Do they have an api to try the model in real envs?
Inkling: Our Open-Weights Model
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Re: Inkling: Our Open-Weights Model
#32It's nice to see a strong long context open weights model that is multi-modal. There are many applications that will benefit from the strength in audio here and until z.ai and co work in visual this could be very strong for general agentic applications, though I see there's a bit of weakness in the benches for areas that might make that less true. Like all models need to slap it in your harness and do proper evals on…
MiniMax M3 and DeepSeek v4-Pro are highly capable long context open weight multi-modal models. But long-context is a trap, because performance still falls dramatically after 150k-200k context.
Re: Inkling: Our Open-Weights Model
#33What are the different business models for open-weight AI companies?
Re: Inkling: Our Open-Weights Model
#34Raised 2 billion dollars at a 12 billion valuation and debuts at 41 on the Artificial Analysis Intelligence Index, while KIMI and DeepSeek will release Fable-class models this week. What a joke.
Re: Inkling: Our Open-Weights Model
#35If it's ~30% bigger and not as good as GLM 5.2, why would I tinker with this model? Maybe for the multi modal?
> Maybe for the multi modal?
Yeah
Re: Inkling: Our Open-Weights Model
#36What are the different business models for open-weight AI companies?
Just serving the model over API seems like a natural fit and is what many of them are doing. So simply being the cloud provider for your own open weight model can be a source of revenue
Re: Inkling: Our Open-Weights Model
#37What are the different business models for open-weight AI companies?
Just serving the model over API seems like a natural fit and is what many of them are doing. So simply being the cloud provider for your own open weight model can be a source of revenue
But so can everyone else. What’s the moat for spending all those billions. I understand the Chinese angle, they need to undermine American models as a matter of statecraft, but what is the business model here? It just seems like VC charity.
Re: Inkling: Our Open-Weights Model
#38For a first model, and given it's open, I am gaining some faith in American Open research labs again...
I couldn't test it since it's not on openrouter or something, but even if it's only as good as GLM5.1 that's more than good enough first attempt, I think.
Perhaps a lot more labs will catch up to ballpark frontier esque level soon, I am all for more competition in any field.
Re: Inkling: Our Open-Weights Model
#39What are the different business models for open-weight AI companies?
Just serving the model over API seems like a natural fit and is what many of them are doing. So simply being the cloud provider for your own open weight model can be a source of revenue
What is the moat? The time it takes for AI to rewrite an efficient inference stack for a new model? Considering most LLMs follow a similar architecture, adapting to a new model shouldn't take that much time.
Re: Inkling: Our Open-Weights Model
#40America needs its own DeepSeek or Z.ai, a lot of people (myself included) root for open chinese models to win because they have no other choice. Thinking Machines might be it.
It could be but there are a host of companies going after open weights models: Arcee, Reflection, Llama (TBD on Meta's focus on closed-source versus open-source), etc. That said, the fine-tuning API + open weight model at least is a semblance of a viable business that could work so I will be curious about it. I'm not sure the synergy is fully there (why is someone with an open weights model privelaged to fine-tune it…
> It could be but there are a host of companies going after open weights models: Arcee, Reflection, Llama (TBD on Meta's focus on closed-source versus open-source), etc.
my bet is that Chinese government fund Chinese models way more compared to what those companies receive (except llama, which is outdated but was strong foundation at its time)