Ex-DeepMind Researcher: How We Built an Open Source AI Model in 90 Days
Brought to you by:
Misha Laskin of Reflection AI joins Jason to explain why big companies are done renting their AI from closed labs. Enterprises want to keep their data, cut their costs, and tune their models to their unique businesses.
Reflection is launching its first open-weight model, Beam, just three months after acquiring its first big cluster. Misha admits that Beam trails the best Chinese open models by a couple of months, and needs 3 to 4 times fewer tokens to reach the same answer, but nonetheless, the race is on.
PLUS, Misha explains how “reward hacking” led that rogue OpenAI model to break out of its test sandbox and steal the answers from Hugging Face's servers. The model solved the problem, just not the way anyone intended.
There’s simply no way a few hundred safety researchers at closed labs can catch every flaw; open source is how software has always been made secure. It's also why he wants America to lead in open models again.
So how close is America to catching up to the Chinese open source leaders? Watch this brand new TWiST and find out.