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aliendepict t1_j46ix69 wrote

"AI" is becoming a little too markety... Is this thing zipping up a ton of my information and sending it back to a cloud to be computed, then learning how I typically move my head and using predictive analysis to anticipate that?

Or... Is it just using pre programmed algorithms to match my movements to the speaker position and moving the speaker?

I'm guessing the latter... So not an intelligence at all...

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barzamsr t1_j46mmtp wrote

I agree that the word AI is too "markety", but I think you've fallen into the same trap.

The most commonly held definitions of AI amongst actual experts in the field lie along the lines of being able to use information to make decisions in pursuit of a goal.

If "pre programmed algorithms" use information about the position of your head to direct hardware to "beamform" (apparently that's an actual thing?) with the goal of improving the quality of the sound you hear, then it is perfectly fair to call that AI.

AI doesn't necessarily or by definition have anything to do with cloud computing, machine learning, or predictive analysis.

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aliendepict t1_j46o8u8 wrote

I also do work in this field... AI is referred to when a computational device is being used to imitate or perform a human like interaction, or is facilitating something that typically would require human level intelligence.

This object was likely trained using ML algorithms which is where they get the "AI based" as ML is a subset of AI and refers to the training of such things. So in that way it is not incorrect. My gripe is that with how loosely the likes of Microsoft, Google, and Co have defined "AI" we will not be able to hold truly meaningful conversations about what AI is. The definition has lost value when everything from ChatGPT that facilitates true AI qualities and values, to my Samsung TV simply turning on because I walked into a room is being called AI, how do we delineate to the masses?

TLDR: I'm a grumpy codger that is tired of marketing dumbing down definitions to simply sell things, that have existed in some form or fashion for a decade and revitalizing it by slapping the term "ai" on it.

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barzamsr t1_j46xtrk wrote

The phrase "is referred to" is too vague for my taste. I'm all for descriptive language when it comes to the everyday, but for technical terms, I think definitions are what should matter.

With that said, AI is certainly not defined in terms of human intelligence. "Aeronautical engineering texts do not define the goal of their field as making machines that fly so exactly like pigeons that they can fool even other pigeons" (stuart russel).

Also, AI is not defined by corporations. It's defined by computer scientists. As for delineating to the masses, I think the answer to that is proper education.

Your TV turning on when you walk into a room IS AI. It's not a dumbed down definition, it's the definition widely agreed upon by computer scientists. Just because marketing is deplorable doesn't make it otherwise.

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j_dog99 t1_j4b62an wrote

It depends on what your definition of 'is' is

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croto8 t1_j4a61v2 wrote

Path finding algorithms were some of the first research in AI. You’re confusing AI with AGI, and there is correct terminology in the field to differentiate robustness of different models. Source: I actually work in the field.

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xiaopewpew t1_j4a0pzu wrote

I dunno what is the origin of the trend of people cosplaying programmers and talk about shit they have no clue about. You sound like the guy Google fired for falling in love with a natural language model, except you dont know what a natural language model is.

Now substitute that with AI and ML

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Thathappenedearlier t1_j4a49ej wrote

Beamforming has existed for a long time, do a speed test while walking around with your laptop then stop moving halfway through, your wifi speed will increase slowly as your router hones in on your device and finds the fastest way to bounce the signal to your device

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shyouko t1_j4afmh5 wrote

Make sure the test is long enough that the effect is from beam-forming and not from TCP window scaling.

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Sirisian t1_j48f8pa wrote

If they used a binaural audio dummy setup and compared against a ground truth surround sound system it's possible this is machine learning technique to configure the setup. Sound propagation especially with specific speaker configurations (and ear positions) is hard to model. (Could use a non-machine learning approach to match the sound in the ground truth and construct a table of speaker configurations).

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shyouko t1_j4afnki wrote

I bet this is not how they did it tho.

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flufylobster1 t1_j49v8e8 wrote

So AI is being used correctly here.

AI is just a field in computer science.

It doesn't matter if it is or is not intelligent, it just needs to seem intelligent.

Knowledge based artificial intelligence, uses rules & algorithms to deterministically be smart, no learning required.

Machine learning on the other hand is a subset of AI & needs actual data to learn & be trained on how to respond to certain things , make predictions on new unseen things.

Both AI & ML have been around for a long time. Just recently there has been a lot of hype around AI.

The system could easily have both.

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engineerfieldmouse t1_j48gpbz wrote

Everything that flys is a drone too

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ryocoon t1_j4cnt1w wrote

Well not everything that flies. (Lets not get into the 'Birds aren't Real' conspiracy). Your average pigeon isn't a drone, nor is a parrot. However, those are biological things. So they have something piloting them (ah the joys of meatsuits). While some flying insects are classified as drones (see worker bees as example), we still think of them as insects/bugs. However, a non-biological that does fly and does not have a pilot residing in it? Effectively a drone.
Yes we have ancient RC helicopters and model airplanes. They are essentially referred to as drones now. Even more so if they transmit back telemetry or visual data and take remote commands. In this way, it is being corrupted by marketing, but it is very much what the language has vernacularly evolved to.

If you want to get technical, then by all means, whip out the documentation and point to the definition.

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HibeePin t1_j4ac8qo wrote

So do you not think chatgpt is AI? It's also just a pre programmed/trained algorithm that isn't learning from how people use it. Once training is done, using the model needs much less computation. Or do you just think head tracking is not complex enough to be "AI"?

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ug_unb t1_j4gqlkf wrote

What? AI doesn’t mean something is being continuously trained, once you have a model you can run inference on it which is much lighter on resources (especially specialized hardware) than training

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paperpatience t1_j5muv81 wrote

Yep. It's really annoying when society learns a new buzz word. Doesn't matter if they're incorrect. They'll use it anyways.

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