Architecting the next generation of motion control. Eliminating the systemic "Thermal Tax" in electric actuators. Zero-latency proprioception for robotics.
Current motor control architecture is fundamentally broken. I’m pretty sure I’ve just architected the replacement.
Heat, latency, and vibration are not "physical constants"—they are symptoms of the current model.
I may have just eliminated the Thermal Tax and architected Real-time proprioception.
#Robotics #DeepTech #ElectricMotors #FutureOfMotion
@JoySam04 You can light a fuse to the volcano under there and then it will fill w land- but unfortunately due to water displacement Cali would go under water
The people who achieve the most success aren't the ones who never fall. They're the ones who get back up, learn, rebuild, and never give up.
Keep stacking.
@elonmusk My focus is first-principles motor-control architecture—not incremental PWM/FOC optimization. I’m preparing a patent-pending control architecture for its first hardware bench and would welcome discussion with engineers interested in validating unconventional control systems.
@ToddAultIII@hyperscaledata@ToddAultIII Already in 260k shares. When $GPUS runs it covers the patent costs on the motion-control work I’m building. Noticed Hyperscale has a robotics angle — if you’re ever looking at next-gen actuation / thermal elimination tech, my page is open.
-More in btc than market cap- before it even rally’s
-First delivery approaching
- Divestiture may take debt with it
- Using btc to fund compute
- High short position - will fund ATM you did of 300m when they gamma
-Guidance on 180-200m rev this year (not sure if will be profitable by year end)- 300m next year
- expansion of commute within 1yr
- fast 3 month delivery indicates your just converting mining and didn’t have to build out this first deal.
- stock held price at .12 well
- no RS needed because EBITA and catalysts above gets this over $1 and attracts institutional investors
- the only thing that’s loooms over this company head is historical dilution and fear of RS.
Why are we rushing to build multi-billion dollar data centers when the efficiency of local AI is skyrocketing?A high-end Mac with unified memory running a quantized LLM + local RAG solves the data privacy issue entirely, eliminates latency, and provides a massive context window for personal data. Best of all? Zero infrastructure cost to the AI provider.The future of consumer AI isn’t 100% in the cloud—it’s decentralized, localized, and running on user hardware.
You can't train frontier models on consumer edge hardware.
This isn't about training; it's an optimization play for inference. Keep the data centers for heavy-lift training, but offload the massive daily inference burden to the edge to solve the current energy grid bottleneck."
5k chip not needed?
That's why it's a tiered play. Mass consumer base stays on the cloud or low-end local (Macs), while enterprise/power users opt into the financed premium silicon tier. It still drastically reduces the aggregate load on centralized data centers."
Model architectures change too fast. The hardware will be obsolete in 18 months
That's exactly why the financing model works. Treat it like a smartphone upgrade cycle. The subscription covers software updates, and the financing plan rolls into the next-gen chip architecture every 2 years
When they deliver the MW in sept or btc goes up the short coverings will eat eat the ATM up and positive earnings in q4 plus likelihood of the deal opting for more MW send this flying. I don’t think they had to build out - they are just converting existing MW from mining- that’s why they were able to deliver in only 3 months. I also suspect the divestiture takes the debt with it