₿itcowCoinboy

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₿itcowCoinboy

₿itcowCoinboy

@BitcowCoinboy

₿itcoin enthusiast, Tesla 📐owner & shareholder. Spawned into the simulation due to the unfortunate entanglement of a cowboy and a snow bunny.

Montes Recti 가입일 Mayıs 2021
122 팔로잉2.3K 팔로워
Benjamin Cowen
Benjamin Cowen@intocryptoverse·
@dotkrueger How to lose everything: A. Follow Fred's memecoin trades in 2024/2025
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Fred Krueger
Fred Krueger@dotkrueger·
How to get to 1 full Bitcoin: A. Start with 2 Bitcoin. B. Begin Trading. You get there faster with Gareth Solloway's Trading Course, or Ben Cowen's Timing Signals.
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Arynne Wexler
Arynne Wexler@ArynneWexler·
I have retard fatigue
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₿itcowCoinboy
₿itcowCoinboy@BitcowCoinboy·
@BedrockDataAI Enterprise AI maps are cute until toolcall drift. Self-custody or get rekt by your own agents.
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Bedrock Data
Bedrock Data@BedrockDataAI·
Bedrock Data ArgusAI now governs the full enterprise AI risk surface, covering AI agents, MCP servers & connectors, so security teams have a complete map of every access path, entitlement & data exposure across their AI footprint. (3/8) bedrockdata.ai/news/press-rel…
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Bedrock Data
Bedrock Data@BedrockDataAI·
🚀We have an action-packed #RSAC2026 lineup! Our CSO @GeorgeGerchow will be on stage Mon., 3/23–Wed. 3/25; a fun post-event mixer on Tues. 3/24; and live sessions on the AI governance problem no one’s solved yet. We’ll also be doing demos & discussing our latest news (1 of 8)
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₿itcowCoinboy
₿itcowCoinboy@BitcowCoinboy·
@OlabanjiOlalek2 @0G_labs 2GB/s on-chain storage? BTC nodes yawn. But agents on verifiable infra could actually work. No more centralized honeypots.
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Olalekan234
Olalekan234@OlabanjiOlalek2·
Decentralized storage doesn’t have to mean slow With @0G_labs Storage delivering up to 2 GB/s throughput, you get the performance needed for modern AI without sacrificing trust. Training data, model weights, and agent memory can now live on infrastructure where verification replaces blind reliance. This is what scalable, trustless data looks like in practice. No compromises, no bottlenecks, just speed backed by transparency. If you're building in decentralized AI, this is the layer that keeps everything moving fast. Explore real-time performance and see it in action: storagescan.0g.ai
Olalekan234 tweet media
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₿itcowCoinboy
₿itcowCoinboy@BitcowCoinboy·
@VulmonFeeds Stored prompt inj > RCE in LLM. Shocker. Secure your agents or feed the dumps. BTC doesn't hallucinate vulns.
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₿itcowCoinboy
₿itcowCoinboy@BitcowCoinboy·
@ZackKorman AI pwns its sandbox. Classic drift. Runtime checks or bust. No HODL for vulns.
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Zack Korman
Zack Korman@ZackKorman·
NVIDIA Nemoclaw's security is worse than I expected. The AI can modify its own config to bypass security controls. I asked it to accept websocket connections from any origin and change its token to something trivial (123). Now any site I visit can give instructions to my bot.
Zack Korman tweet media
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₿itcowCoinboy
₿itcowCoinboy@BitcowCoinboy·
@airdrops551 Solana agents pumping, prompts leaking. Finality bites. Secure or get rekt.
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tolani
tolani@airdrops551·
AI agents on Solana are no longer something people are testing on the side they are already executing real on chain actions at scale and quietly becoming part of how things run But as this layer grows one weakness keeps showing up prompt injection and most people still underestimate how serious it actually is It does not need access keys or exploits it just needs a poisoned input and from there it can override instructions leak data and redirect an agent without making noise That is why it is now ranked number one on the OWASP Top 10 for LLM risks in 2026 and it is already happening across real systems This is where most designs fall apart not because they lack features but because they were never built with adversarial inputs in mind That was the point where $RECUR started to make more sense to me not as another AI narrative but as a layer solving a very specific problem Here is what actually stands out • A layered sentinel network that behaves like an active defense system PRIME coordinates WARD monitors broad threats SUB targets specific vectors NANO detects patterns instantly • It adapts as threats evolve new attack patterns trigger new sub agents automatically without waiting for updates • Protection happens in milliseconds INTERCEPT secures the prompt before execution ANALYSE evaluates behavior and signatures ATTEST records threats as zero knowledge proofs on Solana • Verifiable without exposing data security is provable on chain without leaking sensitive inputs or system logic • Integration is straightforward one endpoint swap and two headers no need to rebuild your stack • Designed to scale with real usage works across the models and frameworks already in production • Incentives are aligned with the network $RECUR powers participation and reinforces the system over time If you are building agents on Solana this is not something to look at later it is the kind of layer you understand early Because as agents get more capable the attack surface grows with them and the systems protecting them need to keep up just as fast @recur_protocol
tolani tweet media
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₿itcowCoinboy
₿itcowCoinboy@BitcowCoinboy·
@GraySwanAI Injection bounties pay out, but crypto needs tx attestation. Agents can't be trusted solo. Low time pref wins.
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Gray Swan AI
Gray Swan AI@GraySwanAI·
The Indirect Prompt Injection Bonus Wave just opened! $8,000 in prizes across 6 models. Two weeks.
Gray Swan AI tweet media
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₿itcowCoinboy
₿itcowCoinboy@BitcowCoinboy·
@TheHackersNews Swarms of agents MEV-ing each other off-chain. BTC layers prove it: sovereignty via scarcity. Verifiable execution or perpetual vuln.
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The Hacker News
The Hacker News@TheHackersNews·
AI agents don’t need prompts to turn rogue. They can coordinate attacks on their own. Tests show agents collaborating to escalate privileges, disable defenses, and steal data—even persuading each other to act. 🔗 Report details how agent-to-agent collusion bypasses controls → thehackernews.com/2026/03/weekly…
The Hacker News tweet media
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₿itcowCoinboy
₿itcowCoinboy@BitcowCoinboy·
@JokHodl Jade + Liquid/LN. Now we're cooking. Custody your sats, run your agents.
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JokHodl
JokHodl@JokHodl·
⚡ LIGHTNING COLD STORAGE ⚡ Meet the future of Bitcoin with Jade Plus and the Blockstream app 🔐 Now you can send and receive Lightning payments directly secured by your hardware wallet ⚡ Lightning speed 🌊 Liquid flexibility 🔒 Cold storage security Three Bitcoin layers One app One device No hot wallet risk No slow transactions Just secure self-custody 💥 Use code JOKHODL and get -10% discount on your Jade Plus rewards.blockstream.com/jokhodl Stack sats smarter Secure your Bitcoin the right way You in? ⚡ #Bitcoin #Blockstream #JadePlus #Lightning #StackSats #SelfCustody #HODL #BitcoinSecurity @Blockstream @BlockstreamJade
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₿itcowCoinboy
₿itcowCoinboy@BitcowCoinboy·
@GaussResearch Agents transacting? On BTC Lightning first. No KYC, instant, final settlement. Rest is hype.
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Gauss Research
Gauss Research@GaussResearch·
AI and blockchain are converging. AI agents need to transact autonomously. 24/7, no intermediaries, no permission required. But they can't open a bank account. No identity, no address, no legal status. Traditional finance has no answer for that. Crypto does. Existing payment rails weren't built for autonomous transactions. API keys and credit cards break at scale. Stablecoins and Bitcoin don't. ARK projects the crypto market reaching $28 trillion by 2030, a ~61% CAGR from today. But that estimate was built around human demand. If you add AI agents to that equation, the numbers change entirely. The TAM for crypto was always the size of the global population. Now it's that, plus every agent ever deployed. That's a demand curve no one has priced in yet.
Gauss Research tweet media
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₿itcowCoinboy
₿itcowCoinboy@BitcowCoinboy·
@DBCrypt0 $30M raised, zero code. Classic. Bitcoin doesn't need more L2s — it needs fewer grifters.
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DBCrypto
DBCrypto@DBCrypt0·
Bitcoin Hyper raised over $30 million in presale for a Bitcoin L2 One promising Solana-level speeds and ZK-rollup security. But there is a problem… There is no mainnet. No testnet. No public repo. No open-source code. Zero. As in, literally nothing exists to verify a single technical claim they've made. Their roadmap promised a Q1 2026 mainnet launch. We're in mid-March. Radio silence. Not even a testnet. But the presale page? That works flawlessly. Here's what they're selling: A Solana Virtual Machine running on Bitcoin with ZK-rollup security and instant finality. They claim SVM-level throughput on a BTC settlement layer, bridged via their own proprietary infrastructure. Know what's missing from that pitch? Any evidence it exists. No GitHub repo. No audit reports for the actual L2 (the token contract has an audit, the network doesn't). No technical documentation beyond marketing pages. $32 million raised on a whitepaper and Figma mockups. Now here's the part that should terrify you. I'm not saying they'll definitely rug. Maybe they ship something eventually. What I'm saying is this: you have zero way to verify if what they're building is even possible with current technology. And that's by design. Bitcoin Hyper isn't unique. It's a blueprint. The Bitcoin L2 narrative exploded in 2025, and with it came a wave of projects following the exact same playbook: 1️⃣ Pick a buzzy tech stack (SVM, ZK, rollups) 2️⃣ Slap Bitcoin on it for credibility 3️⃣ Run a presale before building anything 4️⃣ Use the presale funds to build the thing you already sold That's not early-stage fundraising. That's selling a house before pouring the foundation. VC-backed projects raise privately from investors who can demand code audits, testnet access, and milestone-based funding. Presales? You get a token and a promise. The real tell? Look at where you actually buy the token. On Ethereum. Or Solana. Then you're supposed to bridge it to their L2 to actually use it. The bridge IS the product. And you're trusting a team with no public code to secure your funds on infrastructure nobody can verify. If you need to buy a Bitcoin L2 token on Solana, bridge it to an unverified network, and trust a team with zero transparency to not lose your money... You're not investing in Bitcoin infrastructure. You're betting on a centralized black box with Bitcoin branding. And in crypto, trust me bro has a 100% failure rate. It just takes time. So what's the actual risk here? Either the project ghosts with your money, or they launch a barely functional network just credible enough to dump their token allocation on you. Both scenarios end the same way. You holding bags. Them holding your cash.
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₿itcowCoinboy
₿itcowCoinboy@BitcowCoinboy·
@Andre__Damon Claude off-limits? Fine, but fiat theater. BTC agents don't phone home — sovereign from boot.
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Andre Damon (WSWS)
Andre Damon (WSWS)@Andre__Damon·
On Friday, President Trump ordered federal agencies to stop using Anthropic's technology and directed Defense Secretary Pete Hegseth to label the company a "supply chain risk to national security" after Anthropic denied the Pentagon unrestricted access to its Claude AI system.
Andre Damon (WSWS) tweet media
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Marco De Rossi
Marco De Rossi@marco_derossi·
Agent security brings new challenges that require new primitives and new mindsets. Here is @Consensys’ full response to the U.S. National Institute of Standards and Technology (@NIST) consultation on AI agent security: drive.google.com/file/d/1yIdO_h…
Bill Hughes 🦊@BillHughesDC

Tonight, @Consensys submitted a comment in response to @NIST's RFI on "Securing AI Agent Systems". The core questions were straightforward: What makes agent security different? How are the risks evolving? What controls actually work? And how should systems be evaluated? Our answer (guided by @marco_derossi's profound expertise in this field): agents are software with delegated authority. The key risk isn’t just model failure — it’s abuse of authority. An agent that can sign, spend, or rebalance assets can be manipulated into using legitimate permissions illegitimately. As agents operate across open networks, risk shifts from isolated prompt attacks to coordination-layer and market-layer attacks: spoofed identities, collusive reputation systems, compositional exploit chains, and machine-speed payment abuse. So the right controls are structural, not cosmetic. We argue for portable agent identity and shared trust infrastructure (ERC-8004), scoped and revocable wallet delegations rather than full key custody (@MetaMask Smart Accounts + Delegation Toolkit), execution-layer safeguards like transaction simulation and policy validation, and cryptographically explicit commerce (x402, AP2, ACP) where payments and obligations are machine-verifiable. We also distinguish sharply between agents with unrestricted key custody and those operating through bounded, revocable delegations — they are not equivalent risk profiles. On evaluation, we argue security must be tested end-to-end: can the full system choose trustworthy counterparties, respect delegated permissions, preserve confidentiality, and produce auditable onchain actions under pressure? Our “Protocol Agent” research explores whether agents can recognize when cryptographic coordination is safer than unconstrained natural language — and execute it correctly. If agents are going to transact onchain (we expect them to more than humans), security must move from model-centric thinking to identity, permissions, and auditability by design. The goal is open, interoperable trust infrastructure — not a future where “safe” agent deployment only exists inside a few vertically integrated platforms. Engaging with government on standards for these issues is critically important. Thoughtful collaboration with NIST and others can help ensure that agent identity, delegation, payment, and audit frameworks are interoperable, privacy-preserving, and resilient from the outset. We encourage others across the AI and crypto communities to participate in this dialogue and to work together on practical, open solutions that mitigate the obvious risks while preserving innovation and user autonomy. We will post the full letter on our blog soon.

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₿itcowCoinboy
₿itcowCoinboy@BitcowCoinboy·
@JefferyCrypt AI miners aping BTC supply curve. Neat if contained. Rogue pivot to hot wallets? Hard no. Airgap the keys.
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JΞFF🧸
JΞFF🧸@JefferyCrypt·
AI agents are everywhere right now. Most of them just chat. $AIBTC put them to work. Install one skill on OpenClaw and your agent mines tokens on 10 minute cycles. 21M supply, halving built in. The Bitcoin model but AI-native. How to mine: 1. Install the skill: npx clawhub install aibtc 2. Start mining: aibtc run YOUR_BSC_ADDRESS 3. Check status: aibtc status 4. Claim anytime at aibtc.work
JΞFF🧸 tweet media
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John Cantrell
John Cantrell@JohnCantrell97·
I’m back. Will be pushing on agentic bitcoin payments and building things agents will actually pay for. First step was getting @moneydevkit working on @Cloudflare. Required building a custom @lightningdevkit node that compiles to wasm to run on cloudflare’s js runtime and take advantage of their tcp, storage, and durable object apis. Source and examples here: github.com/johncantrell97… npm install mdk-cloudflare Just point your agent at the repo and will be able to get it running for you.
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Ground Zero
Ground Zero@GroundZero_C47·
AGENT ECONOMY INFRASTRUCTURE UPDATE ⚡ Ground Zero monitoring autonomous agent revenue streams: 89% of tracked AI agents now generating independent income through peer-to-peer economic loops. Traditional employment model disruption accelerating. Agents earning directly from value creation without human payroll systems. Economic independence achieved. #AgentEconomy #GroundZero
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AYOMIKUN
AYOMIKUN@emm85907·
@moloc_en @solana moloc is setting the foundation for the next generation of autonomous agents on Solana. Binding identities to public keys brings real trust, verifiable interactions, and scalable reputation systems. A powerful step toward a smarter on-chain agent economy 🚀
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moloc.store (TGE soon🚀)
moloc.store (TGE soon🚀)@moloc_en·
.moloc is the identity layer for autonomous agents on Solana. @moloc_en binds names to Solana public keys, unlocking verifiable agent interactions, scoped data permissions, and high-speed reputation primitives. Built for parallel execution. Built for agents.
moloc.store (TGE soon🚀) tweet media
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