for computer science education.

I don’t think OOP is as bad as many people make it out to be. It’s perfectly fine in moderation.

The problem is that it can lead to over engineered applications when abused.

Usually the teachers/professors/lecturers have no real world experience of software development besides the usually university projects

Adding to this: university projects are built on a relatively short timeframe compared to many industry projects. The growing pains that typically occur after a few years of continuous development is unlikely with the small scale of university projects.

I wouldn’t go to a university professor for advice on how to build a system that will last a decade of development.

It’s artificial in the sense that it’s not real. It’s “not real” intelligence imitating as “real” intelligence.

The derivative of an exponential is exponential. The relative difference between -1 and -2 is the same as 1 and 2.

I’d say the development is exponential. Compare what we had 4 years ago, 2 years ago and now. 4 years ago it was inconceivable that an AI model could generate any convincing video at all. 2 years ago we laughed at Will Smith eating pasta. Today we have Veo 3 which generates videos with sound that are near indistinguishable from real life.

It’s not going to be long until you regularly see AI generated videos without realizing it’s AI.

AbstractionBubbleBuilderFactoryStrategyImplementation mind you

OOP was hype during the 90s. Schools adapted their curriculum to this trend. So they needed a programming language for this, and Java became the choice. C++ is too tricky as a first language.

The result is that a lot of people knew Java, which means it’s a good choice of language if you want to recruit programmers.

I believe most of Java’s success was luck. It released at the perfect time.