Throughout the summer, the big thing we've been exploring at the AI Daily Brief is all about the move from a single model paradigm where you pick the best model overall, and that's the one you stick with, to a more complex model architecture where we are both as individuals and as teams able to navigate nimbly between different models and even different harnesses to get the most out of AI based on whatever particular
Why listen
It goes beyond the title with direct discussion of model, openai, meta, including: And what's more, this summer, we got really clear on the fact that getting the most out of AI is not just a question of model or harness capability, but also a question of efficien.
Key takeaways
01Throughout the summer, the big thing we've been exploring at the AI Daily Brief is all about the move from a single model paradigm where you pick the best model overall, and that's
02And what's more, this summer, we got really clear on the fact that getting the most out of AI is not just a question of model or harness capability, but also a question of efficien
03And so it's fitting that the beginning of September has been just a cavalcade of new models from Fable 5.1 to GPT-6 Astra to the models that we're looking at today, including Muse
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