on the one hand, it feels a lot like the company is being stripped for parts. on the other, openai was probably doing it anyway, so now at least they get paid for it
@kellogh It could have easily survived as a Wikimedia-like organization, but leadership chose the path of enshitification that will likely destroy what community trust they had left. The new leadership is too worried about the value of data ownership and not about the real value of a community of people who work on problems that can change the world.
@ChrisHunt yeah, it smells like leadership that’s unwilling to find another path. which makes sense, ever since the founders sold it, it’s been run by the MBA mindset
Great paper! Also a great reminder that (artificial) neural networks are still quite useful for studying real brains, because they can help model and study questions like, “how did this phenomenon come to be?” https://neuromatch.social/@dlevenstein/112395909323594371
with our kids, we have this thing where you can do anything as long as you’re prepared
play in the rain? sure, just wear rain jacket/pants/boots
there’s poison ivy in the woods? that’s fine, you know how to identify it, and we have PI soap to wash it off if you miss some
the philosophy is to redirect them into the right way, rather than banning the wrong way. it gives us a lot of freedom in how we travel and experience new things
engineering teams are kind of similar. i like processes that nudge you into the right way to do things, rather than shutting down specific behaviors
e.g. code formatters in CI, type systems, etc.
there’s also a big tie in to how you run incident reviews. focusing on what could have been done better (and making a plan to do it that way next time) vs shaming people for doing the wrong thing
most people don’t know this but there’s a type of antelope in Wyoming that can jump higher than a house! it sounds crazy, but it’s mostly because of it’s powerful hind quarters but also because houses don’t jump