The reason I say that is there's a lot of programmers who are not very good product managers. Software is product management. What should it do? Who should it do it for? How should it do it? How should it look? What are our priorities? What do we start with first? What does version one include? All of those skills are not easily or equally distributed across all programmers.
In the end, the MBO in S90V is probably the best EDC knife Benchmade has ever made and it is a jewel in my collection (the Valet and the Aphid were pretty good too; Benchmade can we get a re-issue of the Aphid with upgraded materials?). The exposed rear tang is an irksome but ultimately minor issue. The size, refinement, steel, and weight make this one of the very best knives on the market right now.
Will mining get automated? And if it does, not just the movement of the materials, but every part of mining. Then what is a mining company? It just owns real estate.
And so we can distribute the voting across a lot of the company for this initial review, which is essential because if you're doing anything cool, by the time you get a couple years into it, that top of funnel is overwhelming. And if you place any in any small group of employees or any one person in the way as a bottle bottleneck on this, they will absolutely bottleneck the whole rest of the organization.
I mean I think like if you look at uh my colleagues work on say alpha fold that was a very specific model for uh protein folding and it was highly successful um and was able to really handle that domain quite well so that all of a sudden you now have this amazing tool and model that can give you answers to questions about proteins and their structure um really effectively um but it's not a general model it's a very specific one and there are other I domains where that kind of approach can work really well. Uh maybe in material science or chip design or things like that that uh will enable you to leverage the capabilities of a very accurate but but niche model uh to do things that are hard today.
And that kind of compiling of information about the materials is something other fields do that we don't do. An analogy that I would think of in software would be something like a 500-page book on how to version an API.
I think concentration of power has basically been bad in every moment of human history um to varying degrees of course but I have a real spirit and I think this is part of the startup spirit of thinking that the world, the economy, society is the best off when power is very widely distributed
In fact, if if we are right that AI is going to be such a big change, startups will be much more important to making sure that the power of this technology gets widely distributed throughout the economy and society and is not just concentrated in a few companies or models.
So coding is solved for the kind of coding that I do. It's not solved for everyone. You know, there's still code bases that are like super deep systems code bases where quad still struggles.
Some people think CI means you reject grammar books. I disagree. I often reference grammar materials and find these explanations useful. However, the focus of my learning is not to “master the rules”. Grammar resources simply help me notice and make sense of patterns in the language.
a more relevant metric in the long term is the cost, not the efficiency, of food production methods at sustainable levels of energetic and material throughput.
and then the power and the cost and then you can double the performance but you cannot double down on the cost and and area. So those are the thing you have to give give way unless you find some new way of material new way of design.
There are things that we naturally take pleasure in—such as friendship, sex, and Italian food—and while we can become sick of anything if continually exposed to it in large doses, we don’t get tired of these things if they are properly distributed in time.
some people think either uh frontier AI gets commoditized and we all enjoy the benefits, but there might be some risk because like it's the market's really competitive and cutthroat, or um things are safer because there's a big gap between the leader and the laggard, but that means that the leaders get fantastically wealthy. No, like you could just have a relatively big gap, but it's a public company ownership and it's widely distributed.
One of my favorite lecture series he has given is The Evidence for Modern Physics where he breaks down the experiments that validate some of the weird laws of physics we have, and what it would take to validate even the weirder ones.
we just assume that there's no upper bound on how long it might take for a message to go over the network. So, you send a message, it might arrive within 100 microseconds, or it might take 10 years.
it's very easy to assume that your clocks are correct and most of the times the clocks are pretty correct but we just can't rely on it because actually they're just not precise enough uh on the whole.
Including things like universal basic provision or something like that where a lot of the increased productivity gets shared out and distributed to society and maybe in the form of services and other things where if you want more than that, you still go and get some incredibly rare skills and things like that and make yourself unique. But there's a basic provision that is provided.
We’ve come back, in a sense, to skeuomorphic interfaces — but this time not with a lacquer resembling a material. Instead, the interface is clear, graphic and behaves like things we know from the real world, or might exist in the world. This is what the new skeuomorphism is. It, too, is physicality.
Opaque, inert and obstructive elements might occupy the same place as full-screen command line interfaces — a powerful niche UI that was a marker in history, passed on by the windowed environment of the multi-tasking, graphical user interface revolution.
We believe technology is a lever on the world – the way to make more with less. Economists measure technological progress as productivity growth: How much more we can produce each year with fewer inputs, fewer raw materials. Productivity growth, powered by technology, is the main driver of economic growth, wage growth, and the creation of new industries and new jobs, as people and capital are continuously freed to do more important, valuable things than in the past.
What we don't want to happen with AGI, we want to happen with synthetic biology. What we don't want to happen online and software with language, we want for it to happen with bio-based materials.
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