My cars are not modern enough for that, but I always carry a surveillance device in my pocket to make up for it.

I’ve always done that. If it’s not a contact, I let it go to voicemail. If it was actually important, they leave a message.

They said “the ones I have”, as in multiple. So I was wondering if all of them connect to everything, or each connect to some. That’s because I went on the 8bitdo website and I looked at several categories. The Xbox ones listed only various Xbox models under connectivity, the Bluetooth ones only listed Switch, the 2.4G and wired ones only listed Windows and Android.

The ones I have work on switch, Xbox, pc, android, iOS, etc.

Is there a single controller that I can use on switch, Xbox and pc?

It’s not lying or hallucinating. It’s describing exactly what it found in search results. There’s an web page with that title from that date. Now the problem is that the web page is pinterest and the title is the result of aggressive SEO. These types of SEO practices are what made Google largely useless for the past several years and an AI that is based on these useless results will be just as useless.

regarding the logos bit - have you never had a profound realisation that happened so quickly in your brain and on the level of pure emotion (instead of words)

Logos means word. That is the confusion I was talking about. If you experience something as pure words then it should be extremely easy to verbalize.

I am confused. I’d think something experienced “as pure Logos” is the easiest to verbalize. And why is the image representing it as fractal imagery?

I was going to say. That was just common practice in my native country. We did use the most common brand names sometimes, but even then we used them interchangeably (if we asked for Nurofen we really meant ibuprofen and didn’t care if we got another brand; like asking for a kleenex)

Isn’t Paracetamol a brand name for acetaminophen?

Edit: just googled it, apparently they’re both generic names for the same thing (like aspirin / acetylsalicylic acid)

Deep learning did not shift any paradigm. It’s just more advanced programming. But gen AI is not intelligence. It’s just really well trained ML. ChatGPT can generate text that looks true and relevant. And that’s its goal. It doesn’t have to be true or relevant, it just has to look convincing. And it does. But there’s no form of intelligence at play there. It’s just advanced ML models taking an input and guessing the most likely output.

Here’s another interesting article about this debate: https://ourworldindata.org/ai-timelines

What we have today does not exhibit even the faintest signs of actual intelligence. Gen AI models don’t actually understand the output they are providing, that’s why they so often produce self-contradictory results. And the algorithms will continue to be fine-tuned to produce fewer such mistakes, but that won’t change the core of what gen AI really is. You can’t teach ChatGPT how to play chess or a new language or music. The same model can be trained to do one of those tasks instead of chatting, but that’s not how intelligence works.

Any type of content generated by AI should be reviewed and polished by a professional. If you’re putting raw AI output out there directly then you don’t care enough about the quality of your product.

For example, there are tons of nonsensical articles on the internet that were obviously generated by AI and their sole purpose is to crowd search results and generate traffic. The content writers those replaced were paid $1/article or less (I work in the freelancing business and I know these types of jobs). Not people with any actual training in content writing.

But besides the tons of prompt crafting and other similar AI support jobs now flooding the market, there’s also huge investment in hiring highly skilled engineers to launch various AI related product while the hype is high.

So overall a ton of badly paid jobs were lost and a lot of better paid jobs were created.

The worst part will be when the hype dies and the new trend comes along. Entire AI teams will be laid off to make room for others.

See the sources above and many more. We don’t need one or two breakthroughs, we need a complete paradigm shift. We don’t even know where to start with for AGI. There’s a bunch of research, but nothing really came out of it yet. Weak AI has made impressive bounds in the past few years, but the only connection between weak and strong AI is the name. Weak AI will not become strong AI as it continues to evolve. The two are completely separate avenues of research. Weak AI is still advanced algorithms. You can’t get AGI with just code. We’ll need a completely new type of hardware for it.

https://www.lifewire.com/strong-ai-vs-weak-ai-7508012

Strong AI, also called artificial general intelligence (AGI), possesses the full range of human capabilities, including talking, reasoning, and emoting. So far, strong AI examples exist in sci-fi movies

Weak AI is easily identified by its limitations, but strong AI remains theoretical since it should have few (if any) limitations.

https://en.m.wikipedia.org/wiki/Artificial_general_intelligence

As of 2023, complete forms of AGI remain speculative.

Boucher, Philip (March 2019). How artificial intelligence works

Today’s AI is powerful and useful, but remains far from speculated AGI or ASI.

https://www.itu.int/en/journal/001/Documents/itu2018-9.pdf

AGI represents a level of power that remains firmly in the realm of speculative fiction as on date

All progress comes with old jobs becoming obsolete and new jobs being created. It’s just natural.

But AI is not going to replace any skilled professionals soon. It’s a great tool to add to professionals’ arsenal, but non-professionals who use it to completely replace hiring a professional will get what they pay for (and those people would have never actually paid for a skilled professional in the first place; they’d have hired the cheapest outsourced wannabe they could find; after first trying to convince a professional that exposure is worth more than money)

That would be a danger if real AI existed. We are very far away from that and what is being called “AI” today (which is advanced ML) is not the path to actual AI. So don’t worry, we’re not heading for the singularity.

I met my wife in high-school, we married at 21/22, it’s going to be our 19th anniversary this year. So yeah, definitely got lucky, and I would discourage my kids from doing the same even though it worked great for us.

It’s was just notes, not work work (that’s all in the cloud). And yes,I expect things to be there the next day, it’s been decades since I was working on a 2x86 with a bad hard drive that froze ar random intervals, so I had to save every few seconds. I do save even my random notes now, just in case, but if they get closes I will probably forget about them because the whole point is to have them on screen as reminders.

I do my actual work in the cloud. But when I want to just jut down quick notes I open a Notepad window and write them there. Usually it’s something I need to remember for just a few hours later. Sometimes it’s something I’ll be expanding on somewhere permanent later on. It’s just the most handy place to write something down quickly. Sometimes I have one such window open, sometimes I end up with 6. I just so happened that night I had some more important notes that I didn’t transfer yet. I’ve got into the habit of saving them now just in case, so I have tons of small text files that I’ll probably forget about.

I never shut down or restart my computer. Then some mornings I find that Windows decided to automatically restart my computer anyway. I lost a lot of unsaved notes that way.

Sampling music is literally placing parts of that music in the final product. Gen AI is not placing pieces of other people’s art in the final image, in fact it doesn’t store any image data at all. Using an image in the training data is akin to an artist including that image on their moodboard. Except the AI’s moodboard has way more images and the odds of the work being too similar to a single particular image is lower than when a human does it.