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Microsoft’s AI Diagnoses 4x Better Than Human Doctors

Microsoft’s new medical AI just beat real doctors at their own game. And not by a little by a factor of four.

• In a new study, Microsoft’s MAI-DxO correctly diagnosed 85% of complex cases from NEJM.

• The test involved 300 “stump-the-doctor” cases and 21 physicians from the U.S. and U.K. The AI worked step-by-step asking questions, ordering tests, and adjusting like a real clinician.

• It even did the job 20% cheaper than the doctors, according to Microsoft.

• MAI-DxO used a panel of top AI models (GPT, Claude, Gemini, and more) plus its own “Orchestrator” to simulate medical consultation.

• While not yet approved for real-world use, experts say this could cut medical errors and reshape how we train doctors.

This isn’t about replacing doctors, it’s about augmenting them. Microsoft’s results are both thrilling and unsettling: if bots can outperform trained physicians in complex diagnostics, how soon before they’re sitting in the exam room with us? The future of medicine might not be man vs. machine, it might be man with machine, or fall behind.

Perplexity Just Dropped a $200/Month AI Tier

Perplexity just entered the premium AI race. Its new $200 a month plan, Perplexity Max, promises “limitless productivity” and targets power users.

• Perplexity Max includes unlimited queries, early feature access, and priority support.

• It builds on Perplexity Pro ($20/month) by unlocking exclusive tools from Research and Labs. The tier is aimed at writers, strategists, and researchers who live in AI workflows.

• Max is already available on web and iOS with Android and desktop on the way.

• An enterprise version is also in the works, according to Perplexity’s blog.

• The launch follows similar $200/month plans from OpenAI and Anthropic.

• CEO Aravind Srinivas says Perplexity now handles 780M queries monthly growing 20% month over month.

We’re watching AI go from “interesting” to infrastructure. Perplexity isn’t just selling a chatbot it’s selling a high-speed lane for people who rely on AI daily. The bigger story? Premium tiers signal a future where serious productivity means paying for access and the line between tool and teammate keeps blurring.

Humans vs Machines: Amazon Hits a Tipping Point

Amazon just hit a robotics milestone 13 years in the making. Its millionth warehouse robot has been deployed right as it rolls out a new AI model to supercharge the fleet.

• Amazon now operates 1 million robots in its warehouses worldwide.

• The millionth unit was delivered to a fulfillment center in Japan last week.

• According to the WSJ, robots may soon match human workers 1:1 across Amazon’s logistics network. 75% of Amazon’s global deliveries are already robot-assisted.

• The company also unveiled DeepFleet, a generative AI model that boosts robot speed by 10%.

• DeepFleet was trained on Amazon’s internal warehouse data using AWS’s SageMaker.

• Amazon’s newest robot, Vulcan, uses dual arms and can “feel” items it handles.

Amazon’s push toward robotic parity isn’t just about speed, it’s about scale. With AI models like DeepFleet managing millions of decisions in real-time, the logistics game is becoming less about manpower and more about compute power. The real question now: how long before the machines don’t just assist humans but replace them?

Microsoft’s AI Ambition Has a Human Price

Microsoft just announced it’s cutting up to 9,000 jobs. That’s its fourth round of layoffs this year, this time, tied directly to its AI ambitions.

• The cuts affect roughly 4% of Microsoft’s 228,000 employees globally. Multiple divisions are hit, but reports suggest Xbox and gaming studios are taking a major blow.

• Projects like the “Perfect Dark” reboot and “Everwild” are reportedly scrapped.

• Entire studios including The Initiative and parts of ZeniMax are shutting down. Meanwhile, Microsoft is investing $80 billion in AI data centers.

• The company is positioning AI as its long-term growth engine, even as it downsizes now.

• Executives say these changes are about “best positioning the company” for a changing market.

Microsoft’s pivot shows how quickly AI is reshaping tech’s power structure and workforce. These aren’t budget cuts; they’re reallocations. If AI is the new frontier, companies will keep betting big, sometimes at the expense of the present. The open question: what happens to the industries (and people) left behind?

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