A flood of AI-generated apps with no users and no revenue is straining Apple’s review infrastructure, stretching wait times from hours to weeks — while Apple simultaneously cracks down on the tools driving the surge, introduces AI transparency requirem…
Anthropic’s recent dispute with the U.S. government represents an early test of how far an AI company is willing to go to control the use of its technology. Here’s what founders should take away.
The company is dangling pre-release model access and financial terms well above market to lock in PE distribution ahead of a possible IPO. Anthropic’s parallel effort offers no such guarantee.
The diffusion curve for agentic AI mirrors cloud’s trajectory. If history is any guide, the market is still orders of magnitude away from maturity.
OpenAI co-founder Andrej Karpathy says December 2025 was the inflection point. The data — and the job market — are beginning to agree.
Both companies are in advanced talks with major private equity firms to form joint ventures that would push their AI into enterprise operations. The move reveals less about AI ambition than about a persistent, measurable gap in enterprise adoption.
The delivery giant’s new Tasks app pays couriers to film everyday activities and record speech samples, positioning DoorDash as a data infrastructure provider, not just a logistics platform.
As AI shifts from retrieving fixed content to generating it on demand, the shared internet is fracturing into billions of individual experiences. The business models built on a common web may not survive the transition.
The Amazon founder is pitching sovereign wealth funds and major asset managers on a fund that would buy industrial companies in chipmaking, defense, and aerospace, then retool them with AI.
Karpathy’s autoresearch and the cognitive labor displacement thesis converge on the same conclusion: the scientific method is being automated, and the knowledge workforce may be the next casualty.