What inspiring academic ML work have you seen recently — open prompt from Simo Ryu (@cloneofsimo)
Open-ended community prompt from Simo Ryu (@cloneofsimo) asking what inspiring, non-hype academic machine-learning work people have seen recently. Tweet posted Apr 12, 2026; ~35.9K views. Simo seeded the thread with his own pick (attached as an image, not a linked artifact) but the value of the post is the reply thread, not the OP itself. No underlying paper is linked from the tweet.
Key claims
Section titled “Key claims”- The post is framed as “non-hype, genuine shyt only,” explicitly asking for recent academic work rather than product or model announcements [tweet body].
- The OP attaches a single image (Simo’s own pick) but no URL to a paper, blog, or repo [tweet metadata; embedded URLs list empty].
Method
Section titled “Method”Not applicable — this is a community-sourcing tweet, not a paper or artifact. Filed as a pointer so future readers know what was making the rounds.
Results
Section titled “Results”Not applicable.
Why it’s interesting
Section titled “Why it’s interesting”Useful as a snapshot of what the broader ML twitter community was flagging as inspiring in mid-April 2026. The image Simo attached is not readable from the tweet text alone, so without the reply thread this filing is mostly a placeholder. Complements The flavor of the bitter lesson for computer vision and On the Slow Death of Scaling as non-hype-counterweight reading the team has already filed.
See also
Section titled “See also”- The flavor of the bitter lesson for computer vision — also frames ML progress in terms of non-hype, foundational ideas
- On the Slow Death of Scaling — sober counterpoint to scaling-as-progress narrative