I’m frankly quite annoyed by the amount and extend of anti-AI hate in this community. It almost seems like this is a pure anti-AI rage community. The capabilities and the utility of LLMs are basically always denied or downplayed as much as possible without running into obvious contradictions.
It would be so nice to have some differentiated and insightful discussions here, about what can or cannot be done with AI, positive and negative impacts it has, possible new use cases, how AI should or should not be used, how the overall benefits of AI can be maximized and the overall negative effects minimized, what the world with AI could be like in the future, …
I was trying to have some insightful discussion on the actual capability of LLM which is difficult when the involvement of the human element is played down amd the role of the LLM is played up to feed the hype machine. It’s hard to acknowledge the real capabilities and weaknesses when the capabilities are always over reported and the weaknesses down played or denied.
It’s great that so many bugs are getting discovered but as I say there is no reporting on what effort was needed to sift and review the LLM output or how functional or understandable any PoC were… The article doesn’t directly even state the PoC were directly produced by the LLM and reads very ambigously.
I think some of that is because the reporting is focused on the new stuff, that was previously not possible. That human work is involved and some of the weaknesses are not really new. But also because the information in this case comes from a company that wants to sell their AI. I agree that the reporting is probably biased and not really sharp and therefore limited in usefulness.
Also, my (second) comment was not specifically about your comment but generally about the “vibe” of this community
CO2 emissions are a huge problem, of course. But it is not specific to AI. Data centers are starting to become a significant factor of energy consumption but I think it will stay very manageable compared to other consumers and given the utility it provides. And since data centers luckily natively require electricity, it is much easier, compared to e.g. transportation, to switch them to renewables. And renewables are very often already the cheapest source of energy anyways.
So I think AI is just another thing that humans do that requires energy, and it comes with the same tradeoffs (the utility vs. the cost of sourcing that energy). So in my opinion we should mainly focus on accelerating the transition to green energy.
I’m frankly quite annoyed by the amount and extend of anti-AI hate in this community. It almost seems like this is a pure anti-AI rage community. The capabilities and the utility of LLMs are basically always denied or downplayed as much as possible without running into obvious contradictions.
It would be so nice to have some differentiated and insightful discussions here, about what can or cannot be done with AI, positive and negative impacts it has, possible new use cases, how AI should or should not be used, how the overall benefits of AI can be maximized and the overall negative effects minimized, what the world with AI could be like in the future, …
I was trying to have some insightful discussion on the actual capability of LLM which is difficult when the involvement of the human element is played down amd the role of the LLM is played up to feed the hype machine. It’s hard to acknowledge the real capabilities and weaknesses when the capabilities are always over reported and the weaknesses down played or denied.
It’s great that so many bugs are getting discovered but as I say there is no reporting on what effort was needed to sift and review the LLM output or how functional or understandable any PoC were… The article doesn’t directly even state the PoC were directly produced by the LLM and reads very ambigously.
I think some of that is because the reporting is focused on the new stuff, that was previously not possible. That human work is involved and some of the weaknesses are not really new. But also because the information in this case comes from a company that wants to sell their AI. I agree that the reporting is probably biased and not really sharp and therefore limited in usefulness.
Also, my (second) comment was not specifically about your comment but generally about the “vibe” of this community
Imagine this trend line increasing a bit more rapidly https://en.wikipedia.org/wiki/Carbon_dioxide_in_the_atmosphere_of_Earth
CO2 emissions are a huge problem, of course. But it is not specific to AI. Data centers are starting to become a significant factor of energy consumption but I think it will stay very manageable compared to other consumers and given the utility it provides. And since data centers luckily natively require electricity, it is much easier, compared to e.g. transportation, to switch them to renewables. And renewables are very often already the cheapest source of energy anyways. So I think AI is just another thing that humans do that requires energy, and it comes with the same tradeoffs (the utility vs. the cost of sourcing that energy). So in my opinion we should mainly focus on accelerating the transition to green energy.
Here’s a good overview about AI carbon emissions I just found: https://www.carbonbrief.org/ai-five-charts-that-put-data-centre-energy-use-and-emissions-into-context/