126 related articles
Embracing AI in the Classroom: A Teach…
One teacher chose not to ban AI but to co-create a classroom contract with students. This article examines the logic, contract design, and educational philosophy behind this teaching experiment.

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.

Why can a mini PC with unified memory run a 70B model while an RTX 4090 can't? A deep dive into the VRAM wall and unified memory architecture for smarter local AI hardware choices.

How did Ollama grow from a niche open-source project into developers' default choice for running local LLMs? This article breaks down its rise across product design, technical strategy, and ecosystem building.

A collection of 28 fully reproducible enterprise-grade AI Agent projects covering code debugging, financial analysis, customer service, and multi-agent collaboration—deployable even for beginners.

Players widely distrust Steam's AI disclosure labels, suspecting developers hide AI usage. We examine the three root causes and how the games industry can rebuild trust.

Google Search Console's new "platform properties" feature lets creators track which Google search terms drive traffic to Instagram, YouTube, and other social accounts — no standalone website required.

An Agent developer's three-round interview reveals why general-purpose Agents are a dead end for startups. The path forward: vertical Agents, domain context, and iteration speed as a moat.

An Ivy League professor switched to an in-person exam and average scores dropped 50%. This accidental experiment reveals the true scale of AI cheating and what it means for education.

Tencent Hunyuan and Tsinghua jointly release DiscoBench, the first benchmark evaluating search agents' dynamic ambiguity clarification. Covering 463 ambiguity instances across 11 domains, it reveals real weaknesses of mainstream LLMs.

Kagi's new AI Toggle lets users control whether AI summaries appear in search. A deep dive into its subscription model, product philosophy, and lessons for AI search.

AMD officially unveils the Ryzen AI Halo local AI dev kit, priced around $4,000 with 128GB unified memory, capable of running 70B LLMs locally. An in-depth look at its specs, pricing, and market competition.

Zhuque is Tencent's AI content detection tool integrated into WeChat and Toutiao. This article explains how Zhuque works, why AI articles get flagged, and what creators should know about trace-removal tools and their risks.

An in-depth hands-on review of Zhipu AI's flagship GLM-5.2: 1M-token context, strong coding, mature agent workflows—at one-fifth the price of top frontier models. Covers website testing, Cursor integration, MCP tooling, and production migration.

Can a brand's "visibility" in AI answers really be quantified? This article deeply dissects the methodological flaws of AI visibility dashboards—from LLM output randomness and black-box mechanisms to vanity metric traps.

Google Search and Google Shopping integrate AI features including semantic search, visual recognition, price comparison, and personalized recommendations to help users discover secondhand and vintage items more efficiently.

Why do C programmers keep creating readability disasters? An in-depth look at macro abuse, fancy pointer tricks, and over-nesting—and how coding standards, static analysis, and code review protect maintainability.

Andrew Ng and LangChain CEO Harrison Chase present AI Agents in LangGraph, covering five core agent design patterns and LangGraph's graph-based framework for building cyclical agentic workflows.

Andrew Ng and LangChain CEO Harrison Chase's AI Agents in LangGraph course covers five agent design patterns and LangGraph's graph-based framework for building cyclical AI workflows.

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.