Microsoft’s new WSL Containers feature brings a familiar Docker-like CLI and a native Windows API for running Linux containers through WSL.
https://t.co/XByaK9TSet
#Containerization#WSL#OpenSource
Creatine is amazing
UCLA researchers found that creatine helps dendritic cells, the immune "scouts" that detect tumor material and activate killer T cells.
In mouse melanoma models, creatine treatment increased dendritic cell activation, improved immune signalling, and slowed tumor growth.
Human cell tests also showed stronger activation and better T-cell stimulation.
The 7-second cold wrist rinse was tested on 3,000 soldiers after combat simulations.
Cortisol dropped 52% within 90 seconds. Heart rate fell an average of 22 beats per minute. The Navy classified the protocol in 2009 and kept it secret until 2023.
The mechanism is radial artery cooling. Your inner wrists have the thinnest skin and the largest surface-to-volume ratio for blood vessels. 7 seconds of cold water cools the blood passing to your brain, which signals your hypothalamus to downregulate stress instantly
You've splashed cold water on your face. You've taken cold showers. Both work, but they're inconvenient.
The SEAL protocol takes 7 seconds, requires no undressing, and can be done at any sink. Soldiers used it before night missions to fall asleep fast.
The military classified this because a free 7-second stress fix would reduce demand for combat stress medication ($400M annually).
The 2023 declassification came after a FOIA lawsuit filed by a veteran.
The fix: run cold tap water over your inner wrists for 7 seconds. Both wrists. Do it when you feel a stress spike.
Within 90 seconds, your heart rate will drop. No shower, no ice.
Just 7 seconds.
What I love about this news is that this is not simply a new pancreatic cancer drug. It’s that KRAS, one of cancer biology’s most notorious undruggable targets, has finally become druggable.
A powerful reminder that persistence in science can eventually unlock the impossible.
El mundo guarda silencio ante la horrible masacre de perros en Marruecos. El rey ordenó la eliminación de todos los perros antes del Mundial de 2030 (3 millones de perros callejeros).
Métodos:
- Dispararles en las calles
- Envenenarlos
- Quemarlos vivo
- Ahogárlos en jaulas
"A night I’ll never forget. -40°C outside, but inside this ice dugout, I found a different kind of warmth. Luna, a wild snowy owl, joined me for shelter. No fear, no control just two living things surviving the polar dark together. Nature doesn’t need a language to find peace."
I Went From $3,000/Month on Claude to $5/Week on DeepSeek
And honestly? 80% of my work is identical.
For the past two months, I was burning $3-5K monthly on Claude Code. Every idea from design to development to testing - full end-to-end automation, even simulating users to test my products and provide feedback.
Extremely token-intensive. But Claude's caching sucked, making it insanely expensive.
Then I discovered DeepSeek V4.
The numbers:
• Claude: $5 input, $25 output per million tokens
• DeepSeek: $0.28 input, <$1 output (with their current discount)
• DeepSeek cached: $0.0002 - literally less than a penny
The caching optimization is game-changing. Once DeepSeek has seen content, it basically stops charging tokens.
My result: $5/week vs $1,000/week for the same workload.
What works exactly the same:
• UX modifications
• Product development
• Competitor research
• Content writing
• Code reviews
Where Claude still wins:
• Complex architectural decisions
• Extremely nuanced problems
But here's the thing - Claude has been getting dumber recently. It often says "done!" when it's clearly not done. Then apologizes but still doesn't finish the work.
My current stack:
• DeepSeek V4 Flash/Pro for 80% of daily work
• Codex 5.5 for the hardest problems (more reliable execution)
• Claude Code occasionally (because I already paid for it 🤷♂️)
DeepSeek is also 3x faster than Claude. For tasks like "compare these repos" or "read this long document," DeepSeek finishes instantly while Claude takes 3+ minutes.
Fun fact: I heard DeepSeek's speed comes from both optimization and gradually switching to Chinese chips (Huawei). If that's true, we might see even better performance later this year.
Everyone's betting on Anthropic's rising valuation in secondary markets. But when 80% of daily dev work can be done faster, better, and cheaper by open-source models...
Is Anthropic guaranteed to be the final winner? I think it's too early to call.