3/ So the IMPROBABLE SPECULATION (imagining failure)–
Scientists identify canine/feline spread disease, epidemiologists track dog parks + dog walkers as superspreaders, households infected, outrage follows––both against pet owners––and pet owners (gasp) against euthanizing pets–
4/ I say this because our justifiable moral outrage over the past few years shifted powerful spotlights (annually) from
GUN CONTROL > ME-TOO + GENDER > BLM > ?
‘Animal rights’ are ripe for activists, outrage, protest––especially if there’s an unsuspected disease catalyst...
5/ From the POV of covid––it does not wish us harm, it wishes only to survive + replicate.
The history of viral vectors via OTHER ANIMALS + living things around us is the history (and FUTURE) of our own survival... nytimes.com/2020/09/19/opi…
6/ Over 60% of human disease come from other living things (including the HIV crisis) that originated over 100 years ago (and infected 2x as many people as covid ~71million––but it took HIV 10 decades and covid 10 MONTHS)
1/ On Feb 21 I told my boss aka my wife @LTwolfe that I had my third conviction call not yet appreciated + to buy a basket
*In 2016 it was NVDA, pitched publicly at Invest For Kids in Chicago (80x+) when Lux portfolio company Zoox was using NVDA chips and I predicted the narrative would change from gaming consoles PS4/Xbox to simulation and AI…
3/ In the fall is 2024 I pitched SK Hynix, Micron, Samsung and we bought in our pa
Mostly because I had read a technical paper about LLMs and inference on device with local flash (again changing narrative from commodity memory players to coveted attach rates on HBM AND edge)
1/ New paper from @ylecun et al on alternative approach for AI to learn more biologically...
paper basically says AI is super smart but still can't learn like a toddler can...
the main critique
the main critique...
is that top models today dont learn once deployed.
and curating data + training pipelines + filtering out noise is all done by humans in loop instead of being an intrinsic skill of the AIs...
here's Claude explaining the paper simply
3/ not quite Kahneman style but they call it System A +B
System A = learning from observation
this is self-supervised learning like predicting next word or video frame. good at making representations but passive and struggles to understand cause + effect...