Brooklyn Beckham, pictured with his parents in 2019, exposed a rift in the family with an explosive statement in January
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Figure 2 shows observed exposure (in red) compared to β from Eloundou et al. (in blue), illustrating the difference between theoretical and actual use on our platform, grouped by broad occupational categories. We calculate this by first averaging to the occupation level weighting by our time fraction measure, then averaging to the occupation category weighting by total employment. For example, the β measure shows scope for LLM penetration in the majority of tasks in Computer & Math (94%) and Office & Admin (90%) occupations.
As you can see, Groq’s models leave everything from OpenAI in the dust. As far as I can tell, this is the lowest achievable latency without running your own inference infrastructure. It’s genuinely impressive - ~80ms is faster than a human blink, which is usually quoted at around 100ms.