@latkins: I'm so happy this article came out on the same day as the GS1 announcement. Thanks Julie and @TechCrunch for the opport…

I’m so happy this article came out on the same day as the GS1 announcement. Thanks Julie and @TechCrunch for the opportunity to speak on it. I’ll link to the article below.

While the open-model conversation has recently become a political one, rather than the philosophical or safety-focused conversation it was roughly two years ago, I think solving the underlying reason companies and developers are choosing Chinese models, namely the lack of american and western alternatives, is a far better use of our time, capital, and collective thought than trying to regulate the problem away.

That would only be a band-aid, and those motivated enough would inevitably find ways around it.

When we released Trinity-Large-Preview in January, I said that by the end of the year we’d have a much more fruitful open-model ecosystem in the US, and I’m pleased that we’re already starting to see signs of that.

Since then, @thinkymachines has released Inkling, an organization and team team that carries tremendous influence. @poolsideai is moving at an insane pace with its recent Laguna models and shows no signs of slowing down. @nvidia has obviously shown the wider industry that investing heavily in open models and open science can deliver massive downstream dividends.

And we’ve been heads down, building toward a series of models, including GS1, that will, as I said below, “give [you] something to talk about.”

Let’s ride.

Lucas Atkins (@latkins): We’ve been quiet since Trinity-Large-Thinking came out in early April - but for good reason!

I’m excited to finally share that not only have we @arcee_ai joined the DOE’s Genesis Mission, but to also announce the development of Genesis-Science-1.