Ive seen the analogy that AI is to biological intelligence as airplanes are to birds. I think that’s appropriate. And furthermore, we find that when we make better airplanes they don’t become more bird-like. We are optimizing for something that biology didn’t optimize for. I think AI will be similar
Just as the field of ML has become a distinct discipline from statistics (but have a lot of overlap… it’s a continuum), I feel like there’s a new field of AI that is diverging from ML. Again they have a lot of overlap, but the study and use of these massive AI models feels like a new thing
2) The transition from statistical learning to agentic reasoning resembles the transition from explicit rules-based coding to statistical learning
Each transition will require an adjustment in how we approach our work
It seems that computational work is undergoing two simultaneous transitions that resemble transitions of the past: 1) The transition from coding in a programming language to describing via natural language (AI writes the code) resembles the transition from machine code to programming languages.
When trying to reason or prove something in a rigorous mathematical way as it relates to a real-world problem, most of the work seems to lie in developing the right formalism. Once the formalism is established, the math becomes "disinhibited" and flows more effortlessly.
Check out my recent talk on two tools I helped develop over the last few years (SpatialCorr and Monkeybread) for analyzing spatial transcriptomics data youtu.be/R8pEvndFHyo?...
Amazing (Here's the open access article: pmc.ncbi.nlm.nih.gov/articles/PMC...)
A nice interface to track the status of various NIH websites and resources given the recent instability: stats.uptimerobot.com/Zrqh8AhvKn
Great article! I’m from South Bend :)
Thrilled to share Stellaromics has raised $80M in Series B to advance 3D spatial biology & launch Pyxa! This groundbreaking platform enables unprecedented visualization & analysis of cells & molecules in thick tissue samples.
bit.ly/3QaGiRN
#Stellaromics #Pyxa #SpatialBiology
Thanks for your perspective
Makes sense. I thought the general idea of decreasing mobility as a contributor to weakening of democracy was a compelling hypothesis. Though the cause of the decrease in mobility is probably more complicated
I read the article more as interesting “food for thought” than a completely convincing case. What was its biggest weakness in your opinion?
Really interesting thesis: that the decline of American democracy and prosperity is driven largely by our declining mobility. www.theatlantic.com/magazine/arc...
Check out my recent talk on dimensionality reduction, where I try to lay out my thoughts on the topic: youtu.be/AuJzMnH78wM?...
And here’s a tool ResolVI, part of the sci-tools family, for accounting for it: www.biorxiv.org/content/10.1...
Glad to see this issue of cell segmentation errors affecting spatial transcriptomics analysis (which most users observe) is now being investigated thoroughly: www.biorxiv.org/content/10.1...
Much of my understanding came from his amazing video by 3Blue1Brown: www.youtube.com/watch?v=m2MI...
Here's a blog post on Euler's number: a constant I only ever partially understood despite it appearing in equations across all of math and science: mbernste.github.io/posts/eulers...
Saw this in a display at the MIT Museum, which is a great museum!
More of an art project than science project, The Pink Chicken project is thought provoking nonetheless pinkchickenproject.com#what
It’s crazy to me that this works
Cells don’t interact in just 2 dimensions—so why study them that way?
In 2D spatial analysis, critical interactions between cell types can be underestimated, leading to distorted biological insights.
#3DSpatial #SpatialBiology #research
Image from from Sui et al., bioRxiv
Cells transport proteins in membrane vesicles.
These vesicles are formed by self-assembled exoskeleton.
The exoskeleton scaffolds are cuboctahedrons made of proteins.
Life is amazing!
Bizarre story.
Genetic Analysis of a Sarcoma Accidentally Transplanted from a Patient to a Surgeon | New England Journal of Medicine www.nejm.org/doi/full/10....
“The competent programmer is fully aware of the limited size of his own skull. He therefore approaches his task with full humility, and avoids clever tricks like the plague.” ~ Edsger Dijkstra
Good software engineering requires understanding human cognition to reduce cognitive load. I think all the fancy paradigms are just ways to accomplish this.
minds.md/zakirullin/c...
As someone new to image analysis, I recently came upon this perspective that seems trivial, but is actually important: A pixel is a "point sample" and not a little square. A pixel is a data point, sampled from the world, like any other data point would be. pages.graphics.cs.wisc.edu/559-f14/2014...
I’ve seen your work showing the brittleness and misuse of these approaches. It’s very important work! Though I also think it’s really fascinating that such velocity information is there at all (even if it’s too noisy for practical application)
