Connect the dots to better health! Aurametrix helps you identify the subtle cause-effect relationships that contribute to how you feel--any time, any day.
the time it would have taken me would probably have been of order of magnitude an hour (an estimate that comes with quite wide error bars). So it looks as though we have entered the brief but enjoyable era where our research is greatly sped up by AI but AI still needs us. 3/3
"GPT-5 moves from human-comparable to above human-expert performance"
GPT-5 outperforms licensed human experts by 25-30% and achieves SOTA results on the US medical licensing exam and the MedQA benchmark.
I sound like a broken record, but AI models are better than most doctors.
GPT-4o was below the level of medical professionals on medical reasoning benchmarks GPT-5 (apparently Thinking medium) now far exceeds them. (Usual benchmark caveats apply)
The prevailing wisdom is that compute is the most important factor for frontier AI training. We think this is wrong: data is the most costly and important component of AI training.
We collected estimates of revenue for major data labeling companies and compared them with the marginal compute cost for training top models in 2024. Our estimates show that data labeling is ~3x higher than the marginal training compute.
1/8
It's time for @MLMillenson to figure out the answers to the big questions about health care policy, the universe and everything. After all he has ChatGPT to help him. And the Magic 8 Ball...
https://t.co/rX8EHvrKxv
WEARABLE TERNARY PLOT
First try at plotting where certain wearables sit.
If a product sits in the centre of the triangle, it could be considered an "all-rounder".
If a product sits in the corner, it is a specialist at that particular metric.