2026-04-22 Среда

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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

XRP volume surges to $3.6B as Ripple expands Asia strategy

Ripple's expansion in Singapore, including broader regulatory approval from the Monetary Authority of Singapore (MAS) and participation in the BLOOM initiative, has brought XRP back into focus. The company is piloting programmable trade settlement using the XRP Ledger and RLUSD to improve cross-border trade efficiency. Market reaction was swift, with XRP's trading volume surging to $3.6 billion and its price rising to $1.42. While this signals strong bullish interest, the long-term impact depends on whether these regulated initiatives translate into sustained real-world utility and transaction demand.

ambcrypto03/26 02:31

XRP volume surges to $3.6B as Ripple expands Asia strategy

ambcrypto03/26 02:31

The Crisis for Small and Medium-Sized Hotels: Booking's CEO Criticizes Google Gemini and ChatGPT for 'Unfair Practices'

The CEO of Booking Holdings, Glenn Fogel, has issued a strong warning that Google's Gemini and OpenAI's ChatGPT are using their dominant market positions to push small and medium-sized hotels to the brink. Fogel argues that while traditional search allowed users to browse multiple options, AI assistants now often provide only one to three algorithmically filtered "best" recommendations in response to travel queries. This leaves independent hotels, which lack big data resources and dedicated AI optimization teams, effectively invisible in search results. Although Fogel has previously criticized EU regulations like the Digital Markets Act (DMA), he now supports antitrust scrutiny of AI-generated search results. He advocates for audits to ensure that large AI platforms do not unfairly prioritize their own services or those of major corporations that pay high fees. In response to this competitive threat, Booking is investing an additional $700 million by 2026 to develop in-house AI marketing tools and a "Connected Trip" program. The initiative aims to help smaller hotels structure their data to improve visibility across AI platforms, while emphasizing that complex customer service—such as handling flight delays or cancellations—remains a core strength of Booking’s business.

marsbit03/26 02:21

The Crisis for Small and Medium-Sized Hotels: Booking's CEO Criticizes Google Gemini and ChatGPT for 'Unfair Practices'

marsbit03/26 02:21

Kimi, Zhipu, Douban Gather at an Encryption Hackathon: What Did AI Developers Build on Monad?

Monad's "Rebel in Paradise AI" Hackathon, held on March 21, 2026, brought together leading LLM providers like Kimi, Zhipu AI, and Doubao to explore AI agent development on its high-performance parallel EVM blockchain. The event focused on three key areas: Agent Payments, Smart Markets, and Application Innovation, with over $40,000 in prizes and resources. Winning projects included OpenAlice (Grand Prize), a locally run trading agent with transparent workflows; Orbit AI (NVIDIA Special Award), a decentralized AI cloud using satellite GPU clusters; and Kimi-swarm, an open-source multi-agent IDE. Other notable winners were Libra, a Git-like system for machine-written code, and Anime AI Studio, a one-stop anime short film generation agent. The hackathon highlights Monad's strategic push into AI, leveraging its high throughput (10,000+ TPS), low latency, and low-cost infrastructure to support autonomous agent economies. Monad's existing initiatives, like the AI Blueprint program and x402 payment guides, further position it as a key infrastructure for AI and DeFi integration, enabling agents to execute transactions, settle payments, and operate as independent economic entities on-chain.

marsbit03/26 02:15

Kimi, Zhipu, Douban Gather at an Encryption Hackathon: What Did AI Developers Build on Monad?

marsbit03/26 02:15

Cardano Shorts Pile Up As Weekly Rates Reach Multi-Year High

Cardano's price remains under pressure, trading below $0.30 amid heightened bearish sentiment. Data from Santiment reveals a multi-year high in short positions on Binance, indicating traders are betting on further decline. Concurrently, the 365-Day MVRV ratio shows a deeply negative return of -43%, suggesting ADA may be in a potential buy zone. This extreme pessimism often precedes a market bottom, though bullish momentum has yet to materialize despite recent regulatory clarity from the SEC classifying Cardano as a commodity.

bitcoinist03/26 02:02

Cardano Shorts Pile Up As Weekly Rates Reach Multi-Year High

bitcoinist03/26 02:02

Ethereum rises amid West Asia crisis – But this rally isn’t safe

Ethereum's price rose amid de-escalation in West Asia and increased demand from whales, trading at $2,166 with a 1.25% gain. However, trading volume dropped over 33%, suggesting weak participation and potential unsustainability. Whales accumulated 142,773 ETH worth $308 million, and exchange reserves fell significantly, indicating broader accumulation. Open Interest surged 7.51%, reflecting rising futures demand. Technically, ETH shows a bullish pattern but faces resistance at $2,180. A breakout above this level could lead to an 8% rise toward $2,351, though current momentum remains cautiously optimistic with RSI at 55.89.

ambcrypto03/26 02:02

Ethereum rises amid West Asia crisis – But this rally isn’t safe

ambcrypto03/26 02:02

GitHub Announces Default Use of Copilot User Data for AI Model Training Starting April 24

GitHub has announced an update to its repository policy, effective April 24, 2026, allowing the use of user interaction data to train its AI models. The data collection will include users of Copilot Free, Pro, and Pro+, covering model inputs and outputs, code snippets, contextual information, repository structures, and chat logs. According to GitHub’s Chief Product Officer Mario Rodriguez, the move aims to enhance the accuracy and security of the model’suggestions, with internal Microsoft tests already showing improved acceptance rates. The policy follows an opt-out model, meaning affected users must manually disable data sharing in their privacy settings, sparking debate within the developer community over data ownership and the definition of private repositories. Copilot Business, Enterprise, and educational users are currently exempt due to contractual terms. GitHub defended the change as consistent with industry practices adopted by companies like Anthropic, JetBrains, and Microsoft. However, the inclusion of private repository code in training sets challenges conventional notions of privacy. This shift reflects a broader industry trend where leading AI providers are turning to user interaction data as high-quality public code resources diminish. It signals GitHub’s continued transition from an open-source platform to a closed-loop AI training ecosystem and highlights growing tensions between data compliance and AI model advancement.

marsbit03/26 01:39

GitHub Announces Default Use of Copilot User Data for AI Model Training Starting April 24

marsbit03/26 01:39

AI2 Releases Fully Open-Source Web Agent MolmoWeb: Controlling Web Pages Using Only "Vision"

AI2 has released MolmoWeb, a groundbreaking, fully open-source web agent that operates solely by analyzing screenshots, marking a significant leap in vision-driven web navigation. Unlike traditional agents that rely on DOM, MolmoWeb captures and interprets visual data to make decisions—such as clicking, scrolling, or typing—making its process transparent and robust. Despite its compact size (4B and 8B parameters), MolmoWeb performs impressively: it scores 78.2% on the WebVoyager benchmark, nearing OpenAI’s proprietary o3 model (79.3%), and achieves up to 94.7% success with multiple attempts. It even surpasses Anthropic’s Claude3.7 in UI element localization. AI2 also released MolmoWebMix, a massive open dataset with 36K human-browsing tasks, over 2.2M screenshot-QA pairs, and GPT-4o-verified synthetic data. The model and data are fully available on Hugging Face and GitHub under Apache 2.0, promoting transparency and collaboration in AI development. Challenges remain in complex instructions, logins, and legal compliance.

marsbit03/26 01:39

AI2 Releases Fully Open-Source Web Agent MolmoWeb: Controlling Web Pages Using Only "Vision"

marsbit03/26 01:39

Crypto Morning Report: Binance to Blacklist/Penalize Non-Compliant Market Makers, Bitmine Launches Self-Developed ETH Staking Platform MAVAN

Binance has issued new market maker guidelines, warning of penalties including blacklisting for manipulative practices like coordinated selling and wash trading. Separately, Bitmine launched MAVAN, its proprietary Ethereum staking platform, which has already staked 3.14 million ETH, generating nearly $300 million in annualized yield. In regulatory news, the SEC is preparing to release a tokenization exemption framework in the coming weeks, while the Ethereum Foundation published a quantum-resistant upgrade roadmap targeting L1 completion by 2029. Visa joined the Canton Network as a super validator. Other developments include Polymarket introducing taker fees on most markets, Tether pausing its $20 billion fundraising plan pending an audit, and Glimpse raising $35 million in Series A funding led by a16z. Market-moving political news featured a Democratic call to remove Trump via the 25th Amendment and his plans to form a tech advisory board with Zuckerberg and Nvidia's Huang.

marsbit03/26 01:13

Crypto Morning Report: Binance to Blacklist/Penalize Non-Compliant Market Makers, Bitmine Launches Self-Developed ETH Staking Platform MAVAN

marsbit03/26 01:13

"Borrowing a Chicken to Lay Eggs"? Apple Secures Google Gemini License: Crafting the Strongest On-Device AI Through Model "Distillation"

Apple has reportedly secured full access to Google's Gemini model, not for simple API integration, but to perform "model distillation"—a technique that allows Apple to train smaller, more efficient on-device AI models by learning from Gemini’s advanced reasoning processes. This approach enables Apple to develop localized AI systems that operate entirely on-device, improving speed and safeguarding user privacy. The distilled models are expected to power a significantly upgraded Siri in iOS 27, enabling deeper interaction, complex question-answering, document understanding, and practical task execution—all without requiring cloud connectivity. While leveraging Google’s model in the short term, Apple continues to develop its own foundational AI models internally, adopting a dual strategy of near-term collaboration and long-term independence. This move represents Apple’s effort to balance cutting-edge AI performance with its strict privacy and efficiency standards, potentially reshaping the landscape of on-device artificial intelligence.

marsbit03/26 01:08

"Borrowing a Chicken to Lay Eggs"? Apple Secures Google Gemini License: Crafting the Strongest On-Device AI Through Model "Distillation"

marsbit03/26 01:08

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