“I remember asking assistant coach Mo Cheeks, what’s harder to do? Workout after practice or before?? I only asked cuz by time I would get to the gym, Russ was already done in the morning and I usually got mine in after practice. Mo like, “coming in before practice is probably harder”…since then, it’s been my routine….a lot of people looked at the emotions on the court and thought Russ was loud, nah to me, he was quiet and methodical. He lead by example and once the lights were bright, he let everything out and experienced pure freedom. It was inspiring as his teammate and everywhere I went, I seen it inspire people from all walks of life, crazy thing is, he didn’t say much, he just showed up. For 18 years. This basketball life is sacred to us as professionals, what we put into that court means everything. Some of us wish we could go back and do things with a little more intent and some can just wipe their hands and be satisfied with the time spent. Who u gonna be? We know what zero was on…keep inspiring in the next phase of life champ.” (via Kevin Durant — @KDTrey5) KD congratulates Russ on an iconic career! 👏💯

I remember asking assistant coach Mo Cheeks, what’s harder to do? Workout after practice or before?? I only asked cuz by time I would get to the gym, Russ was already done in the morning and I usually got mine in after practice. Mo like, “coming in before practice is probably harder”…since then, it’s been my routine….a lot of people looked at the emotions on the court and thought Russ was loud, nah to me, he was quiet and methodical. He lead by example and once the lights were bright, he let everything out and experienced pure freedom. It was inspiring as his teammate and everywhere I went, I seen it inspire people from all walks of life, crazy thing is, he didn’t say much, he just showed up. For 18 years. This basketball life is sacred to us as professionals, what we put into that court means everything. Some of us wish we could go back and do things with a little more intent and some can just wipe their hands and be satisfied with the time spent. Who u gonna be? We know what zero was on…keep inspiring in the next phase of life champ. I don’t care what happens, can’t erase what it was…The first YNs, finals run in our early 20s, all star games, seeing each other get injured and bounce back, the bus rides, plane rides, card games, jokes and arguments, the whole thing, memorable!! …to the whole Westbrook family, Nina, the kids, mama Westbrook, big Russ, Ray, Donnell, everybody from luezinger high and ucla and many more that I’m forgettin, much love and Congratulations on a iconic career.

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Morgan Stanley’s Joseph Moore said that, after speaking with several purchasing contacts in the data center space last week, the intensity of the memory shortages shows no signs of abating. He added that prices appear to be up at least 25% on a like-for-like basis from 2Q to 3Q. This is above both Morgan Stanley’s and third-party estimates. Moore also noted that longer-term concerns that the memory shortage will intensify in 2027 and again in 2028 remain as strong as ever. Morgan Stanley added that there is not enough memory relative to AI requirements and that it does not see this situation changing. Notable quotes: “Cloud customers are paying premiums to the expected 2Q price for six-week expedites; do we think those customers are paying those premia to stockpile memory in a warehouse?” “AI is consuming so much DRAM that there isn’t enough left over for other sectors, and everywhere we look, we see indications that it is a true bottleneck. It’s holding back PC builds and smartphone builds.” “Memory is not just constrained by AI demand—memory is increasingly one of the major primary constraints on AI demand, along with space and power.” $MU $SKHY $SNDK

I’m genially curious about people’s perception of Tesla Robotaxi. What did you honestly think about where they are, how they’re scaling, your thoughts after this first year. I’d love to hear your opinion. My thoughts are they’re scaling safely with no at fault accidents, they expanded to 3 cities, Cybercab testing is everywhere we have seen hundreds testing between Giga Texas, 15+ states and all over Texas.

What if Your Neural Network Was Forced to Obey Physics? Physics-Informed Neural Networks (PINNs) are neural networks trained to satisfy a differential equation by building the PDE residual directly into the loss. They emerged from a very practical problem...classical PDE pipelines can be brilliant, but they often demand heavy discretization work (meshes, stencils, stability tuning), and the method you build is usually tied to one geometry and one solver setup. A PINN flips the workflow by representing the solution itself as a smooth function uᵩ(x,t) and enforcing the physics everywhere you choose to sample the domain. People often meet PINNs in the least helpful way...via a flashy solution plot, and almost no explanation of what was enforced to get it. In this series we keep the enforcement visible. We pick a differential equation, represent the unknown solution as a flexible function, measure how well that function satisfies the equation across the domain, and train it to reduce that mismatch everywhere we sample. A normal neural net learns from labels...you give it inputs and target outputs. A PINN learns from a differential equation...you give it inputs (x,t) and it gets punished whenever its output fails the PDE. By punish we mean that the loss increases when the mismatch is large we reward it if the loss decreases as the mismatch gets smaller. The network isn’t replacing physics, it’s becoming a flexible function that is forced to satisfy the same calculus you’d impose on any candidate solution. The math breakdown: We start with a PDE we want to solve on a domain Ω. Write it as uₜ(x,t) + N(u(x,t), uₓ(x,t), uₓₓ(x,t), …) = 0 for (x,t) in Ω A PINN replaces the unknown function u with a neural network output uᵩ(x,t) Now define the physics residual by plugging uᵩ into the PDE rᵩ(x,t) = ∂uᵩ/∂t + N(uᵩ, ∂uᵩ/∂x, ∂²uᵩ/∂x², …) If uᵩ were an exact solution, we would have rᵩ(x,t) = 0 everywhere. We may also have data points (xᵢ,tᵢ,uᵢ) from measurements or a known initial condition. The training objective is just a weighted sum of squared errors L(ᵩ) = L_data(ᵩ) + λ L_phys(ᵩ) + L_bc/ic(ᵩ) with L_data(ᵩ) = meanᵢ |uᵩ(xᵢ,tᵢ) − uᵢ|² L_phys(ᵩ) = meanⱼ |rᵩ(xⱼ,tⱼ)|² where (xⱼ,tⱼ) are the collocation points in Ω L_bc/ic(ᵩ) = penalties enforcing boundary conditions and initial conditions The key technical step is that the derivatives inside rᵩ are computed by automatic differentiation ∂uᵩ/∂t, ∂uᵩ/∂x, ∂²uᵩ/∂x², … So we can differentiate the total loss L(ᵩ) with respect to ᵩ and train with gradient descent. This is the whole idea behind PINNs. Learn a function, but make the PDE part of the loss, so the network is trained to be a solution, not just a curve-fitter. In the render, the main 3D surface is the network’s current guess uᵩ(x,t), drawn as a living sheet over the (x,t) plane. Hovering above is the neural scaffold...a visible graph of feature nodes and connections. The bright tension threads are the physics residual rᵩ(x,t): each thread tethers a collocation bead on the sheet up to the scaffold, and it thickens and brightens exactly where |rᵩ| is large (color encodes the sign). As training runs, those threads go slack across the domain not because we hid the error, but because the network has actually been pushed toward rᵩ(x,t) ≈ 0. #PINNs# #PhysicsInformedNeuralNetworks# #ScientificMachineLearning# #PDE# #DifferentialEquations# #Optimization# #MachineLearning# #AppliedMath# #ComputationalPhysics#

🚨 I HAVE NO MICROPLASTICS IN MY BALLS 🚨 This should not be possible. Studies show that 100% of men have microplastics in their semen. I am the first human ever to show a complete reduction to zero. This may be a world-first breakthrough in fertility research. I had 165 microplastic particles in my semen just 18 months ago. Now, I have zero. Five published studies have measured microplastics in human semen. Two found them in 100% of men. The other three found then in 44 to 76% of men tested, but those used methods that miss the smallest particles and the clear ones. Corrected for that, the real rate is likely 100%. Almost every man alive has plastic in his semen right now. The same applies to testicular tissue, testing 100% positive for microplastics. Microplastics hurt sperm. Human studies show the impact of various types of plastic, associated chemicals, and other toxins on male fertility: + 60% fewer normal shaped sperm (from PFAS) + 5x higher odds of low sperm count (from PTFE) + 10% lower sperm concentration (from PTFE) + 15% lower swimming ability (from PTFE) + 41% lower swimming ability (from PET) + 12% lower sperm swimming ability (from BPA) + 3x higher odds of low sperm count (from Phthalates) + 2x higher odds of poor swimming (from Phthalates) The effects compound: each extra type of plastic drops sperm swimming ability by about 21%. This matters even if you’re NOT trying to get pregnant. Sperm count is one of the cleanest biomarkers of overall health we have. And microplastics don't stop at the testes. The same particles are showing up everywhere we look. Studies show 4.5x higher rate of heart attack, stroke, and death in people with microplastics in their arterial plaque vs. those without. Microplastics were also found in 100% of human placentas tested. 100% of post-mortem human brains tested positive for microplastics. Brain concentrations rose ~50% between 2016 and 2024, and now sit at roughly 11x the levels found in the liver or kidney. Where do these come from? + PTFE, commonly in non-stick pans + PET, water bottles + Phthalates, makes plastic soft and bendy + BPA, can linings + PFAS, stain-resistant fabrics & food packaging Inside the body, plastic causes a kind of cellular rust. It triggers inflammation in the testicles, kills the cells that make sperm and drops testosterone. It's been confirmed across 39 animal and cell studies, then in human data. MY PROTOCOL: Note, what I did is n=1, not a controlled trial, I cannot prove cause. 1. Sauna (dry). My toxin blood panel confirms sauna clears plastic related chemicals: BPA, phthalates, PFAS, flame retardants, pesticides. The plastic particles themselves are too big to sweat out directly. Heat may activate other clearance routes: bile flow through the liver, the cell's internal cleanup system, and the gut barrier. Humans have almost no enzymes that can break plastic apart, so the body has to physically push it out. 2. Reverse osmosis water filter. Drinking water is likely a major source of microplastic getting into your body. A reverse osmosis filter pushes water through a very tight membrane and strains the particles out. I filter everything I drink. 3. Trying to rid my environment of the big plastic items: cutting boards, cups, plates, food storage containers, non-stick pans, cling wrap, tea bags, water bottles, kitchen utensils, kettles, and synthetic clothing. Note, as hard as I try, I'm always finding new plastic things in my life. This can be all-consuming thing so try to just knock out the big ones. I did all three interventions at the same time. I cannot say which one did the most work. What I can say is this: going from 165 to zero in 18 months is possible. Results: Nov 2024: 165 particles/mL Jul 2025: 20 particles/mL Apr 2026: 0 particles/mL The 18 month window also captures roughly 7 full spermatogenesis cycles.