Lasagne for lunch and a couple of glasses of wine for this avo
😎
carnivore maxis absolutely cannot even
Alex Hormozi talks about doing the reps
Tom Bilyeu talks about developing a growth mindset
These guys are awesome but they're well past the beginner stage
What do you do if you've got level 10 skibidi brainrot or you're living too far in the future in your head dreaming about bitcoin at $400m in 2050?
Just like if you were 37 years old and have never lifted a barbell - you start at bodyweight squats, progress to kettlebell goblet squats, empty barbell and soon enough you're stacking your bodyweight on the bar in plates
But what's the entrepreneurial version of this? What do you do as a 37 year old who's never built anything? Let alone made even a buck outside of contemporary employment?
You start with bodyweight squats - write 10 ideas a day - I unashamedly stole this from James Altucher
They don't have to be good, they just shouldn't be gibberish. One of mine today was a GPT agent wrapper that gets official statistics and fits an ARIMA forecast on them
Neurons that fire together wire together, train your mind to generate possible solutions to need experiences
Because thats a fundamental component of the entrepreneuroal function
How the hell did fiatjaf come up with nostr?
how the hell did jack dorsey come up with twitter?
how the hell did satoshi come up with bitcoin?
how the hell did your favourite musician come up with your favourite song?
i dunno
but one way to train yourself to have more ideas is literally to sit and write 10 ideas a day
they can be anything, its a meditative practice just working the mind
if you're really stuck then combine arbitrary objects and concepts and refine into something not jibberish
focus on generation of ideas dont self censor or prematurely decide they're good or bad
one of mine today was literally to write this post
Absolute legend
I don't know what the issu is but i still can't send zaps
Could be WoS? What other options for a Lightning Address are there apart from running my own node?
Anon, you always have the right to ignore the State
Looking for more metal/rock/power metal/deathcore/metalcore/progressive metal concept albums
So far:
Nightfall In Middle Earth - Blind Guardian
Beyond the Red Mirror - Blind Guardian
The Power of the Nightstar - Dragonland
V, the new mythology suite - Symphony X
Pain Remains - Lorna Shore
Honorable mention because I appreciate the musicianship, talent, and groundbreaking innovation but it's just not very often my cup of tea: Pink Floyd
Random Sunday lesson: using GPT for code as someone who is not a software engineer.
My coding experience so far has been; a couple of beginner Python courses, R to query and process microdata and build several forecasting/econometric models, and Python to model a VPP optimisation problem. This has been a journey of self-directed learning, and much kludging™.
But in the last year, the release of GPT-O1 preview (and now GPT-O1) allowed me to stretch my basic understanding to build more complex models as part of my work at Blockspace Energy. I was able to parlay what I knew about coding in R and Python to work with GPT to build a model in C++ (the first version in Python ran way too slowly - GPT suggested C++ would be faster, which it was)
What I learned from that is worth sharing; it was a "prompt engineering" methodology (specific words chosen for engagement algorithm 🤣)
Anyway, through trial and error, I found the best process for me was:
In a .txt file (which I usually save as "GPT_context.txt")
1) write out the overall intention of the model as detailed as you can, including suggested methodology
2) ask GPT to come up with a plan
3) copy the plan as plaintext into your .txt file
4) prompt GPT with the intention + the plan and request to start with the first item on the plan
5) paste in the code into your .txt file
6) prompt GPT with "here's the context we are working on, our plan, and the code we have so far. And here's the next change I want to make" and describe your required change (bug fixes or upgrades)
7) continue that with each step of the plan until your programme works as intended
I usually include a request that GPT outputs the full code and context it suggests to change, otherwise it can skip over details and comment "\\...insert code here..." which is frustrating if you don't catch it and can confuse both yourself and GPT.
Basically I think the main lesson is to manage GPT's context window manually. It does seem like a toddler at this point - incredibly intelligent but loses context and hallucinates easily.
I don't expect GPT-O3 or above to require this level of context window management.
What are some good "AI" query tips or techniques you've discovered?
With 2024 over it’s time for an obligatory “thought-leader” reflective cringepost. I want to give you a peek into what the hell an economist *does* in tech.
I’ve been “in tech” for almost two years now, working with a few kiwi startups doing ridiculously awesome stuff.
The day to day looks mostly like everyone else’s day to day; sit at the PC, argue with GPT (and lose), fight with spreadsheets (and lose). But what’s produced as an economist “in tech” is quite unique.
Tech I’ve been involved with is all about platforms; software platforms, network platforms, market platforms. The idea is always to bring two or more groups together to create some sort of exchange (information, money, memes, all three).
What are platforms?
Platforms are about augmenting/combining (or replacing) an existing institution within the system of exchange. It could be governance, marketplaces, contracts and escrow, or any of the millions of institutions we can identify and even more that we can’t.
The important contrast I want to highlight is that contrast with what might be thought of as general tools. Think of like Excel, R, Stata, MYOB. Very useful technology, but not fundamentally about bringing multiple groups of people together.
How does the economist facilitate value in tech?
Understanding tools is about the user experience and the user’s goals. From a very narrow PoV of economics, it’s about communicating to policymakers how many people you employ to create the tool and then how much GDP the tool spits out. Or maybe it’s about couching the tool within policy goals and narratives. These are all incredibly valuable insights.
But what I want to highlight is that understanding platforms is more about understanding the institution within the system of exchange that your platform augments. Institutions emerge from repeated interactions, so what repeated interactions is your platform facilitating or creating?
Which makes it about understanding the narratives of human decisions/choices within the system of exchange. How do the users make decisions within that system of exchange and then how does your platform facilitate that?
I think it’s uniquely the science of human action, economics, that can offer insights in this sphere.
Now, turn on your Bitcoin node and get back to work
