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Ron@latticeproxy.io

@LatticeProxy

Post-Quantum security implemented at the application layer to secure your AI API communications. Redefining the User Interface for the emerging AI industry.

United States Katılım Şubat 2026
63 Takip Edilen4 Takipçiler
Ron@latticeproxy.io
[email protected]@LatticeProxy·
Sure, there are a lot of nuances I can agree. The general design of my home system uses Byzantine consensus validation along with RBAC so if there are bad actors the user admin, which happens to be me, can then make that decision of how to move forward. Pairing all that with PQE and crypto fingerprints of my agent, I have a pretty robust authenticated system.
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Alan Carroll
Alan Carroll@alanbuilds·
@LatticeProxy @pmarca Not necessary. Just verify the agent itself and track its behavior via MCP-T. Over time bad actors are identified and flagged while cooperative behavior is rewarded and compounded.
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Marc Andreessen 🇺🇸
The idea that “AI safety” could be based on secrecy and control has been fatally falsified.
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Ron@latticeproxy.io
[email protected]@LatticeProxy·
I feel like this can be done through the heartbeat based off bandwidth instead of time, as bandwidth increases the type of memory context needed to perform the task that caused the increase of bandwidth, changes dynamically. IMO you get better focus of the task if you can dynamically control context based off task and heartbeat.
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Nathan Wang
Nathan Wang@AI_Nate_SA·
Hybrid memory is the pattern that keeps showing up everywhere. Video world models, agent systems, retrieval, all converging on the same insight: you need both fast working memory and persistent long-term recall to handle anything dynamic.
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Ron@latticeproxy.io
[email protected]@LatticeProxy·
Lots of talk about Quantum encryption and post-quantum encryption in the comments. I built an AI user interface using PQE AND PQE signatures on everything that leaves my AI agent, along with the agent's crypto fingerprint. It's the future of how things will work, regardless of whether I do it or not.
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Max the VC 👨‍🚀
Google is basically saying: “We’ve cut the quantum resources needed to break Bitcoin’s encryption by 20x. We can now break it. We can prove it. We’re just not going to tell you how. We’ve slowed down research to give crypto a chance. You have until 2029 to figure out a solution. Good luck.”
nic carter@nic_carter

Many are wondering "what Google saw" that caused them to revise their post-quantum cryptography transition deadline to 2029 last week. It was this: research.google/blog/safeguard…

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Palmer Luckey
Palmer Luckey@PalmerLuckey·
This "deeply reported" piece from WIRED is inexcusably bad. First, it is just wrong. Not nitpicky things, fundamentally false jabs and premises. Second, it completely ignores the stakes of supporting active troops to push r/antiwork softboy talking points. Examples below.
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WIRED@WIRED

Like Trae said, we spoke to 37 former and current Anduril workers, in addition to investors, experts, and former military officials, for this deeply reported story, which you should read: wired.com/story/andurils…

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Ron@latticeproxy.io
[email protected]@LatticeProxy·
@bobby_mum38353 @dmmsell You've made your case poorly. But good for you on lying to strangers on the internet, bet that really helps your insecurities. Glad I could help
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Faheem
Faheem@EiaoFaheem·
@BernieSanders Hard to justify a system where billionaires pay less than everyday workers. Tax fairness isn’t radical,it’s basic accountability. Time to close loopholes and make the system work for everyone, not just the ultra-wealthy.
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Bernie Sanders
Bernie Sanders@BernieSanders·
Elon Musk, the wealthiest man alive, recently paid an effective tax rate of less than 3.3%. That is less than the average truck driver, nurse and teacher. YES, we must demand the wealthy and corporations pay their fair share. twitter.com/i/broadcasts/1…
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Ron@latticeproxy.io
[email protected]@LatticeProxy·
@tbpn @mcuban Cuban out here making awful takes. whos redesigning houses at the pace of optimus production? oh i know, nobody. just the supply of one vs the other and cost proves what he is saying is just fantasy, simply because of the projected inventory.
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TBPN
TBPN@tbpn·
.@mcuban says humanoid robots won't last more than 5-10 years. Instead, we'll "design the house to fit the robot, and design the robot to fit the house." "You could create a house where the pantry, the refrigerator, and the washing machines were hidden behind the garage, if you even have a garage. That way you could redesign the house so that all the living space was for people."
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Ron@latticeproxy.io
[email protected]@LatticeProxy·
@trikcode Then do the work of three people and become a power worker. The authenticity and demand of work ethic will never go away
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Wise
Wise@trikcode·
AI was supposed to give us more free time. Instead it just raised expectations. Now you're expected to do the work of 3 people because "you have AI tools."
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You smell like cheese
You smell like cheese@bobby_mum38353·
@dmmsell It's not amazing, it's fake. I literally have a PhD in Electrical Engineering. I promise you this does not work in reality.
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Ron@latticeproxy.io
[email protected]@LatticeProxy·
@EricRWeinstein @iamtexture Do you require instructions to operate every product? Do you use products "off label"? What are your expected outcomes what are you trying to do or solve? this is a very early but very powerful product. there is no data baseline, it's being created.
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Eric Weinstein
Eric Weinstein@EricRWeinstein·
@iamtexture Stipulate that you are correct first. Was I supposed to come up with this? I am using a commercial product. Where is this in the product? Why is this instruction not coinjected seamlessly when it recognizes what is happening? How is this a user issue?
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Eric Weinstein
Eric Weinstein@EricRWeinstein·
I have no idea what the professional AI crowd thinks I believe. I see many opinions ascribed to me that I simply don’t hold. I do use a suite of commercial products to do mathematics and physics. I have some strong opinions about these products. I’m taking a break so I’ll take a few questions if you think I’m not getting it. Try assuming less and it will go better. Whatcha got?
Mark Feighery@MarkFeighery1

You have too many opinions on them for a non power user. You are not at the cutting edge of LLM usage. Your comments make sense for basic llm usage (the most expensive models) but you're not building powerful recursive harnesses and back pressure into them that gets the AGI results they are capable of

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Ron@latticeproxy.io
[email protected]@LatticeProxy·
To bring data sovereignty into the home, the application has to be designed without the influence of legacy systems. Everything that was built was not built for the person it was built to skim everything off the top, money, data, security, advertising, everything to take from you. PigeonOS is designed to bring that economy back, to the user, to bring security to the home, to bring RBAC controls to the parent to protect their kids exposure. PigeonOS is designed to give us users freedoms rather than hoping some corporation will be responsible or accountable. What makes me different than every other SaaS company out there? I'm building this specifically for my family, if it takes off like i think it will great, if not, my family has a secure AI interface that will improve our lives. In the end, you need to build for you, not for money, your product will appreciate it and so will the users.
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Ron@latticeproxy.io
[email protected]@LatticeProxy·
I Love that with AI I can wake up in the morning and brainstorm about anything. Unfortunatly, I love space and space ideas, so they just stay ideas. unless someone wants to build space construction infrastructure with me. solar smelters are the first order of business.
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Ron@latticeproxy.io
[email protected]@LatticeProxy·
@theallinpod @chamath @Jason Keep it going guys, your words are not falling on deaf ears. more constraints you list, the more solutions I build towards. Everyone will love these products, because it's not big tech making things for them, it's a middle class 26 year engineer, tired of BS making his own thing.
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The All-In Podcast
The All-In Podcast@theallinpod·
Chamath: AI Will Kill Brands, Only Abundance Wins The brands that bring abundance will win big. @chamath: “ If I had to bet, I'm going to bet that brands go to zero.” @Jason: “Really?” Chamath: “When you can make things that are as good or better, and you can make them in a cheaper, faster, better way, people want that abundance more than they want an affiliation to a brand. The perfect example is actually what Tesla did to BMW. This is a fundamentally cheaper, faster, better product. Yes, it's got a great brand, but nobody's going to pay a premium for these products. The reason why Y has outsold everything else is because the Model Y is priced better and it's superior on every operational dimension of comparison. Maybe the right word is abundance. The brands that bring abundance, that bring more to the table than their competitors, and they're able to bring more at the same unit cost or less, capture share. That's probably true.”
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Ron@latticeproxy.io
[email protected]@LatticeProxy·
@elonmusk @pmarca The only way it's optional is if we bring 3rd party economies back into the home. Like data brokering, so individuals can monetize the info others already monetize. It's the easiest lift on creating a future economy for consumers and creators.
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Elon Musk
Elon Musk@elonmusk·
@pmarca Working will be optional in the future
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Marc Andreessen 🇺🇸
AI employment doomerism is rooted in the socialist fallacy of lump of labor. It is wrong now for the same reason it’s always been wrong. More people really should try to learn about this. The AI will teach you about it if you ask! (Hinton is a socialist. youtube.com/shorts/R-b8RR6…)
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Stephen Pimentel@StephenPiment

It’s easy to dunk on Geoffrey Hinton for his 2016 declaration that it was “completely obvious” that radiologists would have no jobs within 5 years, while in fact, the number of radiologists has grown. But this prediction was more than a simple mistake. It’s a synedoche for the entire discourse of AI timelines and doom.

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Ron@latticeproxy.io
[email protected]@LatticeProxy·
@theallinpod I absolutely love this. The loss of accountability and responsibility is cultural decay. People become reliant on someone else will do the thing, or someone else should make it easier. It's like the 90% forgot that reward takes effort.
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The All-In Podcast
The All-In Podcast@theallinpod·
David Friedberg on Personal Agency in the Age of AI: "Stop Blaming Everyone Else" "We never talk about responsibility. We always talk about where the government failed us and where these companies f***ed us. And we never talk about, what did we individually do wrong? How did I individually choose to drink 100 sodas a week? How did I individually choose to get my kids addicted to social media? Where the f*** was I as a parent? We don't talk about our responsibility. And by the way, this fundamentally addresses this point about human agency, which I think is more critical in this era than ever because AI is going to flood us with f*****g everything all the time, nonstop. What we choose to do in a world where we're already getting everything, and how we choose to not take everything that's being offered to us, I think is a critical part of what's going to distinguish human success from human failure. And it's gonna become more apparent in the future, and not everything is about liability, and not everything is about the government failing us. It's about people making choices and we don't talk about it."
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Cassandra Unchained
Cassandra Unchained@michaeljburry·
Open Letter on Housing, Fannie & Freddie @realDonaldTrump @pulte @SecScottBessent @FHFA @USTreasury $fnma $FMCC We studied housing square footage per capita adequacy, and found that there is no problem there. The US in fact has more residential square footage per capita than any other country in the world. This is not a housing shortage, despite what so many say. The problem is that bigger houses are inefficiently housing fewer people. The post-COVID low rate environment locked people into a lifecycle real estate position. Empty nesters can't sell, first time home buyers cannot buy. Second-hand home inventory is near all-time lows due to record low supply, not record demand. Prices are high due to the same reason. Home equity is now a record $35 trillion, nearly doubling pre-COVID levels. 40% of homeowners own their homes free and clear - a record. And about 30% of all home buyers pay for homes without borrowing. Older homes were upgraded at a record pace during COVID, extending and refreshing the usefulness of residential real estate. Artificially low interest rates, ~$6-7 trillion in helicopter cash and forgivable loans helped drive both the home updates and high housing prices. Work from home moved the office into the home, often expensed or deductible. People with white collar jobs and means chose to live/work in exotic or remote locations. All of this together does not speak of a housing shortage, or a housing problem. Instead it is a problem of current residential space allocation and mobility, and this problem was created by government manipulation of interest rates, cash money supply, and COVID lockups that went on too long and changed work/home behavior. Government created the problem and now maintains policies that prevent free markets from reaching a solution, not the least of which is keeping the GSEs inefficiently run while in conservatorship. Recall Pulte's video upon arriving at Fannie Mae - no one was in the office buildings. The companies have become atherosclerotic, inefficient government programs, while a decade of financial engineering optimized for homeowner wealth accumulation rather than housing market velocity/mobility/fluidity. Government must fix this problem by facilitating efficient re-allocation of housing stock with higher housing velocity/mobility through the release of the GSEs into free markets. This is a problem made for the GSEs. Through well-targeted programs, the GSE can help the free market find spaces to intelligently reallocate , and help US citizens with housing mobility. Building more new overpriced, poorly built homes in increasingly dangerous flood zones and other hazardous fringe areas is not the solution. It adds to the problem through high maintenance burdens on new homeowners with little equity in their homes. Rather, to build mobility/velocity of homeowners and housing space, the GSEs need to be recapitalized and retain easy access to capital markets. They also need to be run by real mortgage executives, not government functionaries. To achieve this they need to exit conservatorship in a manner that excites markets to fund these companies, now with guidelines to prevent risk-taking outside of their purpose, and grow their purchases of mortgages of well-targeted specification. I should have written this into the Recurrence piece itself.
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