> The math and coding part is impressive but the agentic one is not.
I think this is very important to eventually become a viable replacement for coding models. Because most of the time coding harnesses are leveraging tool calls to gather the context and then write a solution.
I am hopeful, that one day we can replace Claude and OpenAI models with local SOTA LLMs
That's absolutely possible, its just as we move towards more advancement, We'll soon see Small models being smart enough to not be judged by parameter count but their reasoning and intelligence. You can see examples like Qwen 3.6 27B.
I've been saying it for a long time now. I think small models are the future for LLMs. It's been fun seeing experiments to see just how much better models get by making them insanely large but it's not sustainable.
No I am not saying this model is a drop in Claude replacement. But I think in 2 years we might be really surprised what can be done in a desktop with commodity hardware, no connection to the internet, and a few models that span a subset of tasks.
Really happy to see amd put their hat in the ring. It's a good day for amd investors. I know a lot of AI bros will scoff at this, but having your first training run is a big deal for a new lab. AMD is on their way despite Nvidia having years of runway
using C was 100 times as productive as assembly. what happened was not that we finished software 100 times faster, but that we did projects 100 times bigger in the same time
same thing with smol local LLMs versus the big ones in the sky. your smol local LLM will only be able to tackle projects which are not comercially valuable anymore, because people expect 100x scope and features. which is fine as a hobby/art project
yes, we'll do amazing things with local LLMs in 2 years, but the big LLMs will do things beyond imagination (assembly vs C)
I disagree. I think people can make very good software by balancing their use of AI and their market knowledge. I still believe for the foreseeable future people can make wildly loved or mission critical software with 0 ai and have it be met with market interest.
I think we are going to see a surge in software claiming to do everything and becoming bloated and unsustainable.
I already see 1gpu local models 1 shotting games via vibe coding. I see people doing agentic programming, granted more slowly and cheaply than 12 Claude sessions.
The difference isn't as big as it was 2 months ago. In the past 45 days so many model releases have happened. Meanwhile frontier performance has stagnated and degraded. If it's a taste of what is to come I welcome it.
He could be right but time will tell if we can really achieve that level in open source space because as you know Even in open source space companies go closed when they achieve something really efficient and frontier. I'm not talking about all but that's usually a pattern
> The math and coding part is impressive but the agentic one is not.
I think this is very important to eventually become a viable replacement for coding models. Because most of the time coding harnesses are leveraging tool calls to gather the context and then write a solution.
I am hopeful, that one day we can replace Claude and OpenAI models with local SOTA LLMs
That's absolutely possible, its just as we move towards more advancement, We'll soon see Small models being smart enough to not be judged by parameter count but their reasoning and intelligence. You can see examples like Qwen 3.6 27B.
It's pretty close already. Check qwen3.6 27b if you haven't already. People are vibe and agentic coding with it on a single GPU.
It is more finicky than Claude but if you hand hold it a bit it's crazy.
[delayed]
Announcement blogpost: https://www.zyphra.com/post/zaya1-8b
I've been saying it for a long time now. I think small models are the future for LLMs. It's been fun seeing experiments to see just how much better models get by making them insanely large but it's not sustainable.
No I am not saying this model is a drop in Claude replacement. But I think in 2 years we might be really surprised what can be done in a desktop with commodity hardware, no connection to the internet, and a few models that span a subset of tasks.
Really happy to see amd put their hat in the ring. It's a good day for amd investors. I know a lot of AI bros will scoff at this, but having your first training run is a big deal for a new lab. AMD is on their way despite Nvidia having years of runway
using C was 100 times as productive as assembly. what happened was not that we finished software 100 times faster, but that we did projects 100 times bigger in the same time
same thing with smol local LLMs versus the big ones in the sky. your smol local LLM will only be able to tackle projects which are not comercially valuable anymore, because people expect 100x scope and features. which is fine as a hobby/art project
yes, we'll do amazing things with local LLMs in 2 years, but the big LLMs will do things beyond imagination (assembly vs C)
I disagree. I think people can make very good software by balancing their use of AI and their market knowledge. I still believe for the foreseeable future people can make wildly loved or mission critical software with 0 ai and have it be met with market interest.
I think we are going to see a surge in software claiming to do everything and becoming bloated and unsustainable.
I already see 1gpu local models 1 shotting games via vibe coding. I see people doing agentic programming, granted more slowly and cheaply than 12 Claude sessions.
The difference isn't as big as it was 2 months ago. In the past 45 days so many model releases have happened. Meanwhile frontier performance has stagnated and degraded. If it's a taste of what is to come I welcome it.
You couldn't be any more right!
but he could be absolutely right
He could be right but time will tell if we can really achieve that level in open source space because as you know Even in open source space companies go closed when they achieve something really efficient and frontier. I'm not talking about all but that's usually a pattern