ASU Assoc. Prof in SCAI and SOLS.
Decision making and behavior in living and artificial autonomous systems. I ❤️ ants, bees, wasps, robots, and optimal foraging theory.
mastodon: @[email protected]
Twitter/X: @TedPavlic
@TEDx: http://youtu.be/9GWXCRetOjk
Ted Pavlic (he/him/his)
WE DON’T NEED A FUCKING TREATMENT WE HAVE A VACCINE THAT IS 97% EFFECTIVE AND COULD ERADICATE THE DISEASE IF WE DIDN’T HAVE ANTIVAX GRIFTERS LEADING US 🤦🏻♂️🤦🏻♂️🤦🏻♂️
www.nytimes.com/2026/06/11/w...
Do you think Anthropic called it "Fable" because there are just unverified tales of it actually being willing to complete a request?
#Fable5
So, let me get this straight. Investors thought other investors would confuse SPCE for SPCX, and so they INTENTIONALLY bought SPCE in anticipation of that, leading to a rise in SPCE stock...
Interesting approach: "We’ll teach 1,000 fellows how to use Claude well, match them with nonprofits across America, and pay them to spend a year—full-time, in-person—helping host organizations to advance their missions."
"Introducing Claude Corps"
www.anthropic.com/news/claude-...
Now updated to include a third tab that covers using mixed-effects Cox Proportional Hazards models for hypothesis testing (and various visualization options).
tpavlic.github.io/topic_visual...
Now updated to include a third tab that covers using mixed-effects Cox Proportional Hazards models for hypothesis testing (and various visualization options).
tpavlic.github.io/topic_visual...
To help a student understand how to handle right-censored data, I built this survival (and recurrent-event) analysis explorer that demonstrates the approach and provides some basic derivations. Applications to compartmental models from epidemiology too.
tpavlic.github.io/topic_visual...
Lately, I've been thinking a lot about multiscroll hyperchaos and different application spaces than the conventional image encryption case. To help discuss these the topic in general, I created this new primer (which doubles as a review of what is chaos).
tpavlic.github.io/topic_visual...
it's the way science goes: you try one thing, figure out what's happening, set a new course, and over time with lots of effort you can shed increasing light on important questions.
No private firm, Neuralink or otherwise, would ever have the patience or time horizon for this work.
And some of my work, along with the work of many other academic neuroscientists — funded by the public — is behind what Neuralink is doing. (TK (Takashi DY) Kozai Kip Ludwig and lots of others are here on Bluesky!)
Without NIH and public investment in science there is no Neuralink.
