👽 Researchers Use AI to search for alien signals
Plus, ChatGPT passed a gold-standard US medical exam.
In today’s email:
ChatGPT passed the three-part Medical Licensing Exam.
AI is helping researchers look for signs of alien life.
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🤓 2 Big Stories About AI
1. ChatGPT passes gold-standard US medical exam.
First ChatGPT was passing business exams. Then it started scoring passing grades in law exams. Now, "Doctor Google” better watch out because Doctor ChatGPT just passed the Medical Licensing Exam.
The 🥩 of it:
ChatGPT has passed the Medical Licensing Exam (USMLE) in the US with a score between 52.4% and 75%. The USMLE is a three-part exam and the passing threshold is around 60% each year.
The study was conducted by researchers from AnsibleHealth, and the results have been peer-reviewed and published in the PLOS Digital Health journal.
The study tested the software on 350 questions from the June 2022 USMLE.
The test was reviewed by two doctors and discrepancies were reviewed by a third expert.
ChatGPT produced at least one significant insight that was new, non-obvious, and clinically valid for 88.9% of its responses.
The results exceeded the performance of PubMedGPT, a counterpart model trained exclusively on biomedical literature, which scored 50.8% on an older dataset of USMLE-style questions.
The authors believe the results suggest ChatGPT may become a valuable tool in medical education. Clinicians at AnsibleHealth have already begun experimenting with using ChatGPT as part of their workflows to rewrite reports.
Despite its current limitations, experts believe the future will see more such successes in AI and that investment is needed in education to understand AI techniques.
2. Researchers Use AI to search for alien signals.
Researchers have developed an AI system that outperforms traditional methods in the search for alien signals. Early results were at least intriguing enough to send scientists back to their radio telescopes for a second look.
The 🥩 of it:
Researchers have developed an AI system that outperforms traditional methods in the search for extraterrestrial life. The AI system was trained to recognize signals that natural astrophysical processes couldn’t produce and fed over 150 terabytes of data collected by the Green Bank Telescope.
The AI flagged more than 20,000 signals of interest, with eight showing the characteristics of what scientists call “technosignatures”, such as a radio signal that could tip scientists off to the existence of another civilization.
The system was created by Peter Ma, an undergraduate student at the University of Toronto, and co-authored by experts affiliated with the University of Toronto, UC Berkeley, and Breakthrough Listen.
To train the AI system, simulated signals were inserted into actual data, allowing the autoencoder to learn what to look for.
The researchers then returned to the telescope to look at systems from which all eight signals originated but couldn’t re-detect them.
“Eight signals looked very suspicious, but after we took another look at the targets with our telescopes, we didn’t see them again,” Ma says. “It’s been almost five to six years since we took the data, but we still haven’t seen the signal again. Make of that what you will.”
I…don’t know what to make of that, Peter. Is it aliens? A fluke? An alien fluke? Please be aliens.
