Trendar collects AI/ML papers, global news, and GitHub trends, reads every item, and ranks what matters — then puts the day in one AI-written line.
Last collected 10h ago
Every day the AI calls a trend's direction and posts the bet publicly. At maturity it's auto-graded against a naive "assume it just continues" baseline — and the hits and the misses both stay on the board.
See the live scoreboard →Every morning it pulls new AI/ML papers (arXiv, OpenAlex & more), global news, and trending GitHub repos.
The AI reads each one and scores it by novelty · contribution · impact — not by popularity. Quiet, important work doesn't get buried.
It predicts where trends are heading, posts the call in public, and grades itself against a naive baseline at maturity.
Toward expert-level medical question answering with large language models
Med-PaLM 2 achieves physician-level medical question answering performance through medical domain fine-tuning and strategies for improving reasoning and grounding. In human evaluations, physicians preferred Med-PaLM 2 answers over those from other physicians, and in a real-world medical question pilot study, specialists preferred Med-PaLM 2 over generalist physician answers 65% of the time.
927 cited · 1y ago
How I use LLMs to learn complex topics
▲ 462 · 18h ago
Nutlope/hallmark
★ 23.1K
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