the value of standard social science approaches, which attempt to discover long term regularities, is likely to depreciate in relative terms until the system settles down again.
No one was happy. Because no one knows what they want until they receive it. You don't know what a program should do until you play with it. So in the agentic age, you should resist the temptation to be overly specific upfront. Be as vague as you can to manifest something, then interact with the something. The way you arrive at good software is you write a little bit of software, and then you try to use it. It is in the process of using software that you discover what you really want.
People pleasing is based on insecure attachment. We become people pleasers when we discover that others only value us when we're cooperative to the point of being submissive and deferential.
I think one of the things that makes science the company very special is that it has both of those cultures and is able to integrate them and we're able to simultaneously do some really cool research that I think is really at the edge of the Overton window while simultaneously running clinical trials in six countries now with an approved medical device in Europe and clinical trial results in the New England Journal of Medicine.
further investment in regional rail in New England - by which I mean RegionalBahn-style service to small towns like Westerly and Manchester, not core commuter rail service in Boston to be turned into an S-Bahn - is a waste of money in the current situation.
So, we're going to see people get into those where they're like, "Well, I vibe code the tip of the iceberg. I throw away the rest of the iceberg and now I'm in trouble because now I don't know what to do. Now I get to these downstream problems that I didn't even know existed." So, we're going to see on the on the side of the the the vibe coding replacers, we're going to see that kind of a naivity play out.
Um, there's just too many interesting ways of combining things. There's too many sort of deep ideas waiting to be uh, discovered and when it you know, not only we, but but nobody ever is going to to discover most of them. So, choices about how to make how to do the exploration actually matter quite a bit.
Um I think with within a decade, a lot of things that mathematicians currently do um we we spend a lot of the bulk of our time doing and a lot of stuff we put in our papers today can be done by AI. Um but we will find that that actually wasn't the most important part of what we do.
Every episode he goes to a small town in England and he does a comedy set in a local venue about the history of the town. And so he does very deep research... I love that sort of like hyperlocal, like comedy, that sort of British culture thing.
It's our choice whether we should say oh they are our offspring and we should be proud of them and we should celebrate their achievements or we should we could say oh no they're not us and we should be horrified.
The dream is you just feed it all this data, and this is here is a new patent that we didn't see before, but it actually, even the current state of the art even struggles to discover old laws of physics from the data.
Yet common sense insists the best way to discover useful ideas is to search for useful ideas — not to search for whatever fascinates you and pray it turns out to be useful.
As I set out last time, the usual story — that this was caused by deforestation, making firewood so scarce that people resorted to burning an inferior but cheaper fuel — simply does not stack up.
Far from being the laboratory that brought coal into the home, then, London was actually a laggard — all the more so given it had been buying coal from Newcastle for centuries.
England’s deforestation — along with the draining of its peat-filled fens and marshes, and the clearing of its gorse-growing heaths — was instead itself caused by the arrival of cheap coal.
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