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Joined September 2020
Bottom is in send the LONG eco for a new ATH and beyond $PRIME / AMZN @OptimusPrimeAMZ $PUR / AMD @purrcessor
This onchain engine runs on memes & RWAs & vibes.
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CryptoPablo retweeted
This is the biggest update PARANOID has shipped. Your question now travels sealed all the way into the AI's chip. Every time you ask an AI something, four things leak: who asked, where they asked from, who the question is about, and the question itself. PARANOID already hid the first three with zero-knowledge payment, an independent relay and Scrub. The last one was the question itself, and this update fills that final gap. As far as we know, PARANOID is the first AI service to meet all four. Your browser now seals each question with a key that only Chutes' AI chip can open. The chip runs in Intel TDX with NVIDIA GPUs in confidential mode, so even the people running the machine cannot look inside. The key is made inside the chip and uses ML-KEM-768, a post-quantum scheme. Our server and Chutes' servers only pass the sealed question along, and the answer comes back sealed to your browser alone. Your browser checks that chip itself. Before it seals a question to a chip, it fetches that chip's proof with a fresh random number and checks five things: that Intel signed it, that the key was made inside that very chip, that debug mode is off, that the chip runs the exact software Chutes publishes, and that NVIDIA signed a verdict passing every GPU. If anything does not match, the question is not sent and no question credit is spent. The proof reaches you through our server, but it carries Intel's and NVIDIA's signatures, so any change we made would show. Here is what you get. You can ask the things you would never want anyone to see, about work, health, contracts or money, and there is no road left for them to leak through server logs, a staff member's eyes, a breach or a court order, because the only place that can read the question is one checked chip. Instead of a promise to trust us, every chip your question goes to has passed a check your own browser ran. Tap "Read only inside a sealed chip" under an answer to see which chip opened it and what it proved first. On PARANOID, the only place that can read your question is now one checked chip. The chip builds your browser checks against, published by Chutes: api.chutes.ai/servers/tee/me… paranoid.red
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CryptoPablo retweeted
Replying to @563defi
put $PARANOID on the list for private inferencing. from payment to prompt. $VVV only privatises the prompt 💀.
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CryptoPablo retweeted
$MASK hit a 57M mc valuation are we gonna pretend $PARANOID isnt grossly undervalued rn? because it definitely is. not to mention things like $VEIL hitting almost 20M too. The people want, and NEED privacy, Paranoid is the next step
think big. we are talking about PRIVATE INFERENCE here. solana:22rWiyDiY9GgxSrFiWC2vX1GxNxjkvrRPmZJDzv9pq6X vs $VVV right @x402 ?
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CryptoPablo retweeted
A truly private AI made possible eith @VitalikButerin zkapi. about an 8000x for $PARANOID to get to $VVV levels 👀
time for kevin to zoom in on solana:22rWiyDiY9GgxSrFiWC2vX1GxNxjkvrRPmZJDzv9pq6X. no side equity to worry about just superior private AI offering. @paranoiddotred is 🤯
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CryptoPablo retweeted
Been digging into solana:22rWiyDiY9GgxSrFiWC2vX1GxNxjkvrRPmZJDzv9pq6X The team took the zkAPI research from Vitalik and Davide Crapis and actually built on it, bringing private AI access to Solana using zero knowledge proofs. You pay for AI queries in USDC, and 20% of those payments go back into token buybacks and burns. Pretty simple model, more people using the platform means more buying pressure on the token. Privacy is only going to become more important as AI adoption grows, so I'm curious to see how far they can take this.
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First coin bringing Vitaliks Vision to life on @solana sitting now at 130k @paranoiddotred solana:22rWiyDiY9GgxSrFiWC2vX1GxNxjkvrRPmZJDzv9pq6X
First coin which brought vitaliks Vision to Solana is sitting under 100k marketcap 👀 @paranoiddotred CA: 22rWiyDiY9GgxSrFiWC2vX1GxNxjkvrRPmZJDzv9pq6X solana:22rWiyDiY9GgxSrFiWC2vX1GxNxjkvrRPmZJDzv9pq6X
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CryptoPablo retweeted
PARANOID's IP shield now runs through an independent relay server, operated by Oblivious Network. Why a relay at all? Every request on the internet carries the IP address it came from, and an IP can point to your home, your office or your city. Our zero-knowledge proof already hides which member is asking, but the server that receives a question still sees where the connection came from. HTTPS hides your words from the network in between, not from the server at the other end, so that server always knows both who connected and what they asked. Oblivious HTTP (RFC 9458) splits those two apart. Your browser seals the whole request with our gateway's public key and hands it to a relay. The relay strips every header and forwards the sealed blob, so it only ever holds ciphertext. Our gateway opens the question, but the connection comes from the relay, so all it sees is the relay's address. The answer is sealed again with a key only your browser holds. That split only means something if the two sides belong to different people, which is why the relay is now run by Oblivious Network, a company that does nothing but operate OHTTP relays. The bottom line is that every question now passes through two separate companies, and no one can know who asked what. paranoid.red
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$Paranoid 90k mcap 22rWiyDiY9GgxSrFiWC2vX1GxNxjkvrRPmZJDzv9pq6X A privacy-focused AI platform on Solana. •Uses zero-knowledge proofs to let users access AI anonymously. •Users pay in USDC for AI queries. •20% of payments go toward buying and burning •More AI usage could mean more token buybacks. In short: Anonymous AI access with a token whose buybacks are tied to platform revenue.
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CryptoPablo retweeted
PARANOID now has “Scrub my details.” When you ask an AI something, every name, email and phone number in your question goes to the AI company's servers, and that includes other people's details, not only yours. PARANOID now swaps the names and contact details in your question for placeholders on your own computer, right before the question is sent. A small model running on your device finds people's names, while emails, phone numbers, card numbers, wallet addresses and street addresses are caught by their shape. Each one leaves as a placeholder like [NAME_1] or [EMAIL_1]. The AI writes its answer to the placeholders, and the real names are filled back in on your screen only. Ask it to thank your teacher Emily Carter, and it writes the whole email without ever learning who Emily is. Why does this have to happen before the question is sent? Once a name reaches a server, it is out of your hands. It can be saved in chat logs, read by reviewers, used as training data, or exposed by a breach or a court order. A promise to delete it later is still a request to trust someone. So we changed the order. Instead of deleting your details on a server, we never send them, and a name that never arrives cannot be stored or leaked. Most names in a question are not even yours. They belong to a teacher, a friend, a coworker or a family member, and none of them agreed to hand their details to an AI. PARANOID's zero-knowledge proof has always hidden who is asking. Scrub now hides who the question is about. paranoid.red
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CryptoPablo retweeted
BIG ONE | NFA Vitalik (eth founder) proposed a new way to handle private AI. Pushed it to his GitHub. $Paranoid forked it and made it available on solana, with payments for usage going towards buybacks / burns. 22rWiyDiY9GgxSrFiWC2vX1GxNxjkvrRPmZJDzv9pq6X xitter.cf/vitalikbuterin/status/…
Wrapped zkAPI + Tor + extra cover traffic + local LLM prompt rewriting in an open-AI compatible daemon, and made a "paranoid mode" wrapper for my agent harness (pi): Each conversation gets assigned a separate Tor circuit, your requests are masked with random cover traffic, zkAPI ensures you don't leak your identity through payments, and all prompts are locally rewritten (bring-your-own-local-model; I'm using qwen3.8-flash-next) github.com/vbuterin/zkapi/tr… My agent harness is wrapped with a bwrap sandbox (also experimenting with MicroVM) and wrapped again with torsocks, so everything it does goes through Tor. Here's what me asking it to do a simple research task looks like. It's getting quite usable! Though you definitely still pay quite a bit in increased latency, especially when starting a new conversation. Also, Tor is far from optimal here for privacy; the cover traffic mechanism is okay against passive adversaries but much weaker if the LLM provider is colluding with the guard and actively manipulating timing. This kind of task really requires a more specialized mixnet, probably take the tradeoff of a higher bandwidth multiplier and built-in constant cover traffic. Also also, much cheaper zkAPI deposit and withdraw gas costs are coming to mainnet soon.
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First coin which brought vitaliks Vision to Solana is sitting under 100k marketcap 👀 @paranoiddotred CA: 22rWiyDiY9GgxSrFiWC2vX1GxNxjkvrRPmZJDzv9pq6X solana:22rWiyDiY9GgxSrFiWC2vX1GxNxjkvrRPmZJDzv9pq6X
Wrapped zkAPI + Tor + extra cover traffic + local LLM prompt rewriting in an open-AI compatible daemon, and made a "paranoid mode" wrapper for my agent harness (pi): Each conversation gets assigned a separate Tor circuit, your requests are masked with random cover traffic, zkAPI ensures you don't leak your identity through payments, and all prompts are locally rewritten (bring-your-own-local-model; I'm using qwen3.8-flash-next) github.com/vbuterin/zkapi/tr… My agent harness is wrapped with a bwrap sandbox (also experimenting with MicroVM) and wrapped again with torsocks, so everything it does goes through Tor. Here's what me asking it to do a simple research task looks like. It's getting quite usable! Though you definitely still pay quite a bit in increased latency, especially when starting a new conversation. Also, Tor is far from optimal here for privacy; the cover traffic mechanism is okay against passive adversaries but much weaker if the LLM provider is colluding with the guard and actively manipulating timing. This kind of task really requires a more specialized mixnet, probably take the tradeoff of a higher bandwidth multiplier and built-in constant cover traffic. Also also, much cheaper zkAPI deposit and withdraw gas costs are coming to mainnet soon.
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CryptoPablo retweeted
We have been thinking deeply about Vitalik's paranoid mode post. He split private AI into four pieces: pay without a name, hide where you are, bury the real question among fake ones, and clean the question up on your own machine before it ever leaves. The strange part is that none of the four pieces is new on its own. What has been missing is someone putting all of them behind a single chat box that a normal person would actually open. That gap is about to get a lot smaller.
github.com/vbuterin/zkapi You deposit once into a vault. After that, every AI request you send carries a zero knowledge proof that it is paid for. The server checks the proof and lets the request through, but it cannot tell which deposit it came from. Two requests from the same person look like two strangers. Your prompt goes from your browser straight to the AI provider. The zkAPI server only decides who is allowed to spend and how much, then settles the bill. When you are done, the unused part of your deposit comes back to you. Under the hood it uses Groth16 proofs, Poseidon hashes and a Merkle tree of deposits, and it ships an OpenAI compatible client, so existing apps can point at it. Built by the Open Anonymity Project with the Ethereum Foundation, from a design Vitalik and Davide Crapis published in February. We liked it enough to build the Solana version. PARANOID. paranoid.red
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CryptoPablo retweeted
On October 1 the Ethereum Foundation and the Open Anonymity Project released zkAPI. Two weeks later Vitalik Buterin posted the setup he personally uses and called it paranoid mode. He has a point. People type their most private questions into AI apps as if it were nothing, and every word is stored under their name, card and IP. I have worked at an AI subscription company. Keeping all of it is simply the default. So we built the Solana version of paranoid mode. PARANOID. Deposit USDC once and you get AI. No signup, no email, no card. When you ask something, the system checks that you paid without ever seeing who you are. We run this thing and even we cannot see who asked what. The paid limits still hold. Try to use more than you paid for and you lose your own deposit, automatically. Pure math, no admin. It plugs into any AI app you already use. CA: 22rWiyDiY9GgxSrFiWC2vX1GxNxjkvrRPmZJDzv9pq6X paranoid.red
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CryptoPablo retweeted
When a protocol is updated, people should be able to see more than a version number and a progress announcement. That’s why we’re working on a public deployment record for GridPad’s v1.1.0 release on Robinhood Chain Mainnet. The idea is straightforward: document what was deployed, link to the relevant transactions, and publish the results of the verification work once the remaining checks are complete. The deployment registry and technical documentation should also reflect the same live implementation. This gives anyone following GridPad a clearer way to trace the release back to the chain and understand what has actually been checked. The v1.1.0 deployment is already in place. We’re now working through the live verification and documentation needed to complete the record. Less reliance on announcements. More details people can independently verify. GridPad.network
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CryptoPablo retweeted
Exiting a position should be just as carefully designed as entering one. That’s one of the areas we’re currently working through at GridPad. The focus is on validating how exits and redemptions behave under different conditions, so the mechanics work as intended when users need them. Here’s what we’re checking: • Optimal exits: Verify the improved exit path and how it handles redemption in a single transaction. • Floor redemption: Confirm that holders receive the correct amount when redeeming against the token’s floor. • Reserve accounting: Check that reserve balances and token supply remain consistent throughout the process. • Failed transactions: Make sure a reverted transaction leaves no unintended partial state behind. These details matter because an exit mechanism needs to do more than look correct on paper. Its behavior should be consistent across the contract, the application, and the actual transaction. The protocol hardening update is in progress. We’re validating the deployed implementation before publishing the verification results. More soon. GridPad.network
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CryptoPablo retweeted
What if token-based capital formation could eventually support something beyond token markets? That question sits at the centre of GridPad’s long-term thesis. Compute is becoming an essential resource across scientific research and advanced engineering. From molecular dynamics and protein prediction to genomic analysis and medical-device simulation, these workloads can require substantial processing power, specialised hardware, and significant memory capacity. GridPad is designed around the idea of connecting token-based capital formation with this demand for compute. The longer-term model has two connected parts: • Capital formation: The on-chain launch mechanism establishes a token’s economic structure, including its bonding curve and floor reserve. • Compute provisioning: The planned infrastructure layer would direct resources toward physical computing capacity for research and other demanding workloads. • Revenue feedback: Under the intended model, revenue generated by compute services would flow back into the token’s floor reserve, connecting real utilisation to the protocol’s economic mechanism. This is the direction GridPad is working toward — not a claim that the entire cycle is already operational. The Robinhood Chain hub is deployed, but physical compute provisioning, live research workloads, and the associated revenue flows are still under development. The objective is to build a path between on-chain markets and useful computing capacity, with transparent mechanics connecting the two. The launch mechanism is the starting point. The broader thesis is what comes next. GridPad.network
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