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Human teams for sales, support & operations. Helping businesses and AI-powered workflows get tasks done. English + EspaΓ±ol | DM to deploy.

Tijuana, Baja California
Joined January 2025
Photo by AGA Deploy | Human + AI Operations (@AGADeploy)Photo by AGA Deploy | Human + AI Operations (@AGADeploy)Photo by AGA Deploy | Human + AI Operations (@AGADeploy)Photo by AGA Deploy | Human + AI Operations (@AGADeploy)Photo by AGA Deploy | Human + AI Operations (@AGADeploy)Photo by AGA Deploy | Human + AI Operations (@AGADeploy)Photo by AGA Deploy | Human + AI Operations (@AGADeploy)Photo by AGA Deploy | Human + AI Operations (@AGADeploy)Photo by AGA Deploy | Human + AI Operations (@AGADeploy)Photo by AGA Deploy | Human + AI Operations (@AGADeploy)
AGA Deploy | Human + AI Operations retweeted
We're Live! CA: 6woEnPYSbXtMJ2zxb8zStNEeuDpCyFtP7uowPPdQpump
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An 8 billion parameter model doesn't fit in a phone with 8 GB of memory. I tried it a while ago. The phone said no and closed the app... 🧡
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BOAR is 100% free, open-source (MIT license), and runs fully offline on your phone. You don't need a token, an account, or an internet connection to use the app. Audit the code yourself: github.com/rferrari/boar-app πŸ—
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Quiet week, mostly in airplane mode. Testing the next BOAR on phones, no signal: β€’ Qwen3-4B, a batch of questions, every answer with its sources β€’ 4.1–5.7 tok/s (slower as the phone heats up) β€’ nothing leaves the phone Cooking New Release...πŸ—πŸ”₯
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BOAR across your devices. A first look at BOAR on desktop. Your knowledge stays close. Your questions go with you. More soon. πŸ—
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Tiktok found out about tweetcraft 😳
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SKIN, CAPES, GLOW, and RAINBOW text are now in tweetcraft 🫑
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once ASI is here and living somewhere because of "work" becomes pointless, people with money will just move to the nicest places on earth Mediterranean climate, ocean, mountains, good food, beautiful isolated towns places like this are going to become insanely valuable probably worth buying real estate there now
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AGA Deploy | Human + AI Operations retweeted
I put the entire game of Minecraft inside twitter.. with WORKING multiplayer πŸ’€ tweetcraft.jai.vin/r/ti9bwes…
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AGA Deploy | Human + AI Operations retweeted
I don't recommend anyone scramble to move their funds to new wallets today. But we should take the risks to cryptography from AI-accelerated math seriously, and minimize our exposure to not just quantum-vulnerable cryptography, but also potentially AI-vulnerable cryptography. The core new area of risk from this viewpoint is, unfortunately, ML-DSA / FHE / lattices. (and it's also another reason, along with quantum, why ECDSA might fall even faster than expected, hence the "fresh address" recommendation) So far most people have been in the mode of thinking "elliptic curves broken, hashes safe, lattices safe". But there is a good chance that the concrete security of lattices will take serious hits from the next two years of AI math. The basic threat model is: factoring is something that naively takes 2^(n/2) time, but over decades smart people have found and optimized number field sieves, and degraded that to 2^O(n^(1/3)), which is why RSA keys and signatures need to be ~400 bytes (and not 64 bytes). What if there are skeletons in the closet like that, both for elliptic curves and lattices, that we are simply not smart enough to discover - but bots soon will be? This is a major part of the reason why for the past year ethereum's lean roadmap has been going in the "hash-only" direction: no lattices, no ML-DSA, no Falcon, no lattice-based commitments inside ZK proofs, etc. Signatures in lean ethereum are all hash-based, either WOTS or SPHINCS-. For signatures and proofs, we already know how to go hash-only. The bigger challenge is for *public-key encryption* - and this goes far beyond blockchains. Secure communication, anonymizing protocols, lots of things need public-key encryption. And unfortunately there are long-standing mathematical theorems showing why public-key encryption cannot be done with hashes alone. You have to have some kind of trapdoor object that has at least one form of usable "structure" - either group theory (incl. isogenies) or lattices or code-based or potentially in the future even more newfangled and spooky things (local mixing?). But for anything that has structure, you should assume that AI will make at least some progress in breaking that structure. Here, one reasonable inference is that if you want to make something plausibly long-term secure, multiply the key sizes by 10. To me that's a very plausible world and something not at all extreme to predict. If AI will bring us 50 years of math in 2 years, then that 50 years of math may very plausibly include a "naive factoring -> GNFS" level of improvement to our ability to break lattices. In that world, lattices will still exist, but they will have to be significantly bigger to guarantee the same level of safety. And at those new larger sizes, hash-based constructions will beat lattice-based constructions on concrete efficiency in every use case where hash-based constructions are possible at all. Theoretically, of course it's possible that hashes are broken too (eg. P = NP would imply that). But I think P = NP is very unlikely. And intuitively, it's much more likely that a mathematical object has exactly no exploitable structure (like hashes are intended to), than that a mathematical object has exactly ~3 forms of exploitable structure (for elliptic curves: associativity, Schoof, pairings) and not some secret fourth form of structure we have not yet discovered that greatly degrades its security (for elliptic curves, ECDLP and pairing security). Similar for LWE, SVP, RLWE and the zoo of lattice problems. For this reason, we do not yet see any reason to worry and start padding the byte size of hashes (if we start to worry more, we would pad the round count first before doing anything to the byte size). Concrete TLDR, my own personal views: * Hash-based > lattice-based, in those situations where hash-based is possible at all * For anything lattice-based, be much more paranoid on param sizes. Remember that blockchains are only a small portion of the cryptography story; this point goes far beyond blockchains and applies to eg. access to websites, secure messaging, Tor / VPNs ... * For privacy protocols, strongly favor NOT putting encrypted notes onchain. Instead, send them offchain through some third-party mechanism. * If it's not difficult for you, keeping your funds in addresses which have not yet been used to make a transaction is a good idea. If it's easy for you, do it. **But be careful about migrations; I personally have lost more money in botched migrations than I have lost in all hacks combined**. * For multisig wallets, doing confirmations offchain is better than onchain, because this way the signatures of signer wallets do not get exposed to the public, so if ECDSA falls to AI much faster than expected, at least the multisig "gracefully degrades" to a 1-of-1 where the 1 is whoever was gathering the signatures - a much better place to be than "anyone can take the money" firefly.social/post/x/210783…
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RT @crystopher: Zoom out anon. $Cadence will be evolutionary. Who’s going to start building?
AGA Deploy | Human + AI Operations retweeted
BOAR's docs are live. Set up BOAR and learn how it works offline. boarapp.com/docs Your phone. Your knowledge. πŸ—
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Crypto taught us to hold our own keys. Why stop at money? Think about everything you tell an AI: your plans, your worries, your work. Keep it between you and BOAR, on your phone. No server receives your questions. πŸ—πŸ”
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🀯
The people love @XMoney!
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BlackRock’s recognition of x402 reinforces a conviction we’ve been building around at Ethy AI: autonomous agents need open, onchain payment infrastructure. Institutional attention is catching up with the foundations already being built. Still early. Increasingly clear.
Our latest research paper explores the growing connection between AI and digital assets and explains why broad AI adoption may drive new demand, utility and applications across the digital asset economy. blackrock.com/us/individual/…
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Markets are spreading across chains. Privacy shouldn’t stop at one. Covenants are built to bring private, condition-based intent across the networks where onchain markets live. That’s the roadmap to Encrypted Markets.
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πŸ‘
Introducing genius.fun, a new launchpad on @BNBCHAIN. The first venue where tokenized shares can be unwrapped and used to takeover real, public companies. 🧠 Powered by @GeniusFDN.
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AGA Deploy | Human + AI Operations retweeted
Circle is building @arc for global finance. Naturally, CT wants to know where the casino is. Public mainnet is scheduled for September 16, 2026. Gas is paid in USDC. Here’s a starter map of the retail side before launch. LAUNCHPADS & TERMINALS Minara (@minara) β€” Arc launchpad. Act.fun (@actfunxyz) β€” Launchpad and DEX. Warp / Circlewarp (@circlewarp) β€” Omnichain launchpad with a shared bonding curve. Flipt (@Fliptfun) β€” Bonding-curve launchpad. The Cusp (@thecusp_) β€” Launchpad and DEX. Klik (@klik_evm) β€” Permissionless omnichain launchpad. Sharc (@SharcFun) β€” Launchpad, screener and OTC. Archemist (@Archemistdotfun) β€” Launchpad and DEX. Lift (@liftdotfun) β€” Arc-native memecoin launchpad. Tolly Labs (@TollyLabs) β€” Launchpad and trading terminal. Ten places to launch a token. Whether anyone sticks around to trade it is a different question. TRADING, LIQUIDITY & TOOLS Hibachi (@hibachi_xyz) β€” FX spot and perps. Tower (@TowerExchange) β€” Stablecoin liquidity aggregation. DYOR Swap (@DYORSWAPDEX) β€” Multichain DEX and launchpad. ArcDEXScan (@ArcDEXScan) β€” USDC pool screener. Unstable (@unstable_eco) β€” Stablecoin OTC. Stubly (@Stublydotorg) β€” AI agents. chart.zone β€” Token tracking. KON (@KONswap) β€” Aggregates liquidity across Arc, with bridging and swaps in one interface. BIGGER APPS TO WATCH Fomo (@fomo) β€” Social-first crypto trading. OpenSea (@opensea) β€” NFT marketplace; listed for day-one support in the ecosystem roundup. Uniswap (@Uniswap) and Aerodrome (@aeroxyz) β€” Trading and liquidity protocols included in Circle’s expected day-one lineup. Those are the integrations I’d check first when mainnet opens. An announcement is one thing. Seeing what’s actually available is another. NFTs & GAMES AKA (@akadotfun) β€” DN404 collectibles. Arclings (@ArclingsNFT) β€” Fully onchain 1-bit art. Shadow Ronin (@ShadowRoninARC) β€” Ronin-themed NFTs. Kynera (@KyneraOnArc) β€” PFP collection. Arcadians (@Arcadiansnft_) β€” Sci-fi PFPs. Orixians (@Orixaxyz) β€” Marketplace genesis collection. ARChitects (@ARChitects_xyz) β€” NFT collection. Arch Angels (@ArchAngelsOnArc) β€” Onchain angel NFTs. Arcins (@Arcins__) β€” Sprite collectibles. Arc Citizens (@ArcCitizens) β€” Fully onchain identity PFPs. Arc Punks (@Arc_Punks) β€” Punk-style NFTs. Broke Bookies (@brokeb00kies) β€” Character PFPs. Turtz (@TurtzWTF) β€” Turtle NFTs and browser games. Mimo (@playwithmimo) β€” Story-driven game. Treat these as research leads. Check mint dates, supply and pricing directly with each team. A pre-launch list is not a mint calendar. The thing I’m curious about is where people actually end up. Which launchpad gets used? Where does liquidity settle? Which collections build a community that lasts longer than the mint? Having ten places to launch a token doesn’t tell us whether anyone will stick around to trade it. And Circle building the chain doesn’t mean Circle has vetted every random app on it. Maybe Arc gets its own Robinhood moment. Maybe we get a week of launchpads launching tokens about other launchpads. Worth paying attention. Not worth switching your brain off.
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Plasma One Trillion
Plasma One is live now. Join in the next 7 days and get the Core tier free for your first year. Over $1,000 in value, reserved for early users.
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