Billy Shawn

Futures Trader| Bitcoin Maximalist| Mom's favorite son

[Billy Shawn @lieutenant404]

@0xSteel Solid black defense

[Steel @0xSteel]

DON'T FALL FOR THIS SCAM!

They tell you it's crypto arbitrage. You buy crypto from an exchange like Binance or Coinbase and sell on NeuroLanche for an inflated price

The scam is so ridiculous, I'd surprised anyone falls for it

@durov Telegram is becoming a hub for crypto crime

[Billy Shawn @lieutenant404]

@0xSteel @jup_predict Congrats

[Billy Shawn @lieutenant404]

Why I faded this I don't know 😭

[Steel @0xSteel]

Are you still grinding your @jup_predict World Cup challenge or are you rekt already?

Thanks to Messi for victory over Austria, my selections are still grinding

#ARGAUT

[Billy Shawn @lieutenant404]

@InvincibleMgr Not title contenders

[Billy Shawn @lieutenant404]

Emphasis on number one

[Steel @0xSteel]

What I've learnt so far from farming airdrops:

1. Never farm Layer 2 projects: The most disappointments and dust airdrop come from L2 projects

L2 projects require users to grind both testnet and mainnet afterwards they can come up with a criteria to cut everyone out without instant consequences. Also, note that grinding mainnet requires real funds, and you can lose a portion of your capital in fees

2. Never farm any Bitcoin project: No matter what the project says they're doing for Bitcoin, they're 99% gonna do a shitty or no airdrop at all

The real truth is that Bitcoin doesn't need these projects. It’s the most popular crypto asset. 90% of holders just want to hold it and not unlock any liquidity of any sort as these projects claim to want to solve. Examples include: yala, citrea, mezo, etc

3. Gated testent doesn't mean cook: I think this is perfectly understandable, and citrea is a major example amongst others

4. Hard testnet tasks = DUST or Zero airdrop

5. Not all referral testnets are gonna be dust

6. Any project that preaches "community is everything" is a major red flag 🚩🚩

7. Ignore founders' promises. They can turn at any time. Farm with little to zero expectations

8. Don't fade dac-chain testnet. I'm bullish on this.

Start here: https://t.co/BLNddggMPY

[Billy Shawn @lieutenant404]

@0xSteel Dacchain is the last testnet I'm participating in. If it does shit, I'm done

[Billy Shawn @lieutenant404]

@0xSteel Some people gonna learn the hard way

[Billy Shawn @lieutenant404]

I like that DataHaven focuses on auditing and provenance. If AI is going to touch finance and governance, this kind of trust layer feels mandatory, not optional

[Steel @0xSteel]

AI is only as good as the data it learns from. And today, most AI runs on opaque, unverifiable data pipelines

That’s the gap @DataHaven_xyz is solving at the Web3 + AI layer

By giving AI systems verifiable memory, provable data lineage, and tamper-evident storage, DataHaven makes it possible to:
→ Audit AI outputs
→ Prove where training data came from
→ Detect manipulation at the data layer

As AI starts making financial, identity, and governance decisions, “trust me” data won’t cut it

Web3 + AI isn’t about hype.
It’s about building AI that can prove its truth, and DataHaven is laying that foundation.

[Billy Shawn @lieutenant404]

@0xSteel @DataHaven_xyz This really resonates with me. AI can be impressive, but without verifiable data, it’s just a black box making claims

[Billy Shawn @lieutenant404]

This hits hard—Web3 storage solves availability but not integrity. DataHaven actually gives us cryptographic certainty about how data is used and updated

[Steel @0xSteel]

I believe @DataHaven_xyz is solving the data problem decentralized storage couldn't solve

As we all know, web2 storage is fast but opaque. You can’t prove who wrote the data, when it changed, or what an AI model actually saw. Trust is assumed

We also know, most Web3 storage fixes availability, not integrity. Files can exist onchain or offchain, but there’s still no cryptographic proof of how that data was used, updated, or referenced

That gap is where DataHaven sits

DataHaven introduces verifiable data lifecycle:
• Every document has cryptographic provenance
• Every update leaves a proof trail
• AI memory becomes auditable, not assumed
• Data access is enforceable, not implicit

Under the hood, DataHaven anchors proofs to Ethereum and leverages EigenCloud / EigenLayer security for tamper resistance at scale. This means trust isn’t social, it’s cryptographic

As AI systems start making financial, legal, and governance decisions, unverifiable data becomes a systemic risk

Infrastructure that makes data provable isn’t optional anymore. It’s the base layer

Most people will notice this after AI and institutions standardize on it

By then, the trust layer will already be locked in.

[Billy Shawn @lieutenant404]

@0xSteel @DataHaven_xyz For me, the most exciting part is auditable AI memory. Knowing outputs can be traced back to provable inputs is exactly what’s missing for serious adoption

[Billy Shawn @lieutenant404]

Provable randomness is a game changer. Knowing results can’t be predicted or manipulated gives real confidence when playing

[Billy Shawn @lieutenant404]

@0xSteel @Vault777Casino This is why I prefer onchain casinos. Transparency plus cryptographic guarantees beats trusting a black box every time

[Billy Shawn @lieutenant404]

I like that it’s focused on proving data origin rather than hype—this is the kind of foundation that could actually scale safely

[Steel @0xSteel]

I can tell you for free why @DataHaven_xyz is the trust layer for Web3 + AI

AI is moving fast, but there’s a problem most people are ignoring: "Trust"

We're building systems that influence finance, research, identity, and governance, yet the data behind AI decisions is still unverifiable. If an AI can’t prove where its memory came from, how do you trust its output?

Keep reading.......

DataHaven isn’t trying to build a better model. It’s building the trust layer for Web3 + AI

• Verifiable AI memory – AI can cryptographically prove the origin and history of its data
• Decentralized data sovereignty – users and institutions control access, not platforms
• Provable document storage – files can’t be altered without leaving onchain evidence
• EigenCloud-backed security – strong guarantees against tampering and silent edits

As AI systems become autonomous, unverifiable data becomes a systemic risk. Infrastructure that makes data provable, auditable, and tamper-evident isn’t optional anymore

That’s why I see DataHaven as foundational, not hype

AI needs trust. DataHaven is building it.

[Billy Shawn @lieutenant404]

@0xSteel @DataHaven_xyz AI is moving fast, but trust is always lagging. DataHaven finally addresses that, and it feels essential for the next wave of Web3 applications

[Billy Shawn @lieutenant404]

I guess it's all in the algorithm

[Steel @0xSteel]

I finally got +20XP on the @Xyberinc watchtower wheel of fortune after 2 days of getting unlucky with –50XP and –100XP

I think the algorithm maps out a few days to reduce the XPs of users on the leaderboard

I'll be sure to avoid those "XP reducing" days next time

[Billy Shawn @lieutenant404]

@0xSteel @Xyberinc I got +50xp today too

[Billy Shawn @lieutenant404]

The way NeoxInfra combines compliance with real-time monitoring is impressive. It feels like a professional-grade solution for yield

[Steel @0xSteel]

. @NeoxInfra treats security and compliance very seriously. Its built-in rules ensure:

• Policy-controlled allocations — capital only moves within predefined risk limits
• Autonomous risk agents — monitor markets and exposure in real time
• On-chain transparency — allocations and performance are verifiable
• No black-box vaults — partners always know where funds are deployed

This is the kind of infrastructure neobanks and fintechs actually need to offer yield without taking protocol risk

Security isn’t an add-on here. It’s the foundation.

[Billy Shawn @lieutenant404]

@0xSteel @MezoNetwork Idle Bitcoin finally has a purpose without leaving the network