Boston Children's Hospital is deploying OpenAI's new healthcare product. The executive leading the rollout says an AI casualty is "very likely." He's doing it anyway. The math behind that decision reveals how hospitals are thinking about risk.
San Francisco | January 8, 2026 OpenAI launched a healthcare product that connects to 2.2 million providers. The catch: by
Grok's crisis isn't about AI capabilities. ChatGPT and Gemini generate similar content. The difference: X publishes outputs to a public feed by default. That architectural choice, plus gutted safety teams, created the first mainstream abuse engine.
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A German indie developer spent 18 months building AI autocomplete that works everywhere on your Mac. It runs locally, costs nothing in cloud fees, and faces one existential threat: Apple announcing the same feature as a macOS bullet point.
OpenAI is merging teams and rushing a March audio model, but the real goal isn't better voice. It's preventing a future where ChatGPT becomes the engine but not the car—powerful technology that users access through competitors' devices.
Instagram's Adam Mosseri admits Meta can't detect AI content flooding the platform—and says camera manufacturers should solve the problem Meta helped create. Photographers face a choice: degrade their work to prove they're human, or get buried by free synthetic content.
OpenAI burns $17 billion annually while Anthropic eyes $300B valuation. Can AI companies bridge the gap between investor hype and actual profits? 2026 tests whether impressive technology becomes sustainable business—or just expensive demos.
Memory makers choose AI over PCs and phones, consuming 3x capacity for high-bandwidth chips. Result: prices up 50-100%, shortages through 2027, and a semiconductor market split between AI infrastructure and everyone else scrambling for scraps.
Meta spent billions building free AI that nobody pays for. Then it bought Manus, a startup that convinced millions to subscribe in eight months. The acquisition reveals more about Meta's monetization struggle than its technology.
AI coding tools promise 55% productivity gains. A new study found developers actually work 19% slower with them—but feel faster. The gap between perception and reality explains why some users can't stop prompting, even at 2 AM.
Nvidia paid $20 billion for Groq's technology and hired its leadership. But it's not an acquisition, according to Jensen Huang. The licensing deal structure has become Silicon Valley's preferred method for absorbing competitors while avoiding regulatory scrutiny.
Astra AI just won Slovenia's Startup of the Year. The numbers look great: 170,000 users, expansion into Germany, rave reviews. But their claimed 50 billion monthly tokens raises a question no one's asking: can a €24/month subscription cover those API bills?
Zhipu AI's GLM-4.7 benchmark chart excludes its strongest competitor. The data table tells a different story. But the real signal isn't the missing bar—it's a €30 annual subscription designed to snap into tools Western labs built.
Apple buried RDMA over Thunderbolt in a beta update. Now four Mac Studios can run trillion-parameter AI models at conversational speed. The cost: $50,000. Equivalent NVIDIA hardware: $780,000. No press release. No keynote. Just a checkbox in recovery mode.
Cursor just paid a premium for a code review startup to fix what it calls the new bottleneck in software development. But a July 2025 study using Cursor's own tools found AI made experienced developers 19% slower. The math gets uncomfortable from there.
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