HN user
You would be surprised at how much of an impact the harness has. I switched to Pi and chinese open source models, and models that _I know_ are less capable than sonnet outperform my sonnet + claude code stack at work.
but I can't see 512GB RAM in a MacBook Pro any time soon
Could totally see this being a comment from a forum in like 1994 but swap out GB for MB and MacBook Pro to whatever the popular consumer pc was at the time
Servers must ... make DB calls to verify the user is still active
I'm not being facetious, genuinely asking - is this a big deal? Should be a pretty cheap query, and with pooled connections, hardly any overhead.
Pi is an agent, gpt and sonnet are LLMs. Opencode is an agent, and has a drastically different philosophy than Pi.
FWIW, I took the dive on Pi today and I’m really happy with my decision so far
I'm considering this right now. Is it very difficult to adapt to the new philosophy? Are you running mostly interactive or programmatic?
“This page is suspiciously repetitive. Let me check another source”
I sent this to someone I know knowledgeable about this type of thing, here’s what he had to say, sharing because I thought it was interesting:
Pretty cool tech, silicon is very advanced. That said, this is how every wafer comes out of the fab. This process does not dice out individual chips but instead adds interonnects. I doubt they have 100% yield, but probably just don't connect that die. This type of setup is one of the reasons Apple's M series chips are so effective. Their CPU/GPU/RAM are all on one die/directly interconnected instead of going through some motherboard based connector. I think Apple doesn't have them all go through the same process so those are connected via a different process but same layed on silicon direct connection. This solves the problem data centers tend to have of tons of latency for the connections between processors. This is also similar to AMD's infinity fabric of their Zen architecture. It's cool how all of these technologies build from another.
It's also all reliant on fab from TSMC who did the heavy lifting is making the process a reality