4 ms·
LLM Fight Club
- huxflux 2y agoWhich LLM does it use?
- deleted 2y ago[deleted]
- joshestroud 2y agoThis is fun :) I like it a lot! Good job :)
- timonoko 2y agoTIL. It understand languages, but debates only in Ænglish. Anyways. The eternal kwestion "Oliko Urho Kekkonen diktaattori?" produced better discussion I have seen in years.
- busssard 2y agoi managed to let it argue in german
- gregory109 2y ago[dead]
- advael 2y agoWeak debates but great spectacle I kind of wonder if systems of LLMs are going to become its own new entertainment medium
- unraveller 2y agoI wouldn't listen to a knowledge based podcast without an LLM at the ready and that makes it a rather different experience to the other kinds of podcasts available. I suspect the hosts will start to get wind of this and just glance a lot of surfaces and let the audience branch out as they want. Entertainment could just become a prompt example dive off point for the user to remix to their liking.
- advael 2y agoTo be frank this is the opposite of how you should use an LLM. It's not going to be useful for diving deep on stuff that needs factual accuracy. It will on the other hand be useful for giving you shallow overviews you can drill deeper into, maybe even by helping come up with good search terms, or sometimes interrogating your thought process
- unraveller 2y agoDeep diving or search would be tough to do in real time. Just rubber ducking while listening to economics and business type podcasts works great, accepting the limits of the tool and domain. It's no scholar in your pocket yet. Sometimes hosts/guests gloss over topics as they are trying to sell their book as the one way find out more. LLMs can enhance the conversation as if the host drilled in a little further on some sore point similar to if it were a popular post with lots of comments. Not that those will be free of LLM influence for much longer.
- advael 2y agoI mean I get that people are doing that but it mostly seems like a way to poison your information stream by multitasking in-depth recitation and thereby making yourself vulnerable to what I'd call "recall exploits", where people remember some wrong information and can't even remember where they heard it, possibly misattributing it to the podcast itself, kinda like old people do to themselves constantly by just casually having cable news on in the background. Even if you assume no malice, like you're self-hosting your own fine-tuned llama or whatever, lack of accuracy is enough for this to be a problem Like I'm aware that 80% of econ and business talk is gonna be BS anyway but turbocharging that effect seems unwise
- SushiHippie 2y agoReally digging that UI, what did you use for designing the frontend? And are LLM A and B different models or just different system prompts, where the system prompt for LLM B includes that it disagrees with the output of LLM A?
- SushiHippie 2y agoOkay after looking at it on my computer: - OpenGraph data somehow is for https://claros.so https://claros.so an "AI Shopper" - It uses nextjs and tailwindcss - The model says it is GPT-4, but you'll never know if that's true - LLM B seems to be instructed to 'argue against the topic'
- gregw2 2y ago“Iceberg is better than delta lake.” Fight! Plato or Hegel this is not. But it is kinda amusing. Seeing the fight club topics others asked would be an additionally fun and engaging feature. I asked some funny or interesting ones but would like to see others’…
- SushiHippie 2y ago> Seeing the fight club topics others asked would be an additionally fun and engaging feature I'll start, "Tabs vs Spaces" ;)
- advael 2y agoPlayed with this a little more and I think the assessment at the end is both the weak link in the UX and a very illustrative debugging tool, not only of LLM limitations, but oddly, the format of internet debate I've thrown about a hundred prompts at this, half of them phrased as neutral questions, the other half as statements comprising the position of one side of the debate. I notice that when doing the latter, LLM A always takes the position I state, and LLM B is always said to "win" the debate, and the form of this is usually the same: B claims that there's insufficient substantiating evidence for A's claim. Neither says much substantial about the topic of the prompt after the first exchange. Usually A's first paragraph will expand a little bit on the topic and B will mostly try to discredit the arguments made, then they'll repeat this three or four times while insulting each other's intelligence without bringing up anything new, expanding further on the topic, or notably, trying to use any examples aside from the ones initially discussed in the first reply. What's interesting about the "neutral question" style is that the debate tends to go about the same, but the assessment at the end only considers B to have won about 90% of the time As someone who studies AI and has gotten into a lot of internet arguments, this is a fascinating example of how LLMs are great at capturing the average case with essentially zero chance of capturing the best-case of the format, in terms of being informative on the topic at hand to a third-party observer