I think The Lorax comparison is warranted for LLMs, hyping the race for AGI, and AI as marketing/branding, but the AI umbrella includes a lot of Machine Learning that’s just practical, applied statistics.
A lot of ML applications aren’t anymore resource intensive then using Lemmy. So I think the discussion about harms v. benefits of ai-- beyond hypers and doomers-- often diverges from conflating “AI” with these AI companies that are all-in on LLMs vs AI as a field that contains an over-hyped, over-invested, resource-intensive, subcategory bubble that needs to pop already as well as subcategories that make it easy and efficient to classify and cluster data.
I agree, I think the conflation of machine learning, which has existed and benefited us for decades, with “AI” is an unfortunately effective marketing strategy. In fact most of the “benefits of AI” being discussed above are just classic machine learning applications being rebranded as AI purely for the sake of allowing the media to have headlines like “AI cures cancer!”
Right like in this metaphor we’re now lumping scarves in with jackets (classic style, normal manufacturing and impact on the environment) and saying that jackets are good so we should be careful when addressing the field of clothing as a whole. I think the critical thing to understand is that clothing is not under the scarf umbrella, it’s the other way around. It’s not a condemnation of pants to oppose the scarf industry, regardless of how desperately the scarf industry wants to inherit the legacy of pants
I think The Lorax comparison is warranted for LLMs, hyping the race for AGI, and AI as marketing/branding, but the AI umbrella includes a lot of Machine Learning that’s just practical, applied statistics.
A lot of ML applications aren’t anymore resource intensive then using Lemmy. So I think the discussion about harms v. benefits of ai-- beyond hypers and doomers-- often diverges from conflating “AI” with these AI companies that are all-in on LLMs vs AI as a field that contains an over-hyped, over-invested, resource-intensive, subcategory bubble that needs to pop already as well as subcategories that make it easy and efficient to classify and cluster data.
I agree, I think the conflation of machine learning, which has existed and benefited us for decades, with “AI” is an unfortunately effective marketing strategy. In fact most of the “benefits of AI” being discussed above are just classic machine learning applications being rebranded as AI purely for the sake of allowing the media to have headlines like “AI cures cancer!”
Right like in this metaphor we’re now lumping scarves in with jackets (classic style, normal manufacturing and impact on the environment) and saying that jackets are good so we should be careful when addressing the field of clothing as a whole. I think the critical thing to understand is that clothing is not under the scarf umbrella, it’s the other way around. It’s not a condemnation of pants to oppose the scarf industry, regardless of how desperately the scarf industry wants to inherit the legacy of pants