Matt McDonnell
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drmattmcd.bsky.social
Matt McDonnell
@drmattmcd.bsky.social
Geek Code: GS/E d s: a+ C(++++) U W++ N+ w M PS+ PE Y+ X+ !tv b+++ DI+ D e++++ r++ y?
Data Scientist / Physicist / Quant / Sci-Fi fan
Cambridge UK
Buckminster Fuller
December 6, 2025 at 4:40 PM
Basically the AI version of this 1944 Office of Strategic Services document en.wikipedia.org/wiki/Simple_... part 5 section 11
Possibly useful countertool: AI given SSFM + local planning regulations and prompt 'find objections to this application and counter' as part of the submission process
Simple Sabotage Field Manual - Wikipedia
en.wikipedia.org
November 10, 2025 at 10:55 AM
It may be that Twitter has fragmented enough that network actions (likes, RTs etc) have lost value.
Also content recommendations based on scrolling pauses and click throughs feels like it's higher up the funnel so kind of makes sense. Would need to expose that to advertisers though as a KPI
November 2, 2025 at 5:58 PM
Using grok just for creating an embedding vector for each piece of content then feeding that into a recommendation engine feels like it might be feasible if the inference cost is low enough. Plus a content hash to avoid duplicates
November 2, 2025 at 4:52 PM
Looking through the slides arxiv.org/abs/1811.08338 'Causal Inference by String Diagram Surgery' looks relevant. Also reminds me of @johncarlosbaez.bsky.social 'Categories for Public Health Monitoring' johncarlosbaez.wordpress.com/2025/09/11/c... composition/stratification -> pushout/pullback
October 8, 2025 at 1:31 PM
The design of ChiRho using interventions to map between causal models feels related to Taco Cohen's "Causal Model Abstraction & Grounding via Category Theory" Cats4AI talk (which I still need to watch) see cats.for.ai/program/ for links to talk and slides.
Categories for Machine Learning
This seminar series seeks to promote the learning and use of Category Theory by Machine Learning Researchers
cats.for.ai
October 8, 2025 at 11:04 AM
As opposed to the worksherpas who organise them
October 8, 2025 at 11:01 AM
From a modelling pov the PD model trends to be simpler while the LGD model is trying to guess what happens when the lawyers get involved. So having an increased safety factor in just the first bit kind of feels reasonable as the second already pretty up in the air.
September 19, 2025 at 4:51 PM
Sorry, it has been a while since I've looked at this myself so not aware of what has changed in the intervening period
September 9, 2025 at 7:18 AM
Possibly in 'Purely Functional Data Structures' by Okasaki? Chapter 9 on Numerical Representations has some different random access lists. Maybe also something in cstheory.stackexchange.com/questions/15...
September 8, 2025 at 7:15 PM