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

mimo.xiaomi.com

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

#91
post #56
post #16

I may sound like a shill, but exponential growth and all. We are going to get near instant software from prompt, multiple ones and then choose the best one. Discussions about choosing a library with the best syntactic sugar method naming is just as crazy as suggesting we type in assembly.

You won't. Because 80% of the complexity is just "knowing what to build". You will get something that gives you a prototype in 1 min, then you break it, then you get a slightly better prototype one one side, but newly broken in another way, and you're going to repeat over and over.

And for any non-trivial application, the space of possibilities grows so quick that you'll never even be able to _touch_ all the moving parts of the application and verify them.

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

#92
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'm using Deepseek-v4-pro as my main model and this is sometimes pretty annoying, I have to do some easy boring task, think "I'll just leave the agent to do it and go take a nap", but it's already done writing the code before I even walk away from the computer

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

#93
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…

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.

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

#94
post #44
post #16

I may sound like a shill, but exponential growth and all. We are going to get near instant software from prompt, multiple ones and then choose the best one. Discussions about choosing a library with the best syntactic sugar method naming is just as crazy as suggesting we type in assembly.

Sounds like exponential growth of crappy software. I'm not saying that before we didn't have mass produced crap in SE, but now it will turn into explosive overflow.

I am more and more inclined into not believing this crappy software theory.

Especially as teams invest in proper agentic harnessing.

We have had a champion in our team that has invested a lot of time into it over the last 4 months, and if anything, quality has improved, not decreased. Architecture is more coherent, codebase has been cleaned up, agents find information quickly, code produced is very solid and my role is more and more checking that the output meets the requirements. But I cannot confidently say that I would've done a better job than AI more often than not I have to admit it does a better job than mine.

The mistakes are less and less technical and merely in the domain mapping. And AI is still not creative as I am for finding solutions quickly to unlock stakeholders' issues. Also, AI is still not creative as I am for finding the proper solutions for advanced technical problems. But it does a better job than me, even on that front, one shotting few solutions in a fraction of a time it would've taken me to test one idea myself.

Mind you, I don't like AI and I think it ruined the job, I don't like working this way, it's exhausting, way more work on one side, way less fun and fiddling with technical parts.

And yet, I have the genuine belief that few years from now we'll be cloning open source repositories that are already optimized/harnessed and tested for agentic loops and best practices left and right with software engineers mostly overseeing the domain translation and putting their 2 cents on the non-boilerplatey parts of the product (which, in general, are a small part of the surface).

I think that the next years of my career will be mostly spent in setting up and writing the harnessing and domain mapping part. Then I will move to another sector, not because I necessarily believe I won't have a job, but because I want to vomit thinking that's going to be my job.

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

#95
MiMo V2.5 Pro (regular speed) remains the strongest open weights agentic coding model we've tested -- it's been interesting to see how little attention it has received relative to some lower performing releases. And the "fast mode" pricing is very competitive here.

Data at https://gertlabs.com/rankings

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

#96
post #15

Earlier quoted context omitted.

No idea why you've been downvoted. This is excellent news.

Because this never gets brought up about US models, which have just as much censorship as the Chinese ones.

Please educate us - which accurate and provable events in history are censored by US based LLMs as part of a government enforced reeducation campaign?

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

#97
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…

Woah - what’s the prompt and what’s the PR?

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

#98
post #68
post #44

Earlier quoted context omitted.

Sounds like exponential growth of crappy software. I'm not saying that before we didn't have mass produced crap in SE, but now it will turn into explosive overflow.

We are living in a ZIRP-like era where builders at the fastest pace layer have misattributed their velocity to exponential gains in model capability. In fact, they are surfing on decades of careful effort to build a robust foundation of highly reusable software libraries. This strategy will seem to work really well until the economy that enabled that foundation to form is hollowed out. Then, there will be a reckoning…

It's not just software libraries. Specs, applications (the browser!), expectations, device integrations, operating systems, etc. So much that starting from scratch seems impossible.

I'm not agreeing or disagreeing with you, but my brain cannot comprehend how machines can advance such interconnected systems while keeping humans in focus.

Perhaps I shouldn't have watched the Animatrix again.

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

#99

I don't understand, given all they say, why this would not be made available to everyone at once? Why the limited release? They should have no trouble scaling it if it runs on a single rack.

I wonder about this too. The other objections miss the point: if it's faster, and otherwise the same, and doesn't require different hardware, then why not just announce that the standard tier of MiMo-v.25-Pro is now ridiculously fast and raise the price? What does "limited high speed resources" mean if it runs on the same hardware as the rest of their pool?

I think the answer is that there's a tradeoff here where additional throughput for a single person can be achieved only by tying up more resources than a normal request would, even when you take into account the fact that the normal request takes longer to finish. I'm not an expert, but some of the optimizations they describe, particularly the parallel prediction stuff, sound like they could take up extra resources.

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

#100

Earlier quoted context omitted.

MiMo and DeepSeek are not cheap. Anthropic and OpenAI are expensive for what they provide.

The Chinese "Neijuan" is real & well reported: https://www.reuters.com/business/autos-transportation/what-i... It is another thing the BigLabs accuse open weight models of benefiting from distillation & other techniques & essentially avoid higher training costs (which typically bleed into bills end users pay for inference). Ex A: https://www.anthropic.com/research/2028-ai-leadership Ex B: https://www.reuters.com/worl…

True, but why would end users care about that? If anything, training on synthetic AI output is more ethical than on scraped human works (of course, not to say the Chinese labs aren't doing the latter)
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