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And yet, generative AI also seems to be poor at randomness. When I ask Google Gemini for a list of 50 random words, it gave me a list of 18 unique words, with 1
by hx2a 2y ago
And yet, generative AI also seems to be poor at randomness. When I ask Google Gemini for a list of 50 random words, it gave me a list of 18 unique words, with 16 of them repeated exactly 3 times.
Abyss: 1
Ambiguous: 3
Cacophony: 3
Crescendo: 3
Ephemeral: 3
Ethereal: 3
Euphoria: 3
Labyrinth: 3
Maverick: 3
Melancholy: 3
Mellifluous: 3
Nostalgia: 3
Oblivion: 3
Paradox: 3
Quixotic: 1
Serendipity: 3
Sublime: 3
Zenith: 3
- MattGaiser 2y agoAre you using regular or pro? As pro has no issues with this task.
- hx2a 2y agoRegular user. For useful tasks, how much of a difference does the Pro plan make?
- MattGaiser 2y agoNowhere near as good as ChatGPT 4o or Claude (in not one case have I had it outperform those other two), but at least it can do math and data science correctly most of the time compared to the regular model. I use it as a secondary when the other two are chewing on other tasks already. I only own it as I am an outrageously heavy consumer of LLMs for all sorts of little projects at once and they all seem to pause one window if you use another.
- simonw 2y agoRandomness is difficult. I wouldn't expect any LLM to be able to reliably produce random anything, except in the cases where they have access to tools (ChatGPT Code Interpreter could use Python's random.random() for example).