> This doesn’t require a huge data center or anything, it’s basic computer vision and a small on-vehicle model.
Yes, but it still has a strong ecological impact, and for what benefit? I only ever hear people complaining about electronics/assist in cars, and recalls due to electronic faults is about 50% of car recalls nowadays.
The problem is not that this compute is overall so much compute, it's that it's used to replace "no compute", and that in the ecological lifecycle of electronics production is the biggest problem (not sustained use). A modern car has hundreds of microcontrollers and probably as many sensors… Although some of these features are technically not machine learning, i think it's part of the same problem.
I wish we could have better/safer/cheaper cars over time, that can be more easily maintained. Instead we have shitter and more expensive cars that are less rapairable than ever before.
Well that’s what I’m saying - a basic machine learning system is no more ecological cost than an algorithm. Because it just is an algorithm.
Computerization of cars is orthogonal, it’s not an AI problem. Things like engine control for fuel efficiency isn’t AI, it’s just an algorithm. Cruise control is just an algorithm. The cost is the same as any other software.
Now LLMs DO have a new cost. You really require super computers to run LLMs at scale, that much is true. But that’s very distinct from machine learning, it’s a different beast.
Nobody is complaining about, like, monster AI in The Binding of Isaac and how much ecological impact it has. Because it doesn’t. Well… that’s AI, and 10 years ago that’s the only AI people really talked about. Now AI really means LLMs. The ecological impact is from LLMs.
Yes, but it still has a strong ecological impact, and for what benefit? I only ever hear people complaining about electronics/assist in cars, and recalls due to electronic faults is about 50% of car recalls nowadays.
The problem is not that this compute is overall so much compute, it's that it's used to replace "no compute", and that in the ecological lifecycle of electronics production is the biggest problem (not sustained use). A modern car has hundreds of microcontrollers and probably as many sensors… Although some of these features are technically not machine learning, i think it's part of the same problem.
I wish we could have better/safer/cheaper cars over time, that can be more easily maintained. Instead we have shitter and more expensive cars that are less rapairable than ever before.