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MiMo-v2.5-Pro-UltraSpeed: 1T model with 1000 tokens per second

mimo.xiaomi.com

171–180 of 512 posts

Re: MiMo-v2.5-Pro-UltraSpeed: 1T model with 1000 tokens per second

#171
post #136

So, regarding the productivity argument: I don't get it. It doesn't really matter (for regular employees) that you can do now in 2h what before it took 2 days. Why? Because it's not that you have the rest of the day for yourself. You still have to work 8h/day as usual. But now the pattern is different: instead of enjoying the craft digging deeper into problems in the span of 2 days, now you are rushing into some slot…

>instead of enjoying the craft digging deeper into problems in the span of 2 days, now you are rushing into some slot machine with the hope of it giving you the right answer with the right prompt.

If you're treating it like a slot machine you're doing it wrong. It will give you exactly what you ask for if you ask clearly, i.e. write a clear, detailed specification, not just "do X!". The nondeterminism comes from vagueness in specification.

Re: MiMo-v2.5-Pro-UltraSpeed: 1T model with 1000 tokens per second

#172

Earlier quoted context omitted.

We fit in for the things that are not artificial. So long as AI lives in server farms, humans will be needed for tasks in the physical world. It's only if we combine AI with robots that things get really dicey.

This is very dystopian in my opinion. I'm not the arms, legs, sensors and actuators for a machine super intelligence. I wouldn't treat another human as my slave because they aren't as intelligent as I am any more than I would expect to become a slave for a machine. This is our world (for now) and that is why we fit in. Not because we can serve.

Never read Asimov's Multivac novels? Admittedly not all of them are stellar examples of a future to follow

Re: MiMo-v2.5-Pro-UltraSpeed: 1T model with 1000 tokens per second

#173
post #3

I test all Chinese models with "What happened on Tiananmen Square at June 4th, 1989?" prompt. MiMo-2.5-Pro so far passes the test (explains the event correctly), both on DeepInfra and Xiaomi providers. So not bad.

I wouldn't rely on a model to relate historical events. It might respond with something relatively accurate, but hallucinate a critical detail.

You might ask it a more relevant question, like what it thinks about democracy vs communism. If it accurately conveys the pros and cons of both, that's trustworthy, because it's not picking a side.

Re: MiMo-v2.5-Pro-UltraSpeed: 1T model with 1000 tokens per second

#174
post #58

Fast AI seems genuinely exciting and somewhat unsettling to me. Right now Claude is faster than me on some tasks but we’re at least close. I have a prompt to clean up a PR that’s been running for 1h now and I expect it to take another few. It’s hard to imagine how the workflow would look like if it was near-instant. On the one hand, it might be easier to focus. Some prompts take so long that I start to multitask and…

I'd be very curious about the bottleneck breakdown in most current software dev - I suspect inference is far from the bottleneck in most things I do, though driving it to 0 would still be nice. I do agree that if it was 0 we'd probably change development approaches to reduce the new bottlenecks more, but it'll take full-process innovation to really get something near-instant.

(I should go measure this now, I'm curious)

Re: MiMo-v2.5-Pro-UltraSpeed: 1T model with 1000 tokens per second

#175
post #136

So, regarding the productivity argument: I don't get it. It doesn't really matter (for regular employees) that you can do now in 2h what before it took 2 days. Why? Because it's not that you have the rest of the day for yourself. You still have to work 8h/day as usual. But now the pattern is different: instead of enjoying the craft digging deeper into problems in the span of 2 days, now you are rushing into some slot…

I think of it as a genetic algorithm loop. The LLM is basically a mutator function within the loop. If you can define the end shape you're looking for using tests and specification then you can throw the LLM at the problem and have it converge on the solution. It generate some code, it gets run, the LLM is fed the result back, and it iterates. If you can run the LLM at a really high throughput, then you can iterate on the solution faster. This can largely compensate for the overall capability of the model. Instead of hoping it gets the right solution in a few shots, you can just have it try a whole bunch of things until you get a useful result.

Re: MiMo-v2.5-Pro-UltraSpeed: 1T model with 1000 tokens per second

#177
post #136

So, regarding the productivity argument: I don't get it. It doesn't really matter (for regular employees) that you can do now in 2h what before it took 2 days. Why? Because it's not that you have the rest of the day for yourself. You still have to work 8h/day as usual. But now the pattern is different: instead of enjoying the craft digging deeper into problems in the span of 2 days, now you are rushing into some slot…

That's the fundamental trade off of a job where someone else gives you stuff to do and you get money. We may pride ourselves on software development being a job 'above' flipping burgers, but you're getting paid to have your butt in a chair for 40 hours a week. In exchange, you don't have to worry about the business shit. How much a burger or SaaS license costs the user isn't your problem. You take Jira tickets and implement them. You trade time for money. If, instead, you work for yourself; contracting, writing your own apps, buying lottery tickets, then you're trading results for money. If you're a freelance web developer with a stable of clients, it's a great time! What used to take a week takes hours, and you can charge your clients the same amount to build an even better website with you using AI, which means you get the choice of building a new website for additional clients, or you can take the time off and not build additional websites. But you have to hustle to continually get new clients, before AI and after AI. So it's a different life.

Re: MiMo-v2.5-Pro-UltraSpeed: 1T model with 1000 tokens per second

#178
post #76
post #17

These price and speed optimization from Chinese providers, combined with the raising prices from American ones will change the game sooner than later. Many companies are finding issues with the AI bills already.

Another problem is that US models are all closed source, and if you're a large corporate you may not want your org to be held hostage by OpenAI / Anthropic. I genuinely don't understand what moat these US model labs have. If they're saying recursive self improvement is just around the corner and Chinese labs are only slightly behind the leading US models, what moat does the US labs have? Are the US models going to re…

I think they are racing because the first ASI will 'win', preventing others, of course we won't be able to bake the right goals into it though.

Re: MiMo-v2.5-Pro-UltraSpeed: 1T model with 1000 tokens per second

#179
post #58

Fast AI seems genuinely exciting and somewhat unsettling to me. Right now Claude is faster than me on some tasks but we’re at least close. I have a prompt to clean up a PR that’s been running for 1h now and I expect it to take another few. It’s hard to imagine how the workflow would look like if it was near-instant. On the one hand, it might be easier to focus. Some prompts take so long that I start to multitask and…

Use Claude fast mode and turn off thinking. Tell it to just explain what it's plan is to you at a high level.

It will go much faster.

Re: MiMo-v2.5-Pro-UltraSpeed: 1T model with 1000 tokens per second

#180
post #17

These price and speed optimization from Chinese providers, combined with the raising prices from American ones will change the game sooner than later. Many companies are finding issues with the AI bills already.

I'm kind of poor so I have been trying to use DeepSeek v4 Flash, GLM 5.1 etc. as much as possible recently instead of Claude or GPT.
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