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by braiamp 11 days ago
The real moat aren't the models, but the tooling around the models that allow them to perform specific tasks/goals. That's what really sets apart frontier vs open. Open only has the model itself, closed have the tooling to enhance the model.
3 comments

> The real moat aren't the models, but the tooling around the models that allow them to perform specific tasks/goals. That's what really sets apart frontier vs open. Open only has the model itself, closed have the tooling to enhance the model.

As these frontier companies have been boasting, writing software is now a negligible cost because the LLM can do it.

IOW, no, their software can't be a moat, because, according to their own arguments, you can use their LLM to trivially clone their software.

> you can use their LLM to trivially clone their software.

Perhaps, but what you can't clone is familiarity, polish, integration, and network effects. These companies desperately need a moat, and so for example all the new additions to Claude's web interface are becoming the products that the vast majority of people will use and be locked into (if it goes according to their plan).

If development is trivial and capability remains the differentiator, then "familiarity, polish, [and] integration" are non-issues.

I'm not sure what network effects even means in the context of llm selection.

I'm happier with my Opencode Go running with the pi harness than Claude Code at work currently. I'm not sure if this will be that big of a moat, at least in the software dev market.
I feel the same. I feel Anthropics' raw models are excellent, but Claude Code's bloat make them lose some potential.

This and I very much miss reading the chain of thought. At least I have it on GLM-5.2.

I've tried GLM a few times but each time it ends up getting stuck in a loop and burning tons of tokens before I eventually kill it and restart. Has anyone had the same issue / know how to avoid it? I've been using Qwen 3.6 instead
Where are you sourcing the API from?

I have zero quality issues on Z.ai Coding Plan and maki.sh as the coding agent, but I've seen many reports on 3rd party providers that they host heavily quantized versions of GLM models.

unfortunately, for me, that's an anti-moat; their dark, inconcievable, alignment, random "no goblins" and inability to be reliable where their models are inevitable non-determinant means you're going to constantly run into the "this worked yesterday" problems, no matter how smart the models actually are; being filtered constantly through economics, political and ego-maniacal filters means everything you do with it will break at any given interval.

good luck.