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After Doubao Hits the Wall, StepFun's STEPX Neo Aims to Break App Silos with Protocols
On July 13, 2026, StepFun released the world's first large-model native agent smartphone, STEPX Neo. Against the backdrop of ByteDance's Doubao phone assistant hitting a wall due to simulated clicks triggering WeChat's risk control, STEPX Neo attempts to use the GUI-MCP protocol to transform cross-app operations from confrontation to cooperation. This article reviews the lessons of Doubao's wall-hitting, analyzes StepFun's technical foundation and ecosystem strategy, and explores the real resistance and feasibility of AI phones breaking through app ecosystem walls.
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Behind the Storage Leader's 20%+ Plunge: Did Meta's Sale of Surplus Computing Power Shatter Faith in AI Infrastructure?
The US storage chip leader has dropped over 20% recently, triggered directly by concerns of a 'computing power surplus' following Meta's sale of surplus computing power. Behind this is not just a short-term sentiment vent; the storage chip industry is undergoing a business model restructuring from commoditization to long-term contract customization. As the technological gap among large models shrinks, the AI industry chain enters a profit verification phase, and the divergence in computing power supply and demand, along with valuation repricing, are profoundly impacting industry decisions.
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ChatGPT Major Update: Cross-Platform Work, One-Click Website Building, and Even Cheaper
OpenAI released the GPT-5.6 series models and merged ChatGPT with Codex, restructuring execution costs through Terra's half-price substitute and Luna's extremely low pricing, while pushing AI tools towards asynchronous execution with cross-platform scheduled tasks in Work mode. This article analyzes how this combination reshapes productivity boundaries and explores the ecosystem poaching strategy and potential permission risks behind it.
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Demystifying AI Collaboration Tools: Is Organizing Reports and Checking Spreadsheets the Most Frequent Scenario?
The public often views AI collaboration tools as exclusive code generators for programmers, but data from 1.2 million sessions disclosed by Anthropic shatters this stereotype. Business process and operations topped the list at 33.4%, while software development accounted for only 8.7%. This article provides an in-depth interpretation of this contrasting data, revealing how AI acts as a 'digital intern' taking over 'connective work' such as organizing reports and checking spreadsheets, filling the gaps in cross-team collaboration, and explores the practical implications for non-technical office workers.
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After cutting 80% of system prompts, Claude Fable 5 starts asking developers questions
Anthropic releases Claude Fable 5 field guide, marking a shift in the core contradiction of AI collaboration. When system prompts are reduced by 80% and model intelligence is no longer the bottleneck, the ceiling of output quality becomes the developer's ability to clarify unknowns. This article breaks down how the four-type unknown matrix maps to specific prompt patterns, analyzes the essential differences between this mechanism and traditional AI response paradigms, and confronts pain points such as token burning and interaction fatigue.
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Tencent Hunyuan Hy3 Officially Launched: The Productivity Trump Card Behind Nearly 50 Businesses Lining Up to Integrate
On July 6, 2026, the official version of Tencent Hunyuan Hy3 was released, making significant progress in productivity tasks such as software development, office productivity, and financial modeling, and fully integrating into a massive number of internal business scenarios. Can this approach of 'foundation model + massive business scenarios' carve out a differentiated path in the second half of the domestic large model race?
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From "Provisional" to "Revision": The Qualitative Change in AI Regulation Logic, How Should Entrepreneurs Calculate the Compliance Ledger?
In July 2026, the Cyberspace Administration of China released the revised draft of the "Internet Information Service Management Measures," introducing a dedicated chapter on "Intelligent Information Services" for the first time. Compared to the 2023 provisional measures, the new regulations significantly increase regulatory granularity in areas such as data source disclosure and prohibition of mandatory use. This article deeply analyzes the practical impact of the new regulations on AI entrepreneurs and developers in terms of compliance costs and business models from three core scenarios: data traceability, anti-bundling design, and labeling and pre-emptive prevention of online violence.
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1.6 Trillion Parameters and Free Caching: Deconstructing Meituan LongCat-2.0's Agent Cost Economics
What architecture and commercial strategy advantages enabled Meituan LongCat-2.0 to secure top-three global call volume on OpenRouter, and why are domestic large language models keen on conducting large-scale preview calls via OpenRouter before official launches?
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Seeking Sleeping Pills from AI at 5 AM: A Human Atlas in a Large Model Usage Timetable
Anthropic's latest 'Economic Index' June report reveals that AI has deeply embedded itself into human biological clocks and emotional gaps. From 7 AM news queries to 5 AM sleep assistance, from surging personal conversations on weekends to spikes in financial requests before tax day, AI is evolving from a productivity tool into life infrastructure. Even more counterintuitively, those who most boldly delegate work to AI are least anxious about unemployment. This article deconstructs the reshaping of life rhythms and shifts in work psychology behind this timetable from a human behavioral perspective.
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Behind DeepSeek's 85% Speed Increase: Large Models Bid Farewell to Parameter Race, Embracing Cost War
In June 2026, a DSpark paper signed by Liang Wenfeng was released, and the generation speed of DeepSeek-V4 online service under real traffic increased by 85%. This is not merely a hardware upgrade, but the elimination of computational waste from invalid checks through confidence scheduling. The competition in large models is shifting from a sprint in parameter scale to a systematic engineering game of inference efficiency and computational cost.
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AI Hasn't Killed Engineers; Tech Giants' Hiring Share Rises to 55%
VC firm SignalFire's latest report shows that overall hiring by tech giants dropped 25% in 2025, but the share of engineers surged from 46% to 55%. This article delves into the Jevons Paradox logic behind the counter-trend growth of engineering roles, and contrasts the cliff-like decline of basic white-collar jobs such as writing, translation, and customer service based on third-party data, revealing how AI is carving a dual-track labor market.
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Masayoshi Son pours cold water: Is Musk’s space data center just sci-fi hype that defies common sense?
Masayoshi Son dismisses Musk’s space data center vision, pointing out that the AI showdown will happen on land. This article breaks down the real cost structure of AI computing infrastructure, comparing 71% hardware depreciation against 9% electricity cost, and reveals the hundred-ton payload disaster caused by space vacuum cooling and the fatal blow of millisecond communication latency to microsecond-level training. Why must computing power siting ultimately be on land? Investors and industry observers need to see this hard engineering math clearly.
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Japan's AI Dark Horse Emerges: How a 7B Small Model Challenges Fable and Mythos?
On June 22, 2026, Sakana AI released the Fugu model, surpassing GPT-5.5 and Opus 4.8 on SWE-Bench Pro and TerminalBench, and claiming to rival Fable and Mythos. Its core is not a hundred-billion-parameter giant, but the 7B-parameter RL Conductor. This article dissects Fugu's multi-agent orchestration architecture, analyzes its practicality in real development scenarios, and explores Japan's asymmetric breakthrough path for large models under computational constraints.
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Everything Beyond the Model Is Harness: DeepSeek Enters the Fray, Why Has the Main Battlefield of Domestic AI Competition Shifted?
DeepSeek has formed a Harness team, internally benchmarking against Claude Code. As foundational large model capabilities gradually level out, the era of simply competing on parameters is passing. Large model vendors are now stepping in to build toolchains themselves, and the main battlefield of domestic AI competition is shifting from 'forging large models' to 'building toolchains and office implementation.'
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No Sales Team, $20 Million in Revenue: How AI Employee Viktor Won Over 30,000 Enterprises
Traditional enterprise software expansion relies on massive sales teams and lengthy implementation cycles, but AI employee Viktor has shattered this conventional wisdom. According to official disclosures, the product achieved $20 million in annualized revenue on the Slack platform without forming a sales team or undertaking implementation projects. As AI employees abandon prompt engineering and move toward "zero-barrier @mentions," has the tipping point for enterprise automation arrived?
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