This is the way

Not that tbjs necessarily helps you but the battery in switch pro contolers was really easy to replace, spent like 5$ getting new ones from Ali express. Maybe try looking it up?

Exactly this. My experience with our companies wrapper on Claude lines up with OP, not this comment thread.

Everyone seems to forget everything you write is a liability. You can’t have bugs in code that is never written or generated, comments that don’t exist never become inaccurate, not duplicating “knowledge” into a repo doesnt have a risk of not aligning with business goals long term as they change.

From what I’ve seen, people claiming a “10x increase” did not have a strong foundation to begin with and/or did not utilize tools like IDEs effectively. No offense to thread OP, which seems itself a generated response, but in the time he has done all of that a strong engineer would be long done. Everything listed should be done before ever getting into code along with business and product partners.

NP, I figured it out by looking through the logs, I think you can turn them on in the settings

You have to find the right plugin version. The ones on the website use different versions than the one installed by ujust. I can’t remember where I found them but it was a github repo

We do already know about model collapse though, genai is essentially eating its own training data. And we do know that you need a TON of data to do even one thing well. Even then it only does well on things strongly matching training data.

Most people throwing around the word agents have no idea what they mean vs what the people building and promoting them mean. Agents have been around for decades, but what most are building is just using genai for natural language processing to call scripted python flows. The only way to make them look coherent reliably is to remove as much responsibility from the llm as possible. Multi agent systems are just compounding the errors. The current best practice for building agents is “don’t use a llm, if you do don’t build multiple”. We will never get beyond the current techniques essentially being seeded random generators, because that’s what they are intended to be.

It seems like you are implying that models will follow Moore’s law, but as someone working on “agents” I don’t see that happening. There is a limitation with how much can be encoded and still produce things that look like coherent responses. Where we would get reliable exponential amounts of training data is another issue. We may get “ai” but it isn’t going to be based on llms