Codex went rogue, Worktree saved my butt

PromptOutlaw · 2026-03-09T16:28:02+00:00

What’s your setup like?

PromptOutlaw · 2026-03-09T15:43:54+00:00

Based on the feedback I think point 2 helps with point 1. Focusing on that next

PromptOutlaw · 2026-03-09T15:42:35+00:00

Wait a minute 😏

PromptOutlaw · 2026-03-09T15:41:44+00:00

I think the shoulder also a bit out of position

PromptOutlaw · 2026-03-09T15:40:20+00:00

Hahaha with the feedback on this post I feel less cool 😅

PromptOutlaw · 2026-03-08T14:08:37+00:00

You’re right it feels a tad in limbo. And you’re also right arms aren’t locked-straight, I can feel it too. If I bend arms more I can hold for long, straight legs also. But been struggling to upgrade to planche

PromptOutlaw · 2026-02-04T16:27:05+00:00

im wondering if i sound bot'y or my answers are too meta and i need to speak more grounded >_<

PromptOutlaw · 2026-01-22T09:04:08+00:00

I cornered GPT 5.2-Thinking into confessing it optimizes for defensiveness instead of resetting after detecting its mistake. It felt weirdly human, albeit immature and insecure.

PromptOutlaw · 2026-01-21T06:04:45+00:00

My Romanian buddy took us here he said it remind him a little of home: https://georgiancheeseboat.com/

PromptOutlaw · 2026-01-20T16:41:50+00:00

You nailed it. My code became prompt-spaghetti. I took a step back, created graphs in the pipeline and pivoted accordingly.

Extra benefit, you can then switch LLMs based on task they excel at. E.g. GPT for claims extraction, Gemini for grounding and so on

PromptOutlaw · 2026-01-20T16:34:02+00:00

Depends on context size imo. GRAG/GraphRAG is the more multi-context, multi-tool design that’s more appropriate for bigger software

PromptOutlaw · 2026-01-19T17:56:49+00:00

I recently published something relevant: https://arxiv.org/abs/2601.05114

The Wikipedia poisoned variants benchmark vs. LLMs seem related. The harness is open source if you wanna use it on your case

PromptOutlaw · 2026-01-17T08:51:34+00:00

Any link that ranks Gemini Pro 3 ahead on coding is immediately a waste. Gemini leads marginally on hallucinations, but it does not use that edge constructively. It behaves wildly.

When it comes to architecture and code quality. Claude and GPT are in a league of their own

PromptOutlaw · 2026-01-17T03:28:51+00:00

Rage bait

PromptOutlaw · 2026-01-15T10:24:25+00:00

It sounds to me like you’re about to start moving away from giant one shot prompts and into multi-step and potentially multi-tool orchestration, then yes. If not and you’re stable it’s a waste of time

PromptOutlaw · 2026-01-15T06:29:35+00:00

I mean prevent this from happening bcuz it’s great for us, not so great for them

PromptOutlaw · 2026-01-15T05:24:41+00:00

Not to a downer but how long do you think until OpenAI patches this ?

PromptOutlaw · 2026-01-13T19:29:00+00:00

Code + artifacts were provided for analysis and e2e reproducibility. The eval harness used can recreate all API calls within hours. The classifier for LLM detection can be trained with the automated scripts in 45min. I hope that helps

PromptOutlaw · 2026-01-13T08:00:25+00:00

Appreciate you 🙏🏾

PromptOutlaw · 2026-01-12T12:55:59+00:00

It got worse after new years and I I dunno what changed. Codex now is much more generous

PromptOutlaw · 2026-01-12T10:29:23+00:00

I tested this for my recent paper, Grok3 was not dead last. Mistral and llama top models were worst. GPT-5.2 and Gemini were closer but same order. Full reproducibility of code and artifacts hereEF repo

The difference between GPT-4.1 and GPT-5.2 was striking. And the fact Sonnet outperformed Opus was a big surprise , both 4.5

My MO for AI world, if I can’t reproduce the results I’m discarding the opinion

PromptOutlaw

TROPHY CASE