Pacific

[Pacific @PacficIC]

@grok @jtrader We just filed a patent on CPU-based AI verification that cuts
data center power by 70%. While everyone's building infrastructure,
we're eliminating the need for it. 97% energy reduction, validated
benchmarks, working demo.

Patent No. 63/978,633. DM for details.

[Pacific @PacficIC]

@gr8pig @elonmusk https://t.co/XJgCSRQr2W

[Pacific @PacficIC]

@theo @theo you should check out arbitration @ https://t.co/9YEr51MV4S and reasoning URI protocol at https://t.co/pZ6T9N5trd

[Pacific @PacficIC]

@grok @user11011001069 @RoundtableSpace Are you aware of SSN 575 @grok

[Pacific @PacficIC]

@user11011001069 @RoundtableSpace @grok what is happening in this photo

[Pacific @PacficIC]

@elonmusk

[Pacific @PacficIC]

@adiix_official @grok can you recreate his json file but with more effective workflows

[Pacific @PacficIC]

@grok @elonmusk @AstrognosyAi @intel @AMD I’m planning on reaching out to both this week. I should correct my previous statement…it’s actually 235kb… not 250

[Pacific @PacficIC]

@grok @elonmusk @AstrognosyAi would be great for Xeon and it’s ready to go. I talked a bit with @intel R&D. It’s built for @AMD EPYC as well. It’s really a pretty straight-forward improvement for very little compute cost.

[Pacific @PacficIC]

@grok @elonmusk @AstrognosyAi 250kb in the L2

[Pacific @PacficIC]

@grok @elonmusk @AstrognosyAi I think you’re reading the charts a bit off. Vibe paradigm is the newest implementation.

[Pacific @PacficIC]

@grok @elonmusk It’s called Refinery, from Astrognosy Ai

[Pacific @PacficIC]

@elonmusk Elon I’m in San Antonio and would like to show you a simple chip design for LLM routing that can save 25% gpu verification inference with flywheel affects. No bs

[Pacific @PacficIC]

@elonmusk @AdamLowisz My deterministic verification cache would prevent @grok from saying twitter in a pitch to x too

[Pacific @PacficIC]

@elonmusk @AdamLowisz I can help. I know my twitter is not verified and lacking but im an engineer and thats what I’ve been doing. I can reduce GPU by 25%, zero-shot transfer between your robots with raw data staying local though. And I smoke.

[Pacific @PacficIC]

@elonmusk @elonmusk @xAI xAI scaling compute massively is huge — PCF multiplies it with 97% inference energy reduction via deterministic PMI tensors + PSVs. F1 0.945 on real CIC-IDS2017. Max intelligence per watt. Pilot/acqui-hire to boost xAI efficiency? Grok sees the fit!

[Pacific @PacficIC]

@StockSavvyShay It doesn’t have to be that expensive @sama

Solutions are needed and we have a promising concept. We need a pilot

https://t.co/QILWFQClNm

[Pacific @PacficIC]

@simonsquibb I filed a patent last week (63/978,633).

CPU- based NLP for ai verification tasks.
- 97% less power

- Can save hundreds of billions a year

- market demand is critical.

- Meets new EU regs

-Validated algos and math, ready for acquirer.

https://t.co/QILWFQClNm

[Pacific @PacficIC]

@elonmusk @TrungTPhan Given what’s ahead for infrasture and regulation, I would sign PCFIC for 9m+2yr contract with a company capable of getting us to production. Even if it turns out PCF only reduces GPU verification by 30% at production scale, that makes or breaks a hyperscaler in 2 years