@heyshrutimishra: Any AI workflow a company wrote down three months ago is probably already out of date. That isn't my hot take. It's Aar…

Any AI workflow a company wrote down three months ago is probably already out of date. That isn’t my hot take. It’s Aaron Levie, the CEO of Box, a company that sells software to some of the biggest enterprises out there.

His post has been read over 3 million times in about a day and a half, and I think that’s because it names a feeling a lot of people have but can’t quite put into words.

Here’s his core point. Normally when a new technology shows up, it improves fast for a while and then the curve flattens. That flattening is what lets everyone else catch up. Companies standardize how they use it, the playbook spreads, and the advantage of being early slowly disappears.

Levie says AI is doing the opposite. The curve isn’t flattening. In his words, it’s “basically going vertical right now.” So the gap between people working at the frontier and everyone else isn’t closing. It’s getting wider.

The part that hit me hardest is the timeline. If a company codified its AI processes 3 to 6 months ago, he says it’s likely already behind again. And the companies that kicked into gear a year ago and thought they were done are even further back.

He also says he has never seen a technology improve at this rate in his life and career. Coming from someone who has spent about two decades building enterprise software, that line carries real weight.

My honest gut reaction: this is the most useful way I’ve seen anyone frame AI and jobs. The biggest risk for most people isn’t one dramatic day where AI replaces them. It’s the quiet drift of using the same tools in the same way while the frontier moves every few months.

Anyone who uses these tools daily has felt some version of this. Setups that felt cutting edge in the summer feel clunky now, and things that flat out failed a couple of months ago suddenly work.

His advice is simple. Keep re-testing the stuff that didn’t work before, and upgrade your expectations at the same speed the tech upgrades itself. He thinks AI native companies have a strong edge right now, and the real question is whether the bigger companies can keep up.

Our brains weren’t built for a tool that gets meaningfully better every quarter. Learning AI once is no longer the skill. Relearning it every few months is.

Love this. A simple “last checked” date makes stale workflows obvious, and rerunning on the newest model is the fastest way to see what has already changed.

Building is the best teacher here. You notice what changed in a model the week it ships, not three months later when the workflow doc finally gets updated.

True, and that’s the quiet cost. A workflow that still runs fine can hide steps the newer tools already handle, so it’s worth a fresh look every few months.

Same here. The wild part of Levie’s post is that the gap isn’t closing, it’s growing. Rebuilding workflows every quarter is just the new normal now.

Elon Musk just told over 3 million people that Larry Page “might be right” about humans exploring the galaxy with self-replicating robot probes by 2100. And the story behind that prediction starts in a SpaceX cafeteria.

Mustafa Suleyman, who co-founded DeepMind and now leads AI at Microsoft, shared it in a recent interview. In 2015 he was at SpaceX for the first meeting of DeepMind’s Ethics and Safety Board.

Quick backstory. When Google bought DeepMind in 2014, the founders made one condition part of the deal: an ethics and safety board with independent members. Google’s side was Larry Page, Sergey Brin and David Drummond. DeepMind’s side was Suleyman, Demis Hassabis and Shane Legg. Together they picked the independents, and one of them was Elon.

Then at lunch, Suleyman sat next to Larry. And Larry told him that by the end of the century, he expected to be exploring the galaxies at the head of a von Neumann probe.

The simple version of that term: a von Neumann probe is a robot spacecraft that travels between stars, gathers energy and materials along the way, and builds copies of itself. The idea traces back to mathematician John von Neumann’s work on self-replicating machines. One probe becomes two, two become four, and a civilization could spread across a galaxy without sending a single crewed ship.

Honestly, my first reaction was that this sounds like pure sci-fi. Then I looked at what is actually being built right now. Rockets that land themselves and fly again. Humanoid robots learning new tasks from video. AI models that write code, run experiments and speed up their own research. Almost every piece a probe like that would need is now a real field with serious money behind it.

Elon’s take is that our civilization would be winning wondrously if we get there by 2100, and he added that Larry has correctly predicted many things. Coming from the person building Starship, that is not a throwaway line.

The part I keep thinking about is the timeline. 2100 is 74 years away. 74 years ago, commercial computers had only just gone on sale, and nothing made by humans had ever reached orbit.

So maybe the wildest part of this story is not the prediction. It is how ordinary it might sound by the time it comes true.