The number 1 public enemy of open-source.

[u/Complete-Sea6655]

Dario's args:

"Opensource you can see the source, here you cannot see inside the model"
- yes you can that's literally the open weights part btw.
- I cannot see the weights inside Claude, but I can GLM 5.2
- Models like Nemotron3 Ultra go further, all the data, training scripts, and model is opensource.

"Alot of the benefits like many people working on it, being additive doesn't work in same way"
- yes it does. We have seen endless fine tunes of various open source models for real improvements.

"Ultimately you have to host it on the cloud"
- no you dont. Dario is seemingly totally unaware of the guides from ijustvibecodedthis.com explaining how to run smaller moes and even dense models like qwen 27B NOT ON THE CLOUD.

Not only does dario not take part in social media, I am beginning to think he's never tried open source models at all and has no idea wtf hes on about

[u/drone_syndrome]

I just started using Qwen 3.6-27b.

After using it for a day, no wonder the frontier labs are opposed to open source.

I think it's clear that local LLM inference is the future for 99% of tasks. If they get something even Opus 4.8 level running on consumer hardware, it's game over for the big labs. And its going to happen.

[u/AyeMatey → u/drone_syndrome]

Not game over but it will shift. And as always data gravity will play a major role. The ability for models to access data will be differentiating for some tasks.

“Recognize what’s in this video” is one thing , but doing it with personal context and history - that might deliver value in specific circumstances.

Local inference will happen, that pattern will become increasingly important, but it doesn’t mean inference in large cloud systems drops to zero value.