
Founder @ParasmaAI (YC S26) MSc AI @SussexUni Made some brain cells play Doom
Joined November 2019
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Introducing Parasma.
Previously, we trained human brain cells to play Doom.
Now, we trained them to predict words in a sentence. We are unlocking human brain cells for compute.
Learn more here: parasma.com/news/human-brain…
@ParasmaAI
A glimpse into the future!
This week’s Paper Club is all about alternative compute.
Modern AI has been shaped by a tight coupling between transformers, backpropagation, and GPUs. But as compute efficiency starts to plateau, there may be very different ways to build the machines that come next.
We explore what AI compute could look like beyond conventional digital hardware through optical systems that use light to perform computation, neuromorphic architectures inspired by the brain, and experiments teaching living brain cells to play Doom.
00:07 — @FrancoisChauba1: Why Alternative Compute?
03:38 — Beyond Backpropagation
08:08 — Zero-Order Optimization and SOMA
15:06 — Ilker Oguz: Computing With Light
19:27 — Why Optical Computing Isn’t Everywhere Yet
22:23 — Building a Diffusion Model With Light
30:03 — Optical Computing Q&A
39:00 — @AlokVasudev: What Is Neuromorphic Computing?
45:23 — What the Brain Can Teach Us About Chips
49:35 — Where Neuromorphic Computing Stands Today
54:24 — Neuromorphic Computing Q&A
1:04:24 — @vytalow: Teaching Brain Cells to Play Doom
1:07:48 — Training Biological Neurons With Reinforcement Learning
1:12:28 — How Brain Cells Learn From Feedback
1:15:40 — Biological Computing Q&A
Thanks for covering us!
From floating reactors to brain chips: VCs picked their favorite YC startups from the summer batch.
spr.ly/6016BGPi5K
Thanks for having me!
Parasma Founder & CEO @vytalow, who previously went viral for training human brain cells to play Doom, says that using them for compute could be far more energy-efficient than today's silicon chips.
"Regardless of how efficient we make silicon, we still haven't solved the efficiency aspect of it, in terms of power efficiency."
"I think human brains are extremely power efficient in comparison to silicon."
"There are things that we can harness [with human brain cells] on top of other stuff like sample efficiency and continual learning."
Parasma Founder & CEO @vytalow, who previously went viral for training human brain cells to play Doom, says that using them for compute could be far more energy-efficient than today's silicon chips.
"Regardless of how efficient we make silicon, we still haven't solved the efficiency aspect of it, in terms of power efficiency."
"I think human brains are extremely power efficient in comparison to silicon."
"There are things that we can harness [with human brain cells] on top of other stuff like sample efficiency and continual learning."
Happy Thursday. On today's show:
- @ibab (River AI)
- @branninmcbee (CoreWeave)
- @glangley (Flock Safety)
- @sonyatweetybird (Sequoia)
- @vytalow (Parasma)
See you on the stream.
SaaSpocalypse Revisited, DeepMind's Plan, Polestar Collapse, Aman vs Ryan Walker xitter.cf/i/broadcasts/1RKZzBBom…
unbelievably horrible take
This is exactly why @demishassabis shouldn’t have won the Nobel. No ingenuity or thought process. Just brute force from unlimited money, unlimited compute and unlimited staff (from Google).
Sean Cole retweeted
The current @ycombinator batch is very impressive. Almost half the founders are building hardware.
Back in my batch there were only 3 deep tech companies - @boomsupersonic, @Astranis and @relativityspace.
hiring an intern @ParasmaAI
- provably brilliant at information theory
- strong at RL
- excited about training brain cells
if ur a furry, neurodivergent, or have something unique to add please apply
point form, 60 words max, email careers [at] parasma [dot] com
Come work for us!
ycombinator.com/companies/pa…
i am hiring a research scientist @ParasmaAI starting at $1M + 1% equity.
parasma's mission is to train human brain cells for compute and apply what we learn more generally to biology
if you want to change the world with us, send something about yourself, email me or apply below
Apply here or email me at careers@parasma[.]com
ycombinator.com/companies/pa…
Sean Cole retweeted
A jar of living neurons just beat a top AI chip at learning. 5,000 to 1.
Chips can catch up by training in simulations faster than real time. But real robots can't speed-run reality.
In the physical world, neurons might actually win. That’s why Cortical Labs has been quietly building this future for years, running AI on living neurons instead of silicon.
Got accepted into the @ycombinator S26 batch as @ParasmaAI with no product, no revenue, no cofounder and not being from the US.
If you have a great idea, just apply!















