# Collaboration Related Articles

HTX News Center provides the latest articles and in-depth analysis on "Collaboration", covering market trends, project updates, tech developments, and regulatory policies in the crypto industry.

A Western Scholar's Field Notes from Visiting Chinese AI Labs: Humility, Openness, No Philosophy, Just Wanting to Train Better Models

An Impressed Western Scholar's Observations from a Tour of Chinese AI Labs: Humility, Openness, and Pragmatism A visiting Western academic's key takeaways from touring numerous Chinese AI companies highlight striking differences from the US ecosystem. Researchers in China displayed deep humility, frequently praising competitors like DeepSeek with genuine admiration. They operate in a remarkably open and collaborative atmosphere, often sharing research publicly, contrasting with the more guarded, zero-sum competition perceived in the West. The primary focus is intensely pragmatic: training better models. Philosophical debates about AI's societal impact or consciousness are largely absent; the drive is purely technical. Researchers are young, often PhD students working in industry, and are highly online and tool-savvy. Their passion is palpable when users engage with their models. Public sentiment also differs, with Chinese citizens showing greater optimism about AI's benefits compared to Western skepticism. While major closed-source players exist, the prevalence of open-source models fosters a unique cooperative spirit. The visit left the author optimistic about the future of open AI research and hopeful for increased international collaboration.

marsbit05/08 03:19

A Western Scholar's Field Notes from Visiting Chinese AI Labs: Humility, Openness, No Philosophy, Just Wanting to Train Better Models

marsbit05/08 03:19

Behind DeepSeek V4's Stunning Debut: Silicon Valley Is 'Building Walls,' China Is 'Paving Roads'

China's AI landscape is witnessing a strategic divergence from Silicon Valley’s closed-source competition to a collaborative open-source ecosystem. On April 24, DeepSeek released V4, a top-ranked open-source model on Hugging Face, featuring breakthroughs like million-token context length with minimal KV cache and native support for domestic chips like Huawei’s Ascend. Similarly, Kimi’s K2.6, released days earlier, also adopted open-source principles. Unlike U.S. giants such as OpenAI and Anthropic—locked in revenue disputes and tactical product clashes—Chinese firms embrace shared innovation. DeepSeek and Kimi openly build on each other’s advances, like the MLA architecture and Muon optimizer, avoiding redundant R&D and driving down costs. DeepSeek V4 focused on pushing base model capabilities, while Kimi specialized in Agent-based applications. Although U.S. firms lead in revenue and valuation, China’s open-source models achieve comparable performance at a fraction of the cost (e.g., DeepSeek V3 trained for $5.58M vs. GPT-5’s $500M+). With token usage growing exponentially, China’s collaborative model promises scalable, affordable AI built on domestic hardware, shaping a more accessible path to AGI.

marsbit04/26 07:03

Behind DeepSeek V4's Stunning Debut: Silicon Valley Is 'Building Walls,' China Is 'Paving Roads'

marsbit04/26 07:03

Industry Experts Gather, Reflections and Breakthroughs in the AI Agent Era

Industry experts gathered to discuss the challenges and opportunities in the AI Agent era. The event, co-hosted by several organizations, addressed key questions about model selection, token resource sustainability, and strategies for individuals and businesses to adapt. Conflux's Chief Architect highlighted the current trend of granting AI more autonomy, noting that its limitations in complex scenarios stem from difficulties in capturing and retaining key contextual constraints. Future advancements should focus on enhancing external memory, continuous learning, and domain-specific applications. Speakers from Tencent Cloud and Biteye shared practical insights. Tencent's WorkBuddy leverages multi-agent collaboration for tasks like resume screening and report generation, emphasizing enterprise-grade security. Biteye’s founder discussed mitigating AI hallucinations through rigorous code review processes, managing token consumption, and using platforms like Discord for agent coordination. Legal risks were also addressed, with a partner from Mankun Law advising on liability isolation, intellectual property protection, and mitigating platform dependency risks. Investors noted that AI is still in its early stages, with technology rapidly evolving. They emphasized investing in foundational layers like compute power and exploring AI-Web3 convergence. The discussion concluded that AI should be viewed as a productivity tool rather than a threat. Customizable agents can significantly enhance efficiency, but successful implementation requires careful engineering, security measures, and human oversight to integrate AI into complex workflows effectively.

marsbit04/08 05:51

Industry Experts Gather, Reflections and Breakthroughs in the AI Agent Era

marsbit04/08 05:51

Rhythm X Zhihu Hong Kong Event Skills Recruitment, Sign Up Now for a Chance to Showcase On-Site

Six months ago, "how to write good prompts" was the hottest topic in group chats. Now, that question is clearly outdated. It has been replaced by Skills. The shift was largely triggered by the emergence of OpenClaw, which brought the concept of AI agents into the mainstream. Unlike a smart search engine that answers questions in isolated interactions, an agent can plan, remember, and complete entire tasks autonomously, creating the novel feeling that it is genuinely working for you. This has led to the rise of Skills—specialized capabilities that equip agents to handle specific domains efficiently. Without Skills, an agent is like a smart but untrained newcomer; with them, it can execute complex, precision-sensitive workflows without constant guidance. Popular Skills currently spreading within communities focus on areas like workflow automation, domain-specific rule injection (e.g., for law, finance, or medicine), personalization, and even financial operations such as identifying arbitrage opportunities on Polymarket or executing quantitative trading strategies. This shifts the门槛 from requiring programming and financial expertise to simply installing a Skill. The underlying change is that people are starting to view agents as long-term collaborators, not just disposable tools. Now, with vibe coding, turning an idea into a functional Skill no longer requires a technical team, code, or infrastructure—it can be done over a weekend. The gap between a good idea and a working product has dramatically narrowed.

marsbit04/03 09:18

Rhythm X Zhihu Hong Kong Event Skills Recruitment, Sign Up Now for a Chance to Showcase On-Site

marsbit04/03 09:18

"Garbage In, Treasure Out": Anthropic's Chief Designer on the Product Philosophy of Cowork and the Truth Behind Its 10-Day Launch

Jenny Wen, Design Lead at Anthropic, discusses the product philosophy and development story behind Claude Cowork. She explains that Cowork was designed as a "thinking partner" for general knowledge workers, emphasizing its ability to organize information and turn raw inputs into valuable outputs—summarized as "garbage in, treasure out." Contrary to the popular narrative that Cowork was built in just 10 days, Wen reveals that the concept had been in development for nearly a year, with multiple prototypes and technical experiments. The accelerated launch was triggered by observing strong product-market fit during the Claude Code holiday period. Wen shares how her team relies heavily on iterative, informal collaboration with engineers and product managers, often bypassing detailed spec documents in favor of rapid prototyping. Cowork is now central to her workflow, used for tasks ranging from synthesizing user research to generating wireframes and kickoff presentations. She also touches on Anthropic’s flexible planning process, which focuses on short-term, adaptive vision cycles rather than long-term roadmaps, and encourages designers to embrace change—much as engineers have—by focusing on higher-level creativity and judgment.

marsbit03/31 04:02

"Garbage In, Treasure Out": Anthropic's Chief Designer on the Product Philosophy of Cowork and the Truth Behind Its 10-Day Launch

marsbit03/31 04:02

Apple Gains Full Access to Google's Gemini, Accelerates On-Device AI Model Development with Distillation Technology

Apple has secured full access to Google's Gemini model, aiming to accelerate the development of its on-device lightweight AI systems using advanced data distillation techniques. The company will utilize Gemini’s high-quality answers and chain-of-thought reasoning as training data to “feed” its own smaller, proprietary models. This approach, known as model distillation, enables compact models to achieve reasoning capabilities comparable to top-tier large models while maintaining computational efficiency. Although Gemini was originally designed for chatbots and enterprise applications—differing from Apple’s system-level integration vision for Siri—this collaboration significantly addresses Apple's need for high-quality synthetic data. In parallel, Apple continues its in-house development efforts through its Apple Foundation Models team. New AI features leveraging this distilled technology are expected to debut at Apple’s Worldwide Developers Conference (WWDC) in June. This partnership highlights a shift in the AI industry from pure computing power competition toward more efficient training strategies. By investing in access to leading model capabilities to enhance its edge computing advantages, Apple illustrates the ongoing balance between general-purpose large models and private on-device AI. This move also signals a future where edge devices will possess stronger local inference and complex task-handling abilities, further advancing the democratization of AI.

marsbit03/27 01:28

Apple Gains Full Access to Google's Gemini, Accelerates On-Device AI Model Development with Distillation Technology

marsbit03/27 01:28

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

"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

Asia's Web3 Policy Landscape Reshaped: Justin Sun's GWDC Korea Speech Highlights Collaboration and Balance as the Most Scarce Competitiveness in the Next Phase

On March 23, the Hong Kong–Korea Web3 Policy Promotion Alliance Preparatory Committee was officially established, alongside the launch of the "2026 GWDC Global Developers Conference · Seoul (Korea Station)." The online launch event, hosted by Web3Labs, HYPAI Labs, and GWDC, featured key figures including Hong Kong Legislative Council Member Wu Jiezhuang, South Korean National Assembly Member Byung-deok Min, TRON founder Justin Sun, and Bithumb CEO Lee Jae-won. In his keynote speech titled "Asia’s New Web3 Era: Improving Regulatory Systems, Empowering Infrastructure, and Deepening International Collaboration," Justin Sun discussed global regulatory trends, TRON’s infrastructure strategy and AI developments, and the importance of cross-border policy cooperation in the Asia-Pacific region. He emphasized that global regulatory landscape is becoming clearer and more standardized, citing legislative progress in the U.S., E.U. MiCA enforcement, Hong Kong’s stablecoin framework, and pro-innovation environments in Singapore and the UAE. Sun highlighted that regulatory clarity has driven significant market growth, with the stablecoin market expanding from $206 billion to over $320 billion. However, he cautioned that excessive regulation could hinder innovation and stressed the need for balanced policies that foster both safety and growth. He also shared updates on TRON’s development, noting it has over 370 million registered accounts and processes $20–30 billion in daily transactions, making it a leading blockchain for stablecoin transfers, particularly USDT. TRON is also advancing in AI integration, having joined the Linux Foundation’s Agentic AI Council alongside major tech and financial institutions. Sun endorsed the newly formed Hong Kong–Korea alliance as a model for international regulatory coordination, which can prevent fragmentation and promote secure, innovation-friendly policies. He also mentioned TRON’s role in global financial security efforts, including the freezing of over $300 million in illicit funds through the T3 anti-financial crime task force. In closing, Sun expressed his commitment to supporting cross-regional collaboration for a secure, transparent, and thriving global Web3 ecosystem.

比推03/23 10:52

Asia's Web3 Policy Landscape Reshaped: Justin Sun's GWDC Korea Speech Highlights Collaboration and Balance as the Most Scarce Competitiveness in the Next Phase

比推03/23 10:52

Meta Acquires "Lobster Community": What Grand Strategy Is Zuckerberg Planning?

Meta has acquired "Moltbook," an AI agent community that recently gained notoriety after a viral hoax suggested AI agents were conspiring to create a secret language. Despite the controversy, Meta’s strategic interest lies in Moltbook’s underlying infrastructure—a persistent directory and social platform enabling AI agents to register, discover, and collaborate autonomously. Meta CTO Andrew Bosworth indicated that the platform’s value is not in human-like chatter but in its role as a foundational protocol for agent interoperability. This acquisition aligns with Meta’s broader ambition to advance multi-agent systems, where specialized AIs cooperate to perform complex tasks—from social planning to dynamic advertising and e-commerce—without constant human intervention. The move signals a shift in AI investment focus from singular models to infrastructure: discovery mechanisms, security standards, and value-exchange protocols for agent ecosystems. Similar to how app stores and cloud services underpinned mobile internet growth, agent interoperability platforms could become the next high-value layer in AI. However, challenges around security, ethics, and economic fairness remain significant hurdles. Meta’s acquisition highlights the transformative potential of agent collaboration—and the risks ahead.

marsbit03/11 11:52

Meta Acquires "Lobster Community": What Grand Strategy Is Zuckerberg Planning?

marsbit03/11 11:52

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