tweetindex

Kevin Patrick Murphy @sirbayes · 12 Aug 2026

**2/ How it works** MDA couples an **LLM as a proposer** of candidate mechanisms with standard Bayesian machinery: • SMC → posterior over structure *m* & parameters *θ* (+ evidence) • SBI → intractable likelihoods • Value-of-Information → pick the next experiment Design
9 267Views
54Likes
2Reposts
2Replies
0Quotes
11Bookmarks

Is that a lot?

1.45×vs this author's median6 395 views is typical
61Percentile for this authorof 18 recent posts
6.70×vs 10K–100K median1 384 views is typical
12.39%Reachviews ÷ followers
0.63%Engagement rateof viewers reacted

Compare with the benchmark table →

Open on X →