# Сопутствующие статьи по теме Research

Новостной центр HTX предлагает последние статьи и углубленный анализ по "Research", охватывающие рыночные тренды, новости проектов, развитие технологий и политику регулирования в криптоиндустрии.

OpenAI Bets on 'Robot Army': 23-Year-Old Prodigy Wins Favor from Sam Altman

While OpenAI adjusts its video strategy, Sam Altman is setting his sights on the more ambitious field of "multi-agent systems." According to The Wall Street Journal, OpenAI has secretly invested in Isara, an AI startup founded by 23-year-old researchers Eddie Zhang and Henry Gasztowtt. Despite being established only in June last year in San Francisco, Isara has already recruited over a dozen top researchers from Google, Meta, and OpenAI itself, forming a highly skilled technical team. Isara’s core vision is to develop a system that enables thousands of AI agents to collaborate efficiently. While individual AI assistants are powerful, they often struggle with large-scale industrial challenges such as biotech R&D or complex financial modeling. Isara aims to solve this by creating a framework where diverse AI agents can communicate, align goals, share data, and tackle interconnected problems—functioning like a coordinated "robot army." This multi-agent approach is seen as a critical step toward Artificial General Intelligence (AGI). OpenAI’s endorsement signals industry recognition of distributed intelligence. In biopharma, the system could simulate thousands of protein-folding pathways, with specialized agents identifying patterns. In finance, it could perform real-time stress tests using global market data. Led by young innovators, this shift suggests the next breakthrough in AI lies not in building larger models, but in enabling smarter collective intelligence.

marsbit03/26 02:32

OpenAI Bets on 'Robot Army': 23-Year-Old Prodigy Wins Favor from Sam Altman

marsbit03/26 02:32

From FOMO to Implementation: A Review of the Current State of AI Services in Crypto Companies

From FOMO to Implementation: A Look at Crypto Companies' AI Services Cryptocurrency companies, from exchanges to security firms, are rapidly integrating AI-driven services, driven by FOMO (fear of missing out) rather than just hype. Unlike previous cycles, established players like Coinbase and Binance are leading the charge, treating AI as a business necessity rather than a narrative. Key sectors adopting AI include: - **Research**: Projects like Surf AI address crypto's fragmented data problem by offering specialized tools that aggregate on-chain data, social sentiment, and metrics, providing accurate, crypto-specific insights. - **Trading**: Exchanges are leveraging AI to allow natural language commands for analysis and execution, lowering the barrier for non-developers to create automated strategies via AI agents. - **Security/Audit**: Firms like CertiK use AI to enhance smart contract audits by combining automated code scanning with human review, and adding post-audit monitoring to cover previous blind spots. - **Payment Infrastructure**: Companies are developing protocols for AI agents to make on-chain payments, using stablecoins for API fees or services, with Circle’s proposal for AI-agent payments gaining attention. The push is fueled by AI advancements like MCP and OpenClaw, which make agent-based automation accessible. However, the adoption gap between "having functionality" and "actual usage" remains, with questions about user trust in AI for real trading or payments. Ultimately, crypto firms are acting to avoid obsolescence in the AI era, though real-world utility is still evolving.

比推03/17 18:08

From FOMO to Implementation: A Review of the Current State of AI Services in Crypto Companies

比推03/17 18:08

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