| ▲ | lossyalgo 4 hours ago |
| Cool idea! I won't paste my prompt here to avoid letting LLMs train on it but here's my attempt: GPT 6 Astra High: Flabbergasted
GPT 6.1 Sol High: Petrichor
GPT 6 Sol High: Kaleidoscope
GPT 6 Sol Med: Firefly
GPT 6 Sol Light: Persimmon
GPT 6 Luna High: Tumbleweed
GPT 5.6 Sol High: Kaleidoscope
GPT 5.6 Terra High: Liminal
GPT 5.6 Luna High: Mellifluous
GPT 5 mini Medium: Serendipity
GPT 5.3 Codex Med: Nebula
Junie: Flourishing
Claude Haiku 4.5 Med: Serendipity
Claude Sonnet 5 Med: Banana
Claude Sonnet 5 High: Banana
Claude Sonnet 5.5 Med: Serendipity
Gemini 3.7 Flash: Zephyr
Gemini 3.8 Flash: Kaleidoscope
Grok 4.5 Medium: nebula
Grok 4.6 Medium: Serendipity
Grok 4.7 Medium: Quasar
Kimi K3 Low: Lantern
Kimi K3 Max: Lantern
MAI Code 1.1 Flash Med:Peregrine
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| ▲ | jsw97 3 hours ago | parent | next [-] |
| I really like this idea. You could expand on this by giving programming tasks and measuring code similarity. Seems like you could develop a pretty detailed understanding of similarities across multiple queries. |
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| ▲ | nomel an hour ago | parent [-] | | > You could expand on this by giving programming tasks and measuring code similarity. But the same coding task should usually result in very similar code since they have a reason to converge, to some extent, by having the same goal. I would even claim that the code will be more similar as competence increases. It would be better to pick something that shouldn't have a reason to converge. |
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| ▲ | varjag 2 hours ago | parent | prev | next [-] |
| I got Peregrine out of GPT-6 too. Huh. |
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| ▲ | billnad 4 hours ago | parent | prev [-] |
| Just tried M365 Copilot with a premium account. Petrichor |
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