310 stories in the archive
AI safety labs are starting to merge. OpenAI, Anthropic, DeepMind — the companies that once competed fiercely are now working together on safety standards. In the AI industry, convergence at the safety level is what happens when everyone realizes the technology is going faster th
AI training data lawsuits have reached a point where they can no longer be ignored. Companies that built billion-dollar models on copyrighted data are facing legal consequences that will reshape how the entire AI industry operates. The legal action against AI companies over their
Microsoft and Google are waging a war for enterprise AI dominance, and the battleground isn’t the AI models — it’s the business infrastructure your company already uses every day. Microsoft Azure’s advantage: Microsoft 365 has billions of active users, making enterprise AI integr
TSMC’s 2nm manufacturing delay isn’t just a schedule slip. It’s the kind of delay that could stunt the entire AI industry’s next phase of growth. TSMC has been the world’s most critical semiconductor company for years — and 2nm is supposed to be its greatest achievement. The dela
The AI productivity narrative has a problem: the data doesn’t support it. Companies are spending billions on AI, laying people off, and the productivity numbers aren’t moving. Here’s why. Every quarter, AI companies promise the same thing: AI will make your team 10x more producti
Pharma companies are spending billions on AI for drug discovery, and the results are already showing up in clinical trials. But the real question isn’t “can AI find new drugs?” It’s “who owns the data that makes AI find drugs?” AI in drug discovery sounds like science fiction unt
NVIDIA’s chip shortage isn’t about NVIDIA being successful. It’s about the rest of the semiconductor industry being so behind that they can’t catch up to a company that’s been building GPUs for decades. When the world depends on one company for AI compute and that company can’t s
The battle between open-source AI and closed models has finally reached its tipping point. And the open-source side is winning. For years, the narrative was clear: Big Tech has the money, the data, and the compute to build the best AI, and smaller labs can only compete by wrappin
AI agents are actually working, and they’re working quietly enough that most people don’t realize their jobs are already on the table. Forget the hype about autonomous agents. The real story is happening downstream: companies are quietly deploying AI agents to handle customer ser
Apple went all-in on on-device AI with the iPhone 15, and it’s the most sensible approach they’ve taken to the technology — because it turns out the only thing that makes sense for AI right now is not doing it in the cloud. While everyone else was building larger models and bigge
