normalize 1 day a week AI detox feel the slow pace enjoy the mental struggle of a hand written if statement lose hours thinking at the best data structure waste 15 minutes naming a variable take a walk while thinking how to optimize a function keep your logical brain working

Low-agency: “Can I do this?” High-agency: “I’m doing this unless someone stops me.” The high-agency person has realized that most permissions are granted retroactively. It’s easier to get forgiveness than permission because once something is already done, the default switches from “no” to “well, I guess it’s fine.”

ETH rn feels like she wants to fuck but she doesn't know to whom give it away

if we are tokenizing pre IPO and the stock market, what's the point of having the stock market at all? just run it over crypto, unify everything and IPOs are just a regulated bonding curve

you see what they did bought openclaw to control competition and sunset it longterm fuck self hosted hobbists own the apps, own the infra

at this point i think the white house intern is an ex CT sol memecoin shiller

underrated: using @fiberplane to dissect big changes into smaller chunks, embrace the exponentials, come back and check the work

All you had to do was long $RAVE before Coachella and short it on the closing this was the entire moat MMs where selling to you tokenized raves

Crypto once again is in the LinkedIn era of AI You can get SOTA uncensored models directly from huggingface by just searching for "Heretic" You don't need TAO subnets to fine tune for modern obliteration People out there are fine tuning uncensored sota OSS models with consumer GPUs The information gap is so unreal here

told my gf she can't have sex tonight cus i have opus 4.7 to try

guess it's time to create a /no-npm-install skill The cost of building from scratch went to 0 anyway and btw, axios has always been shit from day 1

this is true but also wrong at the same time in the context of AI trading you should start with a human thesis as the bare minimum and let the agent reiterate live, kinda like the an infinitely running montecarlo simulation. also LLMs are lazy as fuck and they will not come up with novel ideas. You still need a proper human brain preparing the thesis for them You should also provide the best quality data possible, and at least a python interpreter to reason over the data balancing speed thinking The output should only be SIGNAL (e.g. buy/sell): don't let agent handle execution and risk management, he will most likely lie to you when it starts losing Keep a "lessons journal" and recursively refeed it on the next loop, see your agent improve and re-adapt to new market conditions TLDR: The major perk of trading with agents is immediate readaptation to new market conditions, something that is hard to achieve with hardcoded algorithms, but you still have to put the work and basis thesis on the human side

you can gamble Polymarket 5m BTC UP/DOWN from their barely working app or you can use fast and accurate live data directly from your terminal