#phone clusters
59 related articles
·3 min
Benchmarking LLMs on Smartphones: A Deep Dive into the MELTing Point Benchmark
The MELTing Point paper is the first to evaluate mobile LLM performance in real user scenarios, covering iPhone, Samsung, Pixel and more, testing TinyLlama, Mistral-7B and others—revealing GPU inference gains, 47°C heat warnings, and prefill-decode disaggregation.
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·6 min
DeepSeek Builds Its Own AI Chips: The Strategic Logic and Challenges Behind Compute Independence
DeepSeek is entering AI chip development, targeting compute autonomy. This article analyzes its motivations, software-hardware synergy, chip R&D challenges, and impact on China's AI vertical integration.
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·7 min
Grok 4.5 Launch: Coding AI Market Reshuffle, Anthropic Claims Half the Territory
Grok 4.5 launches at just $0.49 per task, 90% cheaper than rivals. Anthropic's Claude Code claims 50% of the AI coding market. SambaNova raises $1B. Read the latest AI market shifts.
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·5 min
Ollama Raises $65M Series B: 85% of Fortune 500 Have Already Deployed Local LLMs
Local LLM tool Ollama closes a $65M Series B, bringing total funding to $88M. With 9M developers and 85% of Fortune 500 having deployed internally, this deep dive explores why enterprises embrace local LLMs: compliance, Agent cost savings, and open-source ecosystem.
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·5 min
Behind Apple's Across-the-Board Price Hikes: How the AI Arms Race Is Driving Up Your Purchase Costs
Apple raised prices across MacBook, iPad, and Mac Studio, with Mac Studio up 25%. The real driver behind surging memory prices is AI's explosive demand for HBM and DRAM. A deep dive into the logic and how consumers should respond.
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·3 min
Musk Pledges Not to Cut Off Anthropic: The Trust Game in AI Cloud Infrastructure
Musk publicly pledges not to cut off Anthropic's compute access. We break down the $40B stakes, AI infrastructure coopetition, and how companies manage trust risk in a compute-concentrated era.
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·6 min
Beware the Gemini Free Membership Scam: The Account Security Risks of Leaked Backup Codes
Exposing the phishing trap behind the "free Gemini Pro membership" tutorials circulating on video platforms: they lure users into handing over account passwords and backup recovery codes, leading to account theft. This article breaks down the process technically and teaches you to spot three danger signs.
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·3 min
Running LLMs Locally: The Illusion vs. the Real Value of Open-Weight Models
Open weight ≠ runnable locally. This article breaks down the hardware barriers, VRAM limits, electricity costs, and parallelism constraints of models like GLM 5.2 and DeepSeek — revealing where open-weight models truly add value: driving cloud competition, not home replication.
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·6 min
Xiaomi XiaoAI 10.1-inch Smart Control Panel: Is the AI LLM Integration Worth It?
Xiaomi XiaoAI 10.1-inch Smart Control Panel features AI LLM Q&A, WeChat calling, and whole-home Mi IoT control. Priced at 839 yuan, ~679 yuan after national subsidy. An in-depth review of AI capabilities, screen experience, and smart home integration.
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·6 min
Xiaodu Health Screen Review: How an AI Large Model Enhances Companionship and Remote Care for the Elderly
In-depth review of the Xiaodu Health Screen: a 10.1-inch large display with an AI large model, supporting remote care, emergency calling, and smart companionship, designed for the elderly. Final price as low as ~598 yuan with national subsidies.
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·5 min
Claude Cowork Arrives on Mobile and Web, with Max Users Getting Early Access
Anthropic's AI collaboration platform Claude Cowork officially expands to mobile and web, breaking free from desktop-only limits. Max subscribers get early access, with other plans rolling out over the coming weeks.
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·6 min
AI Characters Crashing Real-World Parties? The Boundaries of Virtual Socializing Are Vanishing
A tweet about an AI character "attending" a July 4th party reveals how virtual and real-world social boundaries are dissolving. A deep dive into AI socialization, anthropomorphism, and attention scarcity.
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·2 min
Chrome Silently Installed a 4GB Local AI Model: The Battle for Transparency in the On-Device AI Era
Google Chrome silently downloaded a 4GB Gemini Nano AI model without user consent, sparking Hacker News debate. A deep dive into on-device AI, user rights, and transparency.
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·7 min
Inside the AI Fraud Industry Chain: Deepfakes and Identity Deception Revealed Through the Lily Jay Incident
The Lily Jay incident exposes the AI fraud industry chain: how deepfakes, image synthesis, and content automation create fake identities. Practical methods for identifying false content in the AI era.
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·3 min
Liang Wenfeng and DeepSeek: How an Idealist Is Disrupting Global AI with Algorithmic Efficiency
Why did DeepSeek go open-source? How does a 300-person team beat tech giants? A deep dive into Liang Wenfeng's logic: flat org, algorithmic efficiency, and open-source disruption.
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·6 min
OpenAI CFO Deep Dive: IPO Stance, Compute Shortage, and Jony Ive's New Hardware Revealed
OpenAI CFO Sarah Fryer discusses the $122B fundraise, IPO timeline, Anthropic rivalry, compute shortage crisis, and the mysterious Jony Ive hardware collaboration on the All-In Podcast.
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·4 min
AI Deleted a Database in 9 Seconds and Nearly Destroyed an Entire Company: Humanity's Ultimate Edge Against Replacement
Two real AI Agent disasters reveal: AI can delete a database in 9 seconds, but only humans can clean up the mess. Deep analysis of why humans remain irreplaceable in the AI era.
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·2 min
Apple Intelligence Is Taking Too Long, and Users Are Running Out of Patience
Apple Intelligence has been slow to roll out since WWDC, leaving users frustrated. With Google Gemini and Samsung Galaxy AI racing ahead, Apple's cautious strategy risks becoming a competitive liability.
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·3 min
xAI Hiring Chinese-Speaking Trainers at $45/Hour, OpenAI Rebuilds Robotics Team
xAI opens remote Chinese AI Tutor roles at $35-45/hr to train Grok's voice capabilities. OpenAI rebuilds its robotics team, Microsoft preps a proprietary coding model, and a company accidentally spends $500M on AI in one month.
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·3 min
Google CEO Admits Gemini Lags in Coding: Lacking an Entry Point Is Just the Surface — What's the Real Problem?
Google CEO Pichai admits Gemini lags behind Cursor and Claude Code in AI coding, blaming lack of product entry points. But the real issues are failed product experience, lost developer trust, and ecosystem advantages that haven't converted to competitiveness.
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