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They default it to talking to a free version of their model (which is incredibly cheap if you decide you like it.)

But it seems trivially easy to run it against local models. Their onboarding guide offers that option, though I have no idea if it changes any functionality.


Interesting. I've been using their models quite a bit, through Claude Code, might try switching to this.

I also built a couple of harnesses, I wonder if I could swap this for Claude in those...

(Lots of interesting ideas in the blog post, but like all the AI developments these days, hard to be sure what's valuable without extensive experimentation.)


Because this isn't the first collection they've stolen from someone, presumably.

It's a lot easier to become a really successful company if you can keep your inventory costs down. Perhaps by investing in local law enforcement instead, to make sure no one looks too close at said inventory?

Donald Trump is famous for not paying even really cheap contractor bills, because he knew he could get away with it.


This is the answer. They thought they could get away with it. And from what I understand, they nearly did, because the original victim couldn't afford the risk of a lengthy and expensive lawsuit.


So we have this, and the Google employee polymarket trading:

https://news.ycombinator.com/item?id=48302822

I'm totally not surprised, except that Trump's admin is actually catching and prosecuting these people.

I assume that means this is just the tip of the iceberg, and the grift is so predominant that they can't help but catch some people.


Firm, but partial, disagreement.

People, especially in remote jobs, benefit from being organized into groups intentionally, with distinct rituals that enable them to operate effectively while they get to know each other better. Another person needs to design and oversee all that.

While you can provide templates for that structure that allow oversight to scale so that one person can oversee larger groups, that tends to be more effective in non-remote, and more predictable, work environments. Modern software development is very little of that.

I don't have much in-person experience with middle management in contexts outside of software development, and I suspect there are some opportunities to use AI to bring engineers closer to customers.


AI Orchestrated Waffle Parties


> with distinct rituals

If you do rituals you'll get ritual compliance, not people getting to know each other better.


For whatever reason, I get very few push notifications on my phone. Compared to my days at Blackberry, it's probably 10% as frequent that I get interrupted by my phone.

So good for me.

But there's some really scary stuff in here happening to other people that I'm not even aware of.


That's not generally true in the US over the last 40 years, where the gains from productivity increases have been accumulated almost entirely by the top classes.

Yes, lower classes have access to many more conveniences then they might have had in earlier decades, but they are working far more hours, and their expected lifespan has started decreasing.


my dad grew up in a house without running water in a town where everyone worked in a mine and the lead was everywhere. he hitchiked to alaska for seasonal work in a fish cannery. Yeah I don't know... i think things are better than they were 40 years ago.


There are still people in America who live without running water. There are still people who work on fishing boats in Alaska. There are still people who hitchhike. This is literally just an anecdote trying to deflect from contemporary problems. I don't see any value in this sort of discourse.

Just because things may have been worse for specific individuals does *not* mean that current problems shouldn't be addressed.


> Just because things may have been worse for specific individuals does not mean that current problems shouldn't be addressed.

Suggesting that things are better now than they were in 1986 for the overwhelming majority of people is not, in any way whatsoever, suggesting that "problems shouldn't be addressed". Come on. Y'all have got to start actually reading things before smashing that reply button.


oh no an anecdote! run away!


You should, especially when said anecdote amounts to "shut the fuck up and be thankful to your corporate overlords peasant."


> i think things are better than they were 40 years ago.

In relative terms, they seem much worse, Americans standing isn’t what it was. In absolute terms, I don’t know. What’s the measure?


I like FSI, which is a dimensionless number taking into account basically the functioning of society and the likelihood for unrest. (Fragile State Index)

It's the highest, at the moment, that it's been since the 1800s. The nadir for the US was in the late 40s early 50s when we had a 92% top marginal tax rate and extremely high social cohesion despite massive WW2 debts. Needless to say the late 40s and early 50s was not exactly utopia, but substantially more stable.


The measure was clearly stated: the life style of that one guy's dad. He's the official consumer well being canary.


What is the relevance of "Americans standings" circa 1986?


Things are better for you than your dad, presumably. Unfortunately, many Americans still live like that, so the conclusion doesn't hold water.


I think this does a very good job of describing the real gaps agents are hitting in practical usage, along with a fairly compelling rationale for why those gaps aren't likely to disappear any time soon.

If we're going to stabilize the software industry, we need to have more discussions like this that identify what constraints apply. (We should have had those discussion before pushing AI out this widely, but that wouldn't have gotten anyone rich.)

I actually think that there's a world of software systems agents can change, but it's materially different from the one we have now, and has a different set of constraints that we've also mostly done a poor job identifying. So hopefully the discussion can help those of us on both sides. ;)


I worked part time with MiMo 2.5-pro over the last month, and barely managed to use 500 Million of the 700 Million tokens I had allocated.

My plan was just upgraded to 38 BILLION tokens per month. That's at least 10X the tokens I've used in my entire agentic development so far.

I should probably downgrade my plan, but we'll see. :)


Token allocation/cost aside, how was the quality of the model? Any comparison with any other model you've used?

For example, I've heard DeepSeek v4 Pro is comparable to Sonnet 4.7, so I just bought some credits to try it out.


I was using Gemini and Claude quite a bit over the last year, mostly with pro or opus for planning and flash or sonnet for implementation.

MiMo is the best one I've used so far, but I haven't done anything interesting with the Claude 4.7 models. It seems conservative with generally good "instincts", getting things working quickly without too much complexity. I've also embedded it in several different projects so far, and it's been pretty easy and effective.


Did you not get 38B units? And a token = 2.5 unit (cache hit) or up to 600 unis (cache miss)


Yeah, I think they did switch the unit type.


Yep. I also got stupefied after I logged in and saw how many tokens they stuffed into my account...


Four-day work weeks are for cowards.

Take all that AI productivity and found a one-day work week company. One day of focused collaboration each week, let bots and brains chew on stuff in the interim.


Oh no, I can't tell if this is sarcasm or not, lol


It's a little bit snark, but I do think it would be an interesting experiment. Wish I had lots of money to try it out.


If I had the “lots of money” required, I’d try out a zero-day work week instead!


Oh, I don't want mean for myself, I mean as an experiment at the other end of the four-day work week spectrum.

Though for myself, I like having time to think about ideas in between when I collaborate with folk on them, so I have a lot of optimism about the success of the experiment. :)


a lot of AI is just wasteful like this.

there are a lot of parallels with crypto 'mining' a transaction and AI slopping a functional output.


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