To be clear, bitemark evidence is junk science. There has never been any scientific research to support the idea that bites on human skin can be matched to the teeth of one person, to the exclusion of everyone else.
Take Eroom’s Law: the number of new drugs approved per dollar of R&D has fallen for decades, even as our scientific tools have grown vastly more powerful, the exact opposite of what the existence of more raw capability would predict.
And then I also think um you know right now for matching it's like everything's done at literally the last minute. It's like someone dies, an organ comes available and like you're just kind of calling around trying to find like what patient is available to get this organ and you don't have that much time to make the optimal match, right?
By contrast, AI is increasingly matching the general cognitive profile of humans, which means it will also be good at the new jobs that would ordinarily be created in response to the old ones being automated.
even if the tech is diffusing fast uh this time around for true economic growth to appear it has to sort of diffuse to a point where the work the work artifact and the workflow has to change and so that's kind of one place where I think uh the change management required for a corporation to truly change I think is something we shouldn't discount
I've worked a lot of companies right but I'm wrong all the time and I think consumer behavior can be very fickle and especially when you work at a company you become a power user naturally. So sometimes you you may forget like what the actual user experience is for a brand new user.
I I think most companies play too much with pricing all the time. It's like it just like causes all these problems with data and like it makes it hard to predict and then suddenly you you do you AB test discounts and then you cheapen the product because now people are just going to wait for the next discount
I foresee a much more radical approach to generative UI to emerge shortly — maybe in 5 years or so. In this second-generation generative UI, the user interface is generated afresh every time the user accesses the app. Most important, this means that different users will get drastically different designs.
You want to buy a company at a price that if you're wrong about what you think it's worth and it turns out to be worth 30% less, you paid a deep enough discount to your estimate that you're still okay. A big part of investing is not losing money.
The cost to discover and develop a drug today is orders of magnitude higher than in the 1950s. Despite this, the probability that a drug entering clinical trials will eventually reach the market has hardly improved in the intervening years.
Whether one does find a good spouse or not depends more on one's orientation towards actually building relationships, and whether they can identify non-trivial traits in a partner that would contribute to that.
Here we show that scaling up language models greatly improves task-agnostic, few-shot performance, sometimes even reaching competitiveness with prior state-of-the-art fine-tuning approaches.
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