| ▲ | npc99 a day ago |
| Inception Mercury 3 and Particle-1's model are also good. (I am assuming Inception is an American company, not sure TBH) |
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| ▲ | ray__ a day ago | parent | next [-] |
| Agree, Mercury 3 is one of my favorite models right now...the speed is such a quality of life improvement. |
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| ▲ | Bluestein 20 hours ago | parent | prev | next [-] |
| May I add Poolside (Laguna S) to this? Used them extensively during their free trial (sadly now apparently over).- |
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| ▲ | johnshahbazian a day ago | parent | prev | next [-] |
| For my own purposes, I found Mercury Decide to be excellent. Better than Jev at what I threw at it. Inception did a really great job with it. |
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| ▲ | flipbrad a day ago | parent [-] | | Thanks for your review, 15 day old HN account that likes praising Mercury services. | | |
| ▲ | johnshahbazian 9 hours ago | parent | next [-] | | I'm not affiliated with them at all. yeah I like them, and yeah I like to compare decision models at the moment. Don't believe me? Google my name. | |
| ▲ | 9 hours ago | parent | prev [-] | | [deleted] |
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| ▲ | martincsweiss a day ago | parent | prev | next [-] |
| Really? I'm surprised. What do you use it for? My read on Diffusion LLMs has been that it's cool tech, but only useful for things like like code autocomplete or editing a block of text. They don't beat autoregressive models on quality per compute, assuming you are serving lots of users and can batch requests. |
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| ▲ | npc99 15 hours ago | parent | next [-] | | I just use it for normal coding stuff. It's not as good as the current frontier, to be fair. I don't use it to help me think through architecture, for example. But I have found to work well for at least like half of coding tasks once architecture and patterns are in place. Its advantage is that it's very very fast. | |
| ▲ | serf a day ago | parent | prev [-] | | MoA schemes that use proposers/task-separation/supervisory roles can still benefit from very fast diffusion models like mercury, the overall speed doesn't have to be bottle-necked by the slowest model -- that depends on the arrangement it's deployed in. but to your point , yeah diffusion models can be kind of brain dead without proper coaxing. my ideal arrangement is a smarter/bigger model supervising lots of proposals from diffusion models. The diffusion models spit out a big proposal each, the bigger model can vet something as minor as the headline or filename for each proposal, time still ends up being saved. |
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| ▲ | freakynit a day ago | parent | prev [-] |
| Sorry to put it bluntly, but, Mercury is sh*t in comparison. And I have genuinely tried a few times to use it since the speed is so good. But nop.. it just isn't there. |