AI

OpenAI’s 20% Price Cut Isn’t a Win. It’s a Desperate Surrender.

OpenAI’s 20% price cut on GPT-5.6 Sol looks like a win for developers, but it’s actually a desperate defensive move that betrays paying subscribers. By slashing Codex usage limits while lowering API prices, OpenAI is sacrificing its premium positioning and signaling the rapid commoditization of AI models. The real power is shifting to the distribution layer.

ChatGPT for Teens Has a Fatal Flaw Nobody Is Talking About

OpenAI launched ChatGPT for Teens, but everyone is obsessing over the wrong features. The real challenge isn’t Study Mode or parental controls—it’s the invisible decision chain of age verification. If your system relies on a binary switch, you’re not protecting minors; you’re building a false sense of security.

I Spent 1 Hour Telling a Client Not to Build an AI Knowledge Base (And They Thanked Me)

Enterprise AI knowledge bases fail not because of poor RAG or model hallucinations, but because of organizational laziness. When a major tech company asked me to build an AI ‘think tank’ out of 200,000 documents, I refused the project. Here’s why telling the truth is better than delivering a dead project, and the 3 diagnostic questions to save your next AI initiative.

The Real AI Breakthrough Isn’t Smarter Models. It’s a Company That Gives AI a Social Security Number.

Naïve transforms business infrastructure into an API for AI agents. Two 20-year-old dropouts are building the operating system for AI-run companies—and it’s already growing 10x in six months. The bottleneck isn’t intelligence; it’s identity.

The $3 Billion Mistake: Why Alibaba’s AI App Just Turned to Paid Features

Alibaba’s Tongyi Qianwen spent $3 billion on marketing to become the default AI assistant, only to see users vanish when the freebies ended. Now it’s pivoting to paid subscriptions—not because it’s confident, but because an internal rival (Tongyi Office) has already absorbed the company’s best AI assets. This is a survival story, not a growth story.

Stop Winging It: The AI Strategy That Turns Live Streams into Predictable Sales Machines

Most teams use AI to write live stream scripts—and fail. The real breakthrough is using AI to build a decision map: anticipate every user state, question, and objection before going live. This article reveals a three-phase framework (pre, live, post) that turns chaotic broadcasts into predictable, data-driven sales engines. Stop winging it. Start structuring.

I Spent a Week Replacing Claude with Codex. Here’s What I Learned About the AI Coding War Nobody’s Talking About.

After a week of ditching Claude for Codex, one developer reveals the real difference between AI coding assistants: it’s not about accuracy, but personality. Codex delivers concise, fast code; Claude overengineers with comments. The choice comes down to whether you value speed or safety—and most developers are choosing wrong.

Stop Calling AI an ‘Intelligence Amplifier.’ It’s Cognitive Anesthesia.

The tech industry sold us on AI as an intelligence amplifier, but it’s functioning as cognitive anesthesia. The more we outsource our thinking to AI, the more our ability to perceive, remember, and judge its output degrades. The real danger isn’t that AI will fool us—it’s that we’re being trained to accept bland, unmemorable communication as the new normal.