

Pneumatikos
669 posts

@theNMWC
Authentic Human. I recognize patterns & things. 🧶🧵🪡🪢





It’s clear that Americans want more daylight in the evenings and to end the biannual clock change. I’m excited to share that tomorrow, the House will vote on my Sunshine Protection Act to make DST permanent and bring it one step closer to becoming law. buchanan.house.gov/2026/07/13/buc…




He takes scamming to a whole new level






@MaryBowdenMD @DrLizaMD Do you have any evidence that no one knows how to do it, or is that just your anecdotal opinion? This maneuver is taught in all MD schools, as well as EM and neuro residency programs.


The Trump Administration is taking another major step to Make America Healthy Again. Alongside @SecKennedy and @epaleezeldin, we are announcing a new agreement to strengthen how our agencies work together to detect and reduce heavy metals and other contaminants in America's food supply. By modernizing testing, improving coordination, and increasing transparency, we're ensuring Americans can have even greater confidence that the food on their tables meets the highest standards of safety. Food security is national security, and protecting the health of American families will always be a top priority.









Grok 4.5 is looking like a success with help from Cursor data but underneath the surface we expect future Grok/Cursor model training is likely to speed up in the coming months. We've spent several months getting up to speed on the SpaceXAI business, especially the tech underneath it. The C rewrite was under appreciated by the investor community so we dug in to quantify its impact. including building a physics first model that functions as a stopwatch for the SpaceXAI model factory. Bottomline: C-rewrite gets SpaceXAI faster model cycles, leveraging 33% more tokens/second/GPU against SOTA competition resulting in the potential to shipping new models every ~3.5 weeks. two core learnings from this modeling exercise: 1: the training cycle speed up is primarily coming from RL (not pretraining) where the increased tokens/second/GPU advantage can shave up 2+ weeks off full model training cycle. 2: the rewrite itself should compound the time savings as model sizes grow. at ~2T shaving off 2-3 weeks, ~8 weeks at 6T, and 15 weeks at 10T. Note: a 20T parameter model likely runs into a data bottleneck prior to a training speed bottleneck but the directional advantage stands. Also we assume tokens/second/gpu advantage will melt over time as competitors try to match it. when you do the math, in true SpaceX and Elon fashion, it looks like they are attempting to build a SOTA model factory that can pump out bigger models faster than anyone else. Full analysis here for the public: research.33fg.com/analysis/what-…