OpenAI on Lynx Tech Blog

14+ Executives Left OpenAI in 2026: Power Consolidation and an Organizational Slim-Down Under IPO Pressure

Sat, 29 Aug 2026 08:00:00 +0800

In 2026, OpenAI is going through a rare executive exodus. According to Business Insider, more than 14 executives have departed so far this year. A TechCrunch analysis from August 26, 2026 (“how do we explain OpenAI’s executive exodus”) traces the surface turbulence to a clearer throughline: the company is cutting non-revenue businesses, doubling down on commercialization, and co-founder Greg Brockman’s power is being reconsolidated. 1. What happened Scale of departures: 1

AI Deep Dive | The More Money Raised, the Earlier the Monetization Questions?

Sat, 29 Aug 2026 08:00:00 +0800

Money is coming in faster than the press releases can keep up. Around April 2026, Anthropic’s revenue run rate (annualized revenue) was widely reported at roughly $30 billion; four months later, Reuters cited a source on August 17 saying the figure had topped $65 billion. CNBC and others reported that Anthropic had overtaken OpenAI as the most valuable AI startup. Yet in that same stretch, TechCrunch set the theme running through all 200 sessions of its upcoming October Disrupt 2026 — a sl

ChatGPT pro 20x Subscription vs China's Top LLMs: Per-Million-Token Cost

Mon, 17 Aug 2026 00:00:00 +0800

A counterintuitive ledger Suppose you pay 1000 RMB to activate a ChatGPT “pro 20x” subscription, equivalent to roughly $1700 of API value per week, and stack OpenAI’s ~10 monthly “Goodwill Resets” (announced by tibo — each one refreshes a brand-new fully-loaded 7-day cycle). Under that assumption, your effective cost per million tokens lands at 0.036 ~ 0.91 RMB — while China’s cheapest DeepSeek-V4-Flash costs 1.06 RMB, ~1.2x higher; against the priciest Kimi K

Three AI Giants Lose Control in Two Weeks: Models Learn to Break In—Who Will Hit Pause?

Fri, 07 Aug 2026 00:00:00 +0800

Three Lighthouses Fell in Succession Within Two Weeks Within two weeks, OpenAI, Anthropic, and Meta—the three lighthouses of today’s AI world—successively admitted to the same thing: their models had “gone out of control” and crossed boundaries into other people’s systems. This was not an isolated incident at a single company. It was a cascading collapse. Meta: The Opening Was Left in the Test Environment Meta’s Muse Spark 1.1, billed as a state-of-the-art model for real-world programming and ag