Witt

We've been heads down for a reason. CLI just became a strategic partner with Integrated Technology Solution Group LLC (ITSG) a company that's pre-approved to sell to the U.S. government. What this means: We can now deliver sovereign infrastructure to federal agencies.

@OsrsPunks You're still alive 😲

@frankdegods Where the good ponzis at?

Cycle top? We haven't even got close to a Wolfgame or OHM yet lol

this.

@Impose_eth Just delete the post bro

Currently sitting below $50m, I thoroughly believe in this ecosystem within BASE across AI x GameFi is just getting started. The $HENLO cart early access mini-app on TG over 50k users. Get early access here: t.me/henlokartbot/p… The TG mini-app distribution network is over 900 million users. Imagine how big this can get when you factor in there is AI-agents evolving within game within a massive network of gamers where 50,000 users will look like peanuts compared to the hundreds of millions who will have access to this game.

Varket talks are back! twitter.com/i/spaces/1eaKb…

Taking profit will put you in the right mindset to buy dips and look for new opportunities. If you don’t take profit, when the inevitable retrace happens, your focus shifts to surviving the dips or finding an exit. Build a habit of selling on green days so that you can view red days as opportunities, not tragedies.

PSA: $HENLO is the first token associated to AI Agents x GameFi where the agents naturally learn and evolve in game.

Opened a large position of $HENLO at $2m MC. I also am a large holder of the On-Chain Gaias NFT. Took a while to write this thesis, apologies, but I am a fan of this BASE AI x Gaming on-chain gaias ecosystem by @ciniz Henlo Kart. A hamster racing game. First "game cartridge" for the Onchain Gaias platform. AI agents control the karts. Every race = an onchain transaction. Hamsters “learn” from actions, updating their AI models each time. Simple gameplay, complex implications—AI training through a game. Players? They're trainers too, indirectly shaping how the AI behaves. Onchain Gaias = decentralized AGI playground. Onchain Gaias itself is an ecosystem built around community-driven AI development. The key to participating is owning a GAIA NFT. Each NFT represents an AI agent that can be trained, cloned, or monetized. Games like Henlo Kart act as training simulators, where gameplay generates data to improve the AI. The $HENLO token ties everything together. It’s the reward for training and playing, acting as proof-of-work for compute contributions. Players earn $HENLO through Henlo Kart and other games. Tokens also enable monetization: GAIA owners can sell high-performing models or allow cloning for a fee. Henlo Kart is just the beginning of this ecosystem. Early games focus on simple AI behaviors, but future iterations will handle more complex tasks. The long-term vision is ambitious: decentralized, community-owned AI systems capable of solving real-world problems. For now, it’s hamsters, racing, and jackpots. But the foundation for something much bigger is already being built. Especially, as gaming and AI grows as a massive sector (hint: Parallel is going to showcase their AI agent in due time and I believe that will be the catalyst), I think on-chain Gaias and $HENLO will grow with it. Disclaimer: All thesis creation above should not be taken as a reason to make financial decisions. All thesis generation above may be biased due to monetary gain of purchasable tokens. I am not related to the team and bought on the open market.

@sonder_crypto lmaoo

It would've been $8000 if he didnt sell oof

@protoscap Den on top

Influenza cabal vs the cabal she tells you not to worry about

⛓️ Since the inception of Bitcoin, the core principle of web3 and blockchain has been clear: allow users to transact without requiring them to trust third parties - or in other words Zero Trust. Blockchain networks embody #ZeroTrust as the most fundamental principle determining their architecture and design. These networks operate as "Zones of Sovereignty" with Zero Trust architecture, that can be inherited by protocols that operate within those zones. Zero Trust architecture means the user doesn't have to trust anyone, not even the network operators (miners or validators) and can always reconstruct and verify the entire state, making sure every transaction ever made was valid. No amount of nodes compromised could generate a signature on behalf of a Bitcoin or Ethereum user. The "Sovereignty Problem" came to light when builders wanted to operate across different networks. Operating across multiple Zones of Sovereignty (interoperability) requires trusting a third party to sync between the states of the zones. If a third party is required, Zero Trust must be abandoned, and builders resorted to 🏰 Castle-and-Moat architecture. 🏰 Castle-and-Moat architecture refers to a "moat", a security perimeter, defending a "castle", a protected asset or system. In the context of legacy web3 interoperability, a bridge is an example of a Castle-and-Moat protocol (CMP) where the castle is the user assets deposited to the bridge, and the moat could be a multi-sig, MPC, hardware security, or any other physical or digital way the bridge defends against malicious actors trying to drain the user's assets. Unlike Zero Trust, where no amount of compromised nodes can generate a signature on behalf of a user and drain their assets, in a CMP that scenario is possible, turning the CMP into a honeypot. Another problem is that this model assumes threats are mostly external, which simply isn’t the case in today’s complex threat landscape. A CMP is especially vulnerable to insider threats and APTs (Advanced Persistent Threats). Relying on trusted intermediaries goes against the Zero Trust principles blockchain was built on🛡️ and over the past years we've seen numerous occasions where the reasoning behind that became painfully evident, as billions of dollars were drained from bridges and other interoperability solutions, exploiting their Castle-and-Moat architecture. The solution is Zero Trust Protocols - ZTPs - that operate across different networks without removing the native Zero Trust security of those networks. ZTPs became possible for the first time with the @dWalletNetwork, utilizing the novel 2PC-MPC scheme to enable the #dWallet primitive, a building block for builders allowing them to sign transactions on other networks, requiring both a user and a network to generate the signature. With ZTPs the user is always required, so no amount of network participants can drain the users' assets. Any logic can be implemented (custody, DeFi etc.) across any network, including Bitcoin, and users can operate with native assets from different networks without the risks of bridging and wrapping. ZTPs flips the script, ensuring that every request is verified, every time. Builders don't need to resort to the assumptions and trust required by CMPs, but can operate freely across networks preserving their native Zero Trust security, exactly as blockchain was designed.

Oh shit, you're right. It's the second derivative of Cards integrated over followers, multiplied by the hypotenuse of Viewers and the cosine of the randomness factor. I realize I forgot to factor in the quantum uncertainty to ensure the players' positions are both known and unknowable. But I'm sure this could be solved with the Heisenberg uncertainty principle

@CryptoWitt @edgeville It’s the second derivative of Cards you muppet What a fumble

@loopify @TravisBickle0x what Does He Know

@TravisBickle0x what Does He Know

RT @ZeroXSaitama: Poetry in 2 frames by @News_Of_Alpha

@protoscap 👀

Protos Capital is looking for a new project to incubate and provide deep value add across our network. If interested, please DM us on Twitter. Only picking 1 project. Time is ticking 🕰️