Because the people with power funding this shit have pretty much zero overlap with the people making this tech. The investors saw a talking robot that aced school exams, could make images and videos and just assumed it meant we have artificial humans in the near future and like always, ruined another field by flooding it with money and corruption. These people only know the word “opportunity”, but don’t have the resources or willpower to research that “opportunity”.
Attaching those 3 to anything should be an immediate red flag about the following.
Assuming I’m an android fan for pointing out that Apple does shady PR. I literally mention that Apple devices have their selling point. And it isn’t UNMATCHED PERFORMANCE or CUTTING EDGE TECHNOLOGY as their adds seems to suggest. It’s a polished experience and beautiful presentation; that is unmatched. Unlike the hot mess that is android. Android also has its selling points, but this reply is already getting long. Just wanted to point out your pettiness and unwillingness to read more than a sentence.
Big leap for OpenAI, as in a kind of ML model they haven’t explored yet. Not that big for AI in general as others have done the same with similar result. Until they can make graphs where they look exceptionally better compared to other models than their own, it’s not that much of a breakthrough.
Dang, OpenAI just pulled an Apple. Do something other people have already done with the same results (but importantly before they made a big fuss about it), claim it’s their innovation, give it a bloated name so people imagine it’s more than it is and produce a graph comparing themselves to themselves, hoping nobody will look at the competition.
Just like Apple, they have their own selling point, but instead they seem to prefer making up stuff while forgetting why people use em.
On a side note they also pulled an Elon. Where’s my AI companion that can comment on video in realtime and sing to me??? Ya had it “working” “live” a couple months ago, WHERE IS IT?!?
Why are right wing parties obsessed with AI posters? And like HORRIFICALLY BAD AI posters? They’re creepy as hell. In my country too, it’s just unsettling. I guess it’s easier than a photoshoot and allows you to make any obscene shit you want… Or just straight up lie.
This process is akin to how humans learn…
I’m so fucking sick of people saying that. We have no fucking clue how humans LEARN. Aka gather understanding aka how cognition works or what it truly is. On the contrary we can deduce that it probably isn’t very close to human memory/learning/cognition/sentience (any other buzzword that are stands-ins for things we don’t understand yet), considering human memory is extremely lossy and tends to infer its own bias, as opposed to LLMs that do neither and religiously follow patters to their own fault.
It’s quite literally a text prediction machine that started its life as a translator (and still does amazingly at that task), it just happens to turn out that general human language is a very powerful tool all on its own.
I could go on and on as I usually do on lemmy about AI, but your argument is literally “Neural network is theoretically like the nervous system, therefore human”, I have no faith in getting through to you people.
Sounds like a privacy nightmare honestly. Also a kind of black mirror like social point system.
Navigation is the only one that sounds neat, but also a bit brain rotting. I already don’t know where I am half the time because of navigation.
I’d like more basic things, like a floating music player, sticky notes/todo list, notifications bar or video/text, when looking at a restaurant seeing the reviews and menu with order options, looking at a product and getting more info. Just stuff that I’d need to manually look up otherwise or things that would be infinitely better without being hunched over a handheld device.
There’s plenty of room for improvement. I’m hoping we’ll see more stuff like the bigscreen beyond. The main reason I haven’t used my headset in like a year or 2 is just the annoyance of using it. Setting it up, cleaning it and my self, the weight because no-one wants to make a proper PC headset.
Thanks, fixed!
A big difference is that unlike Russia, they didn’t immediately annex the region, without even controlling the capital. They even announced that annexation isn’t happening. They plan on returning this buffer zone/bargaining chip, once they have a guarantee that Russia will put an end to the endless invasions they’ve been partaking in since the federation’s inception. Or at least on their territory, but it would be nice if they stopped being a terrorist state.
Also Ukraine has proven to be a MUCH more merciful invader than Russia, it’s not even comparable. Actually proving the smallest amount of basic needs and help with evacuation for the occupied population. As opposed to RAPING THEM TO DEATH! Russia’s army manages to commit worse atrocities while running away than the invading Ukranian force, it’s honestly unbelievable… Plundering their own. You can’t make this shit up.
Just impose mandatory annual fitness tests after the retirement age. No clue how it’s in America, but here that’s how it works with driver’s licenses (tho it’s not annual, but every 2 years). I mean most jobs require some fitness test, so why not positions is power? (rhetorical question, it answers it self)
Nah, they actively avoid it. My mom was also like this, and when we did experiments as a kid and something didn’t work “we were just doing it wrong”.
Calling the reward system hormones, doesn’t really change the fact that we have no clue where to even start. What is a good reward for general intelligence? Solving problems? That’s our current approach, which has the issue of the AI not actually understanding the problems and just ending up remembering question answer pairs (patterns). We need to figure out what defines inteligence and “understanding” in an easily measurable way. Which is something people knew almost a hundred years ago when we came up with the idea of neural networks, and why I say we didn’t get any closer to AGI with LLMs.
In theory. Then comes the question of how exactly are you gonna teach/train it. I feel our current approach is too strict for proper intelligence to emerge, but what do I know. I honestly have no clue how such a model could be trained. I guess it would be similar to how people train actual braincells? Tho that field is very immature atm… The neat thing about the human brain is, that it’s already preconfigured for self learning, tho it does come with its own bias on what to learn due to its unique needs and desires.
All I’m thinking is that we recorded the highest temperatures in a desert in all human history. Almost whopping 10 degrees celsius above the previously recorded record. Sweet Jesus that’s a lot… That’s not fucking natural. What will it take for you to admit that a place known for being hot might be a bit too hot? Maybe once all creatures and plants in deserts cease to exist? Or does it all need to turn to glass before maybe, just maybe it’s a bit hotter then it should?
They are indeed. It has multiple steps, but pretty much. 3Blue1Brown has a nice visual explanation: https://www.youtube.com/watch?v=wjZofJX0v4M
If there was ever a good time to use tactical nukes, it was now. Since he didn’t there’s obviously a reason, be it their questionable state or them being scared of the west’s retaliation.
You can think of the brain as a set of modules, but sensors and the ability to adhere to a predefined grammar aren’t what define AGI if you ask me. We’re missing the most important module. AGI requires cognition, the ability to acquire knowledge and understanding. Such an ability would make larger language models completely redundant as it could just learn langue or even come up with one all on its own, like kids in isolation for example.
What I was trying to point out is that “neural networks” don’t actually learn in the way we do, using the world “learn” is a bit misleading, because it implies cognition. A neural network in the computer science sense is just a bunch of random operations in sequence. In goes a number, out goes a number. We then collect a bunch of input output pairs, the dataset, and semi randomly adjust these operations until they happen to somewhat match this collection. The reasoning is done by the humans assembling the input output pairs. That step is implicitly skipped for the AI. It doesn’t know why they belong together and it isn’t allowed to reason about why, because the second it spits out something else, that is an error and this whole process breaks. That’s why LLMs hallucinate with perfect confidence and why they’ll never gain cognition, because the second you remove the human assembling the dataset, you’re quite literally left with nothing but semi random numbers, and that’s why they degrade so fast when learning from themselves.
This technology is very impressive and quite useful, and demonstrates how powerful of a tool language alone is, but it doesn’t get us any closer to AGI.
Emulation is the only reason I ever was a nintendo fan at all. I despised consoles for everything they stood for. Stripped down computers with a very shitty shelf life, and now paying for your own internet twice??? I used to emulate a lot and jumped on the delusion bandwagon that nintendo is good, which led me to beg my parents to buy me a wii and later a switch on launch day. Now that their games are also kinda shit, there’s very little insensitive anyways. Fuck nintendo.