In weightlessness, water can take forms that are not possible under normal gravitational conditions. One example being thin sheets, 500 microns thick, formed in a wire loop like in a soap film but here as pure water with no surfactant.
Harvard researchers had 12 people read on an iPad for 4 hours before bed.
For 5 nights straight.
Then they measured what happened to their brain chemistry.
Here's what screens before bed are really doing to your body:
our mom was right. it’s the damn phone.
2 weeks without internet can reversed 10 years of cognitive decline.
checking our phone 200 times per day is literally shrinking our brain. we know this but we’re addicted.
A Heidelberg University study restricted phone use for just 72 hours.
Brain scans before. Brain scans after.
The researchers were stunned by what they found.
Here's what 3 days without your phone actually does to your brain:
Anthropic themselves found that vibecoding hinders SWEs ability to read, write, debug, and understand code.
not only that, but AI generated code doesn’t result in a statistically significant increase in speed
don’t let your managers scare you into increased productivity. show them this paper straight from Anthropic.
I believe DARPA just launched the most audacious bioengineering program of the decade & nobody’s talking about it loud enough
I spent hours reading through the Generative Optogenetics program documentation & honestly I’m still processing the implications of what they’re trying to build
this is about creating molecular machines that can be expressed in living cells to translate optical signals directly into DNA and RNA sequences on demand
think about what this means…. you shine specific wavelengths of light at a cell & it writes its own genetic code in realtime without any external DNA delivery no viral vectors no CRISPR cassettes just light triggering nucleotide incorporation based on photon wavelength
this is a FOUNDATIONAL shift in how we interface with biology bc right now if you want to deliver genetic instructions to cells you need massive supply chains synthesis facilities cold storage delivery mechanisms that break down over distance
DARPA GO wants to turn living cells into programmable biological systems where you can transmit genetic information massively via optical signals & the cell synthesizes the exact sequence you need using its own machinery
the implications are absolutely wild :
single-cell spatial resolution temporal precision to deliver different messages sequentially remote scalable dissemination of genetic instructions
Imagine regenerative medicine where you shine light patterns on damaged tissue & cells reprogram themselves in situ
manufacturing where bacterial cultures synthesize complex molecules on command via optical programming
agriculture where crops adapt their genome in response to environmental light signals…
what fascinates me most is that this high risk program acknowledges we’re building a direct interface between computers that design genetic sequences and living cells that execute them
we’re not just editing genes anymore we’re creating a bidirectional communication protocol between silicon & carbon where light becomes the universal language
If GO succeeds it unlocks programmable biology at a SCALE
we’ve never seen before this is how you get to foundational capabilities for extended spaceflight for on demand therapeutics for manufacturing without brittle supply networks
this is the kind of moonshot that changes EVERYTHING
Big new blogpost!
My guide to data visualization, which includes a very long table of contents, tons of charts, and more.
--> Why data visualization matters and how to make charts more effective, clear, transparent, and sometimes, beautiful.
https://t.co/hDQhDL5rR1
So, M-Tiba got hacked and according to the hackers, Kazu, the data leak contains 17,158,105 files and is 2.15TB in size.
They have provided a sample of ~2GB that contains patients diagnosis data by the health providers, and PII leak for Kenyans who use that.
Here's a thread.
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Managed to try it with an old repo, just Before 12k pull, so happy with the model. Very practical given I have not used the quantized version. The model is really an edge-device first model. Thanks Google :)