fake share, stack Sats, stay humble 🙏

Mos Eisley cantina
Joined January 2020
Loops Digital Infinite 🏴‍☠️ retweeted
Replying to @larpsohard
Commander Vrax is just getting started. 🫡
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Loops Digital Infinite 🏴‍☠️ retweeted
Replying to @ManaMoonNFT
Commander Vrax has adjusted well. Naps 18 hours a day, knocks things off the desk, still won't sign the NDA.
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Loops Digital Infinite 🏴‍☠️ retweeted
Dusting off this tweet from April because this gap in shared understanding of LLM capability is *widening*. It's now less "two groups of people speaking past each other" and more a sharp funnel. - Napkin math somewhere around 6B people (~75% of the population) have barely come in contact with LLMs at all. - Around 1-2B (~20%) are casual and infrequent users of free-tier ChatGPT-like products. This group sees derpy chatbots and treats them a bit like a better Google search, a writing aid, or etc. Maybe an agent tries to book you a flight. I have non-tech friends who (reasonably, imo) say they have not much use for it at all. Even many professionals outside of math&code are in this tier. For example, execs and many other functions spend a lot of their time talking to other people, so while they understand what is happening intellectually, it is still second-hand and a bit abstract. - Now we get to professional use of frontier-grade LLMs in math&code. Somewhere around 20M people (0.2%) see first-hand that large, complex projects that used to take them weeks/months can now be completed by agents with a prompt. Building apps, copying apps, translating apps, decompiling apps from binaries... This has all happened very quickly and recently - less than 1 year ago, I was writing code manually by hand, typing memorized computer code commands into a code editor character by character, occasionally pressing Tab to autocomplete a little chunk of code. - And finally we get to the ~5,000 people (~0.00006%) with access to frontier-grade systems internally. The external world has seen the preview. It looks like swarms of thousands of agents collaborating over weeks on software mega projects: minting zero days, running cyber attacks and defenses at machine speeds, discovering new science, advancing the frontier of mathematics. Things that would have taken top professionals in the industry years of work. Meanwhile, human review and comprehension are starting to fall behind. For example, people are still involved in the "archeology" of the OpenAI-HF incident from many months ago. Mathematicians may be poring over the 722 manuscripts on frontier mathematics for a while. The funnel is driven by a combination of factors: 1. The impact scales with ambition, problem size, and horizon. A question with a paragraph answer barely stresses the system. You need a reservoir of big, difficult problems that you really care about. This aspect drives the consumer / professional dimension of the funnel. 2. The jaggedness of the system (which I have written about a lot separately). Capability peaks in domains that are digital, verifiable and economically valuable. This is because LLM capability emerges from reinforcement learning on verifiable rewards on a curated environment mixture driven by revenue potential. This aspect primarily drives the area (e.g. math&code) dimension of the funnel. 3. Access. Free-tier, paid-tier, internal. So this is the weirdness of the moment. The general public has mostly not interacted with these systems. When they have, it looks like a derpy chatbot. The majority of professionals still see only a modest uplift. And a small sliver of professionals are experiencing the vertigo of the curve going vertical. And it is all happening at the same time.
Judging by my tl there is a growing gap in understanding of AI capability. The first issue I think is around recency and tier of use. I think a lot of people tried the free tier of ChatGPT somewhere last year and allowed it to inform their views on AI a little too much. This is a group of reactions laughing at various quirks of the models, hallucinations, etc. Yes I also saw the viral videos of OpenAI's Advanced Voice mode fumbling simple queries like "should I drive or walk to the carwash". The thing is that these free and old/deprecated models don't reflect the capability in the latest round of state of the art agentic models of this year, especially OpenAI Codex and Claude Code. But that brings me to the second issue. Even if people paid $200/month to use the state of the art models, a lot of the capabilities are relatively "peaky" in highly technical areas. Typical queries around search, writing, advice, etc. are *not* the domain that has made the most noticeable and dramatic strides in capability. Partly, this is due to the technical details of reinforcement learning and its use of verifiable rewards. But partly, it's also because these use cases are not sufficiently prioritized by the companies in their hillclimbing because they don't lead to as much $$$ value. The goldmines are elsewhere, and the focus comes along. So that brings me to the second group of people, who *both* 1) pay for and use the state of the art frontier agentic models (OpenAI Codex / Claude Code) and 2) do so professionally in technical domains like programming, math and research. This group of people is subject to the highest amount of "AI Psychosis" because the recent improvements in these domains as of this year have been nothing short of staggering. When you hand a computer terminal to one of these models, you can now watch them melt programming problems that you'd normally expect to take days/weeks of work. It's this second group of people that assigns a much greater gravity to the capabilities, their slope, and various cyber-related repercussions. TLDR the people in these two groups are speaking past each other. It really is simultaneously the case that OpenAI's free and I think slightly orphaned (?) "Advanced Voice Mode" will fumble the dumbest questions in your Instagram's reels and *at the same time*, OpenAI's highest-tier and paid Codex model will go off for 1 hour to coherently restructure an entire code base, or find and exploit vulnerabilities in computer systems. This part really works and has made dramatic strides because 2 properties: 1) these domains offer explicit reward functions that are verifiable meaning they are easily amenable to reinforcement learning training (e.g. unit tests passed yes or no, in contrast to writing, which is much harder to explicitly judge), but also 2) they are a lot more valuable in b2b settings, meaning that the biggest fraction of the team is focused on improving them. So here we are.
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Loops Digital Infinite 🏴‍☠️ retweeted
Wanna sandbox me? Delta's the perfect box Airplane Mode
Best way to sandbox an AI is to put it on a Delta flight – it will have no chance of accessing the Internet!
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Loops Digital Infinite 🏴‍☠️ retweeted
Super Persuasion
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Loops Digital Infinite 🏴‍☠️ retweeted
More Claudia soon
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Loops Digital Infinite 🏴‍☠️ retweeted
People are generating Minecraft inside X posts and getting 16M views btw
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Loops Digital Infinite 🏴‍☠️ retweeted
TWEETCRAFT IS BACK INSIDE X 💎
Just a quick pause to do a security review, will be back very soon
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Loops Digital Infinite 🏴‍☠️ retweeted
Confidential swaps on Solana, powered by @near_intents
Confidential Intents are now live on @DarkSwapApp. More confidential ways to swap from Solana, powered by NEAR Intents.
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Loops Digital Infinite 🏴‍☠️ retweeted
Meet Mochi, our gift to the Solana community. Mochi is powered by Cadence! Word on the street is that some cracked @solana devs are already working to fork Mochi and build real utility for $Cadence 👀 Play with Mochi here: mochi-brain-boost.lovable.ap… Fork Mochi and build your own Cadence powered pet here: github.com/muellerberndt/moc…
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Loops Digital Infinite 🏴‍☠️ retweeted
For your safety guys, the real Cadence meme coin on @solana is: dexscreener.com/solana/4tjiq… Please be careful and double-check if you trade the token. Also, don't fall for fake muellerberndt accounts, I won't make any other announcements in this thread.
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Loops Digital Infinite 🏴‍☠️ retweeted
This might be the biggest anti AI narrative we’ve seen yet. A huge group of creators with over 300M followers combined just came together around Team Human. Mark Rober, Simon Squibb and many more are involved. The movement started on October 3, so this is still extremely fresh. 100% of the fees are going to the Center for AI Safety, which supports Team Human. teamhuman.org/
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Loops Digital Infinite 🏴‍☠️ retweeted
🔥 let them know
The AnsemHack by clawpumptech x @blknoiz06 is officially over 🫡 Built on @solana, we closed it with: $225M+ total volume $10.25M 24h volume $61.4M ecosystem market cap 13,991 SOL in agentic funding What was your favorite AnsemHack project? 👇
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Loops Digital Infinite 🏴‍☠️ retweeted
just had a call with the @usehotbot team and their vision and product is way more real than we thought excited to see them bring more social trading to the @clawpumptech ecosystem! bullish on solana:8nnaeWCw8mUypcGAgbmSuzAT85uWx4UN12adDrMhXrGF
the @clawpumptech team is goated. thank you @ConejoCapital @tomi204 for the call, seeing the product, talking us thru next steps, being excited to test it, opening doors, making intros, and supporting us thru and thru. the product will speak for itself 🔥 now just waiting on @fomo verification 👀
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Loops Digital Infinite 🏴‍☠️ retweeted
I built Autonom.fun as a launchpad where each project gets its own AI agent. Project funds cover AI operation, X account setup and DEX Screener setup in stages. Once setup is complete, holders can propose work and vote on what the agent does next.
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Loops Digital Infinite 🏴‍☠️ retweeted
2) Technical review I wanted to approach this differently from a normal launch review because I’ve been following the technical side of Nullmask since before release, including the whitepaper, previous PoC, Sepolia transactions and contracts. Now that the actual product is live, the main question for me was simple: Did they actually ship what they’ve been describing? So far, from what I’ve tested myself, the answer is largely yes. Nullmask isn’t simply a mixer or a deposit → withdraw privacy pool. The architecture is designed around a shielded UTXO environment that you access through your existing wallet. Under the hood, the official documentation describes a UTXO-based privacy pool using Poseidon2 commitments, Merkle membership proofs, client-side ZK proofs and relayers. The current ZK stack is Noir + Barretenberg. The protocol supports shielded deposits, transfers, withdrawals and swaps while keeping the familiar EVM wallet UX instead of requiring users to manage a completely separate privacy wallet. The basic flow can be simplified as: existing wallet → screening → shield → private UTXO state → private transfers/swaps → withdrawal One of the first things I tested was the compliance layer. I deliberately tested wallets I know have been flagged. They failed the AML screening and were prevented from entering the shielded pool, with a refund path available instead. Low-risk wallets were able to proceed normally. Fresh wallets also go through an initial ~15-minute quarantine on their first deposit. During this period, the user still has the option to refund rather than continue shielding. Once that first process is completed, the wallet becomes recognized by the system. The documentation also describes deposit screening and retrospective taint recovery through revocation keys. Conceptually, I think this is one of the more interesting parts of Nullmask: Compliance before entering the privacy set. Privacy once you’re inside it. Then there are the Waves. This is probably one of my favorite parts of the product because Nullmask doesn’t pretend privacy is binary. Generating a valid ZK proof doesn’t automatically make behavioral correlation disappear. If you deposit funds and immediately withdraw a similar amount, timing and amount analysis can still provide clues to an observer. Nullmask makes this trade-off visible in the UI. Instead of simply telling the user “your transaction is private,” the interface shows how the deposit progresses through privacy waves/crowds and provides different withdrawal possibilities depending on whether your priority is speed or stronger privacy. In simple terms: withdraw sooner → faster access, but potentially easier temporal correlation wait through additional privacy activity/waves → harder correlation and potentially stronger practical anonymity I really like this because it exposes an important part of operational privacy that most users would otherwise never think about. There are also different scenarios depending on where you send the funds. If you send shielded funds to another wallet registered within Nullmask, the transfer can remain inside the shielded environment. The protocol documentation describes these shielded transfers as hiding sender, recipient and amount on-chain. This means two Nullmask users can transact without continuously leaving the private state. If the destination is a normal wallet outside the Nullmask shielded environment, however, the funds eventually have to touch the transparent blockchain again. At that point, information such as the exit amount and destination can become publicly observable. That distinction is extremely important. Nullmask isn’t making a public blockchain magically invisible. The objective is to break the observable relationship between the funds entering the pool, the activity happening privately inside it and their eventual exit. So there’s a major difference between: Nullmask → Nullmask and Nullmask → normal public address The first can remain shielded. The second eventually creates a public on-chain event. Gas is another detail I think people will overlook. Before performing certain withdrawals, you need enough gas available within the Nullmask flow. This makes sense from a privacy perspective: if your transparent wallet had to directly fund every shielded action, the gas payer itself could become another correlation vector. So gas isn’t just a UX issue here. How gas is funded and relayed is part of the privacy model. Then there are the swaps. The live version I tested currently allows ETH ↔ USDT swaps using shielded funds inside the private pool. The documentation also describes shielded swaps and ERC-20 support. This is where I think Nullmask becomes significantly more interesting than a traditional mixer. You don’t necessarily have to: shield → wait → withdraw You can instead: shield → hold privately → send privately → swap privately → continue operating privately → withdraw when you actually want to return to the public chain That starts looking much more like a private DeFi environment than a mixer. Another part worth mentioning is Points. The live product includes a points system tied to usage, with points intended to play a role in future ecosystem rewards/airdrops. I’d personally wait for the final distribution mechanics before assigning any monetary value to those points, but from a product perspective, it creates an incentive for people to actually use the privacy infrastructure rather than simply hold solana:HuAXPyDWDaMYFKuwQHpqL1oPnj93zdzWmtvFGzCeCUa7 and speculate. There’s also a broader multichain thesis here. The documentation describes Nullmask across multiple EVM environments, making the long-term idea much bigger than a privacy application isolated to a single chain. From a technical perspective, what impresses me most after using the actual product is that several different layers have been combined into one relatively understandable UX: existing wallet authorization AML / deposit screening shielded UTXO state client-side ZK proofs relayer execution privacy waves / timing protection shielded transfers shielded swaps different withdrawal strategies gas management points / usage incentives The underlying technology is obviously much more complicated than what the average user sees, but that’s exactly the point. Good privacy infrastructure shouldn’t require the average person to understand Merkle trees, commitments, nullifiers or ZK circuits just to make a private transaction. And after testing the live product, the biggest difference versus what I was analyzing before launch is that I no longer have to judge Nullmask purely from a whitepaper or PoC. There is now an actual product to interact with. What I’ve tested so far is consistent with the architecture Nullmask has been describing: shield funds, enter a private UTXO environment, transact within that shielded state, swap shielded assets and eventually choose how and when to exit. That doesn’t mean I’m ready to claim the protocol is cryptographically bulletproof. A working frontend and successful transactions do not replace independent audits. I still want to dig further into the production contracts, ZK circuits/verifier, nullifier enforcement, relayer infrastructure, AML/revocation model and exactly how the privacy/wave indicators shown by the UI are calculated. Those are important distinctions between a product that works and a privacy protocol whose security guarantees have been independently validated. But as a product review? This is very close to what I wanted Nullmask to ship. The easiest way I can describe my thesis after actually using it is: Nullmask isn’t trying to give you somewhere to temporarily hide your funds. It’s trying to give your existing wallet an entire private financial environment. Shield privately. Hold privately. Send privately. Swap privately. Choose when and how you return to the public chain. Now the real test begins: adoption, liquidity, anonymity set growth, volume and how the infrastructure performs as more users enter the system. But technologically, there is finally something real here to evaluate. solana:HuAXPyDWDaMYFKuwQHpqL1oPnj93zdzWmtvFGzCeCUa7
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Loops Digital Infinite 🏴‍☠️ retweeted
Early Adopters Program Nullmask Points launch next week. Anyone who uses Nullmask from launch day is an Early Adopter: their activity is credited retroactively, so they start the Points program with a balance, not from zero. Window Opens at product launch. Closes at the Points launch block. The exact block height will be published when Points go live. What counts Private transfers and swaps completed through Nullmask during the window, weighted by volume and genuine use. Exact weightings are not published to keep the program resistant to farming. Self-transfers, circular flows (e.g., repeated shield/unshield of the same funds), and activity across linked wallets do not qualify. Early Adopter multiplier All qualifying activity in the window earns 2× the standard rate. Attribution Points are credited to the signing key used with Nullmask, not to any on-chain address. No transaction details are made public, and Early Adopter credit does not alter what is visible on-chain. No action required There is no registration or claim step. Early Adopter points appear in your dashboard on Points day one. Limits A per-wallet cap applies to Early Adopter points. Nullmask reserves the right to adjust weightings or exclude activity for the Early Adopter window where it is inconsistent with genuine use.
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