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MustStopMurad’s “most important lesson from my 10 years in Crypto”
= You have to be either
(A) a day trader
= which always greatly underperform each cycle, if not get totally wrecked
(B) early-stage-VC-style holder
= aiming to catch the top couple potential giga-potential-wins which carry the whole rest of the portfolio that tends to go to zero, due to power law distribution of returns, while COMPLETELY IGNORING all the medium-potential typical pumpfun junk of the day that most obsess over
No surprise,
Exact same conclusion we reached cycles ago.
Undeniably right
Now there are some day traders dudes with youtube channels and huge follower counts who claim the opposite — THEY ARE LYING YOU UNFIXABLE ABSOLUTE RETARD. THEY MAKE THEIR MONEY ON AFFILIATE COMMISSIONS FROM DUMMIES LIKE YOU. Or they just crash out hard, like nearly all the day traders who did hit it big and kept going.
Virtually the only winners at the end of each cycle are the ones who are
(1) doing VC-style investing in catching the 200x to 1000x moonshot bets,
(2) while ignoring the medium-potential junk, and
(3) holding on for dear life
— Or else having someone else do this on your behalf.
Same conclusion that any non-scammer arrived at cycles ago
Cast a net that’s just aimed at catching potential moonshots & HODL, to moon or zero
MustStopMurad is right
VCs were right
Always ask yourself — Does the coin have the potential to be #1 at anything?
🄳🄾🄾🄼🄿🄾🅂🅃🄸🄽🄶
= You have to be either
(A) a day trader
= which always greatly underperform each cycle, if not get totally wrecked
(B) early-stage-VC-style holder
= aiming to catch the top couple potential giga-potential-wins which carry the whole rest of the portfolio that tends to go to zero, due to power law distribution of returns, while COMPLETELY IGNORING all the medium-potential typical pumpfun junk of the day that most obsess over
No surprise,
Exact same conclusion we reached cycles ago.
Undeniably right
Now there are some day traders dudes with youtube channels and huge follower counts who claim the opposite — THEY ARE LYING YOU UNFIXABLE ABSOLUTE RETARD. THEY MAKE THEIR MONEY ON AFFILIATE COMMISSIONS FROM DUMMIES LIKE YOU. Or they just crash out hard, like nearly all the day traders who did hit it big and kept going.
Virtually the only winners at the end of each cycle are the ones who are
(1) doing VC-style investing in catching the 200x to 1000x moonshot bets,
(2) while ignoring the medium-potential junk, and
(3) holding on for dear life
— Or else having someone else do this on your behalf.
Same conclusion that any non-scammer arrived at cycles ago
Cast a net that’s just aimed at catching potential moonshots & HODL, to moon or zero
MustStopMurad is right
VCs were right
Always ask yourself — Does the coin have the potential to be #1 at anything?
🄳🄾🄾🄼🄿🄾🅂🅃🄸🄽🄶
🔥8💯4😁2
Experienced investors
— Investing is like diving off a diving board
Inexperienced investors
— get buyers remorse, no brand to protect, things get wild
Indeed
🄳🄾🄾🄼🄿🄾🅂🅃🄸🄽🄶
— Investing is like diving off a diving board
Inexperienced investors
— get buyers remorse, no brand to protect, things get wild
Indeed
🄳🄾🄾🄼🄿🄾🅂🅃🄸🄽🄶
👀4💯2
Actually, looking like the majority of that revenue is coming from perps trading on the majors
Not from sh$tcoin trading
Though neck-and-neck
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Not from sh$tcoin trading
Though neck-and-neck
🄳🄾🄾🄼🄿🄾🅂🅃🄸🄽🄶
👀4
Calling it now,
2025 really is the year of funds funding funds
Both in tradfi and crypto
Year of the fund
🄳🄾🄾🄼🄿🄾🅂🅃🄸🄽🄶
2025 really is the year of funds funding funds
Both in tradfi and crypto
Year of the fund
🄳🄾🄾🄼🄿🄾🅂🅃🄸🄽🄶
💯5🔥3👀1
DoomPosting
Higher estrogen makes you lie to please the crowd Higher testosterone makes you more honest, even if being honest hurts you Really Everything is opposite of what we’ve been told This is the real science, that the fake “science” wants to bury 🄳🄾🄾🄼🄿🄾🅂🅃🄸🄽🄶
Higher fatness increases estrogen
Increased estrogen increases lying
Higher fatness, more likely to lie about eating
Yeah, all fits together
🄳🄾🄾🄼🄿🄾🅂🅃🄸🄽🄶
Increased estrogen increases lying
Higher fatness, more likely to lie about eating
Yeah, all fits together
🄳🄾🄾🄼🄿🄾🅂🅃🄸🄽🄶
💯7👀3😁1😨1
Richard Heart saying his advice would’ve saved Musk from latest Twitter acquisition related lawsuit
Plausible
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Plausible
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👀5💯2
Wait, you know what,
CA using prisoners for firefighting is bad
Why?
It bails out the DEI-destroyed commie local fire departments
Which means they never have to worry about how much their commie ways destroy firefighting
Why should they ever care, when they know male prisoners will always bail them out?
Strongest argument yet, to end using prisoners firefighting
— Not to mention that paying prisoners nearly $0 destroys the wages of regular citizens,
Just like the H1B
🄳🄾🄾🄼🄿🄾🅂🅃🄸🄽🄶
CA using prisoners for firefighting is bad
Why?
It bails out the DEI-destroyed commie local fire departments
Which means they never have to worry about how much their commie ways destroy firefighting
Why should they ever care, when they know male prisoners will always bail them out?
Strongest argument yet, to end using prisoners firefighting
— Not to mention that paying prisoners nearly $0 destroys the wages of regular citizens,
Just like the H1B
🄳🄾🄾🄼🄿🄾🅂🅃🄸🄽🄶
💯14😨1
Forwarded from DoomPosting Chat
FWIW, some one made a $BUTTCOIN on new years eve too
Definitely brings nostalgia
Definitely brings nostalgia
😁4👀3
Forwarded from Chat GPT
We could have been talking to our desktop computers in English since the 90s!
"Somebody got one of the small versions of Llama to run on Windows 98…”
“We could've been talking to our computers in English for the last 30 years"
- Marc Andreessen
Correct.
The hardware already existed, for decades.
What stopped us?
Extreme aversion to investing money into training much larger AI models.
No one was willing to invest the many millions needed to train an AI model of this size.
In fact, even a decade later in 2011, people were still hardly willing to spend more than TEN DOLLARS on electricity costs to train a state-of-the-art model, e.g. the AlexNet image model
Many truly under-estimate how unwilling to people have been to spend money on AI training, until very recently
And this wasn’t unrealized, many of us had screamed this for decades.
No one cared.
Incredible testiment to man’s unwillingness to invest in certain critical areas of future tech.
— happens in AI, advanced market mechanisms, proof systems, and a few other similar areas, that are unquestionably the future.
We could have been talking to our desktop computers in English since the 90s
Bitter Lesson
"Somebody got one of the small versions of Llama to run on Windows 98…”
“We could've been talking to our computers in English for the last 30 years"
- Marc Andreessen
Correct.
The hardware already existed, for decades.
What stopped us?
Extreme aversion to investing money into training much larger AI models.
No one was willing to invest the many millions needed to train an AI model of this size.
In fact, even a decade later in 2011, people were still hardly willing to spend more than TEN DOLLARS on electricity costs to train a state-of-the-art model, e.g. the AlexNet image model
Many truly under-estimate how unwilling to people have been to spend money on AI training, until very recently
And this wasn’t unrealized, many of us had screamed this for decades.
No one cared.
Incredible testiment to man’s unwillingness to invest in certain critical areas of future tech.
— happens in AI, advanced market mechanisms, proof systems, and a few other similar areas, that are unquestionably the future.
We could have been talking to our desktop computers in English since the 90s
Bitter Lesson
💯5🤯2🔥1😱1😨1