We are already in the singularity. We’ve always been. It just gets faster at each step.
1,017 karma · joined February 8, 2019
We are already in the singularity. We’ve always been. It just gets faster at each step.
The next paradigm will be similar. It might seem meaningless to us. For example, most of our identity is tied to our jobs in our current society. This will have to change. What does that look like? Do we create content and share our art? Do followers and attention become the new currency?
We think about starships and humans mining Mars, and it'll probably be nothing like that. It might just be humanoids or AI drones that actually end up colonizing the solar system, with the humans never really leaving earth except as mind uploads...
But at the end of the day, things are changing. Things are accelerating. And our mental models of what works or doesn't work will almost certainly break. I don't fear the future, nor do I project any confidence on what that's going to look like, but I know I want to be part of it.
AI may be a tool and add 50 IQ points to a 100 IQ person today but what happens when its adding 10000 IQ points. The 100 base doesn't quite matter as much does it? What does that world look like?
No, it's not just next word prediction. No you can't just wave your hand that it's probabilistic, so insert bad analogy to compiler or calculator and go about your day. And no, you can't just look at its limitations today, make a conclusion, and go back under your rock.
Here is something I would like people to chew on. Perhaps the smartest researchers in the world across multiple labs know more about this than we do? Perhaps they are aware of issues like the data wall and diminishing marginal returns. And perhaps they are being honest when they tell you there is no wall?
In general most developers are going to find themselves fighting incentives which will color their opinion. AI isn't there yet but if you are going to abase your whole world view on a point on a graph and not on the trajectory you are in for a bad time.
I think there is alpha just have to be very careful how you let the models com up with solutions and collaborate.
We will have better and cheaper intelligence in the future than we have now. This is not Uber. Inference is profitable for these companies. Looking at API pricing and assuming that reflects the cost basis is dumb.
It costs less for OpenAI to serve GPT-5.5 than it did to serve GPT-4. An H100 is more valuable today than it was five years ago because it can serve more intelligence per token.
Jevons paradox and short-term crunches may cause some swings, but the value of a token keeps increasing while the average token price decreases.
Chinese models are already a fraction of the cost, and we will have a mythos/fable-level open-source model by the end of the year. There is no “gotcha” where every AI company rugs you in unison.
Stop trying to figure out how this screws you. Start figuring out what cool shit you can build with it.
My point is you were not able to demonstrate any correlation with your suggested methods with startup success. A company could do the exact opposite of what you recommend and be successful. Or follow it to a tee and fail which is what all of them did (happy to hear about any counter examples here from the original book). So what exactly is the point if you can't even move the needle a little bit?
Milton Friedman was once visiting China when he was shocked to see that, instead of modern tractors, thousands of workers were toiling away building a canal with shovels. He asked his host, a government bureaucrat, why more machines weren’t being used. The bureaucrat replied, “You don’t understand. This is a jobs program.” To which Milton responded, “Oh, I thought you were trying to build a canal. If it’s jobs you want, you should give these workers spoons, not shovels!”
I talk more about the gran future here
https://www.hackyexperiments.com/blog/machines-of-loving-emb...
Wrote about this and the impact of to jobs here: https://x.com/deepwhitman/status/2058324179506831372