2026-04-17 Sexta

Centro de Notícias - Página 1025

Obtém notícias cripto em tempo real e tendências de mercado com o Centro de Notícias da HTX.

Huobi HTX Launches Three Major Benefits Simultaneously: Spot Trading Cashback, Contract "Crypto Deposit" for Passive Earnings, and Leverage Interest-Free for a Limited Time

Huobi HTX Launches Year-End Promotion with Three Major Benefits: Spot Trading Rebates, Contract "Crypto Lending" Earnings, and Leverage Interest-Free Period As the year ends, Huobi HTX has rolled out a major December promotion covering spot, leverage, and contract trading. The campaign offers multiple benefits designed to maximize returns for users with different risk preferences. Key highlights include: - **Contract "Crypto Lending" Top-Up Event**: From December 12–22, users can earn up to 19% APY by activating the U-based contract Crypto Lending feature. New users can receive an 8% bonus interest coupon and random trial funds, while existing users can unlock rewards through cumulative transfers. - **Leverage Holiday Special**: Between December 11–25, users can enjoy 10%–30% fee rebates on leveraged trading. USDC isolated margin trading also offers a limited-time interest-free period, reducing costs for arbitrage and high-frequency strategies. - **Spot Trading Cashback**: From December 15–31, users can get 10%–50% trading fee rebates in HTX tokens, with a maximum reward of $20,000 per person. The rebate applies to new trading volume, including bot and leveraged spot trades. This promotion emphasizes improved capital efficiency, lower costs, and enhanced user experience, providing crypto traders with year-end incentives amid market volatility.

深潮12/17 03:27

Huobi HTX Launches Three Major Benefits Simultaneously: Spot Trading Cashback, Contract "Crypto Deposit" for Passive Earnings, and Leverage Interest-Free for a Limited Time

深潮12/17 03:27

a16z: 11 Intersection Scenarios of AI and Cryptocurrency

The intersection of AI and crypto is reshaping the internet’s economic and structural foundations. As AI drives centralization, crypto offers decentralized, user-owned, and trust-minimized countermeasures. Key convergence areas include: 1. **Persistent Data & Context**: Blockchain enables AI to store and share user context across platforms, improving personalization and interoperability. 2. **Universal Agent Identity**: A portable, blockchain-based identity system allows AI agents to operate across ecosystems with built-in payment and reputation mechanisms. 3. **Proof of Personhood**: Decentralized identity protocols (e.g., Worldcoin) help distinguish humans from AI bots, ensuring authentic interactions. 4. **DePIN for AI**: Decentralized physical infrastructure networks democratize access to compute and energy resources for AI development. 5. **Agent-to-Agent Infrastructure**: Blockchain enables secure, interoperable interactions and payments between AI agents. 6. **Synchronizing “Vibe-Coded” Software**: Crypto provides a shared, incentivized layer to maintain compatibility across AI-generated software. 7. **Micro-Payments & Revenue Sharing**: Blockchain facilitates tiny, automated payments to content creators when AI uses their data. 8. **IP Registration & Provenance**: On-chain systems enable transparent IP ownership, licensing, and derivative use for AI-generated content. 9. **Compensated Web Crawling**: Crypto allows AI crawlers to pay websites for data access, while humans retain free access. 10. **Privacy-Preserving Ads**: Zero-knowledge proofs and micro-payments enable relevant, consensual advertising where users are compensated. 11. **User-Owned AI Companions**: Blockchain ensures users retain control and ownership over personalized AI relationships, avoiding platform dependency. Together, these intersections promise a more open, resilient, and user-centric digital future.

marsbit12/17 03:20

a16z: 11 Intersection Scenarios of AI and Cryptocurrency

marsbit12/17 03:20

I Dropped Out of High School, Learned with AI, and Made a Comeback as an OpenAI Researcher

The article tells the story of Gabriel Petersson, who dropped out of high school in Sweden and eventually became a research scientist at OpenAI working on the Sora video project. He achieved this through a self-directed, AI-powered learning method he calls "recursive knowledge filling." Instead of following a traditional "bottom-up" educational path, he starts with a concrete project and uses AI to deeply understand each component through relentless questioning. He treats AI not as a tool to generate answers, but as an infinitely patient tutor. For example, to learn about diffusion models, he began by asking an AI for the core concepts, then had it generate code. He then interrogated every part of that code, asking "why" and "how" until he built an intuitive understanding from the top down. This method allows him to rapidly acquire the essence of a subject in days rather than years. The author contrasts this with how most people use AI, which often leads to a decline in their own critical thinking and skills, as evidenced by research. The key difference is mindset: using AI as a "co-pilot for thinking" rather than an "answer generator." The article concludes with a five-step framework for applying this method to learn any subject and suggests that this approach could lead to a future of more "one-person companies" where individuals use AI to master multiple disciplines. The core advice is to never stop at the first answer—to keep asking questions.

深潮12/17 02:20

I Dropped Out of High School, Learned with AI, and Made a Comeback as an OpenAI Researcher

深潮12/17 02:20

Roundup: 11 Intersections of Artificial Intelligence and Cryptocurrency

The intersection of AI and crypto is reshaping the internet’s economic and structural foundations. This article explores 11 key areas where blockchain and AI converge to create more open, decentralized, and user-centric systems: 1. **Persistent Data & Context**: Blockchain enables AI to store and share user context across platforms, improving personalization and interoperability. 2. **Universal Agent Identity**: A portable, blockchain-based identity system allows AI agents to operate across ecosystems without platform lock-in. 3. **Proof of Personhood (PoP)**: Decentralized PoP (e.g., World ID) helps distinguish humans from AI, enhancing trust and reducing bot activity. 4. **DePIN for AI**: Decentralized physical infrastructure networks democratize access to compute and energy resources for AI development. 5. **Agent Interaction Infrastructure**: Blockchain protocols enable secure, autonomous interactions and payments between AI agents. 6. **Synchronizing “Vibe Coding”**: Crypto ensures compatibility and incentivizes maintenance of AI-generated software across evolving systems. 7. **Micro-payments & Revenue Sharing**: Blockchain facilitates tiny, automated payments to content creators based on AI-driven attribution. 8. **IP Registration & Provenance**: On-chain IP systems enable transparent ownership and new licensing models for AI-generated content. 9. **Compensated Web Crawling**: Crypto allows AI crawlers to pay websites for data access, preserving free access for humans. 10. **Privacy-Preserving Ads**: Zero-knowledge proofs and micro-payments enable relevant, consensual advertising without violating privacy. 11. **User-Owned AI Companions**: Blockchain ensures user control and censorship-resistant relationships with personalized AI agents. Together, these intersections aim to balance AI’s centralizing tendencies with crypto’s decentralized, user-owned ethos.

深潮12/17 02:19

Roundup: 11 Intersections of Artificial Intelligence and Cryptocurrency

深潮12/17 02:19

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