@cyntro_py Currently building in the AI-medical space pre revenue - at balajis network school , near Singapore, would this be something the fund is interested in ?
space travel used to belong only to governments.
• nasa
• roscosmos
• military programs
• national budgets
then private builders entered.
how to build your own spaceship by piers bizony is about the shift from state-controlled spaceflight to personal space travel.
the important idea:
space is not magic.
it is engineering under brutal constraints.
• propulsion
• life support
• heat shielding
• materials
• guidance
• fuel
• risk
• cost
every kilogram matters.
every failure mode can kill.
every system depends on another system.
building a spaceship is not one invention.
it is thousands of solved problems working together.
the dream of personal space travel begins when space stops being mythology
and becomes a manufacturing problem.
gonna play the heck out of GTA 6 simply because of its status as a cultural artefact: the final big game built before LLMs
no-one will ever invest this much in a game again, no software will ever encode this quantity of hands-on human labour again. the last of the great pyramids
Introducing Remy: remember everything
Remy helps your loved ones remember where things are, stay on track, and gives you peace of mind.
Pre-order now: https://t.co/JQM4AiU2Sq
gstack is available now at https://t.co/VPvWDzV5c0
Open source, MIT license, let me know if it works for you. It's just one paste to install it on your local Claude Code, and it's a 2nd one to install it in your repo for your teammates.
I READ THIS AND IT CHANGED HOW I SEE POLYMARKET
I just finished reading this breakdown on how hedge funds actually use prediction market data - and it genuinely shifted how I look at Polymarket
I used to approach it pretty simply:
> where is the probability wrong
> where is the narrative early
> where can I front-run sentiment
but this article frames it completely differently
> Funds aren’t winning because they “predict better”
👉 They:
> size positions based on distributions, not point estimates
> run Monte Carlo to stress test drawdowns
> analyze maker vs taker behavior
> exploit structural bias instead of chasing news
the part that really stood out was the data showing that liquidity takers systematically underperform across most price levels
> meaning the edge often isn’t in forecasting the outcome - it’s in how you structure your execution
❗️ and now there’s a public dataset of 400M+ trades
that turns Polymarket from a trading venue into a research lab
> highly recommend giving this a full read
and it even includes a step-by-step guide on how to set up the full dataset yourself
> bookmark it - this is the kind of material you’ll want to revisit
and follow me if you’re into going deeper on Polymarket strategy, data, and structure
exploring shapes of thoughts: extracted my obsidian notes' embeddings and arranges them as a 3d network using 3 different topologies:
- centralized: one core idea connecting all
- decentralized: notes cluster into themed hubs
- distributed: edges labeled by llm describing how ideas connect
@vwxyzjn@VincentMoens U guys taking in any systems thinker, with a diverse and unconventional background from Latam? If so , would def consider joining 🤓
tech bro 1.0- nerds in a garage who want to change the world, burning man, psychedelics, Silicon Valley, super technical
tech bro 2.0- 996, blue chip pedigree from FAANG or university, gym bro, obsessed with tracking everything, AI vibecoding marketing slopmaster
tech bro 3.0- philosopher, well-read, highly sociable, ultimate craftsman, unattainably put together, high hospitality, high taste
we are obviously still in number 2, but I feel like the liberal arts renaissance man type will rise to prominence in the tech world