A better Innsbrucker Platz is possible!

A better Innsbrucker Platz is possible!

If you’re speeding over and over again, it’s not a mistake. You’re making our streets dangerous. I’ve got a plan to crack down on super-speeders and make New York City safer. Let’s get it done.

Congrats to the toilet on this Edinburgh to London train

Tell me you’ve never lived abroad without telling me you’ve never lived abroad

Researchers trained a humanoid robot to play tennis using only 5 hours of motion capture data The robot can now sustain multi-shot rallies with human players, hitting balls traveling >15 m/s with a ~90% success rate AlphaGo for every sport is coming

The theory here is that D.C. would become the only place in the world where congestion pricing doesn’t work

Anthropic's Revealing Chart on AI's Impact on Jobs Anthropic has unveiled a pivotal chart that underscores the chasm between AI's capabilities and its real-world application in the workforce. Derived from analyzing 2 million actual conversations with Claude, this radar chart, titled "Theoretical Capability and Observed Usage by Occupational Category," paints a stark picture of untapped automation potential across various job sectors. At its core, the chart is a spider web diagram plotting occupational categories around a circular axis, with values ranging from 0 to 1.0 representing the share of job tasks. The expansive blue area illustrates the theoretical coverage tasks that large language models (LLMs) like Claude could perform right now based on their inherent abilities. In contrast, the much smaller red area shows observed usage, drawn from real user interactions. The visual disparity is immediate and profound: blue spikes outward significantly in fields like computer and math (reaching about 0.75), business and finance, and office administration, while red hugs close to the center, often below 0.2 across most categories. This gap isn't just academic; it's a "career runway," as highlighted in discussions around the chart. For programmers, 75% of tasks are theoretically automatable, yet actual usage lags far behind. Similar vulnerabilities appear in customer service, data entry, and financial analysis, roles traditionally seen as white-collar strongholds. Meanwhile, hands-on fields like construction, agriculture, and protective services show lower theoretical exposure, with blue areas dipping to around 0.1-0.3, suggesting AI's current limitations in physical or unpredictable environments. Broader data amplifies the chart's message. As of early 2026, 49% of U.S. jobs expose at least 25% of tasks to AI, up from 36% a year prior. Yet, mass layoffs haven't materialized; unemployment in AI-vulnerable roles remains steady. Instead, subtler shifts are underway: a 14% drop in hiring for 22-25-year-olds in exposed positions indicates companies are prioritizing experienced workers, shortening entry-level pathways for recent graduates. The implications are clear: while AI's red footprint grows incrementally each month, the blue expanse signals accelerating change. College-educated, higher-earning professionals, once insulated are now most at risk, flipping the script on traditional labor disruptions. Anthropic's chart isn't a doomsday prophecy but a wake-up call, urging workers and businesses to bridge the gap through adaptation, upskilling, and ethical integration of AI tools. Please read the 5000 Days Series at ReadMultiplex.com for answers on how you can thrive in the Interregnum.

Enjoying a quick visit to Colorado. I didn’t know the Rocky Mountains even had oysters. 😋

The Adams Administration stopped the Streets Master Plan. We’re bringing it back.   We’re kicking off four bold NYC street projects: faster buses on the Bronx’s busiest route, a continuous protected bike route all the way from Sunset Park to DUMBO, protected bike lanes around 10 schools in Central Brooklyn, and a connected bike network for Midwood, Flatbush, and East Flatbush. Streets that work for everyone—not just cars.

This could have been me

it’s actually incredible how locked in Hochul has been lately

Hahaha, this is hilarious. Renders are always so shiny and beautiful... but what if we could use AI to fast-forward past the shiny render and see what it would look like in reality? That's basically the premise of this project. Render // "Reality"

Building more homes everywhere means building more homes everywhere. sfchronicle.com/sf/article/s…

A new office building will soon block my view of the Fernsehturm. Where are the NIMBYs when I need them?!

What hero will revitalize the Sutro Baths and turn them into this?

This post is actually 100% true. Once unfettered YIMBYism is unleashed, CA will legit experience at least 2-3 decades of solid GDP and population growth similar to how Singapore and South Korea boomed in the latter half of the 20th century.

C. Anything else breeds weakness.