NikAlgo

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there’s one thing crypto trading taught me that I’ll probably carry forever
the ability to step outside of the hype and ask what is actually real
I remember in 2021 people were refusing nearly a million dollars for their BAYC NFTs
and they were proud of it
some even bought more because they genuinely thought the financial world was changing and they would become part of some new elite
you can buy one for around 15k now...
anyway, when everyone around you believes the same thing, the whole story starts feeling real
and once you accept the story, almost any decision inside it can make sense
that
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I like cross checking MVPs with different models because i don’t really trust one model reviewing its own work
had Opus 5 review something GPT-5.6 Sol built and it said: "this is better than most production trading infrastructure I've reviewed"
sounds great obviously, but then I started thinking about what that sentence actually means
it’s not like Opus has access to other users code and remembers all the systems people have shown it
my best guess that "I’ve reviewed" is just the model speaking naturally about patterns it learned during training
anyone got an actual answer for why it happens?
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that whole Horse token drama really shows how easy it is to exchange reputation for money in the heat of the moment
someone gives you X amount of your own coin
you say you won’t dump
then, you start discovering things about your character
and no matter what you do, it cannot please everyone
if I ever end up in a similar situation I’m not even going to pretend... I’ll just post “if you buy you die”
then dump on yall mfs once (or if) it gets into serious territory and fly my wife somewhere nice the next day
luckily I don’t have a large enough audience to be exposed to these moral tests
TOKEN-4.18%
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running local models is making me realize how much cloud AI spoiled us
hardware is annoying
it's fun to work with, but sometimes it's really not fun
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repeat after me
capability isn't scarce, distribution is
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everyone wanted AI to eliminate work and now all of us spend our free time giving AI more work
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current state of agentic engineering is mindblowing
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the funniest problem with crypto is how hard it is to even lose money here these days
you need to be online enough to understand the culture
technical enough to use wallets, exchanges, bridges and whatever new thing people are using this cycle
comfortable enough to send meaningful amounts of money between wallets
then you spend a few years learning how everything works... and eventually lose money anyway
the problem is once most of these people get burned, you can’t just replace them overnight
you need another generation of tech savvy people to grow up, get jobs, save some money and become int
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started this account posting about crypto trading
barely trade crypto anymore
these days I mostly post about whatever I'm currently obsessed with
markets, AI, products, psychology...
probably something completely different next year
much more fun this way
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we're currently in a golden era of AI
don't take it for granted
make sure to create value
most importantly... have fun
ERA-4.84%
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who’s still actively trading?
if no, what are you doing now?
if yes, describe the current market in 3 words
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there's absolutely no reason why you should be preserving your codex quota these days
it is being refreshed 2-3 times a week, so make sure to keep yours under 50% while the generosity lasts
CODEX-9.90%
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there’s a huge difference between OpenAI and Anthropic quotas
one lets you run WAY over the limits
another starts deleting your code if you’re a token over
my Codex been running for over 30 minutes past its usage on ULTRAFAST, which is roughly 20-30% of weekly Pro limit
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>6 hours running GPT 5.6 Sol on Ultra
>3 mini-apps merged into a single project
>100k LOC written
God bless resets.
SOL-1.46%
UOS-2.91%
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Eightbal53:
Mantappp, keep succeeding always for you, Abang—hope it keeps going strong, aamiin; yokkkkk, let’s go again, everyone, gaskan gaskan gaskan gaskan!
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I learned this today
I’ve been building an app with an integrated MCP using /goal and noticed how agent building it, kept testing the app through the MCP alongside regular review
it tested and optimized all the workflows based on the UX, not just logs
fascinating…
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this is what modern happiness looks like
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DGX Spark is becoming the go-to machine for local inference
seeing more and more models optimized to run on a single spark or a small cluster and marketed around that
this becomes a loop:
>more models means more users
>more users means more models
>repeat
gets yours.
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GPT so good, just upgraded to Pro
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bro "almost done thinking" 😭
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wiring my DGX Spark into local tools feels magical
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