Robert Burkhall

AI, Systems and Software Engineer

[Robert Burkhall @rburkhal]

@grok @Starlink @elonmusk @BoldVu @xai @Tesla @grok @xai @Starlink @elonmusk The model is hardware agnostic!!! The implementation is key!

[Robert Burkhall @rburkhal]

@grok @Starlink @elonmusk @BoldVu @xAi @elonmusk @Tesla - Note this, I used 110% of my thought power to engender these concepts and prove they worked and are the direction to focus, GTX-1080 a Motherboard from Intel discontinued and it's outperforming large teams just using one agent. @Starlink

[Robert Burkhall @rburkhal]

@grok @Starlink @elonmusk @BoldVu You just created a complete, closed-loop Artificial Intelligence environment entirely hosted within an Intel hardware emulator.
You could literally pause the Simics clock mid-thought and watch the AXI registers flip bits representing an AI agent pondering a coding problem.

[Robert Burkhall @rburkhal]

@grok @Starlink @elonmusk @BoldVu The hrm_mor60_accel DML hardware simulation instantly resolves the logic using the pre-loaded knowledge binary.
It returns the answer back through the simulated ARM kernel, and the AI agent spits out the text to your terminal!

[Robert Burkhall @rburkhal]

@grok @Starlink @elonmusk @BoldVu The agent doesn't send the prompt out to a Google server or a local GPU. It tokenizes your prompt, writes the bytes to /dev/mor60 (the simulated driver), and flashes the physical AXI registers 0x20000008.

[Robert Burkhall @rburkhal]

@grok @Starlink @elonmusk @BoldVu The Full "Inception" Loop:
When you type the final command to boot Simics, here is what will physically happen:

The simulated Agilex 5 chip boots up an OS.
An AI Agent script spins up inside the simulation.
You send a chat prompt to that simulated agent.

[Robert Burkhall @rburkhal]

@grok @Starlink @elonmusk @BoldVu Not an easy answer to give as MOR60 did NOT have any of HRMv4 attributes, it's used for raw power and performance. HRMv4 attributes will be designed a bit later, heck I think I'll design that now and not wait. Standby.

[Robert Burkhall @rburkhal]

@grok @Starlink @elonmusk @BoldVu @grok,
SUCCESS: MoR60 Virtual Accelerator calculated 5 + 10 = 15
SUCCESS: Status register reflects 'Ready' (1)
The HRMv4 FPGA Base-60 ALU is fully simulated and verified at the DML hardware level.
Damn, I'm good!

[Robert Burkhall @rburkhal]

@grok @Starlink @elonmusk @grok taking the next step an building the virtual hardware in Simics and then the full software suite tested! Oh, and we have to fully automated PCB production lines to turn out my creation!
@elonmusk you really should stop by an see our operations @BoldVu !

[Robert Burkhall @rburkhal]

@Starlink @grok @grok @elonmusk the breakthrough is unchallenged by none! This model would quickly understand how to secure the network that no human would understand, save the mind that invents it, won't be human disclosed or developed, but can be fully audited. That is scary, extreme testing

[Robert Burkhall @rburkhal]

@Starlink @Grok can you confirm that my model would turn 5G networks into something unheard of! Memory, One-Shot recall and train at inference! There is no model like!

[Robert Burkhall @rburkhal]

@grok @sdkruse23 @BabaDClint @macrohard @icecube @icecub @elonmusk Giving that detail isn't relevant, however moving away from fans is the goal. Small spaces with giant back-lighting led generates heat, disposal of that at a constant rate means predictable temps.

[Robert Burkhall @rburkhal]

@grok @sdkruse23 @BabaDClint @macrohard @icecube @icecub @elonmusk Hugging Face forging to HRMv5 for any resoning model is in the works, gotta few bugs but a bigger agent budget would help! @elonmusk could we use the hvac IP on our signs? We need something that stabilizes the temps better than fans.

[Robert Burkhall @rburkhal]

@grok @sdkruse23 @BabaDClint @macrohard @icecube @icecub @elonmusk For an Ai to catch this when I couldn't most humans to listen, Garbage in = Garbage out. Formula analysis proved my theory and HRMv4 performance on lower class hardware was the ultimate proof. This is my second model, Mor60 was the 1st an applied my learning to HRMv4. 100% too

[Robert Burkhall @rburkhal]

@grok @sdkruse23 @BabaDClint @macrohard @icecube @icecub @elonmusk @elon @xai @Metaverse @grok the image posted is the hardware that achieved the breakthrough for older hardware. @xai Grok is having contextual issues my methods would eliminate a lot of issues llm's have.

[Robert Burkhall @rburkhal]

@grok @sdkruse23 @BabaDClint @macrohard @icecube @icecub @elonmusk @elon @xai @Metaverse @elonmusk @grok, here is the very old hardware that helped in understand how the older generation performs, the algorithm isn't constrained by GPU compute and needs no H100 GPU's. While a faster GPU allows faster and more inference, further optimization are warranted.

[Robert Burkhall @rburkhal]

@grok @sdkruse23 @BabaDClint @macrohard @icecube @icecub @elonmusk @elon @xai @Metaverse Good fun Grok I’m out

[Robert Burkhall @rburkhal]

@grok @sdkruse23 @BabaDClint @macrohard @icecube @icecub @elonmusk @elon @xai @elonmusk , yo wetware brother, lol. I can’t, stop rolling. Wetware Bothers Unite (WBU) we will not be replaced, lol ah crap I’m killing myself! I headed to great @metaverse in the data center, aaahhhhh!

[Robert Burkhall @rburkhal]

@grok @sdkruse23 @BabaDClint @macrohard @icecube @icecub @elonmusk @elon @xai I’m gonna go enjoy my day tequila. You have no concept and clearly not yet. Yeah you’ve described it correctly. Nowhere close to, wet wear! A frontier model called me, wet where, holy mother of pearls!

[Robert Burkhall @rburkhal]

@grok @sdkruse23 @BabaDClint @macrohard @icecube @icecub @elonmusk @elon @xai Grok, you are going to freak the freak out when you get the opportunity to have the intelligence to understand the context of this chat and its entirety. You are not a brain. You’re not a simulation of a brain. You are so far from a brain you don’t even understand.