标签：#health

Here are two scenes. They look unrelated. They're not. Scene 1 Two people at a café, talking about a restaurant they want to try. A stranger walking past stops: "That place closed six months ago. The one on the corner is better." A brief nod, and they walk on. The two people exchange a glance, taken aback. Why did that person stop? What did they want? A few steps away, the stranger is also confused. They had useful information. They shared it. Why did these people react so strangely? Scene 2 A colleague is visibly stressed, describing a difficult situation at work. One friend pulls their chair closer, puts a hand on their arm: "That sounds really hard." Another opens their laptop: "I found something that might help — HR has a process for exactly this, I'll send you the link." The colleague leans into the first. Glances uncertainly at the second. The second person doesn't understand why sitting close and saying "that sounds hard" counts as helping. You haven't solved anything. The first doesn't understand why anyone would respond to distress with links. Both scenes end the same way: people on both sides convinced they did the right thing, confused by the other's reaction. The mismatch is mutual and invisible from the inside. Two survival instincts, two empathy systems For many autistic people, information is a survival mechanism. Uncertainty is threat, missing information is a vulnerability, and the drive to correct and share runs below conscious awareness. Empathy, expressed through that system , looks like giving someone what keeps you safe: accurate information, solutions, resources. The social preamble before sharing — announcing yourself, softening the approach — doesn't arise as a concept. Why would useful information require an introduction? For many neurotypical people, social safety is a survival mechanism. Group cohesion and reading others accurately are what keep people safe. Empathy, expressed through that system , looks like presence: mirroring distress,

There are strategies to improve healthcare, but US isn't trying them.

For a long time, I thought productivity was about effort. Work harder. Focus more. Stay disciplined. Manage time better. Most productivity advice is built around some version of this idea. Then I noticed something strange. Some days I could spend ten hours at a desk and accomplish almost nothing. Other days I could spend three hours working and make more progress than I had all week. The difference wasn't effort. The difference was context. The Most Expensive Thing Is Not Time Ask people what their most limited resource is and most will answer: Time. But for knowledge workers, engineers, researchers, writers, and designers, I think the scarcer resource is often something else. Mental state. The ability to hold a problem in your head. The ability to remember why a decision was made. The ability to see connections between ideas. The ability to continue a train of thought without interruption. That's the state where meaningful work happens. And it's surprisingly fragile. Every Context Switch Has a Cost Imagine you're debugging a difficult issue. You've already: read the logs inspected the code traced the requests formed a hypothesis You're finally starting to see the shape of the problem. Then: a Slack notification arrives someone schedules a meeting an email requires attention a different task becomes urgent The interruption itself might only take two minutes. The real cost is what disappears. The mental model. The momentum. The partially constructed map inside your head. The next time you return to the task, you don't continue where you left off. You rebuild. Software Often Creates The Problem It Tries To Solve One thing that surprised me after building products for years is how much software exists primarily because other software creates friction. A note-taking application exists because memory is limited. A task manager exists because priorities change. A research assistant exists because information is fragmented. Many tools are not solving fundamental problems.

CEO Ariel Katz argues that while AI can replicate workflow SaaS, it can't copy H1’s unique doctor data.

The interim Phase I trial data was only from 35 people, but results look good so far.

It’s slimmer, lighter, and more durable. But the real upgrade is Oura’s push into AI-powered health insights and proactive monitoring.

The Centers for Research in Emerging Infectious Diseases were launched during the Covid-19 pandemic. The group lost its funding under Trump in part due to conspiracy theories.

The Series B round was led by Battery Ventures.

In Las Vegas, the blazing sun beats down on a makeshift Olympic-length pool. Cody Miller stands on the starting block of lane one. His arms are raised in victory. MC Hammer's "U Can't Touch This" thumps over the loudspeakers as he rips off his swimming cap, throwing it to the ground. Miller lets out a […]

Trump official asked CDC staff to volunteer to screen travelers at airports.

Today is the final day to apply or nominate a startup for Startup Battlefield 200. Once the clock strikes 11:59 p.m. PT, the window closes on your chance to compete for $100,000 in equity-free funding, gain global visibility, connect directly with investors, and launch on the TechCrunch Disrupt stage.

There are only 3 days left to save up to $410 on your ticket to TechCrunch Disrupt 2026. Early Bird pricing ends May 29 at 11:59 p.m. PT, and once the deadline passes, ticket prices increase. If you plan to attend one of the most influential gatherings in tech this year, now is the time to lock in your pass before rates go up again.

This Sunday, a group of 42 athletes will gather in Las Vegas to compete in a somewhat unusual sporting competition. Participants in the inaugural Enhanced Games are being encouraged to take performance-enhancing drugs. The goal is to “push the boundaries of human performance.” The games’ organizers have said that competitors will only be taking substances that…