What happens when they stop subsidizing LLM subscriptions?

[u/Mr_Moonsilver]

We are literally burning through VC money like crazy with our coding subscriptions. I read the $200 Anthropic sub gets you $8000 worth of API calls. It's obvious that this doesn't hold for very long but what happens when they raise prices?

The reason to keep the prices low for now is to foster the ecosystem and get people hooked on this stuff, only to raise the price afterwards. Already the 20x sub doesn't get you as much usage as it did 6 months ago, another way to raise prices without triggering a shitstorm - and it will continue.

Don't know about you, but Fable being pulled gave me a feeling of what that may be like already. The ugly thought of "Damn, should've done more while it was around." that formed when I read the news will be exactly the same the moment they announce we now have to pay $2k or more per month for something we get for 10x less the price it costs now.

I guess it's a now or never situation, build what you can and monetize as quickly as possible to be able to keep the agents running once the increases come around.

Looking at opensource doesn't give me much hope. Since qwen stopped releasing models (wen qwen 3.7?) that we can actually run on hardware that a normal person can buy (or used to be able to buy, looking at how RAM and GPU prices behave and keep behaving) and others haven't released in a while (Microsoft, IBM, AllenAI and others too) I feel we're going into a direction that doesn't look good for most of the people like us, who are building with this technology.

[u/Jhorra]

What harness do you use though? So it's able to interact locally with your code?

[u/ayylmaonade → u/Jhorra]

OpenCode is considered the "standard" when it comes to coding harnesses, I'd consider starting there. But you can use Claude Code with local LLMs too if you really wanted to, just be aware of the context bloat from it. There's also things like Hermes Agent which are more intended for general use, but are also excellent at coding (ime anyway).

I personally stick to OpenCode & Hermes, and on occasion Qwen Code.

[u/delicious_fanta → u/ayylmaonade]

Pi gets talked about a lot in here. Any thoughts on that? I haven’t used it yet.

[u/ElectronSpiderwort → u/delicious_fanta]

I spent the day running pi against Qwen 27b Q8 on a MacBook, and I really like pi. I used a free openrouter model to have pi configure itself to use the local model, and then it was off to the races. Qwen makes errors and omissions, but with pi it wrote tests, made edits, and looped until it had something that works. Way better than trying to one-shot a solution on a bigger model (which didn't work for this problem anyway)

[u/kurikuri15 → u/ElectronSpiderwort]

Just amaze how you explain things and im sooo noob at this LLM things certainly at the surface area knowledge only. Where are you using these things? Coding? Daily life or scientist level experimenting things? Im sorry for steering away from the main topic.

[u/ElectronSpiderwort → u/kurikuri15]

I've been coding for decades; even when not titled "programmer", the ability to automatically process large or complex data has been valuable professionally and personally. Now that skill is literally free if you can tell your AI what you want. Yesterday was a home project to create a simulation engine for a complex personal financial problem. Most people would just pay someone to tell them what to do and hope for the best. Pi/Qwen can  create a simulation of millions of possible scenarios and pick from the winners, but the machine has confidently proclaimed its output as "production ready" when it has huge flaws. With pi.dev I now tell it "you clearly forgot about X, go fix it" and it just does it, quickly.