I tried out ollama. It was trivially easy to set up.
Stable diffusion is a bit more work, but any power user should be able to figure it out.
I tried out ollama. It was trivially easy to set up.
Stable diffusion is a bit more work, but any power user should be able to figure it out.
It can potentially allow 1 worker to do the job of 10. For 9 of those workers, they have been replaced. I don’t think they will care that much for the nuance that they technically weren’t replaced by AI, but by 1 co-worker who is using AI to be more efficient.
That doesn’t necessarily mean that we won’t have enough jobs any more, because when in human history have we ever become more efficient and said “ok, good enough, let’s just coast now”? We will just increase the ambition and scope of what we will build, which will require more workers working more efficiently.
But that still really sucks because it’s not going to be the same exact jobs and it will require re-training. These disruptions are becoming more frequent in human history and it is exhausting.
We still need to spread these gains so we can all do less and also help those whose lives have been disrupted. Unfortunately that doesn’t come for free. When workers got the 40 hour work week it was taken by force.
Ironic when they’re posting on an anonymous platform
I think the problem with the term AI is that everyone has a different definition for it. We also called fancy state machines in video games AI too. The bar for AI has never been high in the past. Let’s just call autonomous algorithms AI, the current generation of AI ML, and a future thinking AI AGI.
I’m anti mega corporations with consolidated power and platform monopolies. I’m not anti small distributed devs getting paid for high quality hard work.
Breaking news! Chinese company runs ads paid for by Chinese government! Did anyone think otherwise? All governments pay for ads. Who in their right mind would think a Chinese company would refuse their government as an ad customer?
Do you know what pattern matching is great for? Finding commonly cited patterns in long debug log messages. LLMs are great for brainstorming problem solving. They’re basically word granularity search engines, so they’re great for looking things up are more niche knowledge that document search engines fail on. If the thing you’re trying to look up doesn’t exist, it will make shit up so you need to cross reference everything, but it’s still incredibly helpful. Pattern matching is also great for boilerplate. I use the codium extension and it comes up with auto complete suggestions that don’t have much logic, but save a good amount of key strokes.
I didn’t think the foundational tech of LLMs are going to get substantially better, but we will develop programming patterns that make them more robust and reliable.