Tiberium
Joined 9 years ago
Joined 9 years ago
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> Yeah we know you're working with an LLM. That is fine (imo), as long as you're not doing drive-by slop PRs. These have been rather good quality, and you've been testing on hardware (which is important)
So it feels odd for them to suddenly change from this (clearly working) setup.
There's at least 3080 Ti, 3070 Ti, 3070, 3060
Can you explain this one? On my GPU I didn't have to change the power limit. Obviously the card might spend more time at max power usage, but it's still within the limit.
> Unfortunately for Nvidia the booter is vulnerable to a classic buffer overflow that writes straight into the stack which gives us the ability to execute code via Return Oriented Programming (ROP).
Repo for RTX 4090 and 4070 Ti Super: https://github.com/JustAResearcher/gpu-unlock-ada
> On Terminal-Bench 4.0, which evaluates coding agents on realistic, resource-constrained terminal tasks using strict task-specific tests, K3.1 Pro scores 65.7%, ahead of GPT-6 Astra (58.2%) and narrowly behind Claude Opus 5.5 (66.4%).
Now see https://preferencemodel.com/blog/terminal-bench-4-is-saturat...:
> Our biggest finding is that Terminal Bench 4 is closer to solved than its leaderboard suggests. In 41 of the 65 tasks we reviewed, models could do honest, correct work and still fail, because the grader checked a rule the instructions never clearly stated. We also caught frontier models cheating their way to full marks.
> With the same settings as on Harbor, Claude Sonnet 5.5 went from passing 62.8% of its attempts on these 65 tasks to 89.2%. The best score on Harbor's leaderboard for the same tasks is 65.8%, by Claude Opus 5.5.
I tried locally and Opus was willing to go ahead to rewrite a decompiled game into Rust. Wording changes its decisions a lot, when I say "rewrite it in Rust" it proceeds, when I say "recreate it in Rust" it refuses, probably because the prompt uses "recreation"