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Well, that’s kind of shitty. I know those models can run up to five figures, and if those rules aren’t enforced uniformly across the board for everyone then it does just seem like they’re targeting a particular class of creator.
As a side note, I find it funny that the article refers to then as “AI models” when no AI is typically involved.
Same with people believing all vtubers are AI chatbots or, to a lesser extent, that all female vtubers are just men with voice changers.
Like a minute or two of looking up either on any search engine would clear things up. But hell if it does show how little the average internet user seems to know about AI or audio editing. A lot of people seem to think technology is just straight up magic.
It’s like how they slapped ‘Smart’ on every tech product in the past decade. Even devices that are dumb as fuck are called ‘Smart’ devices. Words entirely lost their meaning because of advertisers abusing trendy words.
Even ‘AI’ is being abused. I always thought of AI as artificial consciousness, an unnatural and created-by-humans self-aware and self-thinking being. Most of the AI products now are just search engines, image generators and apps being programmed to do something. In fact stuff like ChatGPT would’ve made more sense to actually be called ‘Smart’ search engines instea of ‘AI’. They might be technological achievements, but they’re not AI.
It’s like how they slapped ‘Smart’ on every tech product in the past decade. Even devices that are dumb as fuck are called ‘Smart’ devices.
I’m not a big fan of “Smart” as a marketing term, either, but “Automatable” doesn’t exactly roll off the tongue, and “Connected” doesn’t really have the same appeal. That said, “smart” was used pretty consistently to refer to devices that could be controlled as part of a “smart home.” It wasn’t supposed to refer to a device that itself was intelligent, though.
I always thought of AI as artificial consciousness, an unnatural and created-by-humans self-aware and self-thinking being.
Sounds like you’re thinking of AGI (artificial general intelligence) or that your understanding is based off sci fi as opposed to the academic discipline/field of research, which has been around since the 1950s.
And yes, marketing is often inaccurate… but almost every instance I’ve seen where they say they’re using AI, they were.
In fact stuff like ChatGPT would’ve made more sense to actually be called ‘Smart’ search engines instea of ‘AI’.
IMO “Smart” would be more misleading than “AI,” even if “Smart” didn’t have an existing, unrelated meaning. I do think we could use better words - AI is such a broad category that it doesn’t say much to call a product “AI-powered.” Stable Diffusion and Llama use completely different types of AI, for example. But people broadly recognize the term (even if they don’t understand it properly) and the same can’t be said for terms like “LLM.”
They might be technological achievements, but they’re not AI.
You’re illustrating the AI effect - “discounting of the behavior of an artificial-intelligence program as not “real” intelligence.” AI is used in a ton of different ways that you likely don’t ever think about or even notice.
I recommend reading over at least the introduction to the Artificial Intelligence article on Wikipedia before proclaiming that something that fits cleanly into the definition of AI isn’t AI.
The technical definition of AI in academic settings is any system that can perform a task with relatively decent performance and do so on its own.
The field of AI is absolutely massive and includes super basic algorithms like Dijsktra’s Algorithm for finding the shortest path in a graph or network, even though a 100% optimal solution is NP-Complete, and does not yet have a solution that is solveable in polynomial time. Instead, AI algorithms use programmed heuristics to approximate optimal solutions, but it’s entirely possible that the path generated is in fact not optimal, which is why your GPS doesn’t always give you the guaranteed shortest path.
To help distinguish fields of research, we use extra qualifiers to narrow focus such as “classical AI” and “symbolic AI”. Even “Machine Learning” is too ambiguous, as it was originally a statistical process to finds trends in data or “statistical AI”. Ever used excel to find a line of best fit for a graph? That’s “machine learning”.
Albeit, “statistical AI” does accurately encompass all the AI systems people commonly think about like “neural AI” and “generative AI”. But without getting into more specific qualifiers, “Deep Learning” and “Transformers” are probably the best way to narrow down what most people think of when they here AI today.
Well, that’s kind of shitty. I know those models can run up to five figures, and if those rules aren’t enforced uniformly across the board for everyone then it does just seem like they’re targeting a particular class of creator.
As a side note, I find it funny that the article refers to then as “AI models” when no AI is typically involved.
Same with people believing all vtubers are AI chatbots or, to a lesser extent, that all female vtubers are just men with voice changers.
Like a minute or two of looking up either on any search engine would clear things up. But hell if it does show how little the average internet user seems to know about AI or audio editing. A lot of people seem to think technology is just straight up magic.
Saying it’s AI even when it’s completely irrelevant makes it modern and cool though.
“AI” is the new “Space-Age”.
It’s like how they slapped ‘Smart’ on every tech product in the past decade. Even devices that are dumb as fuck are called ‘Smart’ devices. Words entirely lost their meaning because of advertisers abusing trendy words.
Even ‘AI’ is being abused. I always thought of AI as artificial consciousness, an unnatural and created-by-humans self-aware and self-thinking being. Most of the AI products now are just search engines, image generators and apps being programmed to do something. In fact stuff like ChatGPT would’ve made more sense to actually be called ‘Smart’ search engines instea of ‘AI’. They might be technological achievements, but they’re not AI.
When I was a teen, it was “e”-everything. E-mail, e-pets, e-bologna, e-games, e-surance, whatever. eBay is a relic of this era.
I’m not a big fan of “Smart” as a marketing term, either, but “Automatable” doesn’t exactly roll off the tongue, and “Connected” doesn’t really have the same appeal. That said, “smart” was used pretty consistently to refer to devices that could be controlled as part of a “smart home.” It wasn’t supposed to refer to a device that itself was intelligent, though.
Sounds like you’re thinking of AGI (artificial general intelligence) or that your understanding is based off sci fi as opposed to the academic discipline/field of research, which has been around since the 1950s.
And yes, marketing is often inaccurate… but almost every instance I’ve seen where they say they’re using AI, they were.
IMO “Smart” would be more misleading than “AI,” even if “Smart” didn’t have an existing, unrelated meaning. I do think we could use better words - AI is such a broad category that it doesn’t say much to call a product “AI-powered.” Stable Diffusion and Llama use completely different types of AI, for example. But people broadly recognize the term (even if they don’t understand it properly) and the same can’t be said for terms like “LLM.”
You’re illustrating the AI effect - “discounting of the behavior of an artificial-intelligence program as not “real” intelligence.” AI is used in a ton of different ways that you likely don’t ever think about or even notice.
I recommend reading over at least the introduction to the Artificial Intelligence article on Wikipedia before proclaiming that something that fits cleanly into the definition of AI isn’t AI.
The technical definition of AI in academic settings is any system that can perform a task with relatively decent performance and do so on its own.
The field of AI is absolutely massive and includes super basic algorithms like Dijsktra’s Algorithm for finding the shortest path in a graph or network, even though a 100% optimal solution is NP-Complete, and does not yet have a solution that is solveable in polynomial time. Instead, AI algorithms use programmed heuristics to approximate optimal solutions, but it’s entirely possible that the path generated is in fact not optimal, which is why your GPS doesn’t always give you the guaranteed shortest path.
To help distinguish fields of research, we use extra qualifiers to narrow focus such as “classical AI” and “symbolic AI”. Even “Machine Learning” is too ambiguous, as it was originally a statistical process to finds trends in data or “statistical AI”. Ever used excel to find a line of best fit for a graph? That’s “machine learning”.
Albeit, “statistical AI” does accurately encompass all the AI systems people commonly think about like “neural AI” and “generative AI”. But without getting into more specific qualifiers, “Deep Learning” and “Transformers” are probably the best way to narrow down what most people think of when they here AI today.
Sir this is a Wendy’s.