4 ms·
So this is the dogpile.com of the askjeeves, alta vista, and lycos approach? Time is a flat circle?
by dluan 4mo ago
So this is the dogpile.com of the askjeeves, alta vista, and lycos approach? Time is a flat circle?
- glasss 4mo agoGood ideas are usually still good across time and tools
- tiffanyh 4mo agoExactly High quality, fast & cheap (all 3 combined) - is a formula success. It’s just way easier said than done.
- Avicebron 4mo agoThere's a reason most pros will tell you pick two of the three.
- onlyrealcuzzo 4mo agoDogpile was only a good idea while Search Engines were mostly trash. You needed to search all of them to find something decent. That's roughly analogous to today. Ignoring cost, you'd be way better off asking all the LLMs to solve a problem (like coding) where you can verify the answer. So the question is, for things like that -> can a group of models perform better than frontier models, especially at a reasonable cost? Fable is not a great value, so unless you're trying to find answers to Erdos questions, you can probably do better on cost. You can probably typically ask 3 or 4 of the top Chinese models for an answer and get a response for the same Fable question... Given that Fable isn't that much better, it's not surprising you can do better for a large subset of problems.
- Terretta 4mo ago> Dogpile was only a good idea while Search Engines were mostly trash. Precisely.
- deleted 4mo ago[deleted]
- user_7832 4mo agoLLMs fail in such bizzare, obscure methods (to the average observer) at times. Sometimes even simple questions ("who was that x person who was super famous I'm thinking of") type questions fail terribly. The more vague and non committal and hand-wavey and subjective the field for AI to answer, the better the results (imo).
- rablackburn 4mo agoI daresay it's because the assistant training corpus is heavily biased towards one-shot solution answers. Because the correct response to that query is "I have no idea -- you will need to provide more information" and LLM Agents suck at that.
- ai-x 4mo agoThere is no reason a smarter model will not build an internal smarter/efficient router itself
- joe_the_user 4mo agoDogpile was only a good idea while Search Engines were mostly trash. Well, search engines are trash again. Perhaps it should come back
- onlyrealcuzzo 4mo ago> Well, search engines are trash again. That's mostly because the ability to make money on the web made the web trash. When you couldn't monetize your websites, everyone's websites were passion projects. Now everyone is trying to figure out how they can make $8M a year off yet another recipe website.
- alizaki 4mo agoIndeed. What a deep cut
- cdelsolar 4mo agotimecube?
- ignoramous 4mo agoMixture of Models, perhaps? tbf to OP, the setup they're proposing has also been recently evangelized by other "ai gateway" products (like OpenRouter, JusCode, Fireworks etc), so there's likely something useful here.
- fmajid 4mo agoEnsemble Methods: https://en.wikipedia.org/wiki/Ensemble_learning https://en.wikipedia.org/wiki/Ensemble_learning
- johnvanommen 4mo agoThis sounds like networking. Did OP invent an “intelligence router?”
- ljlolel 4mo agoensemble models always did the best at Kaggle we did the same: https://trustedrouter.com/blog/prometheus-2-new-draco-state-of-the-art https://trustedrouter.com/blog/prometheus-2-new-draco-state-...
- ignoramous 4mo agoYou need update your blog posts. Our whole stack is radically open source — frontend and backend alike, Apache-2.0 licensed — and so is everything behind this benchmark. That is how a benchmark number earns trust: verifiability, not hype. The repos have since been moved to BUSL-1.1: https://github.com/Lore-Hex/quill-router/commit/8155ac666ae014f687ec7ad2ce1c6cf9f68a2ae3 https://github.com/Lore-Hex/quill-router/commit/8155ac666ae0...
- ljlolel 4mo agoeverything has been updated
- moralestapia 4mo agometacrawler.com
- gchamonlive 4mo agoWell, you can try to make triangular wheels, but they are round for a reason
- hahahaa 4mo agoThis is the don't use the same EC2 size for everything on your service approach.