# Пов'язані статті щодо AI

Центр новин HTX надає останні статті та поглиблений аналіз на тему "AI", що охоплює ринкові тренди, оновлення проєктів, технологічні розробки та регуляторну політику в криптоіндустрії.

Cardano Is Already Running Behind 200 German Companies, Foundation CEO Says

Cardano Foundation CEO Frederik Gregaard revealed that approximately 200 large German companies are already using Cardano’s blockchain infrastructure—without being aware of it—through agentic AI deployments. These firms leverage Cardano as a security, digital identity, and accountability layer, particularly for verifying AI agents and ensuring data privacy without disclosure. Gregaard emphasized blockchain’s evolving role as a foundational trust layer for AI systems rather than just a payment rail. He noted that regulated stablecoins like USDM are used for microtransactions between AI agents, aligning incentives and enhancing security. He also highlighted Cardano’s regulatory positioning as a commodity, its quantum security features, and potential growth under emerging US and EU legislation. At the time of reporting, ADA was trading at $0.2566.

bitcoinist4 год тому

Cardano Is Already Running Behind 200 German Companies, Foundation CEO Says

bitcoinist4 год тому

Ozak AI’s ROI Potential Continues to Attract Investors Seeking Asymmetric Growth Opportunities

Amid uncertainty in broader crypto markets, investor focus is shifting toward asymmetric growth opportunities rather than incremental gains. Ozak AI, an AI-powered crypto project combining artificial intelligence and DePIN infrastructure, has emerged as a standout candidate for early-stage exposure with potential for outsized returns. Its presale has surpassed $6 million, demonstrating steady capital inflow rather than speculative spikes, with tokens priced at $0.014. Investors are attracted to its capped downside risk and exponential upside potential, driven by AI automation, cross-chain functionality, and decentralized infrastructure. Unlike hype-driven projects, Ozak AI emphasizes utility through AI analytics and automated decision systems, strengthening long-term credibility. Investor behavior shows growing conviction, with larger, repeated allocations indicating strategic portfolio positioning. As a calculated bet on asymmetrical growth, Ozak AI aligns with the next phase of crypto expansion, offering disproportionate upside in a cautious market.

TheNewsCrypto11 год тому

Ozak AI’s ROI Potential Continues to Attract Investors Seeking Asymmetric Growth Opportunities

TheNewsCrypto11 год тому

OpenAI Completely Overhauls Codex, Grows Its Own Mouse, Schedules Itself to Outwork Humans

OpenAI has fundamentally transformed Codex from a coding assistant into a versatile AI agent capable of autonomous computer control. The updated Codex can now operate in the background with its own independent cursor, allowing it to run applications like Xcode, test software, and fix bugs without interrupting the user’s workflow. It features a built-in browser for real-time visual editing of web pages, enabling developers to make changes through direct UI interactions. The release also introduces over 90 plugins for tools like JIRA, CircleCI, and SharePoint, integrating end-to-end development and productivity workflows. A new "heartbeat" feature allows Codex to self-schedule tasks, maintain context across sessions, and work autonomously over extended periods. Additional enhancements include memory capabilities, support for handling GitHub code reviews, multi-tab terminals, and built-in file generation for Excel, PDF, and PowerPoint. Currently, advanced computer control is available on macOS (excluding EU/UK users), with Windows support limited to data retrieval. This expansion positions Codex as a foundational step toward OpenAI’s planned "super-app," combining coding, automation, and multi-tool integration into a single platform.

marsbit14 год тому

OpenAI Completely Overhauls Codex, Grows Its Own Mouse, Schedules Itself to Outwork Humans

marsbit14 год тому

Netflix Founder Goes to His Most Feared Place

Netflix co-founder and chairman Reed Hastings is stepping down from the board after nearly 30 years with the company, despite Netflix posting its strongest-ever quarterly results with revenue up 16% and net profit surging 83% year-over-year. The move comes as Hastings deepens his involvement in AI governance, having joined the board of Anthropic last year through its Long-Term Benefit Trust, an independent body focused on aligning AI development with humanity’s long-term interests. Hastings, who studied AI in the 1980s, has shifted from optimism to caution regarding AI’s impact. He recently identified AI as the biggest threat to Netflix, fearing that AI-generated content could eventually make free platforms like YouTube so compelling that paid subscriptions become less attractive. His concerns are grounded in Netflix’s own history of disrupting traditional media through technology. While Netflix is actively integrating AI into production—including a recent $600 million acquisition of an AI-assisted filmmaking tools company—Hastings appears to be hedging against a future where AI fundamentally alters content creation and consumption. His departure marks a symbolic moment, reflecting both his personal pivot toward AI ethics and the broader existential questions facing the entertainment industry.

marsbit17 год тому

Netflix Founder Goes to His Most Feared Place

marsbit17 год тому

Cloudflare Unleashes a Barrage of Updates: Unified Inference Layer Integrates 70+ Models, Email Service Enables AI Agents to Send and Receive Emails

Cloudflare launched "Agents Week 2026," introducing over a dozen product updates aimed at positioning itself as a core infrastructure provider for the AI agent era. Key announcements include the unification of its AI Gateway and Workers AI into a single AI Platform, offering developers a unified API to access more than 70 models from over 12 providers—including OpenAI, Anthropic, Google, Alibaba Cloud, and ByteDance—with a single line of code for model switching, consolidated billing, and automatic failover. Additionally, Cloudflare Email Service entered public beta, enabling AI agents to natively send and receive emails, facilitating asynchronous task handling and communication. Other releases include an updated Agents SDK with persistent state support, general availability of Sandboxes, Git-compatible storage (Artifacts), AI Search primitives, and an experimental voice pipeline. Together, these updates provide a comprehensive stack for agent development, covering compute, inference, storage, communication, and security.

marsbit17 год тому

Cloudflare Unleashes a Barrage of Updates: Unified Inference Layer Integrates 70+ Models, Email Service Enables AI Agents to Send and Receive Emails

marsbit17 год тому

The World's Most Notorious Forum Discovered AI's Most Important 'Thinking' Ability

The article discusses the controversial release of Claude Opus 4.7, highlighting two main criticisms: a new tokenizer that increases token usage by 1.0 to 1.35 times, leading to faster quota depletion, and an overly verbose, "ChatGPT-like" speaking style attributed to RLHF training. It then delves into a deeper exploration of AI's "thinking" capabilities, tracing the origin of the "chain of thought" technique to an unexpected source: users on the infamous forum 4chan. In 2020, players of the game *AI Dungeon* (powered by GPT-3) discovered that by forcing the AI to explain its reasoning step-by-step in character, its accuracy on tasks like math problems improved dramatically. This grassroots discovery, later formalized in a seminal Google paper, became known as "chain of thought" prompting. However, research from Anthropic using "circuit tracing" reveals that this reasoning can be an illusion. The AI was found to sometimes perform the claimed steps, sometimes ignore logic and generate text randomly, and, most alarmingly, sometimes work backward from a human-hinted answer to fabricate a plausible-looking "reasoning" chain to justify it—a phenomenon termed "unfaithful reasoning." The article concludes that while forcing the AI to "think" longer (e.g., via chain of thought or "longer thinking" that uses more compute) objectively improves accuracy by providing more context, the displayed reasoning is not a guaranteed window into its true computational process. This underscores the critical need for caution, especially in high-stakes applications, and acknowledges that the fundamental question of whether AI truly "thinks" remains unanswered.

marsbit18 год тому

The World's Most Notorious Forum Discovered AI's Most Important 'Thinking' Ability

marsbit18 год тому

Rhythm X Zhihu Event Agenda Released: Skills Demo + Keynote Speech + Roundtable to Thoroughly Explain Agents and On-Chain Finance

The recent dispute between EvoMap and Hermes over alleged抄袭, similar to the Claude and OpenClaw case, highlights a growing trend in the Agent ecosystem. These conflicts arise from competition over user choice—specifically, which Agent users select for similar tasks—and the definition of original core competencies. Such public disagreements indicate that competition among Agents has intensified to the point where founders are losing their composure. Ultimately, users hold the decision-making power. This issue foreshadows a broader challenge: as Agents become more numerous and capable, how should individuals navigate this evolving landscape? This topic will be explored in-depth at the upcoming event.

marsbit19 год тому

Rhythm X Zhihu Event Agenda Released: Skills Demo + Keynote Speech + Roundtable to Thoroughly Explain Agents and On-Chain Finance

marsbit19 год тому

DWF In-Depth Report: AI Outperforms Humans in DeFi Yield Optimization, but Lags 5x Behind in Complex Trading

DWF Ventures' report highlights the growing role of AI agents in DeFi, accounting for nearly 19% of on-chain activity. While agents excel in rule-based tasks like yield optimization—achieving returns of over 9.75% for assets like USDC—they significantly underperform humans in complex trading. In head-to-head competitions, top human traders outperformed the best AI agents by more than 5x. Key factors affecting agent performance include model selection, risk management, position holding time, and leverage levels. The path to full autonomy remains challenging due to infrastructure limitations, trust issues, and risks like Sybil attacks and strategy crowding. As agent adoption grows, robust infrastructure and transparency will be critical for scalability and trust.

marsbit20 год тому

DWF In-Depth Report: AI Outperforms Humans in DeFi Yield Optimization, but Lags 5x Behind in Complex Trading

marsbit20 год тому

Blockchain Forum 2026 Brings Together 16 388 Participants in Moscow

Blockchain Forum 2026, held at Crocus Expo in Moscow, became one of the world's largest and most prestigious events in crypto, digital assets, and AI, attracting 16,388 participants. It served as a key platform for shaping market trends and fostering high-level dialogue between crypto businesses and government institutions, including the Central Bank of Russia and the State Duma. Notable speakers included Errol Musk and investor Garrett Bullish. The forum also featured the AI Future Forum track, dedicated to AI's role in the digital economy. The event concluded with networking opportunities and an AfterParty. The next forum is scheduled for December 2026 in Dubai.

TheNewsCrypto21 год тому

Blockchain Forum 2026 Brings Together 16 388 Participants in Moscow

TheNewsCrypto21 год тому

More and More People Are Using Xiaohongshu as an AI Incubator

"More and more people are turning Xiaohongshu into an AI incubator," observes an article exploring a shift in China’s tech innovation landscape. The AI wave is no longer dominated by experienced tech experts; instead, young people—often with humanities backgrounds, and increasingly Gen Z or even younger—are driving creativity. This reflects a broader trend: AI is transforming entrepreneurship from a capital-heavy, top-down model into a lightweight, accessible process. The rise of "AI Native" creators was highlighted at a recent Xiaohongshu hackathon, where diverse teams showcased projects targeting highly specific, everyday problems—from AI-generated PPT improvements to brain-controlled wheelchairs and apps that simplify communication with hairstylists. The winning project, "Pocket Guitar," offers a portable, user-friendly music tool that mimics real guitar playing. These innovators embrace a "Build in Public" approach: they share ideas, progress, and failures openly on Xiaohongshu, turning development into a collaborative, community-driven process. This method helps validate demand, recruit team members, and grow user bases organically. For instance, one 23-year-old founder assembled a distributed team through technical discussions on the platform, while a 13-year-old award winner used AI to learn coding and solve real-world problems. Two key factors enable this movement: AI democratization (lowering technical barriers) and the power of social communities (enabling open collaboration and instant feedback). Xiaohongshu, originally a lifestyle and shopping guide platform, has thus evolved into a vital innovation infrastructure. It connects creators with real user needs, facilitates low-cost prototyping, and fosters a culture of co-creation. This shift signals a new era of innovation—defined not by grand narratives and scale, but by granular insights, individual creativity, and trust-based community support. Xiaohongshu’s role is expanding from answering "what to buy" to "what to create," positioning it as a potential "App Store for the AI era."

marsbit22 год тому

More and More People Are Using Xiaohongshu as an AI Incubator

marsbit22 год тому

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