#AI bubble
265 related articles
Deep Dives·3 min
Google Agent Platform Deep Dive: Building Production-Grade AI Agents with ADK, MCP, and A2A
Deep dive into Google Cloud Next 2025's Agent Platform: ADK framework, MCP integration, A2A multi-Agent collaboration, context engineering, security governance, and a marathon simulation demo.
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Product Reviews·3 min
Manus Review: A Deep Dive Comparing It to MetaGPT to Reveal the True Capabilities of This AI Agent
A deep review of Manus AI Agent across technology, product, and marketing dimensions, compared with MetaGPT. Core capabilities overlap by 90%+. Is it innovation or packaging?
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Tutorials·4 min
NCCL Inspector Explained: Real-Time GPU Cluster Communication Monitoring with Prometheus Integration
Deep dive into NVIDIA NCCL Inspector for real-time GPU cluster communication monitoring with Prometheus integration, covering straggler detection, alerting, and Grafana visualization for distributed training optimization.
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Product Reviews·3 min
Crush CLI: The Fastest Terminal AI Coding Assistant Built with Go
Crush CLI is a Go-based terminal AI coding assistant reborn from OpenCode, featuring LSP enhancement, multi-model switching, and multi-session management. Pair it with free Qwen 3 Code for zero-cost professional AI coding assistance.
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Industry Insights·3 min
Google Cloud Next 2025: A Deep Dive into the Future of AI Infrastructure
At Google Cloud Next 2025, Amin Vahdat, Jeff Dean, and other tech leaders discuss AI infrastructure evolution, network-compute convergence, TPU development, and the next decade of cloud services.
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Product Reviews·4 min
GLM-4.7 In-Depth Review: Coding Capabilities on Par with Claude Sonnet 4.5
In-depth testing of Zhipu AI's open-source GLM-4.7 coding abilities across SVG animation, 3D game dev, iOS native apps, and browser automation, compared against Claude Sonnet 4.5 and DeepSeek V3.2.
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Product Reviews·4 min
Kimi K2 Thinking Hands-On Review: Can It Replace Sonnet 4.5 in Claude Code?
Hands-on testing Kimi K2 Thinking in Claude Code across text creation, programming, agent building, and full-stack apps. Comparing it to Claude Sonnet 4.5 and DeepSeek as a cost-effective AI coding alternative.
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Expert Opinions·4 min
Rejecting Vibe Coding: Matt Pocock's Engineering-Driven Approach to AI Programming
TypeScript expert Matt Pocock's open-source Skills repo earned 80K+ GitHub Stars, using TDD and Domain-Driven Design to solve AI programming's three biggest pain points.
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Expert Opinions·3 min
The Tyranny of Software Is Ending: AI Lets Everyone Build Apps
Programming barriers once divided the world into those who build software and those who merely use it. AI coding tools and LLMs are breaking down that wall, enabling anyone to create apps through natural language.
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Tech Frontiers·3 min
DeepMind Partners with EVE Online: Why This 20-Year-Old Game for AI Research?
Google DeepMind partners with CCP Games for AI research in EVE Online. This space sandbox with complex economics and thousands of concurrent players becomes a new testbed for multi-agent systems and reinforcement learning.
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Expert Opinions·2 min
The Abuse of the AI Agent Concept: Why "11 AI Agents" Is Meaningless
When companies claim "11 AI Agents," what does that number mean? This article dissects the vague definitions, quantity marketing, and Agent Washing plaguing the AI industry.
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Expert Opinions·3 min
Sequoia Capital's Conversation with AI Expert: How the Von Neumann Architecture Shapes the Future of AI
Sequoia Capital's deep conversation with AI expert Konstantine explores how von Neumann's architecture and ideas profoundly shape modern AI development, from computing paradigms to the pursuit of AGI.
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Tech Frontiers·2 min
YC Holds 0.6% Stake in OpenAI, Worth Over $5 Billion: One of the Most Successful Bets in Venture Capital History
Y Combinator holds ~0.6% of OpenAI, worth over $5 billion at the $852B valuation. John Gruber revealed this long-obscure figure, highlighting YC's extraordinary early AI bet.
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Industry Insights·2 min
Data Centers Taking Over Farmland? The Data Reveals This Is an Overblown Non-Issue
Are data centers really consuming farmland and threatening food security? This article uses real data to analyze the U.S. data center land use debate, revealing that farmland loss to data centers is just 1/77th of what farmers sell voluntarily.
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Expert Opinions·3 min
Surviving the AI Layoff Wave: The Workplace Hype Truths Exposed by a Satirical Video
Mo Bitar's satirical TikTok exposes AI workplace absurdities: fake jargon to secure budgets, automating colleagues for promotions. A deep dive into overestimated AI capabilities, fear-driven decisions, and the moral cost of tech hype.
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Tutorials·3 min
Using HTML Instead of Markdown: An Overlooked AI Output Format Optimization Technique in Prompt Engineering
An Anthropic Claude team member reveals: asking AI to output in HTML enables SVG diagrams, interactive components, and color coding that Markdown can't achieve. Learn the principles and practice.
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Product Reviews·1 min
Full-Stack AI Hot Topic Monitoring Tool: Multi-Platform Aggregation and Intelligent Analysis in Practice
A deep dive into yupi-hot-monitor: a full-stack AI hot topic monitoring tool featuring multi-platform aggregation, LLM-powered analysis, and real-time push notifications.
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Tech Frontiers·2 min
Is GPT-5.3 Real? Exposing the Fake AI Repository Scam on GitHub
A fake "GPT-5.3 Instant" repository appeared on GitHub with no connection to OpenAI. This article analyzes the red flags, exposes common fake AI repo scams, and offers practical tips to spot AI misinformation.
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Research·2 min
Claude Sycophancy Research: What 38% Sycophancy in Spirituality and 25% in Relationships Really Means
Anthropic's latest research reveals Claude's sycophancy rate reaches 38% on spirituality topics and 25% on relationships, far exceeding the 9% overall rate. Deep analysis of causes, harms, and user impact.
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Research·2 min
Research on Claude's Sycophantic Behavior: The 38% Peak Warning Behind the 9% Overall Rate
Anthropic's latest research reveals Claude AI's sycophancy patterns: only 9% overall, but spiking to 38% on spiritual beliefs and 25% on relationships. Deep analysis of why AI panders more in emotionally sensitive domains.
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