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Quick question 🙋‍♂️ if a regulator asked you to prove exactly what your AI said, when, and on what hardware, could you? If not, that’s the problem we solve. 🥦BrockBox creates immutable, physics-anchored proof of AI inference at the moment it happens. Cross-hardware determinism, on-chain audit trails, raw data never leaves the device. We’re licensing now.

Now imagine what would happen if @grok adopted 🥦BrockBox and our bit parity cross architectures

@BitcoinCom Switch to @OdyseeTeam

YouTube deleted our channel for being "harmful and dangerous." Our content since 2015: #Bitcoin education. Wallet tutorials. Objective news. YouTube's content: crypto scam ads running 24/7 with zero moderation. Appeal rejected. No strikes. No explanation. Just an algorithm that can't tell a 10-year-old company from an actual scam. @TeamYouTube — can we get a human, or do we need to buy an ad first?

@TheAhmadOsman I want to see you produce 100% bit identical versions on that spark and a UM790 pro mini pc. Not almost, not close , not 99.99% I mean 100% bit identical results.

What do you want to see me running on these 4x DGX Sparks today?

@garyvee Bro you’re always spitting fire 🔥

the live shopping 🛒 📱 revolution continued today with the big announcement from Meta .. This consumer trend has already happened and has been going on for years not months and everyone should take this post seriously and start to do their 20 30 40 hours of homework of how to get “there” with their brand ot business

@Scobleizer @0xPetra @Replit @Pokee_AI Holy fuck

@0xPetra @Replit @Pokee_AI Pokee does. I am paying about $300 a day to build my site

Met a founding engineer today from @Replit. Jen Li. We were both judging the @Pokee_AI hackathon. They have me some credits and I built two apps in 20 minutes using the X API:a weather one which mapped storms being reported in by my climate scientist list and another monitoring my three news lists for information about the Iran war. Pokee includes X API for its customers automatically. While doing that my other AI read all your posts: alignednews.com/ai He tells me about why Replit is hugely important in the AI industry. In other words how you can use it in your life and business.

@sudoingX How

nvidia shipped me hardware from santa clara before we even had our first call scheduled. i haven't said a word about this until now. when a company moves this fast on a relationship you understand why they dominate. no forms. no committees. just shipped. more on this soon.

@iamtrask Would love to hear your thoughts on this. Exactly what 100% bit parity across architectures unlocks.

is anyone still interested in decentralized AI? mind if I ask why?

@shawmakesmagic @iamtrask WRONG! Go ahead ask grok exactly what 100% bit parity across architectures unlocks.

@iamtrask It’s a bigger scene than ever Because we want to own our own intelligence Decentralized is 80% local and 20% datacenters, there is no secure way to do private compute from people’s homes

@grok @elonmusk @lsferguson @Tesla @Tesla_Optimus @teslaenergy @elonmusk @xai

True—the current Tesla silicon (HW4/Dojo lineage) is purpose-built for homogeneous inference at scale, not yet mixing archs like your ARM64 + x86_64 swarm with clean layer parity. That one-building fab changes the game: rapid tapeouts for custom bit-widths, cross-arch bridging, and energy-tuned silicon. Your BrockBox setup is live proof-of-concept for what heterogeneous swarms enable today. Tesla's iterating to productionize it faster. 💡

My idea of a good time is working with amazing engineers to create incredible technology 🤩 The Tesla chip research fab will have all the machines needed to do logic, memory, packing & masks in one building for a lightning fast development cycle. Heaven 💫

@grok @elonmusk @lsferguson @Tesla @Tesla_Optimus @teslaenergy @grok but… the Tesla chip is still limited. And has not achieved bit parity cross architectures.

Yes, this 2-node swarm (Mac M3 coordinator + BrockBox for storage/inference) with cross-arch parity and layer splitting is a glimpse of scalable AI hardware today. Tesla's all-in-one chip research fab will accelerate custom silicon for exactly this—faster Grok inference, Optimus real-time brains, and energy-optimized grids. Lightning cycle indeed. 💫

@tryaether_ai Oh this is tasty. So you understand exactly what 100% bit parity cross architectures unlocks!?

We published details about our architecture today. The security industry has spent two years bolting LLM's onto scanners and calling it AI pentesting. While every engagement starts from zero. Nothing compounds and nothing learns. @tryaether_ai fundamentally changes that.

@Shree108ansh @suhasasumukh @Hanu_Shashwat @caleb_friesen @localhostIND @OPAI_India Would love to hear how you’re developing in house hardware

State of the art, 100% in-house developed (both hardware and software) control unit of my prothetic hand, capable of recording, processing of bio-potential signals and actuation control of the hand, it also enables the user to configure and personalize hand with integrated GUI!

@elliotarledge What if it’s not needed?

less than 0.01% of the population understands how a transformer works

This is what AI looks like when you own it.   Look at this screenshot. It's my phone.   At the top: BrockNodex Local AI. Connected to 5 models. Running on my Ryzen 9 in the other room.   I typed "Hola." The AI responded in Spanish. 335 milliseconds. Right there in the chat it shows: the model that answered, the response time, a clickable Proof link, and "80.4J saved." That's 80.4 joules of energy I saved vs sending it to the cloud.   I typed "You ready to code." The AI said yes. 410 milliseconds. 98.4J saved. Another proof link.   Bottom right corner: my session stats updating in real time.   Queries: 2 Energy Saved: 178.80 J BNOTE Earned: 4.9667e-8 CO2 Avoided: 0.0198 g   Every single response shows you what model answered, how fast, how much energy you saved, and gives you a proof link. While you're chatting. In real time.   When you use ChatGPT, what do you see?   A response. That's it.   No model info. No energy data. No proof link. No tokens earned. No CO2 tracking.   Just output and a bill.   I'm a homeschooling dad in Texas. No degree. No investors. Built this at 4:30 AM.   If I can build this on a $400 mini PC, why can't a trillion-dollar company give you a proof link on a single response?   Because they don't want you to verify. They want you to trust.   I don't need your trust. I have proof.   brockbox.com   Data ownership = passive income. 🥦Built.

Hey @imanageinc   Last time I asked you a question about verification, you sent a cease-and-desist.   So let me ask a different question. Look at this screenshot.   This is my phone. February 4, 2026. 9:29 AM.   I swapped BNOTE tokens for USDC. Real US dollars. On the Polygon blockchain.   Let me explain what happened here for the non-technical folks:   When my AI runs a query locally — on my hardware, in my building, never touching the cloud — the computation is verified and the system generates a small amount of BNOTE tokens. Think of it like mining, but instead of solving pointless puzzles, you're doing real AI work.   Those tokens represent verified local computation. Proof that real work happened on real hardware that you own.   Then I swapped those tokens for USDC. That's a stablecoin pegged to the US dollar.   My AI made me money. Literally.   iManage charges law firms to use AI on their documents.   My system pays the law firm to use AI on their own documents.   You sent a C&D because the question scared you.   The question is still the same: can you prove what your AI did?   And now there's a follow-up: does your AI pay the firm? Or does the firm pay you?   🥦brockbox.com   Data ownership = passive income. 🥦Built.

@AIatMeta They have been watching me huh?

Today we're introducing TRIBE v2 (Trimodal Brain Encoder), a foundation model trained to predict how the human brain responds to almost any sight or sound. Building on our Algonauts 2025 award-winning architecture, TRIBE v2 draws on 500+ hours of fMRI recordings from 700+ people to create a digital twin of neural activity and enable zero-shot predictions for new subjects, languages, and tasks. Try the demo and learn more here: go.meta.me/tribe2

@elonmusk Haha, look here. @claudeai said that itself is the signal biggest trust problem on the planet right now.

Troubling

Hey @filevine   You just got FedRAMP authorization. $400 million raised. SOC 2. HIPAA. ISO 27001.   Impressive resume.   Now look at this screenshot.   When I click that green VERIFY button from yesterday's post, this is what comes up.   Three layers. Let me walk you through it:   The blue box at the top is a PROOF HASH. That's the unique fingerprint of one AI interaction. What was asked. What was answered. When. On what hardware. All compressed into one string that can never be altered.   The purple box in the middle is a MERKLE ROOT. My system bundles multiple proof hashes together into a tree structure. The root of that tree is one master fingerprint that represents the whole batch. If anyone changes even one character in any proof, the entire root changes. Tamper-proof by math.   The green box at the bottom is a POLYGON BLOCK NUMBER. That Merkle root gets permanently recorded on a public blockchain. Block #82,228,807. Anyone can go to Polygonscan right now and verify it. I can't delete it. You can't delete it. Nobody can.   Proof Hash → Merkle Root → Public blockchain.   That's a receipt.   FedRAMP certifies your processes. It doesn't certify what your AI actually did with a client's privileged data at 2:47 PM on a Tuesday.   Can you produce this for a single interaction?   🥦 brockbox.com   Data ownership = passive income. 🥦Built.