Earlier quoted context omitted.
Comments at 1,000 TPS is a terrifying future.
I prefer a thousand smart AI comments to a thousand dumb human comments
Well, you can just vibecode a complete AI echochamber version of HN!
MiMo-v2.5-Pro-UltraSpeed: 1T model with 1000 tokens per second
241–250 of 512 posts
Re: MiMo-v2.5-Pro-UltraSpeed: 1T model with 1000 tokens per second
#242Earlier quoted context omitted.
There's a limit to what the demandXsupply curve can absorb. It really depends if there's twice as many developers or 10 times more. I think we have enough software development jobs to where we can absorb productivity doubling rather easily, not so sure about anything beyond that.
True on the demand/supply curve I think due to how leveraged software is, the top % of software developers are more desired (and compensated) than ever, and the bottom % will have difficulty finding a role, and there are structural barriers to entering that top % (intelligence, location, etc). Companies have infinite demand for the cream of the crop talent
I can actually back this up, most job offers I get actually come from people I happened to work with that never get a public job listing and are only obtainable via being highly regarded by others. I was told that my friend in their department where the role opened up got an email about a senior position and to reply if they have a recommendation.
However, software development is funny in a way where you don't need a job in order to be successful. I've never worked at a company and I'm pretty up there on the ladder, but I am not quite sure what will happen in next few years when ever possible thing that can be made in software is already explored to the fullest especially with singular developers launching 3 to 7 projects a month.
Re: MiMo-v2.5-Pro-UltraSpeed: 1T model with 1000 tokens per second
#243Fast 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
I exclusively use deepseek v4 flash now, completely stopped using slow models like Claude.
Basically I never have to wait - yes I have to tell it little corrections occasionally (but I know the domain really well so that's not an issue), but it's so much faster than anything else it's kinda crazy. I love the super fast speeds with high involvement development cycle.
I actually enjoy using agentic development flows for the first time now - whereas with Claude I absolutely hated it. That 5 to 20 min wait after every prompt absolutely killed my desire to even want to work at all.
Re: MiMo-v2.5-Pro-UltraSpeed: 1T model with 1000 tokens per second
#244Earlier quoted context omitted.
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.
You would do us all a service by telling us how your experiences of that have been.
I would say about 35% of the time I run into problems and eventually give up and go to GPT 5.5 and it much more efficiently handles the original task. Then I see the token costs going up and it motivates me to continue trying the open source ones.
Re: MiMo-v2.5-Pro-UltraSpeed: 1T model with 1000 tokens per second
#245So, 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…
In which world do you live where employees work 8 hours per day ? They clock 8 hours per day maybe, but they don't work that time
Generally, when people say they are working 8h/day, they don't literally mean it. Even "work" is basically impossible to define for a SWE.
Re: MiMo-v2.5-Pro-UltraSpeed: 1T model with 1000 tokens per second
#246Earlier quoted context omitted.
Do you mean Flash and not Pro? I haven't tried it personally, but according to OpenRouter, the fastest DeekSeep V4 Pro providers are only ~50tps. That's slower than Claude Opus. https://openrouter.ai/deepseek/deepseek-v4-pro?sort=throughp...
Yeah, flash is crazy fast, but I've found performance variable.
Flash is amazing if you know the domain really well.
E.g. occasionally it makes the dumbest mistakes you've ever seen and can't correct them. However it's fairly rare, and if you know the domain really well, occasionally popping in the code and pushing it towards the correct solution takes like 20seconds or whatever.
So the speed you can move with flash + high domain knowledge beats opus by a mile in my experience.
I tried to switch back to 4.8 for a bit when it came out, feels so bad waiting 20mins for a mediocre solution when I could have had everything complete - with multiple iteration cycles - in flash in like 3-5mins.
Re: MiMo-v2.5-Pro-UltraSpeed: 1T model with 1000 tokens per second
#247So, 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…
Like with any tech there are dumb ways of using it and there are smart ways. Treating it as a "slot machine giving you the right answer" is a dumb way - it may work for a bit, but it won't carry you very far because everyone else can also do this. No one is stopping anybody from digging deeper into problems than ever before using this technology - that's the smart way.
Re: MiMo-v2.5-Pro-UltraSpeed: 1T model with 1000 tokens per second
#248Earlier quoted context omitted.
Agent mania setting in It's also pretty funny sometimes how it gives weird future roadmap estimates ("part 2 - 3 weeks, part 3 - 2 months", etc.) and when you tell it to actually do those changes it's pretty much done in half an hour
I've long believed those numbers were faked by Anthropic/OpenAI to serve as a form of advertisement. The estimates are impossible to verify and their ability to do "2 days of work" in 10 minutes will presumably make the user go "Wow, I just saved SO much time!" Plus, the unnecessary text eats up the users' tokens so it helps the companies on the backend, as well.
> the estimates
It doesn't estimate.
It generates tokens that read like estimates associated with the context in its training material.
What would you expect the generator to output instead?
Re: MiMo-v2.5-Pro-UltraSpeed: 1T model with 1000 tokens per second
#249Neat. The frontier models have gotten pretty impressive, but they're all a bit too slow for interactive, human-in-the-loop coding. It incentivizes vibecoding and running multiple agents in parallel. A fast agent feels more like a partner. For a while I was running Cerebras GLM 4.7 for a bunch of tasks. Not a very smart model, but it's fantastic to be have a live prototype of a site up and be able to type "make the fo…
i tried glm 4.7 for agents that write code. simple scripts 200-1000 LOC. extremely bad . Had to abandon cerebras oferning, their smart models are only on enterprise plan.
glm 4.7 is quite old by now. I don't even use 5.1 anymore, cause I found kimi k2.6, mimi 2.5 pro, deepseek v4 pro and qwen 3.7 all better than glm 5.1
Re: MiMo-v2.5-Pro-UltraSpeed: 1T model with 1000 tokens per second
#250These 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 wonder what are the economics driving these pricing decisions? Are the Chinese companies just subsidizing their models to a greater degree than the US, or is this an emergent property of energy policy between countries?
For one, they invested in infrastructure. They can build fast and efficiently. They can provide power, they can provide cooling. Even if you just make roads better you make everything more efficient. Plus level of standard education. It all compounds.
On HN China is seen as a cheap labor copycat. This used to be a fair approximation at some point in the past. In my opinion China is getting ahead of everyone else much more than US used to be.
SF is a beautiful thing in the US, vast power and wealth comes from there. Smart people collaborating communicating and building fast and with excitement. China did SF kind of thing for many different sectors in many different places.