#NVIDIA market cap

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Jul 30, 2026·3 min

Cloud GPU Platform Selection: A Practical Guide from HuggingFace to Cloud Reproduction

In-depth analysis of five key dimensions for cloud GPU platform selection, covering RunPod, Lambda, Paperspace, Vast.ai, and more to solve environment setup challenges for open-source model reproduction.

Jul 30, 2026·3 min

Korean Retail Investors Blown Up by AI Investments: A Painful Lesson in Leveraged FOMO

Korean retail investors went all-in with leverage on AI stocks and faced devastating losses when valuations corrected. Analysis of AI bubble risks, leverage dangers, and FOMO traps.

Jul 30, 2026·3 min

Korean Retail Investors Wiped Out by AI Bets: The Painful Lesson of Leveraged FOMO Investing

Korean retail investors went all-in with leverage on AI stocks, facing massive losses as valuations corrected. Analysis of AI bubble risks, leverage culture, and FOMO traps with lessons for investors.

Jul 30, 2026·2 min

Gemini Suddenly Appeared in Gmail Then Disappeared? A Deep Dive into Gradual Rollout Mechanisms

A Reddit user found Gemini features in Gmail without a subscription, only to lose access a day later. This article explains Google's gradual rollout strategy and AI feature deployment logic.

Jul 30, 2026·3 min

Is LLM Inference Really That Expensive? Breaking Down the Cost Reduction Logic of GPU Compute and Inference Frameworks

Analyzing real LLM inference costs: from B200 GPU compute gains, vLLM framework optimization to MTP multi-token prediction, explaining why serving costs are widely overestimated.

Jul 30, 2026·3 min

GPT-5.6 Autonomously Optimizes Its Own Kernels: How AI Recursive Self-Improvement Could Cut Service Costs by 20%

OpenAI's internal model GPT-5.6 reportedly autonomously rewrites production kernels, achieving ~20% service cost reduction. Deep analysis of this AI recursive self-optimization event's technical plausibility and industry impact.

Jul 30, 2026·3 min

GPT-5.6 Autonomously Optimizes Its Own Kernels: How AI Recursive Self-Improvement Could Cut Service Costs by 20%

OpenAI's internal model GPT-5.6 reportedly autonomously rewrote production compute kernels, achieving ~20% cost reduction. Deep analysis of this AI recursive self-optimization event's technical plausibility, industry impact, and key questions.

Jul 29, 2026·2 min

AI Circular Deals: The Boom and Bubble Risk Behind the Commoditization of Intelligence

Deep analysis of AI circular deals: how mutual investments and procurement among chip makers, cloud providers, and model companies inflate valuations, and the bubble risks amid intelligence commoditization.

Jul 29, 2026·2 min

AI Circular Deals: The Boom and Bubble Risk Behind the Commoditization of Intelligence

Jul 29, 2026·3 min

Why Are AI Companies Frantically Hiring Electricians and Carpenters? The Blue-Collar Recruitment Truth Behind the Data Center Building Boom

OpenAI, Google, Meta, and other AI giants are massively recruiting electricians, carpenters, and plumbers. A deep dive into how the AI data center boom is driving a revaluation of blue-collar skills.

Jul 29, 2026·3 min

Is LLM Inference Actually Profitable? Breaking Down the Cost Structure and Business Logic of Large Model Inference

A deep dive into LLM inference cost structure and profitability models—from GPU throughput, MoE architecture, and KV Cache to scale effects—revealing the business logic behind API price wars.

Jul 29, 2026·3 min

Altman Warns of AI Monopoly Risk: A Few Companies Controlling AI Would Be Extremely Dangerous

OpenAI CEO Sam Altman warns that AI controlled by a few companies would be very dangerous. We analyze the real threats, his complex motivations, and paths to breaking AI monopoly.

Jul 29, 2026·3 min

Altman Warns of AI Monopoly Risk: A Few Companies Controlling AI Would Be Extremely Dangerous

OpenAI CEO Sam Altman warns that AI controlled by a few companies would be extremely dangerous. This article analyzes the real threats of AI monopoly, Altman's complex motivations, and paths to breaking concentration through open source, compute democratization, and regulation.

Jul 29, 2026·3 min

U.S. Ban Targets Chinese Humanoid Robots: A New Front in the AI Race

Analysis of the U.S. ban on Chinese humanoid robots: data security concerns, industrial protection motives, and how the AI race extends into Physical AI and robotics hardware.

Jul 29, 2026·3 min

U.S. Ban on Chinese Humanoid Robots: A New Front in the AI Race

Analysis of the U.S. ban on Chinese humanoid robots: data security concerns, industrial protection motives, and how the AI race extends into Physical AI and robotics hardware.

Jul 29, 2026·2 min

AI Bubble Fears Intensify: The Logic Behind Chip Stocks Selling Off Across U.S. and Asian Markets

Chip stocks fall simultaneously across U.S. and Asian markets as AI bubble fears intensify. Analysis of the drivers, sustainability of AI capex, and the balance between short-term volatility and long-term trends.

Jul 29, 2026·3 min

Google's $1 Billion Dark Fiber Deal with Verizon: AI Infrastructure Competition Goes Deep

Google signs a $1B+ dark fiber deal with Verizon to interconnect data centers for AI training and inference. Verizon launches AI Connect, converting central offices into edge compute nodes.

Jul 29, 2026·2 min

Grok 4.6 and 4.7 Roadmap Leaked: Analyzing xAI's Rapid Iteration Strategy

Reddit leaks suggest Grok 4.6 arrives around August 7 and Grok 4.7 in early September. This article analyzes xAI's rapid iteration strategy and token efficiency improvements.

Jul 29, 2026·2 min

AI Bubble Fears Intensify: The Logic Behind Chip Stocks Selling Off Across US and Asian Markets

Chip stocks decline simultaneously across US and Asian markets as AI bubble fears intensify. Analysis of the logic behind the selloff, sustainability questions around AI capex, and the relationship between short-term volatility and long-term trends.

Jul 28, 2026·3 min

Is Useful AI Just a Fantasy? A Deep Examination of Expectations vs. Reality

As AI hype sweeps the globe, have our expectations far exceeded reality? This article examines the demo-vs-production gap, self-reinforcing capital narratives, and cognitive biases to provide a sober framework for judging AI's true utility.