the one-man inference provider i hit a $6m run rate as a solo dev morph was 1 person until last week the first inference provider to be live with kimi k3 without early weights access 250 customer slack connect channels i could've made morph a 1-person $1b company, but it would've been for the Ego instead of whats optimal we are no longer a 1-person company. but we will be the first 10-person $10b company. everyone joining has had multiple offers from frontier labs if you’re top 0.0001% at having adhd, dm me

fixed it

@morphllm has signed the open weights letter the models train on the inheritance of humanity. humanity should remain capable of possessing, understanding, and extending them. the deepest argument for open weights is not that open models are cheaper, or even that they create more competition. it is that models are compressed civilization. they train on the accumulated work of scientists, programmers, writers, artists, institutions, open-source communities, and generations of people who made their knowledge legible to others. model developers add enormous amounts of engineering, compute, judgment, and risk to this inheritance. that work is difficult and deserves to be rewarded. but it would be a strange equilibrium if models could learn from the open output of an entire civilization while the resulting intelligence remained available only through a small number of closed interfaces. open weights turn intelligence from a service you receive into a material you can work with. you can inspect it, modify it, specialize it, run it on your own infrastructure, and preserve what you build on top of it. a hospital, factory, university, startup, or country can accumulate capability without depending on the permission of a single provider. this is how real technological ecosystems form. not around one perfect oracle, but around thousands of people adapting a shared foundation to problems its original creators could never have anticipated. there are real risks to releasing powerful models, and openness is not automatically safe. but concentration is not automatically safe either. a future built around a handful of closed systems is fragile in ways we are only beginning to understand.

morph is now a top 30 provider on @OpenRouter our competition has raised over 100x what we have

Excited to be working with Merge to bring GLM 5.2, deepseek v4 flash and more to their gateway!

excited to be speaking at @aiDotEngineer on July 1st about how we use autoresearch to discover kernels for weird hardware. we're making models faster in environments that didnt make sense to buy until now come listen

another week another record

the general applied standard intelligence compute company

Compaction should feel invisible It should be fast, accurate, and cheap some of our beta users were confused because they didn't notice compaction happening in their coding agent now mission accomplished

monitor the situation watch your org's PRs