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At the start of this year, many AI researchers said this year would be about AI’s continual learning, and no doubt, it will be.
But I think Google just dropped one of the best AI research papers. And I can’t say nobody is talking about it, because it already went viral on X.
When we talk about scaling laws, we usually talk about compute power and faster chips. But what about memory?
What happens when we hit the limits of AI context windows, like when a chat gets too long or we upload a massive document?
Why haven’t we reached a point where AI has a 10 million token context window yet?
There are a lot of questions. And I think this Google research brings a solution.
If you care about AI, this article will be worth your time. And honestly, don’t miss this one.
