juan 🌑 retweetledi
juan 🌑
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Earth may now be outside the “safe operating space” for humanity, research from 2023 finds.
Learn more on #EarthDay: scim.ag/3S5jzY0

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How can a single cell learn without a brain? We explore this in my new paper with @WallaceUcsf! We discovered that single cells may learn using molecules similar to those that animal brains use to learn, like CaMKII. Cells can also propagate memory states to their progeny! 🧵1/n
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Today in The Science and Experience of Energy we explore our energetic origins.
We cover a special issue of papers on the evolution of the mitochondrial genome (mtDNA), explaining what made all of multicellular life possible.
We come from a bacterial evolutionary merger—pretty humbling.
martinpicard.substack.com/p/the-rise-of-…

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Excited to share our new review in @CellBiomat @CellPressNews on how AI is reshaping antibiotic discovery.
We review predictive and generative approaches for discovering both small-molecule antibiotics and antimicrobial peptides—from screening and optimization to de novo design—highlighting protein language models, GNNs, current challenges, and future opportunities.
Great collaboration with Jing Xu, Chen Li, Xiaoyu Wang, Anton Y. Peleg, @supercs08 @MonashUni, Fuyi Li, @UniofAdelaide, @Penn, @PennBioeng, @PennEngineers, @PennMedicine, @PennChemistry, @CBE_Penn, @PennMicro, @PennPsych, and @PennSAS
sciencedirect.com/science/articl…

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juan 🌑 retweetledi

Two neurons having a chat
World of Science@Science_TechTV
neuron trying to connect to other neurons
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The hill I will die on - we have to rethink graduate training.
“Scientists are trained for a world where data speaks for itself. Where misinformation moves slowly. Where scientific expertise naturally rises above noise. That world is gone.”
sciencepolitics.org/2026/03/18/wer…

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juan 🌑 retweetledi

🎉 After one year of teamwork, we are excited to release our 3D foundation model — LingBot-Map!
Unlike DA3/VGGT, LingBot-Map is a purely autoregressive model for streaming 3D reconstruction ⚡
It achieves ~20 FPS on 518×378 resolution over sequences exceeding 10,000 frames — and beyond 🚀
Two key insights behind LingBot-Map:
🔑 Keep SLAM's structural wisdom: build Geometric Context Attention with long-context modeling while maintaining a compact streaming state
🔑 Make everything end-to-end learnable — no optimization, no post-processing
Let's check out our demos 👇
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For decades, biology textbooks have enshrined a simple rule: DNA is made by copying a template. After one enzyme unzips a DNA double helix into separate strands, another called a polymerase builds a complementary sequence, base by base, for each strand. Presto: two copies of the original DNA.
But new research into how bacteria defend themselves from viruses now shows this synthesis rule isn’t absolute.
Now, a team describes a bacterial enzyme that synthesizes DNA without a nucleic acid template, using its own structure as a guide.
Learn more: scim.ag/4tN5TBR

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🚨BREAKING: Two researchers from UPenn and Boston University just published a paper that should be uncomfortable reading for every CEO automating their workforce right now.
The argument is straightforward. Every company replacing workers with AI is also eliminating its own future customers. Laid off workers stop spending. Enough of them stop spending and nobody can afford to buy anything. The companies that fired everyone end up selling into an economy with no purchasing power left.
Every executive can see this. The math is not complicated. But here is why nobody stops.
If you do not automate, your competitor does. They cut costs, lower prices, take your market share, and you collapse anyway. So every company automates knowing it is collectively destructive because the alternative is dying alone while everyone else survives. The researchers proved this is a Prisoner's Dilemma playing out in real time.
The numbers are already moving. Block cut nearly half its 10,000 employees this year. Jack Dorsey said AI made those roles unnecessary and that within the next year the majority of companies will reach the same conclusion. Salesforce replaced 4,000 customer support agents with AI. Goldman Sachs deployed a coding tool that lets one engineer do the work of five. Over 100,000 tech workers were laid off in 2025 and AI was cited as the primary driver in more than half those cases. 80% of US workers hold jobs with tasks susceptible to AI automation.
The researchers tested every proposed solution. Universal basic income does not change a single company's incentive to automate. Capital income taxes adjust profit levels but not the per-task decision to replace a human. Collective bargaining cannot hold because automating is always the dominant strategy.
They also identified what they call a Red Queen effect. Better AI does not solve the problem, it accelerates it. Every company chases faster automation to gain market share over rivals but at the end everyone has automated equally, the gains cancel out, and the only thing left is more destroyed demand.
The one thing the math says could work is a Pigouvian automation tax. A per-task charge that forces companies to account for the demand they destroy each time they replace a worker.
The conclusion is that this is not a transfer of wealth from workers to owners. Both sides lose. Workers lose income. Companies lose customers. It is a deadweight loss with no market mechanism to stop it on its own.

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Scientists have long pulled DNA from water and soil, but they have only just started to see the air as a source of genetic information
go.nature.com/4c90Rd8
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built “Palantir for Family Trips” for our Yosemite weekend with friends
it has:
- route playback and convoy tracking
- meal logistics
- family readiness + expense tracking, and
- a full ops timeline for mission success
absolutely unnecessary, but worked surprisingly well
(repo 🔗below)
fabian@fabianstelzer
Palantir, but for organizing children’s birthday parties who’s building this?
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🚨Why can’t mammals regenerate limbs like frog tadpoles or salamanders?
In our new paper in @ScienceMagazine, we show that species-specific oxygen sensing acts as a gatekeeper for initiating limb regeneration 🐭🐸
🔗 science.org/doi/10.1126/sc… #EvoDevo
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NSA supports @FBI PSA on Russian GRU cyber actors exploiting routers. Take action today to stay secure.
To learn more and for best practices, read NSA’s press release.
nsa.gov/Press-Room/Pre…
#Cybersecurity #NSA #NetworkDefense #RouterSecurity
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"103 heterologous proteins were measured for their expression, as measured by split-GFP tag, and their degradation, as measured by -/+ Clp ratio."

bioRxiv Synthetic Biology@bioRxiv_synbio
Expression landscape of heterologous enzymes in Synechocystis sp. PCC 6803 biorxiv.org/content/10.648… #biorxiv_synbio
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PoolParty: streamlined design of DNA sequence libraries in Python biorxiv.org/content/10.648…



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