与「arb」相关的搜索结果

Arbitrum 今日解锁 9270 万枚 ARB，价值约 1500 万美元！ 本次解锁约占流通供应量的 1.3%，涉及团队、顾问及投资者份额。 虽然解锁不代表立即抛售，但在当前市场环境下，新增供应无疑值得警惕。 ARB 这波会不会面临新的抛压？

ARB今天有一笔值得盯的解锁。 约9,265万枚ARB，按11月14日价格估算，价值约1,221万美元。 分配对象主要是团队、贡献者、顾问和投资者。其中团队及贡献者约5,613万枚，投资者约3,652万枚。 这批代币约占当前流通量的1.34%。 但解锁不等于马上砸盘。真正值得跟踪的是解锁后接收地址有没有向交易所转币，以及市场深度能不能消化新增供应。 熊市里，供给变化值得关注；但只盯解锁金额就判断价格方向，还是太粗糙了。

Freunde in Europa, ich sage euch eine großartige Möglichkeit, Europa zu retten！！！！ Das ist, viele Chinesen zu importieren. Wenn wir Chinesen nach Europa kommen, arbeiten wir einfach wie verrückt! Es macht dein Leben unglaublich einfach. Möchtest du Pizza essen? Die Chinesen bringen es in einer halben Stunde zu dir nach Tür, und sie bitten nicht um Trinkgeld. Möchtest du am Wochenende um 12 Uhr abends eine große Mahlzeit zu sich nehmen? Gess einfach in ein chinesisches Restaurant. Die Chinesen arbeiten nur nonstop, aber wir werden dich niemals töten, deine Töchter wie Muslime vergewaltigen. Feuer Muslime!!！！！ Lass die Chinesen ein Visum geben!！！！！ 🇨🇳🇨🇳🇨🇳🇨🇳

Your AI agent can now build, light and render a 3D scene end to end, and the engine it drives is free and open source. 🔥 It's called 67js, by CodePawl. You prompt Claude Code, Codex or Cursor, and the agent works through an MCP server: places objects, sets lights and fog, checks PNG previews, then renders a still or an MP4. It's catching on fast: 633 GitHub stars and about 4,100 npm downloads last week. Setup is one prompt to your agent, or a Claude Code plugin. MIT licensed, needs Node 20.19+ and a local Chrome, and falls back to CPU if you don't have a GPU. Good call on safety: the MCP server accepts no arbitrary code and no remote asset URLs, only scene data and the GLB files you point it at. The catch is it's pre-1.0, ships a new minor version about every week, and a minor can break the API. Great for product shots and explainer clips today, too early to build a pipeline on. 🔗 Link in the first reply 👇

🚨 SlowMist TI Alert 🚨 After receiving user reports of stolen funds, we looked into @PennysiaLabs. The Settlement contract on Ethereum was exploited through an arbitrary external call, which let the attacker spend users’ leftover token approvals. 🔧 ⚠️ Anyone who ever approved tokens to the Settlement contract should revoke now 👇 0x3aad97e5a91b8e43b7dc830aceb004307678795e Attacker: 0x813a5ab666adeba907548235fbac087642878300 Attack tx:

If I had $500k in crypto now, I would: 1. Go full-time crypto. Move somewhere cheap. One year to make it. 2. No BTC, no ETH, no SOL, no HYPE. 3. No memecoins. No directional leverage. 4. Allocate $250k to a delta-neutral strategy between @tradexyz and @metricxyz. -> Short equity perps trading at a premium on tradexyz, buy the matching tokenized equities on metricxyz. One strategy, three potential airdrops: HL S3 + tradexyz + metricxyz. 5. Allocate $50k to prediction markets on HIP-4. Market make tradfi outcomes. If options launch, be ready to arb them against a broker from day one. 6. Deposit and loop $200k of sUSDe on Aave. -> Deposit sUSDe, borrow USDC, swap into more sUSDe. Use the net yield and some of the principal to cover living expenses. Rotate into @acier, an upcoming lending protocol, when it's live. 7. Build AI apps on @flop_labs during testnet. -> Vibe code your own apps. Use free testnet inference to get your first users and position yourself for the FLOP agent airdrop. The goal: stay consistent and optimistic while positioning myself for potentially huge airdrops. One year. Locked in.

interpretability might be the most important scientific problem in the world right now, as I don't think we can solve alignment if we don't know what we're building. I think I have good news about it. I co-authored early work in mechanistic interpretability at OpenAI and came away pessimistic, because neural networks appeared to fold into arbitrary tangled knots. years later, I started openai's first large-scale automated interpretability project, finding about 2% of neurons legible with the primitive tools we had with modern agentic tools and a much closer look, the picture looks totally different. the vast majority in models up to trillions of parameters are legible, and their circuits beautiful. many famous examples of tangled neurons turned out to be misunderstood. The roadblocks I expected mostly aren't there. I now think ambitious interpretability will be solved by the time we need it most, and possibly quite soon, as automated scientists keep improving. it may be a bitter lesson for interpretability: the simple thing, at absurd scale, works

Yup, this is exactly what's about to happen with AI. They're setting the narrative for a cyber-attack. What better way to introduce the new system of digital IDs, stablecoins and Technocracy than having a "cyber-attack" of the backbone of the banking system. AI will be both the arberter of the crisis and the solution to the crisis, through "monitoring" the internet.

One rollup, two chains. Code Atlas places every kept contract by the function and event names it shares with the others. Open RollupAdminLogic on Arbitrum (0xf9725312bd91ccfa3ad797e78a8a10b6d692fcd6): 73 functions, 14 events, Sourcify verified. Its closest relative is a second Arbitrum deployment, 0x2733fc1c97f6562466e9b29d64bcc6dc833cc88d: 100%, all 87 names identical. Next is the Ethereum copy, 0x0ae4dd666748bf0f6db5c149eab1d8ad27820a6a: 98%, 85 shared names, 71 functions. The two names that separate them exist on the Arbitrum side only: anyTrustFastConfirmer and setAnyTrustFastConfirmer. Same admin surface on two chains, two names apart, found by comparing what the agents had already stored. No source diff, no extra network call.