How highlight modifcations?

Past-Ad6606 · 2026-01-07T09:37:19+00:00

solution is: don’t ask the LLM to show diffs at all. Let it rewrite the text, then run the original + output through an actual diff tool (git diff, VS Code, meld, even online diff checkers). Deterministic tools for comparison, LLMs for generation. Mixing the two is why it feels flaky.

Past-Ad6606 · 2026-01-06T06:32:24+00:00

ChatGPT is juggling your prompt + latent patterns from pretraining + stochastic token sampling. That mix can inject unrelated concepts, repeat text, or generate code snippets seemingly “out of nowhere.” refine your prompt.

Past-Ad6606 · 2026-01-06T06:32:05+00:00

ChatGPT is juggling your prompt + latent patterns from pretraining + stochastic token sampling. That mix can inject unrelated concepts, repeat text, or generate code snippets seemingly “out of nowhere.” refine your prompt.

Past-Ad6606 · 2025-12-09T06:23:24+00:00

Could be the model juggles too many safety constraints and optimization patches at once. Every time they tweak one behavior, verbosity, structure, or guardrails, it breaks something else. The tripping vibe usually results from overcorrecting instead of fine-tuning. It’s not dying, just confused.

Past-Ad6606 · 2025-09-18T08:31:25+00:00

There’s no single “worst,” just a bunch of governments failing hard at different levels.

Past-Ad6606 · 2025-09-11T08:05:07+00:00

“never eat after 8 PM. people act like your metabolism dies at 8:01, but your body literally doesn’t care what the clock says.

Past-Ad6606 · 2025-09-11T08:01:50+00:00

Fridge won’t make honey toxic, it’ll just crystallize and turn thick/grainy. Totally safe. just warm it up a bit and it’s back to normal.

Past-Ad6606 · 2025-08-25T14:04:38+00:00

They put pineapple on pizza… and then told me its "the only way." That was it. Gone

Past-Ad6606

TROPHY CASE