
Peter
5.8K posts

Peter
@SPCXTSLA
Tesla investor since 2016, long term fundamentals 🇺🇸 DON’T PANIC 24/7 Livestream: https://t.co/fD4b8sfC1H










Cursor CEO Michael Truell on the future of writing code: "Our goal with Cursor is to invent a new type of programming." "It looks like a world where you have a representation of the logic of your software that does look more like English." "You can imagine kind of an evolution of programming language towards pseudocode. You have written down the logic of the software, and you can edit that at a high level." "It won't be the impenetrable millions of lines of code, it'll instead be something that's much terser and easier to understand and easier to navigate." @mntruell with @lennysan on Lenny's Podcast






I had a similar problem and my YouTube channel was also terminated, except mine didn’t have any of the nefarious content at all. I believe this was a very poorly executed mass takedown by YouTube because they were overwhelmed by fake content and they botched it and don’t have a real appeal process at all. Mine was simply the same livestream I have going on X right now (link in my profile), a new technology I’ve developed to livestream 24/7 the TSLA and SPCX share prices and live Robotaxi numbers with Elon quotes. I think they just mass terminated channels with livestreams related to SPCX if it had any possibility of being a scam, but legitamate content got caught up it in and there is no real appeal process. @teamyoutube you need to sort this out





Tesla's StarNet and Rodney Brooks' Long-Standing Vision of Embodied Intelligence Tesla's StarNet patent (US 2025/0292088 A1) may be one of the more underappreciated developments in the company's AI stack. Despite the name, StarNet has nothing to do with satellites. It describes a family of neural-network architectures designed to run efficiently on inexpensive edge hardware, including low cost 8-bit DSP chips. Through techniques such as star shaped convolutions, Star-Shuffle blocks, quantization aware design, and careful bit budget management, StarNet delivers useful AI performance in environments where traditional deep neural networks often struggle. In plain English: it seeks to bring capable AI to hardware that is small, cheap, and power efficient. Why might this matter for #Optimus? Humanoid robots require far more than intelligence. They require continuous physical competence. A robot must constantly adjust grip force, maintain balance, damp vibrations, compensate for wear, and react to unexpected disturbances. Many of these actions occur on timescales where latency, power consumption, and reliability matter as much as raw compute. This raises an intriguing possibility. If architectures such as StarNet eventually find their way into Optimus motor controllers, actuator electronics, or other edge systems, they could provide a layer of distributed intelligence throughout the robot's body. Rather than routing every decision through a central processor, local models could handle low level real time behaviors while higher level systems focus on planning and reasoning. The analogy in biology would be the relationship between spinal reflexes and conscious thought. Not every correction in human movement requires intervention from the brain. Much of our physical competence emerges from layered control systems operating at different levels of the nervous system. That idea has a familiar echo. For decades, MIT roboticist Rodney Brooks argued that intelligence is not merely a matter of building a larger central planner. Through his work on subsumption architecture and later robotics ventures, Brooks championed the view that robust behavior emerges from layers of interacting systems operating close to the physical world. His robots did not depend on perfect internal models. Instead, they responded directly to their environment through distributed behaviors. Brooks often emphasized that intelligence is embodied. A creature—or a robot—does not simply think. It senses, reacts, adapts, and moves through the world. Much of that capability resides not in a single decision-making center, but in the interactions among many smaller systems. Whether Tesla ultimately applies StarNet to Optimus in this manner remains an open question. The patent does not explicitly describe a robotic "reflex" architecture. Yet the underlying technology appears well suited to applications where low-cost, low-latency intelligence is required at the edge. If that direction is pursued, the result could be significant. The most capable humanoids may not emerge solely from ever larger AI models running on ever more powerful computers. They may emerge from combining powerful central reasoning with distributed intelligence throughout the body itself. Physical AI is not just about building bigger brains. It may also be about building smarter bodies. What do you think? Could architectures like StarNet become part of a decentralized nervous system for Optimus and if so, would #RodneyBrooks see it as the realization of ideas he began advocating decades ago?

🚨First time ever!🚨 Tesla Golden Cybercabs with Cybercab decals on both the sides, no steering wheels, no pedals, no wheel caps on a production site at Gigatexas, Austin✨ Our future is golden!! Go $TSLA 🚀 @Tesla @robotaxi

The implied volatility on those $SPCX options that open for trading tomorrow are going to be insane




