Current benchmarks have ceilings, usually 100%. This benchmark aims to be a long lasting, high correlation with the ability to solve real world problems and follow complex instructions, and unbounded (meaning it can always go higher).
His claims are indeed correct;
Yes, you got my point tks!;
AND the loop produced architecture gains that are not exclusive to the GoWin FPGA (CoreMark/Mhz is higher than VexRiscV)
Yeah, you are totally right. Its a work in progress, and the post was written by an LLM - Im trying to improve on it (dash pun intended).
Regarding the benchmark overfitting, absolutely, it's pretty much overfitted. This CPU will only be as good as it benchmark. If I have the time I will try to get some applications and optimize for those.
For sure! The hypothesis generation gotta be improved. Your take on the "least likely" is interesting. In the beginning of the repo I was having problems with "hypothesis convergence", your idea may be a nice way to introduce the much needed variability
Is slop verifiable? If so we can throw it in the loop... The point is that this loop can be pointed at any verifiable work. Yeah you are seeing it raw, the verifier is the principle you talked about. Yes it was fully AI generated, It will be refined
The frontier is the verifier not in the sense of this project, but to every project. If we have a good verifier for a task, any task, this type of loop can be applied to it. Today LLMs are good enough to tackle FPGA projects, but what this type of loop will be applicable to many more things
Board should be arriving next week. I will let you know!
Recently I've been noticing that claude "stalls" on a prompt and take minutes to finish, with no apparent work being done. Maybe they are rate limiting, even when you are well under the quotas.
The moment that not releasing a model becomes more financially beneficial than releasing it, that's when AI becomes truly dangerous.
Between doomerism and marketing, the release or rather lack of, Claude Mythos is the first model that really spooked me. Not because of its capabilities, but because of the gatekeeping.
Yes, Anthropic is playing the good guys here, but what if they aren't? What if they gatekeep the next model to Mythos for their own benefit? They would pull so far ahead of society and other software companies, would acquire so much power (through hacking) and money (through arbitrage and trading strategies in the financial markets), that the next model might be the final frontier. The AI 2027 vision doesn't look so distant after all.
Apple recently released https://github.com/apple/container, a CLI tool for running Linux containers natively on macOS with Apple Silicon. It's fast and lightweight, but it's terminal-only.
I built Container GUI — a native SwiftUI app that wraps the CLI and gives you a proper desktop interface for managing containers, images, volumes, networks, and more.
Features:
- Containers: list, inspect, start/stop/kill/delete, live log streaming
- Images: browse, inspect (config, platform, history), pull with streaming progress
- Volumes & Networks: full CRUD
- Builder & System: status, start/stop services, disk usage
Tech: Pure SwiftUI + AppKit (for the log viewer), MVVM with @Observable, Swift 6 strict concurrency, zero dependencies. Wraps the CLI via Foundation.Process.
Install: brew tap FeSens/tap && brew install container-gui