AI has collapsed the cost of building products, but not the cost of knowing what to build.
- The old loop: spec, scope, build
- The new loop: build, play, design, ship
Prototypes are cheap. Great products still require taste, judgment, and a clear understanding of what users actually need.
a16z's @joshelman on the artifact a product manager actually produces: https://t.co/neVI1kyCYY
Google just got a DISCOM licence for its Vizag data centre hub.
Read that again. Google. Got an electricity distribution licence. In India.
For the first time, a tech giant is not just a customer of the grid. It is a regulated utility. The same legal authority that lets Tata Power sell electricity to a Mumbai apartment now lets Google supply its own data centre.
This is not a story about cheap power. This is a story about who controls infrastructure. Vizag is going to host hyperscale AI workloads — single buildings drawing more electricity than entire small towns. The traditional DISCOM model assumed customers and utilities were separate. AI workloads broke that assumption.
Also note who quietly approved this: Andhra Pradesh. The state betting hardest on data centre investment is also the one rewriting the regulatory book.
The next time someone tells you data centres are 'just servers,' remind them they now come with their own utility licence.
When it comes to making—and communicating—tough calls, great leaders need more than empathy.
@arthurbrooks explains why compassion goes further: it means understanding what people are going through, having a clear plan, and acting with courage.
More from Arthur C. Brooks: https://t.co/EwGW0cuApL
The hardest leadership moments are the ones you’re tempted to avoid. But delaying tough conversations only makes things worse. @arthurbrooks shows why compassion is what allows great leaders to act decisively—facing hard truths head-on while strengthening trust.
More from Arthur C. Brooks: https://t.co/S9j8mxM79e
Reasoning Models Thinking Slow and Fast at Test Time
Another super cool work on improving reasoning efficiency in LLMs.
They show that slow-then-fast reasoning outperforms other strategies.
Here are my notes:
This is a mind-blowing paper.
They reconstructed 3D scenes from reflections in the human eye.
Here's how they did it:
"we train the radiance field on the eye reflections by shooting rays from the camera, and reflecting them off the approximated eye geometry. To remove the iris from showing up in the reconstruction, we perform texture decomposition by simultaneously training a 2D texture map that learns the iris texture."
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Wally Funk, 82, has probably spent more time in airplanes as a pilot than Jeff Bezos and the other men she just went into space with have spent as airplane passengers. She fought for decades to be an astronaut, but was shut out because of her gender. https://t.co/kYHXaveplR