Who loves a good sunset? Everyone. Who hates driving 90 minutes to see it, only to find out I sucked? Everyone, again.
Everyone includes me, so I fixed it. Introducing Sky Sync. Check the sunrise, sunset, and night sky. For free. Really. (Disclaimer: There is a companion app for photographers, that is slightly more than free) Enjoy!
https://t.co/YEb2RAuCOJ
“I felt a great disturbance in the Force, as if millions of voices suddenly cried out in terror and were suddenly silenced. I fear something terrible has happened.”
A planet roughly 1,000 light-years from Earth has seemingly vanished before astronomers' eyes, leaving scientists with a remarkable discovery about what caused it to disappear 🪐🔭 https://t.co/8JmSq5k2ce
This. There has always been a time when a rewrite made sense. It wasn't often the first time an engineer called for it, but there was always a time.
If you've got a codebase that wasn't built by AI, the time has come. Legacy code is a dead weight around an incumbent, and an opportunity to be disrupted.
In 10 years as CEO of two startups, I can't count how many times engineers pitched me a complete rewrite of our codebase.
It always reminded me of Steve Blank's Startup Suicide: Rewriting the Code and Joel Spolsky's Things You Should Never Do. Joel compared rewriting software from scratch to demolishing a building instead of renovating it. I always agreed and pushed back hard on rewrites.
But AI has completely changed my mind.
When you can coordinate a swarm of thousands of coding agents, the economics are completely different. Suddenly there's an enormous premium on having an agent-native codebase: super fast CI, minimal dependencies, clean architecture, every decision documented, and everything optimized for agents rather than humans.
For the first time in my career, I'm starting to think a complete rewrite might actually be the right call.
Tonight's #1 sunset in the US: Arches National Park, 95/100. Worth 90m+ Drive · High-Canopy Burner.
Broken high cloud over a clear western horizon, so the low sun can get under the deck and light it from below. Golden hour from 4:30p MT, sunset 5:08p MT. Backglow rated Excellent at 68° ENE: after the sun drops, turn around and frame the Windows or Balanced Rock against the glowing eastern sky.
https://t.co/DBJBBJpqFb
#UTWx #wxtwitter #landscapephotography
Turns out that the Starlink software, built for managing the movement of vast amounts of data through space and to the ground, is also very well suited to training super intelligence
Tonight's #1 sunset in the US: Maui (Lahaina), 96/100. Worth 90m+ Drive · High-Canopy Burner.
Broken high cloud over a clear western horizon, 48% cover: strong burn potential. Sunset 5:47p HT, golden hour from 5:16p HT.
Don't skip the Backglow: the high deck on the eastern horizon (72° ENE) should burn warmly over the West Maui Mountains. On the sunset side, frame Lanai offshore as a silhouette.
https://t.co/FaGZvRJ1ih
#HIWx #wxtwitter #Maui
For landscape photographers, sky conditions and fog play a big role in the decision to hop in the car and go shoot. So does wind. Introducing the new ground-level wind forecast. Find out if you can shoot those mountain wildflowers before you go.
100 locations across the US with a live forecast for sunrise, sunset, and Milky Way - every day. Free.
Check the leaderboard everyday to see if you should take your phone outside at sunset or sunrise! #wxtwitter
https://t.co/3be3LQGBJc
Huge new capability is now live in Sky Sync this morning! Fog detection and mapping. Find out when morning fog will be present so you can capture those ethereal foggy shots everyone loves.
Cloud inversions and Radiant Fog are tracked individually. You can also use the new topographic map to see how intense the fog will be, how thick it will be at a certain elevation, and how high up you need to be in order to be above an inversion. Just click on the map on a ridge or valley, and find out instantly.
Our high-fidelity weather data feeds and sophisticated fog algorithms allow for us to smoothly map the fog without jagged edges and pixelated-looking maps that make it hard to know where the fog starts and ends.
Check out https://t.co/J6LXTBfjV2 for more information. Get full access for one week, no credit card required, or use free forever if it meets your needs!
I’m told at least seven advertisers have dropped @karaswisher@profgalloway@PivotPod@ProfGMarkets On with Kara Swisher and Raging Moderates, for their incessant calls for the execution of Elon Musk — and their joking about the assassination attempt on President Trump.
I don’t believe in censorship, but advertisers need to decide if they support political violence and this kind of rhetoric
It’s extremely dangerous and disgraceful
I don’t know why a tech company would pay Scott and Karen $10m a year each to endorse violence.
Why pay for Prof G’s private jet and $4,000 hotel suites that he brags about constantly?!?
Disagree with Elon and Trump as much as you want — I certainly do — but endorsing political violence is unacceptable.
We do not sponsor or support the “I’ve Had It” podcast. We unequivocally condemn violence in all forms. The comments made by the hosts do not reflect Chewy’s values or what we stand for as a company.
This sounds extreme and I wouldn’t have believed it even a year ago, but we’re starting to see plenty of examples of productivity gains that are an order of magnitude or two above output levels pre-AI.
With the right harness, a deep understanding of your domain of what you want to build, likely a relatively new codebase (with some exceptions), a fluency of how to work with multiple agents at once, and a setup that makes it so you can test and deploy with limited friction, outputs on this level feel realistic in coding.
What’s crazy is this gap doesn’t appear to be diminishing over time. You’d think that we’d see a convergence in the lines because of AI, but it turns out the more depth you had before -and willingness now to take a different approach- gives you crazy leverage. And that is only compounding as the models can take on larger work and harder problems.
Right now this is most pronounced in software engineering for the obvious reasons. But there’s no reason we don’t start to see this in a number of other computer-use-sensitive domains like other scientific fields, AEC, finance, cyber, and more. Going to get quite wild.