7 ms·
I disagree, actually. My evidence: https://ericpardee.github.io/fire-hd-ownership/blog-assets/glm53-rooted-verified.png https://ericpardee.github.io/fire-hd-ow
by jychang 24d ago
I disagree, actually.
My evidence: https://ericpardee.github.io/fire-hd-ownership/blog-assets/glm53-rooted-verified.png https://ericpardee.github.io/fire-hd-ownership/blog-assets/g...
"Worked for 8h 5m"
When agents are working for 8 hours, the prompt matters a lot less. At that point you're basically just writing "Root this tablet connected via USB cable" and the prompt doesn't really matter much.
Seriously, he really didn't prompt much.
Look at what he fed into ChatGPT: https://ericpardee.github.io/fire-hd-ownership/blog-assets/chatgpt-coherency-explanation.png https://ericpardee.github.io/fire-hd-ownership/blog-assets/c...
The only human-written part of the prompt was "Explain to me in more simple terms the following". The rest of the prompt came from asking Kimi K3 for a handoff summary.
- rimeice 24d agoSure but would the plumber know to ask “Root this tablet”
- cgearhart 24d agoAt least in the write up he talked about trying with 3 different models. He could look at the progress at each step and evaluate whether it was making progress or stuck. He was able to understand the partial and complete solutions. I think part of what it shows is how much a good value function provides in a search problem. But we’ve always known that brute force is also a valid solution to search problems. It seems that what’s changed is that it’s much easier than before to run brute force, so it’s going to be applied more often and by a base rate argument “solve” more problems. What remains to be seen is whether human + new tech = better than the parts, as has been the case with most previous new technologies.