Just released heerich.js, a tiny voxel engine that renders 3D scenes to SVG 🎨
╬ Boolean ops
◮ Oblique & perspective
𝑥 Zero dependencies
◌ Pure vector output, infinite scaling
Named after Erwin Heerich's geometric cardboard sculptures.
Ever wonder what a nervous system would look like if it self-assembled inside a novel being that hadn't faced a history of selection for its organism-level form and function? Or, perhaps you wondered how #Xenobots would look and act, or what their transcriptome would be like, if they had nervous systems?
Well, here's the first step: https://t.co/MVtFw0RcQg
"Engineered Living Systems With Self-Organizing NeuralNetworks: From Anatomy to Behavior and Gene Expression"
Our awesome team: led by @halehf: @LaurieONeill99, @mmsperry, @LPiolopez, @DrPatrickE, and Tiffany Lin.
The @TuftsUniversity and @wyssinstitute press releases are here, for summaries:
https://t.co/PQkBfUFZS5
https://t.co/LPwoLPeBqN
I think one of the conclusions we should draw from the tremendous success of LLMs is how much of human knowledge and society exists at very low levels of Kolmogorov complexity.
We are entering an era where the minimal representation of a human cultural artifact... (1/12)
POV: A guy with ChatGPT and Google AlphaFold just built a custom mRNA cancer vaccine to save his dog.
this story is actually insane.
a tech guy in australia adopted a rescue dog with aggressive cancer and only months to live.
so he did something wild:
> paid ~$3k to sequence the tumor dna
> used chatgpt to analyze the mutations
> used google’s alphafold to model the proteins
> identified drug targets and designed a custom mRNA cancer vaccine
he had zero background in biology.
after months of paperwork, the vaccine was approved and injected.
within weeks the tumor shrank dramatically and the dog started recovering.
meanwhile pharma companies are running $1B trials to do the exact same thing.
the future of personalized medicine with AI is going to be insane.
There's a fruit fly walking around right now that was never born.
@eonsys just released a video where they took a real fly's connectome — the wiring diagram of its brain — and simulated it. Dropped it into a virtual body. It started walking. Grooming. Feeding. Doing what flies do.
Nobody taught it to walk. No training data, no gradient descent toward fly-like behavior. This is the opposite of how AI works. They rebuilt the mind from the inside, neuron by neuron, and behavior just... emerged. It's the first time a biological organism has been recreated not by modeling what it does, but by modeling what it is.
A human brain is 6 OOM more neurons. That's a scaling problem, something we've gotten very good at solving. So what happens when we have a working copy of the human mind?
🎵 OpenAI introduces Symphony
"Symphony turns project work into isolated, autonomous implementation runs, allowing teams to manage work instead of supervising coding agents."
Check it out, seems cool: https://t.co/rXAeh9qSr8
Demis Hassabis’s “Einstein test” for defining AGI:
Train a model on all human knowledge but cut it off at 1911, then see if it can independently discover general relativity (as Einstein did by 1915);
if yes, it’s AGI.