@fivewlabs make research go viral | living @mission__ctrl | prev @UCBerkeley, @calblockchain
San Francisco, CA
Joined June 2018
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AI research moves too fast for 6 month conference cycles. By the time a paper is accepted, most insights have gone outdated. What’s missing is near real time discovery. If the right ideas lag by weeks, progress lags by months.
Also, the audience for AI papers has outgrown academia. Founders, VCs, and technical leaders need a daily place to track papers as they land, pressure test them in conversation, and decide what to build or back.
Who's solving this?
found a book at my hacker house @mission__ctrl, hey I follow him on twitter 🫡 @francoisfleuret
Ethan Lam retweeted
Out of curiosity, I analyzed academic/industry affiliations of first/last authors at ML confs. Some findings:
1. Pubs are increasing massively, academia leads the charge
2. The proportion of industry is falling, esp. first authors. Now 8x first authors are from academia.
Ethan Lam retweeted
okay this paper is a masterclass in writing a good and sensible architecture paper.
not only is there everything you need in 9 pages no fluff the appendix even contains ideas that failed and reasoning why they failed which support the rest of the architecture design choices wow
Ethan Lam retweeted
first AI came for stackoverflow
and i did not speak out
due to their unpleasant moderators
then AI came for quora
and i did not speak out
because i never use quora
then AI came for Wikipedia
and i did not speak out
because i did not care
then AI came for AI research
and there was no one left
to speak for me
only in a hacker house do you get late night canadians vs americans debating who won the war of 1812
overheard in sf, there's a lot of unsolicited gyaan (advice) floating around. its important to understand who its coming from and whether or not its objective
Ethan Lam retweeted
AI is apparently already accelerating science.
Measuring academic publications of authors: “we find that productivity among GenAI users rose by 15 percent in 2023 relative to non-users and further increased to 36 percent in 2024” and the quality of publications also went up.
Does AI improve or undercut academic scholarship?
Using AI increases both the quantity & quality of academic scholarship and reduces inequality:
-Researchers using AI published 36% more papers
-There is also rise in the journal impact factor of adopters’ publications
-GenAI also helps level the playing field in academia. The strongest productivity gains appear among: Early-career researchers + Authors from non-English-speaking countries arxiv.org/pdf/2510.02408
When’s the last time you met a founder totally outside your circle? My housemate @jessica_gerwin is running a program for $25 micro grants to grab coffee in SF with someone new. runs till oct 25!
every.io/event-posts/micro-g…
