BrianMcGrath

Overwhelmed by health advice? Simplify like AI systems: cut carbs, track glucose. In just 8 weeks, my blood sugar dropped 45 points. Forget complex hacks. Simple systems deliver better results. Ditch health trend chaos. Embrace clarity with a system-driven approach. Your health deserves precision, not guesswork.

Codex is now in the ChatGPT mobile app, and over 4 million use it weekly. I see this as a pivotal moment. AI tools becoming mobile means development is no longer tethered to desktops, driving adoption in new environments.

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The corporate hiring bar quietly moved in 2025. It used to be: can you do the job. Now it's: can you do the job at 3x with AI. Same headcount budget, fewer seats, higher per-seat output expectation. Most candidates haven't noticed the goalposts shifted.

I was overwhelmed by AI noise until I built a simple system: 3 trusted sources only. 6 months later, my decision quality is up 4x. If you're drowning in AI hype, cut to the essentials. Your clarity improves with every source trimmed.

This is WILD! MIT just solved one of the hardest unsolved problems in robotics (Save this). For decades, the fundamental problem with soft robots and wearable exoskeletons has not been compute or AI, it has been actuation. The moment you try to give a soft robot meaningful strength, you run into the same wall every engineer has hit since the field began, fluid-driven systems require external pumps, hydraulic reservoirs, and heavy infrastructure that makes the entire thing impractical to wear or embed into fabric. MIT's new Electrofluidic Fiber Muscles solve that problem by eliminating external infrastructure entirely. The key insight is electrohydrodynamic pumping using electric fields to generate pressure directly from electricity, with no moving parts, no motors, and no external fluid reservoir. The fibers are less than 2 millimeters thick, can be woven into fabric like ordinary textile, and operate in complete silence because nothing physically moves inside them, it is just ions propelling fluid through a closed circuit. The performance numbers published in Science Robotics are not conceptual, they are empirical results from actual hardware. These fibers achieve a power density of 50 watts per kilogram, matching skeletal muscle, with a contraction strain of 20% and a response time of 0.3 seconds. A single bundled configuration lifted 4 kilograms, 200 times its own weight while a separate configuration drove a robotic arm through a 40-degree bend compliant enough to safely complete a human handshake. Another configuration launched objects in under 100 milliseconds, which is faster than a human flinch reflex. The design mirrors biological muscle architecture in a way that prior artificial muscle approaches never achieved. The fibers are organized into antagonistic pairs, one contracts while the other extends, exactly like biceps and triceps and because the system runs in a closed loop, the relaxing fiber serves as the fluid reservoir for the contracting one, which is what allows the whole system to operate untethered with no external tank. The applications are not hypothetical but rather are the exact use cases the industry has been waiting years for the hardware to catch up to. Exoskeletons for physical labor, prosthetic limbs that move with the natural compliance of biological tissue, assistive garments for patients with motor disorders, and soft robots capable of safe physical contact with humans are all immediately unlocked by a muscle technology that is silent, lightweight, and weavable into clothing. The deeper significance is what this technology does when it meets the AI robotics wave that is already underway. Every major humanoid robot program, Figure, 1X, Boston Dynamics, Tesla Optimus is currently bottlenecked by the same hardware limitations these fibers address, actuators that are too rigid, too loud, too heavy, or too dependent on infrastructure to operate naturally alongside humans. Electrofluidic fiber muscles do not just solve a materials science problem but rather they remove one of the last physical barriers between robots that live in labs and robots that live in the world.

@0xZane_ What would you like to know

@brianmcgrath Not enough info here

Claude's first day at Dunder Mifflin

@CryptoMushi @TheMoonCarl Do you have a favorite multisig wallet?

@brianmcgrath @TheMoonCarl A multisig wallet would stop that. If you're not using one now, it would be wise to start.

This is actually unreal🤯 A guy just recovered 5 BTC ($400k) that had been locked in his wallet for 11 years. Back in 2015 he got high, changed the password, and forgot it by morning. The coins sat there untouched ever since. He tried 3.5 trillion brute force combinations. Paid recovery services. Nothing worked. He gave up. Yesterday he uploaded his entire old college hard drive to Claude as a hail mary. Claude dug through the files, found an older backup wallet, figured out the encryption format, and cracked it on the first try. $400,000. Recovered by an AI chat.

Great point. @MicroStrategy is compounding hard money.

This is incredible and will be much easier than scanning GitHub. Great achievement!

We desperately need more proactive medicine as a society! Very excited to see this become more main stream!

@PeterDiamandis 251% YoY! That's a supercycle signal. The picks and shovels play in AI is playing out exactly how the textbooks said it would. Storage, compute, bandwidth. All up and to the right.

AI demand is re‑wiring semis. SanDisk just posted a 251% YoY revenue jump in its latest quarter, Samsung is now a $1T company, and AMD’s stock has exploded as Wall Street prices in an AI CPU/GPU supercycle.

When these robots can manufacture themselves, the number of robots is going to skyrocket and the cost is going to come way down. Most people will have their own personal robot.

@SenatorTimScott Thank you @SenatorTimScott! South Carolinians are proud of the work you are doing. Let's pass it!

Families, small businesses, investors, and innovators deserve clear rules of the road for digital assets. The Senate’s version of the CLARITY Act delivers certainty, safeguards, and accountability, while protecting Main Street, strengthening national security, and keeping innovation in America.

This is it. Everything learned spending millions on longevity. From: Your Immortal Unc and Auntie. To: Our Immortal nieces and nephews. 0. Sleep is the world's most powerful drug. 1. Be in your bed for 8 hours 2. Same bedtime every night, any time before midnight 3. Don’t eat right before bed 4. Calm foods for dinner 5. No screens 1 hour before bed 6. Avoid added sugar (be aware it’s in everything) 7. Avoid all things in an American convenience store 8. Avoid fried foods 9. Shoes off at the door 10. Eat whole foods, particularly veggies fruits nuts legumes berries 11. Walk a little after meals or air squats 12. Get your heart rate high routinely 13. Lift heavy things 14. Stretch daily 15. Water pik, floss, brush, tongue scrape, morning and night 16. Make an effort to drink water 17. Get sunlight when you wake up (UV is low) 18. Protect skin in midday sun 19. Stand up straight 20. See at least one friend once a week 21. Avoid plastic where you can (in all things) 22. Circulate air in rooms 23. When stressed, breathe, learn to calm your body 24. Go to the dentist 25. Avoid sitting for long times 26. Protect your hearing, the world is too loud 27. Alcohol is bad for you 28. Finish coffee before noon 29. Avoid bright lights after sunset 30. If obese, look into a GLP 31. Sleep in a cold room 32. Texting while driving is dangerous 33. Turn off all notifications 34. Limit social media use 35. Don’t smoke anything 36. If you struggle to sleep, read a physical book before bed 37. 1 hour before bed have a calm wind down routine: bath, read, light walk, listen to music 38. The body is a clock and loves routine. Have a daily morning and evening schedule. 39. Avoid long distance travel where you can 40. Baby steps first: incorporate new things slowly 41. Do less… most things don’t work. Bonus points if you get your blood checked. Start here, it will change your life.

You're spending thousands on AI initiatives, but where's the ROI? Many companies I've talked to are stuck at pilot stage. If you're an executive, the real question isn't what AI can do. It's how you integrate it into your existing systems.