| I feel like discussiong ai with people who hated the seat belt, enjoyed smoking inside, giving babies alcohol and doing operations on babies because they couldn't feel pain. So many more people have clear stances against AI but the energy consumption of bitcoin was seldomly a hotly debated topic. Lets be clear, technology advances. You can embrace it and learn it and use it, or you lose. For me most shocking thing is: I wouldn't have expected so many people getting AI wrong or not getting it at all. 20 Years of software engineering and i have never experienced a technology so weird and crazy and with such a fast progress than AI/ML/Neural Networks. Is it perfect? No. But if you would have asked ANYONE just a few years back "Hey i give you a 100 Million dollars, you will write some software however you like and I expect it to be able to solve any problem (an easy one for the start) but i will not tell you what it will be" we would have build something like IBM Watson and it would have just failed. but we have a breakthrough in neural networks progress. I can ask it in german, in english, in shitty english and shitty german. I can generate any picture i want, i can generate videos. This technology bridges computer and human. Its the FIRST TIME EVER I could build something like a Star Trek Computer. Just think this 5 or 20 years further and its clear that these models will be better, relevant better than today. You will (if still needed) be able to stand in a VR world and talk to a computer and it will understand you well enough and it will be able to generate what ever you want. Of course we still need to solve a lot more issues but honestly, before ChatGPT it felt like we solved software but it was not clear how it will continue. There was something missing. And the way we build out compute, can be a milestone for material science, pharma, biochemistry etc. "No AI" come on |
https://en.wikipedia.org/wiki/Environmental_impact_of_bitcoi...
Also were not building out compute in any meaningful way, theres only actually been a couple of fundamental advancements to how we understand NN on a fundamental level, whats really changed is theres now a few companies with enough resources to throw an ungodly amount of compute power at a clearly already plateauing line of tech. To the detriment to every other opportunity.