We will get to a point where prosumer laptops that etch SoTA LLMs in removable silicon will be as expensive as cars.

Go is similar to popular languages like C, JS/TS, & Python. And so, easy to get started.

> highly value a type system that catches errors

Probably these folks already use even less popular ML-style languages like OCaml & Haskell; or (comparatively) obscure ones like Agda, Idris, & rocq/Coq.

Sarcasm or irony?

For instance, this "marketing" claim that it'll take 24y to break even if a user only uses 100m tokens/day (~$1.14 in DeepSeek v4 Flash usage) ignores the fact that OpenCode Go has 5h & weekly throttles. Besides, folks who self-host models usually run automated jobs [0]. I think the GPU setup could possibly serve 10+ "users" concurrently, bringing down the break even by 22y (10x).

[0] For comparision, we routinely do 200m to 500m tokens ($2 to $5) on merely 3 to 8 automated code reviews per day with DeepSeek v4 Flash on max.

Surprising that Meta don't host this model, even as rate-limited free-tier.

> open weight version of Muse Spark 1.2

Wait. Is this "version" different from what Meta serves?

Open weights*

I don't think outside of the Big 3 (Ant, OAI, GDM), given the strong competition from China, any other Lab has a chance at capturing the coding market if they aren't open weights (save for xAI whose latest Grok looks every bit good & will probably rely on Cursor for distribution instead of going open weights). There's literally no other selling point, as the capabilities have mostly converged by now among the chasing pack.

Even often so, what might be a problem for some, will be a desirable solution for others. Cue the utilitarians...

If today's top LLMs are reliable enough (without grounding) to academically learn "complex topics" from, may be I need to adjust my priors. I must say, I do find myself chatting about other topics (without the need for grounding) that I'm trying to "absorb" (not really learn), like Behavioural Psychology & Philosophy.

[0] Products like NotebookLM are built specifically for such usecases.

> working on some more commercial features, like the ability to monitor queries (e.g. for backlinks or brand mentions) and get an email when there are new results

As an inspiration (presuming you don't already know), see exa.ai who build generic solutions in similar space: https://exa.ai/docs/reference/monitors-api-guide

Careful with using OpenCode's accounting for DeepSeek v4 Pro, though: https://github.com/anomalyco/opencode/issues/39822

[0] https://github.com/anomalyco/opencode/issues/39857

My read is, OpenAI is neither able to claw b2b money (away from Ant) nor are they able to stave off open weights on the other. In short, they're struggling to hold onto their distant #2 position in the coding market, and these pricing changes reflect a (desperate) change in strategy.

If you prefer subscriptions, OpenCode Go ($10/mo), Cline Pass ($10/mo), Atlas Code ($20/mo), and CommandCode ($1/mo) serve some of the best open weights with generous limits. OpenCode Go currently offers $120 for $10 on DeepSeek Flash v4 (if you're okay with data retention).

https://reddit.com/r/DeepSeek is where the fellow F5ers are at.