169 related articles

A real case: a creator launched an AI photo generation product in 3 hours with zero code, and got paid the next day. This article breaks down the full loop methodology.

Top U.S. AI labs rely heavily on immigrant talent. This deep dive examines how researchers from China, India, and beyond shape AI innovation at Stanford, MIT, OpenAI, and more.

Vibe Coding is a new AI-era programming paradigm focused on logic over syntax. Use Claude Code, Cursor, and LangChain to ship products solo and 10x your productivity.
Forward Deployed Engineer (FDE): The M…
Forward Deployed Engineers (FDEs) are the hottest emerging role in AI. Learn what FDEs do, what skills they need, why companies like Palantir and OpenAI can't hire enough of them, and what this means for your career.

Learned Claude, n8n, or Coze but unsure how to monetize? This article breaks down the core logic of AI automation monetization: prove business value with data, build case studies, and develop a credible personal brand.

A 20-year-old student built iOS app TrumpSignal using Claude for $545, earning $1,200/month in passive income. Full breakdown of costs, niche strategy, and Vibe Coding lessons.

Thinking Machines Lab releases Inkling, its first open-weight model. Founded by former OpenAI members, the startup enters the LLM market with an open-weight strategy enabling local deployment and private fine-tuning.

At the Microsoft Research India summit, top experts explore the real progress of multimodal AI and embodied intelligence: fusing classical robotics with large models, healthcare AI deployment challenges, perceptual bottlenecks in reasoning, and possibilities beyond scaling.

Can selling RL environments be a viable startup? We break down TAM, technical barriers, Scale AI competition, and real niche opportunities in this emerging space.

AI tools are lowering startup barriers, making one-person companies a real possibility. Explore how AI reshapes entrepreneurship, compresses costs, and what challenges remain.
Can Vibe Coding Build a Hit Product? T…
A carrier pigeon messaging app built with vibe coding hit 350K MAU and high revenue? We break down the case, the real engineering limits of AI coding, and what it means for indie developers.

Sending hundreds of resumes with no response? This article breaks down the core pain points in today's tech job market — ATS filtering, spray-and-pray fatigue, neglected referral channels — and offers actionable strategies to break through.

Is paying for an internship worth it? This deep dive into AI/ML "internship commodification" exposes the real problems with pay-to-intern schemes and offers actionable alternatives — open source, cold outreach, and technical fundamentals.

The U.S. White House is considering an executive order on open-source AI, touching on national security, tech proliferation, and industry competition. A deep dive into its possible directions and impact.

Microsoft open-sources dotnet/skills, packaging .NET/C# best practices as structured skills for AI coding agents. Bridges domain knowledge gaps in general LLMs, improving code quality for GitHub Copilot and other tools.

How can CS students who dislike competitive programming systematically pivot to AI/ML? This guide covers skill priorities (Python/SQL/ML/deployment), portfolio strategy, Kaggle tips, and real paths to landing AI/ML internships.

A fake Cook-to-Altman email screenshot leads to the real Silicon Valley history of secret no-poach agreements. This article analyzes the antitrust lawsuits of Apple, Google, and others, revealing compliance red lines in the AI-era talent war.

Generative AI tools have flooded social media with AI-generated content, hitting LinkedIn hardest due to its professional nature. A deep dive into the causes, ecosystem impact, and solutions.

Complete guide for configuring OpenAI Codex Agent in China, covering installation, API key setup, permission modes, reasoning intensity, and security considerations for third-party relay services.

What is an AI Agent? Starting from Bill Gates' claim about the computing revolution, this article explores AI Agents' intuitive concepts, four core components (LLM+Planning+Memory+Tools), and what Agent development means for programmers.