All about measurement
A new top model appears, but what are we actually measuring against?
We’re back with another edition of Machine Learnings, brought to you by the folks at Heyday.
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What we're reading.
1/ This week brought a new best-in-class LLM, Llama 3. Can we expect infinite improvement from here? Where is the line of diminishing returns? Learn more at The Economist >
2/ The flipside of the measurement problem is, well, even with stats, we can’t quite know how ‘smart’ they are. What does measurement mean when we can’t make sense of the measures? Learn more at The New York Times >
3/ The entry point to using AI tooling has been accessible to anyone with a computer, but what happens when we’re hooked? How do we extract ourselves from the OpenAI moat? Learn more at Bloomberg >
4/ Google has published a new line of ethical concerns regarding AI agents, to the point that they are now suggesting limitations on usage. What might that look like? Learn more at Axios >
5/ Microsoft’s latest deepfake generator (we can call it that) is extremely powerful, with one noticeable distortion. “Check the teeth” is the new “look at their hands.” Learn more at Quartz >
6/ Taylor Swift’s new album has us asking the day-old question: what if this is AI? Do we still love it? Do we have a cop-out? What if, indeed? Learn more at WIRED >
7/ We covered Neuralink a few weeks back, and this week we’re taking a look at the prominent competitors building brain computer interfaces. Where are they at with their progress? Learn more at MIT Technology Review >
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