Yeah, i'm hoping that gets smoother. I've been experimenting with omlx and opencode on my m5x64gb and keep running into issues w/ Qwen3.6-35B-A3B-MLX-8bit exceeding it's memory limit at the most inopportune times. Playing with 12B gemma4 (8bit) more today.

Maybe I should be aiming for something targeting 48gb of memory?

Wrote this a while back. https://martinalderson.com/posts/no-it-doesnt-cost-anthropic...

OpenRouter is the best guide to real costs.

I agree this is a hard problem for the labs. I would be hesitant about “probably not” though. There is just as much marketing copy floating around as there is coding training data. I struggle a bit in this question because I’ve only ever worked as a software engineer, so I can’t exactly make claims about all the work other jobs do. But, one example is I was talking to a doctor friend of mine the other day. He was talking about how he had to take his recertification exam recently and put the questions into chatGPT and thought it gave answers that were generally more thoughtful and correct than his own. Does that mean doctors are done? Of course not, but he’s now pushing hard for more ai tool use in his practice.

> Coding has stack overflow, what does, say, advertising use?

Advertising has centuries of print ads, 100 years of radio advertising, 70 years of TV commercials, etc. And modern AI does not necessarily need labeling.

Unfortunately, maintaining an opposite list would probably be easier.

That's basically what you'll see if you open a newspaper to the stock page. That's the idea behind business. It's why you have what you have.

Robots that replace auto industry factory workers exist; the CEO of GM didn't imagine them as part of some sort of business media induced psychotic episode.

The same is not true for the software industry execs.

GM is running 0% interest, no payments until n deals right now.

That’s usually a sign that sales are not “just fine”.

The above comment, to which you responded, wrote about CEOs who responded to mass hysteria, not those who automated anything.

This is true, and I'm sure AI cuts will continue, but it's obvious that the ones who went "all in" at AI's mass introduction were drinking a special kind of Kool-Aid reserved for the truly sycophantic Wall Street lap dogs, not the CEOs who think about risk and are cautious about betting the farm on a relatively new and mostly untested technology. GM is over 100 years old, and no doubt released improvements that were well-tested and predictable, because you don't take massive chances with a company that well established. It was a couple years into the mass AI deployment that studies on the minimal overall productivity gains of AI even started to come out(!) This was "get on the bandwagon" thinking at a massive scale, which shows you how many CEOs are not independent thinkers at all, but are really just followers. Yes, use AI, but do it responsibly, never forgetting that your investors aren't your only stakeholders - so are your people.

> GM just did this in the last 30 days [1], and their sales are likely going to be just fine. In fact the auto industry has repeatedly automated jobs over the last 100 years, and they still make decent sales numbers.

I worked at Verizon during their layoffs last year. Biggest layoffs in the USA.

As someone who’s been laid off before, I knew that it generally boosts the stock price.

I bought VZ because of that. It’s up 15% since the layoffs.

Microsoft, an AI stock, is down 30% in the same timeframe.

True, but my friends in Enterprise still just purchase Claude Code subs and expense them. They basically get an allowance of $500 or so per month to buy various tools, and of course are banned from Chinese models. (Claude, Codex, Antigravity allowed, basically.)

Pay for DeepSeek directly. One developer insists on having his own account and in theory expenses it, but he forgets to turn in $10 expense reports. (Total spend in last two months = about $45.)

Pay for OpenAI Pro directly, but I’m the only guy that uses Codex. $100 a month. My nontechnical partner likes to talk to ChatGPT 5.5 Pro for image related tasks (think generating interior decorating pics).

The nontechnical staff use a Gemini account on a Google family AI Pro sub. I use Antigravity when working on Android or Google Cloud API codebases.

Everyone gets OpenCode Go. The cost is trivial. $10 a month per person.

Pay for MiMo directly. We use it during Chinese off peak hours though. Total spend so far $25 in last month.

We run a few Qwen models locally and pretty much have them pegged all day. RTX 5090 on a PC and a Mac Studio.

There’s also Grok which is used for Imagine for artistic / graphic design related work. I also use the subscription for a vision model in my oh-my-pi harness.

We’re having discussions about how to pull in GLM-5.2 cost effectively. We compete with third world development shops so we can’t really pass on inference costs, but we can benefit from getting jobs done for customers faster. But ⅔ of our work is either internal or open source projects we can’t bill for.

Not the GP, but I use Opus for planning, Deepseek for actual coding (implementing the plan) and GPT for review. GPT is inexhaustible on the $20/mo plan, Deepseek is dirt cheap (maybe $10/mo) and Claude is Claude.

Subsidizing makes no sense when there's no - possibility of a - moat. Although it's very possible that China in general subsidizes Chinese labs in some way so they maintain pressure on US labs. But you only have to look at proxies such as OpenRouter to see that the individuals aren't doing any subsidizing on per token costs.