So, even though Git seems to be ok (people who store large binary files or who run huge monorepos would probably disagree), maybe we can do better.

Altavista was kind of okeish for search, yet Google managed to figure out something that was (at that time) way better.

1. Do the survey/focus groups to figure out a hot topic for a song. For instance your exploration shows that 300K girls between 13 and 17 years old were left by their boyfriend, so there is a 300K market for a song about that.

2. Find someone or group who will sing the song. Something your target audience will identify. E.g. "rebellious teenager" (take Britney Spears), "we need a group that will attack larger target" - take Spice Girls - we take one black, one white, one Latino looking (doesn't have to be real Latino, obviously), one polite and nice, one impolite. You get the point.

3. Note: singer/group does not need to know how to sing, they need to move reasonably on the scene, the rest autotune and computers will handle easily.

So, given the process, AI singer is just a little bit different "music" production process, not so much different from the one used up to date except that you don't need autotune anymore.

Luckily there are still people who do music for the sake of doing music and it really stands out as compared to 80% of fodder for listeners that is on YT, radio, Spotify.

Another funny thing is that they offer as an alternatives China produced phones (most "Nokia" models that does not have anything to do with original Nokia brand), as if supporting Xi regime was somehow better than buying in USA.

LibeOffice as a replacement for Office365 only shows that the site authors does not know what is Office365.

Vivaldi is great, I am using it, but it is built on Chromium, which is definitely not an European thingy...

LLM is going to change schools and universities a lot, teachers, tutors will have to find themselves in the new reality, as they have a strong competitor with infinite resources and huge knowledge, patient and ready to work with every student in a distinct way, according to student's needs, level, intelligence, etc.

Instruction-based tutoring is dead from that perspective, why should I follow someone reciting a book or online tutorial, while there is a tool that can introduce me into subject in a better and more interesting way?

Sure, there are great teachers, who are inspiring people, who are able to present the topic in a great way, the point is, they are minority. Now, everyone can have a great tutor for a few dollars a month (or for free, if you don't need generating too much data quickly).

Hence, in order to have RES you need to emit CO2. Deal with this. The other option, and UK goes that way, is to purchase electricity when it is lacking, paying spot prices, that's why they have such a big electricity bills, economy is down, people get mad and vote psychos.

The solution is dead simple, as France example shows. Simply use nuclear power plants and does not bother with RES, as it does not make any sense now.

Maybe, when we have technology to store efficiently electricity at scale, we can start using RES. But we just do not have that.

The end result now is that electricity in Europe is the most expensive on the World, so all manufacturing is moved to Asia, who does not bother with climate that much, that's why, despite all Europe efforts, overall CO2 emission keeps growing.

We don't understand the consequences yet... Ukraine is actively working on hunter drones that could operate on 10 km altitude to shot down enemy targets. Now, imagine that cartel, terrorists put their hands on such technology, endangering whole civilian air transport.

I am always surprised that when the planet caring, liberal Apple boss shows up on the Big Apple Event stage, he encourages people to ruin the planet by needles purchase of the new hardware, even though the old one can do the same job easily, as now the improvements are barely incremental, if any.

"Mass domestic surveillance. We support the use of AI for lawful foreign intelligence and counterintelligence missions. But using these systems for mass domestic surveillance is incompatible with democratic values"

Translating to human language: mass surveillance in USA "is incompatible with democratic values" but if we do that against, say, Germany or France this is OK. Ah, and if we use AI for "counterintelligence missions", for instance against this is also OK, even if this happens in USA.

Obviously. People keep forgetting that "Artificial Intelligence" does not think and is not intelligent. It just statistically predict next token in a sequence. It is all statistics.

So, Django 6 has new task framework, but LLM does not care, as Celery has better stats.

Side note: it is not only LLM thingy. Companies for years were choosing tech stack because of fashion or popularity, regardless on technical feasibility for a given solution. So we have companies adopting Kafka, even though it sucks for their usecase, companies switch from Jenkins to Github Actions, even though Jenkins was cheaper and more performant.