career update: joined mudstack as an ai engineer intern!

he's even started talking like claude atp 😭

"how much can you hype out your user?" claude: "yes"

Never leaving this app

ok it feels like they nuked sonnet and opus super hard. the models are behaving super dumb today. wouldn't be surprised if that was true.

Holy shit it can answer the strawberry question

whoa whoa whoa whoa!

Introducing Claude Fable 5: a Mythos-class model that we’ve made safe for general use. Its capabilities exceed those of any model we’ve ever made generally available.

calling everything an operating system is some 2018 shit

it's unclear if tech people yet realize that perspectives on ai usage differ dramatically depending on if you are token rich or token poor. the idea of looping comes from a place of incredible privilege. recommending that someone who works at an ai startup with unlimited token budget try looping makes complete sense. however, that same idea told to someone with only a $2k/mo token budget would seem completely implausible. what happens when millions of people start evaluating jobs based on what their token allowance will be? what happens to the longtail of administrative paper pushers that don't adapt? what happens to low throughput artists, engineers, or even lawyers and actuaries that can't be trusted to allocate spend? every form of individual knowledge worker is going to be evaluated from the perspective of "do i trust this person to allocate tokens effectively?" there are going to be massive investments into new hiring processes. organizations will need to rearchitect their structures to find orchestrators like Peter my near term recommendation is to do everything in your power to work somewhere that trusts you to spend tokens. you're ngmi if you only have $2k/mo to play with.

New York City, I’m in you

all this ny vs sf discourse is so boring. just go to both places and have fun.

btw, this is charles darwin's daily work schedule 👇🏻 embarrassingly light by modern productivity standards darwinproject.ac.uk/commenta…

The sum-product conjecture in mathematics has been disproven! This is just weeks after AI disproved the unit distance conjecture, and although this one was disproved by humans, it turns out they used a lot of the mathematical ideas from the previous AI disprove-ment. We live in such fun times!

NYC tech week people - how are you doing!?

okay this is coming out to be really good!

isn't btrfs essentially git, but for your entire filesystem?

i have too much time on my hand, and i was wondering: does the verb "can" mean probability, or surety? when someone says, "this can heavily impact you", do they mean, this has a non-zero, and maybe even a highly-probable chance to impact you, or that, it for sure will impact you? a few more examples: "you can leave" - shows permission "water can freeze" - shows ability "it can happen" - shows possibility the last one is interesting, because it's more like saying, "for all i know, it happens". it is more of a testament to the speaker's uncertainty, rather than the world's structure. i guess the more i think about this, i realize my question could be incorrect. "can" could be more about the logical status of a proposition (possible vs impossible). probability is a quantification layered on top of possibility. you can't have probability without possibility (which "can" denotes), but possibility doesn't give you probability (it doesn't say where on the range of probability it sits: 0 < P <= 1).