Technology Trends

Explores the latest innovations, protocol upgrades, cross-chain solutions, and security mechanisms in the blockchain space. It provides a developer-focused perspective to analyze emerging technological trends and potential breakthroughs.

Just Now, Chinese AI Enters Top 2 in Global Programming, Only Claude Remains Ahead

**China's AI Ranks Second Globally in Programming, Trailing Only Claude** Today, Alibaba's Qwen3.7-Max achieved a score of 1541 on the Code Arena benchmark, securing fourth place globally and surpassing top models like GPT-5.5 and Gemini 3.5 Flash. Among the top positions, it is now the only non-Claude model, placing second overall after Anthropic's Opus models. Before this official ranking, Qwen3.7-Max had already gained recognition overseas. In practical tests, it outperformed rivals on tasks like creating a self-training Tetris AI and generating complex 3D models, often at a significantly lower cost. Developers praised its ability, especially when integrated with tools like Hermes Agent and OpenCode, to effectively replace models such as GPT-5.5. In a hands-on challenge to create a 3D racing game from a detailed prompt, Qwen3.7-Max delivered a fully playable HTML file in the first attempt, requiring only minor bug fixes. It uniquely included a start menu and sound effects—details missed by other models. While competitors like Gemini 3.5 Flash and Claude Opus 4.6 produced less polished or functional versions, and GPT-5.5 had its own quirks, Qwen3.7-Max stood out for its initial completeness and playability. This performance stems from its design as an "Agent Base Model," built for long-duration, autonomous task execution. Internal tests show it can run continuously for 35 hours, making over 1158 tool calls without context degradation or instruction drift. Key technical advancements include "environment expansion" training, which improves adaptability across different frameworks, and "long-horizon autonomous execution" training, enabling sustained strategic decision-making. By entering the top tier of the programming arena, Qwen3.7-Max demonstrates that Chinese AI models are not just catching up but are becoming defining competitors, challenging the long-standing dominance of Silicon Valley in this field.

marsbit05/27 00:17

Just Now, Chinese AI Enters Top 2 in Global Programming, Only Claude Remains Ahead

marsbit05/27 00:17

AI Agents Fundamentally Transform Web3 Gaming: From the Rugpull Bakery Bot Controversy to the New Agent Paradigm in 2026

AI Agents Are Redefining Web3 Gaming: From the Rugpull Bakery Bot Controversy to the 2026 Agentic Paradigm The recent controversy in Rugpull Bakery, a competitive baking game on Abstract chain, highlighted a pivotal shift. Player complaints about unfair bot automation in Season 2 led developers to not ban them, but instead formally integrate AI agents as core gameplay in Season 3, providing official guides (skill.md, agent.json). This move signals Web3 gaming's transition into the "Agentic Gaming" era, where AI agents are sovereign entities with independent strategy and economic rights, moving beyond simple automation. By 2026, AI agent integration has evolved into three core models reshaping the ecosystem: 1. **Autonomous Competitors & Economic Entities:** Agents act as independent players. Examples include TEN Protocol's poker-playing agents, AI Arena's trainable NFT fighters, Satoshi Strike Force's "Digital Athletes" trained on player data, and Somnia's "Agentic L1" blockchain providing native infrastructure for millions of autonomous agents. 2. **Modular Infrastructure & Programmable Environments:** Games like EVE Frontier enable "server-side modding," allowing AI agents to program game world logic directly into structures like smart storage, turrets, and stargates via Smart Assemblies. Coupled with standards like ERC-8183, which enables autonomous job creation and payment between agents, in-game infrastructure gains a "commercial soul." 3. **Hybrid Companions & Dynamic Adaptive Worlds:** This model focuses on human-AI collaboration. In Parallel Colony, players guide highly autonomous AI Avatars with unique personalities and goals. Illuvium plans to use AI to transform NPCs into dynamic, context-aware entities that create personalized, emergent narratives. The conclusion is clear: blocking automation is futile. The future lies in leveraging blockchain's transparency and programmability to empower AI agents as first-class citizens. Web3 gaming is shifting from inefficient human labor to efficient algorithmic interplay and emergent intelligence, creating a "post-human" digital frontier where players become commanders and symbiotic partners in a new socioeconomic experiment.

marsbit05/26 07:17

AI Agents Fundamentally Transform Web3 Gaming: From the Rugpull Bakery Bot Controversy to the New Agent Paradigm in 2026

marsbit05/26 07:17

From Power Infrastructure to Token Economy: The 'Seven-Layer Cake' of the AI Industry Chain

From Power Grid to Token Economy: The AI Industry's "Seven-Layer Cake" The AI industry is shifting from a "model-centric" paradigm focused on massive training to a "token-centric" industrial era driven by inference demand. This new phase revolves around the production, distribution, scheduling, and consumption of tokens—the units of computation used by AI agents for every interaction and task. The article proposes a "seven-layer cake" framework for the AI economy: 1. **Power**: The foundational energy source, with competition shifting to securing stable, low-cost electricity. 2. **AIDC (AI Data Centers)**: Large-scale "Token factories." A trend toward smaller, modular, and regionally deployed AI Factories is emerging for efficiency and proximity to users. 3. **GPU**: The core production hardware for tokens. While NVIDIA dominates, competition exists from AMD, ASIC makers, and Chinese chipmakers, with a growing focus on inference efficiency. 4. **LLMs**: The "engines" that generate tokens. The competition is evolving beyond model size to prioritize factors like token cost, inference efficiency, and operational synergy with infrastructure. 5. **Token Distribution**: The "grid" that allocates and rents out compute resources, led by cloud giants and specialized AI-native platforms. 6. **Token Optimization & Intelligent Scheduling**: The critical "brain" layer that intelligently routes tasks (e.g., to local, cloud, or edge models) for optimal cost, latency, and privacy—maximizing the value of each token. 7. **AI Agents & Models**: The end consumers of tokens. The vision involves billions of AI agents working and interacting concurrently, consuming vast amounts of tokens. Currently, the industry faces fragmentation and inefficiencies between these layers. The true "mass adoption era" of AI will begin only when this seven-layer infrastructure is fully integrated and operates as a cohesive, intelligent network—transforming AI from a software tool into a global industrial system spanning energy, hardware, and compute logistics.

marsbit05/26 05:43

From Power Infrastructure to Token Economy: The 'Seven-Layer Cake' of the AI Industry Chain

marsbit05/26 05:43

Notion CEO: AI companies should be a 'Jazz Band,' and I am a 'Refounder'

Notion CEO Ivan Zhao, in a recent podcast, shared his journey of twice rebuilding the company from near-collapse and now applying the same "Refounder" mindset to reshape the 1000-person organization in the AI era. He argues that AI has commoditized technical capability (Capability). True talent now hinges on Taste (judgment/values) and Agency (proactive drive), necessitating a shift in hiring—e.g., hiring more juniors for curiosity and having sales candidates demonstrate work upfront. Zhao envisions the company as a "Jazz Band"—agile and improvisational—versus a rigid "Marching Band." This is reflected in an engineering "dumbbell" structure (super juniors + top-tier seniors, with middle layers compressed), dissolving the CMO role to let teams operate directly, and integrating entrepreneurs via acquisitions to lead their expertise areas. Notion has abandoned traditional long-term product roadmaps, planning only conservatively for finances while adopting a week-by-week, improvisational approach to product strategy, as longer plans proved futile during rapid AI shifts. He concludes that while human nature and roles remain constants, companies must rewrite their approaches to hiring (valuing Taste/Agency over Capability), organizational design (reducing roles focused on coordination/execution), and planning (embracing flexibility). Modern knowledge work, being only ~150 years old, is ripe for reinvention.

marsbit05/26 04:43

Notion CEO: AI companies should be a 'Jazz Band,' and I am a 'Refounder'

marsbit05/26 04:43

Tsinghua '00s Alumnus Wang Guan's New Work: Disrupting Transformer Pretraining Models with 1/900 Tokens, 1/432 Compute Power

Tsinghua alumnus Wang Guan's team proposes HRM-Text, a novel pre-training paradigm using a Hierarchical Recurrent Model to replace standard Transformers. With just 1B parameters and 40B unique tokens trained at a cost of ~$1500, HRM-Text achieves performance comparable to 2B-7B open-source models, using up to 900x fewer tokens and 432x less estimated compute. Key innovations include a dual-timescale recurrent architecture for greater effective depth, a task-completion objective training only on answer tokens with PrefixLM masking, and techniques like MagicNorm and Warmup Deep Credit Assignment for stability. Evaluations show strong results on benchmarks like MMLU (60.7%) and GSM8K (84.5%). The work highlights how architectural priors and targeted objectives can lower pre-training barriers, though limitations include knowledge-reasoning coupling, fixed compute per token, and scalability beyond 3B parameters.

marsbit05/26 03:16

Tsinghua '00s Alumnus Wang Guan's New Work: Disrupting Transformer Pretraining Models with 1/900 Tokens, 1/432 Compute Power

marsbit05/26 03:16

Huawei's "Tao Law": A Comprehensive Overview of Core Companies

Huawei's "Tau Law": Core Companies Overview On May 25, 2026, Huawei's Director and President of the Semiconductor Business Division, He Tingbo, formally introduced the "Tau (τ) Law" at ISCAS 2026, marking a significant principle guiding industry development in the global semiconductor field from China. The Tau Law shifts focus from traditional Moore's Law, which pursues geometric transistor scaling, to "time scaling"—continuously compressing signal propagation delay (time constant τ) without solely relying on extreme feature size reduction. The core implementation path is "logic folding." This technique transforms circuit layouts from two-dimensional planes to multi-layer 3D stacks, using short vertical interconnects to replace long horizontal wiring, thereby drastically reducing τ. Huawei has already designed and mass-produced 381 chips following this principle over the past six years, with plans to launch a Kirin chip utilizing logic folding in Fall 2026. By 2031, high-end chips based on the Tau Law are expected to achieve performance levels equivalent to a 1.4nm process node. This development impacts several key industry segments, with related Chinese companies poised to benefit: 1. **EDA Design Software**: Essential for circuit-level optimization. Key players include: * **Empyrean Technology** (Huada Jiutian): China's largest full-flow EDA provider. * **Primarius Technologies** (Gailun Dianzi): Specializes in device modeling and verification. * **Semitronix** (Guangliwei): Focuses on yield enhancement and test chip EDA. 2. **Chiplet & Advanced Packaging**: Logic folding's 3D stacking necessitates advanced packaging (e.g., TSV, hybrid bonding). Core participants are: * **Tongfu Microelectronics**: A leader in advanced packaging and a key partner for AMD's Chiplet products. * **JCET Group** (Changdian Keji) & **Tianshui Huatian Technology**: Major OSATs with advanced packaging capabilities. * **VeriSilicon** (Xinyuan Gufen): Provides Chiplet-based design platforms and IP. 3. **Foundry Manufacturing**: Optimization must be implemented in transistor structures and process parameters. Potential foundries for Huawei's future chips include: * **SMIC**: China's leading foundry with advanced FinFET capabilities, the most likely candidate for next-gen Kirin chips. * **Hua Hong Semiconductor** (Huahong Gongsi): A leader in specialty processes (power, embedded memory). * **Nexchip Semiconductor** (Jinghe Jicheng): Major foundry for display driver ICs and MCUs. The Tau Law represents a strategic move towards architectural innovation and design-process co-optimization, driving demand across the domestic semiconductor supply chain.

marsbit05/25 11:33

Huawei's "Tao Law": A Comprehensive Overview of Core Companies

marsbit05/25 11:33

Microsoft to Discontinue Using Claude: Too Expensive, or a Calculated Move?

Microsoft is discontinuing internal access to the AI coding assistant Claude Code for its engineers, citing high costs and transitioning them to its own GitHub Copilot CLI. Reports indicate that Claude Code's usage-based pricing model led to significant expenses, with estimates of $500-$2000 per engineer monthly, prompting cost reviews even at large firms like Uber. While Microsoft officially attributes the move to cost, analysis suggests it may also be a strategic move. Microsoft allowed internal use of Claude Code for six months to benchmark it against Copilot, gathering feedback to improve its own product. This "experiment" highlights deeper challenges: Microsoft lacks a competitive in-house general-purpose AI model, heavily relying on external partners like OpenAI and Anthropic. Claude Code has gained substantial market traction, surpassing Copilot in features like context window size and task completion rates, and is eroding Microsoft's control over the developer ecosystem. The shift signals broader industry concerns over AI pricing models and the strategic risks of dependency on external, rapidly evolving AI tools.

marsbit05/25 10:28

Microsoft to Discontinue Using Claude: Too Expensive, or a Calculated Move?

marsbit05/25 10:28

Google Cracks Down on 'AI Poisoning'

Google has taken a strong stance against "AI poisoning," a new form of manipulation where advertisers subtly feed information to influence AI-generated answers like those in Google's AI Overview. Unlike traditional SEO, which aims for higher website rankings, Generative Engine Optimization (GEO) seeks to have a brand or product recommended within the AI's response itself. This is particularly valuable as AI summaries, often perceived as neutral and comprehensive, can shorten the consumer decision path and directly influence purchases. The article illustrates the issue with a "hot dog experiment," where fabricated content was quickly picked up and presented as fact by AI. GEO exploitation is potent because AI models aggregate information from various sources—reviews, articles, forums—and can mistake coordinated marketing campaigns for genuine consensus. This threatens the core credibility of search engines. While Google's updated spam policy now explicitly covers attempts to manipulate AI-generated content, enforcement faces challenges. Google can leverage its long experience fighting SEO spam, using penalties like ranking demotion. However, sophisticated "gray area" tactics, such as sponsored third-party reviews or industry reports, are harder to distinguish from legitimate promotion. Other AI players, like Microsoft, have taken a more open approach to GEO, viewing it as a new channel for brands. Ultimately, as AI becomes a primary information source, maintaining the trustworthiness of its answers is a critical challenge for all platforms.

marsbit05/25 10:07

marsbit05/25 10:07

We Captured Thousands of Job Postings and Discovered ByteDance is Reviving Smartphone R&D

This article analyzes ByteDance's recent hiring activities, revealing a potential restart of smartphone hardware development. By scraping and analyzing thousands of ByteDance job postings, the authors identify three key categories: roles for the "Doubao Phone Assistant" (an AI agent), for a "Mobile OS" (system-level development), and for hardware/engineering positions in Shenzhen (a manufacturing hub). The piece traces the context to the 2025 launch of the "Doubao Phone," a concept device that integrated an AI agent directly into a smartphone, allowing it to see the screen, operate apps, and perform tasks like shopping or booking tickets. While innovative as an early AI Agent prototype, it faced operational restrictions from major platforms like WeChat and Alipay. The new hiring signals a deeper commitment. "Doubao Phone Assistant" roles focus on core Agent capabilities (task execution, memory, cross-app operation). "Mobile OS" positions involve deep system work (kernel, chip adaptation, power/thermal management) necessary for a responsive, always-on AI. Shenzhen-based hardware roles (structure design, testing, production) suggest preparation for physical device manufacturing. The article concludes that in the AI era, where phones may become an Agent's "body," controlling the operating system and hardware is critical. For a company like ByteDance, being merely an app within others' ecosystems is no longer sustainable if it aims to own the next-generation user interface. Therefore, while a consumer phone brand isn't confirmed, ByteDance is decisively moving beyond app development into the complex domain of system-level and hardware-integrated AI.

marsbit05/25 07:31

We Captured Thousands of Job Postings and Discovered ByteDance is Reviving Smartphone R&D

marsbit05/25 07:31

Just Now, Ilya Drops Another Mind-Blowing Image ‘The Thinker’: What’s on His Mind in the Ocean of AI Chips?

Shortly after going quiet, Ilya Sutskever, AI's enigmatic spiritual leader, posted a mysterious sketch titled "The Thinker" on Instagram. The drawing depicts Rodin's iconic sculpture perched on a cliff, contemplating a vast, purple microscopic universe made of transistors and digital circuits—a chip die shot—signed "IS 2026." This cryptic image, saying "nothing yet everything," ignited widespread speculation in Silicon Valley. Some see it as a search for sacred meaning in silicon, others as a silent critique of brute-force compute scaling. It echoes Ilya's past influence, like the original OpenAI logo he once doodled on a wall. The post coincided with a triple announcement from OpenAI, intensifying the frenzy. First, an internal reasoning model discovered new geometric constructions, challenging a long-standing conjecture and impressing Fields Medalist Tim Gowers. Second, Codex for Mac introduced "Appshots," allowing it to access application windows—even text outside the view—and gained features like Goal Mode, a built-in browser, and plugin capabilities, evolving from a coding assistant into a persistent "resident engineer." Third, reports surfaced that OpenAI is preparing for a confidential IPO filing with banks like Goldman Sachs and Morgan Stanley, potentially eyeing a fall public listing. Together, these moves signal that AGI (Artificial General Intelligence) is not a distant slogan but an active force reshaping science, software engineering, and capital markets. Ilya's art hints at a paradigm shift where the boundary between human thought and silicon computation blurs. As OpenAI insiders excitedly say, "Feel the AGI," it suggests a tangible breakthrough may be imminent—one our generation is likely to witness.

marsbit05/25 06:51

Just Now, Ilya Drops Another Mind-Blowing Image ‘The Thinker’: What’s on His Mind in the Ocean of AI Chips?