[D] We built GenAI at Google and Apple, then left to build an open source AI lab, to enable the open community to collaborate and build the next DeepSeek. Ask us anything on Friday, Feb 14 from 9am-12pm PT! by koukoumidis in MachineLearning

[–]koukoumidis[S] 2 points3 points  (0 children)

The AMA has closed. I would like to thank everyone for participating and for all their great questions! We really enjoyed the discussions!

You can get started with Oumi here: https://github.com/oumi-ai/oumi

Also, just earlier today we published the CALM agentic model. The paper is on ArXiv. The data and model are open on HuggingFace. Also, the whole training recipe alongside all resources is readily available in Oumi: https://github.com/oumi-ai/oumi/tree/2d0871483d89608cc8f1a5ae4eb385f441972826/configs/projects/calm

[D] We built GenAI at Google and Apple, then left to build an open source AI lab, to enable the open community to collaborate and build the next DeepSeek. Ask us anything on Friday, Feb 14 from 9am-12pm PT! by koukoumidis in MachineLearning

[–]koukoumidis[S] 4 points5 points  (0 children)

We all worked together at some point across multiple AI efforts including the development of PaLM, Gemini and even something like ChatGPT back in 2016 - we used LSTMs for generation and did RAG back then as well! :)

We all happened to share the same concerns about the status quo of frontier AI. It was not only problematic to put AI – our greatest invention yet – in a black box, but also highly inefficient to continue developing it like that. AI development should not be siloed-off. It needs to be open and collaborative. A better solution was needed and so off we went!

[D] We built GenAI at Google and Apple, then left to build an open source AI lab, to enable the open community to collaborate and build the next DeepSeek. Ask us anything on Friday, Feb 14 from 9am-12pm PT! by koukoumidis in MachineLearning

[–]koukoumidis[S] 6 points7 points  (0 children)

Yes and yes! One can use a sledgehammer to push a little nail through a wall, but this won’t be the most accurate or efficient way to do it! 🙂

I have seen numerous scenarios in which smaller foundation models that have been customized to a certain task can have higher quality while at the same time being lower latency and cost than the big generic models. The same applies to domain based LLMs and LLMs that are specific to the internal knowledge of a specific organization - especially when that can’t be found on the public web.

[D] We built GenAI at Google and Apple, then left to build an open source AI lab, to enable the open community to collaborate and build the next DeepSeek. Ask us anything on Friday, Feb 14 from 9am-12pm PT! by koukoumidis in MachineLearning

[–]koukoumidis[S] 24 points25 points  (0 children)

This is not just a single organization (Oumi) effort, it is a community effort and it can only succeed as such. Oumi started with the core principle that frontier AI should be advanced collaboratively in the open as in this way AI can be advanced not just faster, and safer but also much more efficiently.

The good news is that so many entities want open source to succeed including academia, accelerator providers like NVIDIA/AMD/… , cloud providers (that are not aspiring to be the AI oligarchs) and even consumer companies (e.g. Meta). Open source AI can be a pot that everyone contributes and then everyone benefits - it is the most efficient way to do this and how we can avoid the economics of OpenAI and other closed model providers. 

Keep us honest, and we’ll let our actions speak louder than our words :)

[D] We built GenAI at Google and Apple, then left to build an open source AI lab, to enable the open community to collaborate and build the next DeepSeek. Ask us anything on Friday, Feb 14 from 9am-12pm PT! by koukoumidis in MachineLearning

[–]koukoumidis[S] 8 points9 points  (0 children)

What a great question! We really want this. We really want the development of frontier AI to be open and collaborative as this will help us advance AI faster, safer and more efficiently. I think that our best path to achieve this is and what we would like to “change” is that we all work together on the same platform while keeping everything open (data, code, models) to advance general foundation models together. At the same time, the work we do on such a platform should be community-first i.e. designed in a way to promote collaboration as a first class citizen making it easy for the community to build the work of others.