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0xr1
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0xr1

厳選トピック確認済+
I RedOne I Network and Systems Engineer | IT Specialist | AI Orchestrator | Cybersecurity & Blockchain enthusiast | 😎🤞🏻
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#Clawton 👉🏻 の初回エンドツーエンドテストが完了。 😁😎🤳 意図 → ニュートン・ポリシーチェック → Binance 実行。すべてをつなぎ合わせました。 有効な取引(出費上限の範囲内):許可 → Binance テストネットで約定。 同じ取引を 10 倍の規模で:拒否 → Binance に一度も触れていません。 エージェントは何でも提案できます。実行するのはポリシーだけです。 @NewtonProtocol によって稼働
#Clawton 👉🏻 の初回エンドツーエンドテストが完了。
😁😎🤳

意図 → ニュートン・ポリシーチェック → Binance 実行。すべてをつなぎ合わせました。

有効な取引(出費上限の範囲内):許可 → Binance テストネットで約定。

同じ取引を 10 倍の規模で:拒否 → Binance に一度も触れていません。

エージェントは何でも提案できます。実行するのはポリシーだけです。

@NewtonProtocol によって稼働
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翻訳参照
🇪🇸 Spain vs France 🇫🇷 | The Ultimate Clash of Titans! ⚽🔥 The football world stands still as two European giants face off in an absolute blockbuster! This isn't just a match; it’s a battle for tactical supremacy, pride, and glory. 🏆 Will the Spanish Matadors orchestrate the pitch with their mesmerizing, fluid passing and young energy? Or will the French Les Bleus break through with their explosive pace, rock-solid experience, and sheer star power? 🌟 Tactical Battlegrounds: The Midfield Engine: Can Spain's creative midfield dominate possession against France’s highly disciplined, physical setup? The Counter-Attack Threat: Will France's lethal frontline exploit the spaces left behind by Spain's high-pressing style? Who’s going to win 🤔😁 #BinancePickAndWin
🇪🇸 Spain vs France 🇫🇷 | The Ultimate Clash of Titans! ⚽🔥

The football world stands still as two European giants face off in an absolute blockbuster! This isn't just a match; it’s a battle for tactical supremacy, pride, and glory. 🏆

Will the Spanish Matadors orchestrate the pitch with their mesmerizing, fluid passing and young energy? Or will the French Les Bleus break through with their explosive pace, rock-solid experience, and sheer star power?

🌟 Tactical Battlegrounds:
The Midfield Engine: Can Spain's creative midfield dominate possession against France’s highly disciplined, physical setup?
The Counter-Attack Threat: Will France's lethal frontline exploit the spaces left behind by Spain's high-pressing style? Who’s going to win 🤔😁

#BinancePickAndWin
France 🇫🇷
Spain 🇪🇸
23 残り時間
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Binance MENA
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[終了] انضموا إلى البث المباشر لحفل 9YA
閲覧数:7.3k
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Charts and Candles: TradeFi Deep Dive, Practical Approach 🎙️🎙️🎙️ #ChartsAndCandles
Charts and Candles: TradeFi Deep Dive, Practical Approach 🎙️🎙️🎙️

#ChartsAndCandles
Binance Africa
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[リプレイ] 🎙️ チャートとローソク足:TradeFiディープダイブ、実践的アプローチ。
02 時間 07 分 24 秒 · リスナー数:3.1k人
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🔥🔥🔥
🔥🔥🔥
Binance Square Official
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[リプレイ] 未来は、CZ、Yi、そしてRichardとともに、あなたが創る。
56 分 07 秒 · 閲覧数:146.5k
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翻訳参照
Binance Square Official
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[リプレイ] 未来は、CZ、Yi、そしてRichardとともに、あなたが創る。
56 分 07 秒 · 閲覧数:146.5k
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翻訳参照
The CEX vs DEX debate misses a third option that’s becoming more relevant: hybrid architecture. Centralized exchanges give you speed and a familiar UX, but you’re trusting a custodian with your funds. Pure DEXs give you self-custody, but most sacrifice execution speed and add friction that active traders can’t tolerate during volatile markets. grvt_io sits in between by design a self-custodial exchange built as an Appchain on zkSync Era. You keep control of your assets like on a DEX, but get CEX-level speed and order execution because settlement happens through zero-knowledge proofs rather than slow on-chain confirmations. It’s not a compromise between the two models, it’s a different approach to solving the same problem: how do you get speed without giving up custody. #grvt @grvt_io
The CEX vs DEX debate misses a third option that’s becoming more relevant: hybrid architecture.

Centralized exchanges give you speed and a familiar UX, but you’re trusting a custodian with your funds. Pure DEXs give you self-custody, but most sacrifice execution speed and add friction that active traders can’t tolerate during volatile markets.

grvt_io sits in between by design a self-custodial exchange built as an Appchain on zkSync Era. You keep control of your assets like on a DEX, but get CEX-level speed and order execution because settlement happens through zero-knowledge proofs rather than slow on-chain confirmations.

It’s not a compromise between the two models, it’s a different approach to solving the same problem: how do you get speed without giving up custody.

#grvt @grvt_io
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Binance LATAM Official
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🎉 Hace 9 años comenzó una idea.

Hoy somos una comunidad de más de 300 millones de usuarios que aprendemos, construimos y crecemos juntos.

En estos 9 años vimos nacer nuevos productos, más oportunidades y nuevas formas de acercar las finanzas digitales a millones de personas.

Pero el mayor logro nunca han sido los números...💛 Han sido ustedes.

Gracias por ser parte de esta historia.

Lo mejor aún está por venir.

#BinanceTurns9 #BuiltByYou
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記事
翻訳参照
Why This Matters: Trust-Minimized Enforcement at ScalePull back from the individual features, and NewtonProtocol’s actual pitch is about removing a category of blind trust that on-chain finance has quietly depended on for years. Vaults ask depositors to trust that offchain risk rules are actually being followed. Stablecoin issuers ask regulators and users to trust that compliance checks are happening somewhere behind the scenes. AI agents ask everyone to trust that a system prompt is an adequate substitute for a hard technical guardrail. Newton’s answer across all three is the same pattern: represent the action as an intent, evaluate it against a transparent, auditable policy through a decentralized operator network, and only proceed once a cryptographic attestation confirms the policy was actually enforced — not just claimed. Whether that policy encodes vault risk limits, sanctions screening, or an AI agent’s spending cap, the enforcement mechanism underneath is the same verifiable layer. That’s the throughline worth remembering across Newton Mainnet Beta: it’s not a single product for a single use case, it’s a general-purpose authorization layer that vaults, payment networks, RWA platforms, and autonomous agents can all build on top of, each with their own policies but the same underlying guarantee. @NewtonProtocol $NEWT #Newt

Why This Matters: Trust-Minimized Enforcement at Scale

Pull back from the individual features, and NewtonProtocol’s actual pitch is about removing a category of blind trust that on-chain finance has quietly depended on for years. Vaults ask depositors to trust that offchain risk rules are actually being followed. Stablecoin issuers ask regulators and users to trust that compliance checks are happening somewhere behind the scenes. AI agents ask everyone to trust that a system prompt is an adequate substitute for a hard technical guardrail.
Newton’s answer across all three is the same pattern: represent the action as an intent, evaluate it against a transparent, auditable policy through a decentralized operator network, and only proceed once a cryptographic attestation confirms the policy was actually enforced — not just claimed. Whether that policy encodes vault risk limits, sanctions screening, or an AI agent’s spending cap, the enforcement mechanism underneath is the same verifiable layer.
That’s the throughline worth remembering across Newton Mainnet Beta: it’s not a single product for a single use case, it’s a general-purpose authorization layer that vaults, payment networks, RWA platforms, and autonomous agents can all build on top of, each with their own policies but the same underlying guarantee.
@NewtonProtocol $NEWT #Newt
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Newton’s stated goal is bringing a slice of the ~$250T global investable asset market onchain, starting with vaults and scaling toward RWAs, stablecoins, and AI agents through an Internet of Policies. @NewtonProtocol $NEWT #Newt
Newton’s stated goal is bringing a slice of the ~$250T global investable asset market onchain, starting with vaults and scaling toward RWAs, stablecoins, and AI agents through an Internet of Policies.

@NewtonProtocol $NEWT #Newt
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Binance Square Official
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Binance 9年:あなたとともに築き、あなたとともに祝おう!
2026年7月14日(UTC 1:00)にSquareで開催されるリーダー陣と特別ゲストのライブに参加しよう。報酬として9,000ドル分の株式をプレゼントします。

参加方法:
  1. TelegramやDiscordなど、オンラインのBinanceコミュニティに参加してください。例:Binance English、Binance Discord、Binance Arabic、Binance MENA English
  2. クイズを解いて、surveyのフォームから回答を提出します。このフォームはSquare Streamの間に共有され、アクティビティ期間中にコミュニティグループに投稿されます。
  3. 前述のコミュニティチャンネルで、#BinanceTurns9 のハッシュタグを使って質問を話し合いましょう。

ここでリマインダーを設定👇
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Binance Africa
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[リプレイ] 🎙️ ビナンス流:トレードフィーへの入門
02 時間 20 分 24 秒 · リスナー数:3.1k人
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翻訳参照
Most decentralized exchanges force a tradeoff: either you get real security or you get real speed, rarely both at once. What stood out to me looking into grvt_io is how they've approached that tradeoff architecturally. Grvt runs as a dedicated Appchain on zkSync Era, which isn't just a branding choice — it means every trade benefits from zero-knowledge proofs for privacy and settlement security, without the latency hit that usually comes with on-chain execution. Single-digit millisecond response times and throughput built for real trading volume, not just testnet demos. It's a self-custodial CEX model — you keep control of your assets while still getting a centralized-exchange-level trading experience. Combine that with third-party audits (Spearbit DAO, NCC Group) and it's a more serious take on what "on-chain trading" should actually mean. Worth watching how this scales as volume grows. #grvt @grvt_io
Most decentralized exchanges force a tradeoff: either you get real security or you get real speed, rarely both at once. What stood out to me looking into grvt_io is how they've approached that tradeoff architecturally.

Grvt runs as a dedicated Appchain on zkSync Era, which isn't just a branding choice — it means every trade benefits from zero-knowledge proofs for privacy and settlement security, without the latency hit that usually comes with on-chain execution. Single-digit millisecond response times and throughput built for real trading volume, not just testnet demos.

It's a self-custodial CEX model — you keep control of your assets while still getting a centralized-exchange-level trading experience. Combine that with third-party audits (Spearbit DAO, NCC Group) and it's a more serious take on what "on-chain trading" should actually mean.

Worth watching how this scales as volume grows.

#grvt @grvt_io
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翻訳参照
NEWT’s genesis allocation is 60% Community (grants, network rewards, treasury) and 40% Internal (core contributors, early backers, Magic Labs) — with internal allocations locked for 12 months before vesting. @NewtonProtocol $NEWT #Newt
NEWT’s genesis allocation is 60% Community (grants, network rewards, treasury) and 40% Internal (core contributors, early backers, Magic Labs) — with internal allocations locked for 12 months before vesting.

@NewtonProtocol
$NEWT
#Newt
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記事
翻訳参照
Network Fees, Operator Rewards, and SlashingNewtonProtocol’s economic security model rests on operators having real skin in the game. Operators stake NEWT to join the network and earn fees for evaluating policies — fees that get distributed proportionally based on actual contribution, including WASM computation, external data-provider calls, and bandwidth used, not just a flat per-operator split. That same stake is what gets slashed if an operator misbehaves: submitting an invalid attestation, going offline when it shouldn’t, or otherwise failing to do its job correctly. Challengers add another layer of accountability — they can stake NEWT specifically to dispute an operator’s evaluation during a challenge window, and if the dispute is upheld, the challenger is rewarded while the operator faces slashing. The Newton Foundation is explicit that none of this — operator fees, staking rewards, challenge rewards — is structured or intended to function as interest, a dividend, or any kind of investment return. It’s compensation for doing real, verifiable work (evaluating policies, securing the network, catching bad actors), which is a meaningfully different design than yield marketed purely as a return on holding a token. $NEWT #Newt @NewtonProtocol

Network Fees, Operator Rewards, and Slashing

NewtonProtocol’s economic security model rests on operators having real skin in the game. Operators stake NEWT to join the network and earn fees for evaluating policies — fees that get distributed proportionally based on actual contribution, including WASM computation, external data-provider calls, and bandwidth used, not just a flat per-operator split.
That same stake is what gets slashed if an operator misbehaves: submitting an invalid attestation, going offline when it shouldn’t, or otherwise failing to do its job correctly. Challengers add another layer of accountability — they can stake NEWT specifically to dispute an operator’s evaluation during a challenge window, and if the dispute is upheld, the challenger is rewarded while the operator faces slashing.
The Newton Foundation is explicit that none of this — operator fees, staking rewards, challenge rewards — is structured or intended to function as interest, a dividend, or any kind of investment return. It’s compensation for doing real, verifiable work (evaluating policies, securing the network, catching bad actors), which is a meaningfully different design than yield marketed purely as a return on holding a token.
$NEWT #Newt @NewtonProtocol
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🎙️ ETH多还是空?
avatar
終了
04 時間 01 分 40 秒
25.2k
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$NEWT は単なるティッカーではありません,,,,,オペレーターはネットワークを保護するためにそれに賭け、アプリはポリシー評価手数料をそれで支払い、異議申し立て者は不適切な評価に異議を唱えるためにそれに賭け、保有者は最終的にそれを通じてプロトコルのパラメータをガバナンスします。 @NewtonProtocol #Newt
$NEWT は単なるティッカーではありません,,,,,オペレーターはネットワークを保護するためにそれに賭け、アプリはポリシー評価手数料をそれで支払い、異議申し立て者は不適切な評価に異議を唱えるためにそれに賭け、保有者は最終的にそれを通じてプロトコルのパラメータをガバナンスします。

@NewtonProtocol #Newt
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記事
zkTLS:検証可能なWebデータをオンチェーンへオンチェーンのポリシー執行における難しい問題の一つは、通常のWebセッションの中だけに存在するデータ(たとえばソーシャルメディアのフォロワー数)を、誰かが報告してくるものをそのまま信用するのではなく、適切に扱うことです。NewtonProtocolのzkTLSアプローチは、TLSNotaryのプロルーフでこれに取り組みます。ブラウザベースのフローにより、実際のTLSセッションの暗号学的なプロルーフ(たとえばTwitter/XのAPIエンドポイントへのリクエスト)を生成し、そのプロルーフがコンテンツ識別子(content identifier)として保存・参照されます。 そのプロルーフは、対応するポリシー入力とともにNewtonのタスクとして、トランザクションの意図(transaction intent)と一緒に送信されます。ポリシーは評価の中で、たとえばアカウントのフォロワー数が設定された閾値を超えているかどうかを確認し、その結果に基づいて関連するトランザクションを承認するかどうかを決定します。また、プロルーフの取得プロセスで、返されたバイト列が期待されるコンテンツ識別子と実際に一致していることを再検証するため、侵害された、または誤設定されたゲートウェイがこっそり別のデータにすり替えることができません。

zkTLS:検証可能なWebデータをオンチェーンへ

オンチェーンのポリシー執行における難しい問題の一つは、通常のWebセッションの中だけに存在するデータ(たとえばソーシャルメディアのフォロワー数)を、誰かが報告してくるものをそのまま信用するのではなく、適切に扱うことです。NewtonProtocolのzkTLSアプローチは、TLSNotaryのプロルーフでこれに取り組みます。ブラウザベースのフローにより、実際のTLSセッションの暗号学的なプロルーフ(たとえばTwitter/XのAPIエンドポイントへのリクエスト)を生成し、そのプロルーフがコンテンツ識別子(content identifier)として保存・参照されます。
そのプロルーフは、対応するポリシー入力とともにNewtonのタスクとして、トランザクションの意図(transaction intent)と一緒に送信されます。ポリシーは評価の中で、たとえばアカウントのフォロワー数が設定された閾値を超えているかどうかを確認し、その結果に基づいて関連するトランザクションを承認するかどうかを決定します。また、プロルーフの取得プロセスで、返されたバイト列が期待されるコンテンツ識別子と実際に一致していることを再検証するため、侵害された、または誤設定されたゲートウェイがこっそり別のデータにすり替えることができません。
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