j_bum
Joined 3 years ago
Joined 3 years ago
Wonderful idea and execution. Thank you
> gate: failing
Gave me a good chuckle. Cool idea though, and I like the records. Reminds me a bit of the OpenAI hacking incidents.
I suffer from it quite badly. I can remember broad and important details, but struggle to remember even moderate details from anything beyond the past 2-3 months, with sharp falloff after that.
Once I started using Immich and was able to see my old photos from across adulthood and childhood (I used to just dump them onto HDDs), I experienced a sharp reconnection with myself and my past.
Maybe they could find something similar (Apple Photos, Google Photos, Immich, etc.)!
I’m sure it works.
But for me, it drove me to stop using Reddit on my phone.
This article also reads with many LLM-isms, so I can’t tell if a human actually produced it.
Nonetheless, this is disturbing.
I have a lot of CLAUDE.md rules to restrict this stuff, but realize the “encapsulation” language is something I’m missing.
I’ve used Qwen 3.6 27B for many things at work, and I’m regularly able use it for reasonably scoped tasks.
I’m not saying these models are perfect.
But you are complaining about people on the extreme, while at the same shouting from the opposite extreme.
However, this is very much a “build what you need” type of harness. You have to be willing to use other people’s extensions or build/vibe your own before the harness is useful.
Why I find pi better:
- multi-provider/inference API support out of the box
- greater visibility into token flow/usage
- minimal system prompt
- no hand holding/decisions made for you on what your agents can/cannot do
- extremely customizable
- stable, minimal bugs in the base harness that I’ve experienced
- minimal feature bloat
It’s a great harness for someone who wants extreme control and adaptability. I don’t recommend it to my peers and colleagues who aren’t into tinkering.