T-Money 🇺🇸

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T-Money 🇺🇸

T-Money 🇺🇸

@lundgard_thomas

A humble observer in life’s great classroom 🌎 🌊 Passionate about surfing, crypto markets, & entrepreneurship

Katılım Nisan 2021
291 Takip Edilen371 Takipçiler
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T-Money 🇺🇸
T-Money 🇺🇸@lundgard_thomas·
Have decided to take some profits. Been in this market since 2020 and have survived 2022 meltdown. Personally don’t see the risk/reward and don’t want to give all my profits back. Plus not gonna fade OG’s like @cburniske @QwQiao @Pentosh1 pointing out some warning signs.
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T-Money 🇺🇸
T-Money 🇺🇸@lundgard_thomas·
@cburniske @andyyy Would love an update on thoughts about market (if you are willing to share of course) 🤙🏼🏄‍♂️
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T-Money 🇺🇸 retweetledi
Chris Burniske
Chris Burniske@cburniske·
@andyyy One can’t be back if they never left, just as a winter can’t be over if it hasn’t even started
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Andy
Andy@andyyy·
Crypto winter is over.
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T-Money 🇺🇸
T-Money 🇺🇸@lundgard_thomas·
@mrjasonchoi Thoughts on where we are in this crypto bear ? Feels like price capitulation has passed and now entering time based capitulation… 🤔
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Jason Choi
Jason Choi@mrjasonchoi·
Past year was the longest stretch I haven’t invested in anything in crypto since 2018. Crypto still has a massive over capitalization problem. That means good teams get overbid and great teams are priced euphorically. It’s not a coincidence top funds are expanding to fintech or soft-pivoting to AI and robotics. This will self-correct but it is not a fast process.
John 🔺@dantwany

Crypto investors have stopped writing checks 2022: 5,345 unique investor names appearing in deals Last 90 days: 377 This data lags too. The real picture is even more stark.

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T-Money 🇺🇸
T-Money 🇺🇸@lundgard_thomas·
Hard to tell if this is disbelief pump into a sustainable rally. Or a lower high going back to goblin town. Time will tell… feels like we need more time capitulation but previous cycle was different so who knows 🤔
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Ansem
Ansem@blknoiz06·
there is a palpable feeling of anxiety in the market when a coin keeps going up & its apparent ppl dont own enough
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T-Money 🇺🇸 retweetledi
Etherealize
Etherealize@Etherealize_io·
Marc Andreessen: “This is the grand unification of AI and crypto” “I think AI is the killer crypto app… It’s now obvious that AI agents are going to need money. It’s already happening.” Marc explains: “My friends, who are the most aggressive users of OpenClaw, have given their Claws bank accounts and credit cards. And not only have they done it, but it’s obvious that they needed to do it… It’s just completely obvious. The number of people who have done that today is, I don’t know, probably 5,000 or or something. But it will grow. That’s how these things start.” Source: @latentspacepod (Apr 2026)
Etherealize@Etherealize_io

x.com/i/article/2042…

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Mike Novogratz
Mike Novogratz@novogratz·
Galaxy filed its inaugural annual report as a U.S.-listed company on the Nasdaq--not just a milestone, but a declaration that the digital economy is real, it is here, and we're positioned to lead it: from onchain financial rails for some of the world's largest banks, to Helios, our AI data center in West Texas, approved for over 1.6 GW of capacity. @galaxyhq has been on this journey for eight years. We have navigated bull markets and bear markets, regulatory uncertainty, industry crises, and moments of genuine doubt about whether the broader world would ever catch up to what we saw coming. The answer, increasingly, is yes. This is the beginning of the next chapter, and we have never been more bullish. The most consequential shift in this industry right now is the move from narrative to infrastructure. Stories alone don't build an economy. The future digital economy will be built on regulated rails, trusted custody, and tokenization platforms that turn promise into practice. Infrastructure and regulation are converging, and that can unlock the next wave of institutional capital moving onchain. Which brings me to our Data Center Platform. AI is reshaping every industry and the power and scale required to run it are in critically short supply. Helios, our flagship AI data center in West Texas, is the most tangible expression of our ambitions. The first 800 MW leased to @CoreWeave represents over $7.5B of capital investment alone. Combined with our newly approved 830 MW, Helios likely represents well north of $15B in long-term digital infrastructure investment. Our broader ambition: a multi-hundred-billion-dollar portfolio diversified across geographies, tenants, and technologies. Demand for compute is not a cycle. It is a structural condition. $GLXY intends to meet it. Read the full letter here: galaxy.com/newsroom/2025-…
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T-Money 🇺🇸
T-Money 🇺🇸@lundgard_thomas·
I always end up buying real estate in bear markets 😂. Need to start buying when crypto bull is in full motion.
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T-Money 🇺🇸
T-Money 🇺🇸@lundgard_thomas·
Not much word from @cburniske lately. Think 60k was bottom? Or are we running back the normal cycle and bottom end of this year 🤔
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Dan Bilzerian
Dan Bilzerian@DanBilzerian·
Trump is an extreme narcissist, he’s going to nuke Iran because his ego can’t handle that he’s losing the war and his lies will be exposed. 25th amendment.
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Ansem
Ansem@blknoiz06·
which do i learn first
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T-Money 🇺🇸
T-Money 🇺🇸@lundgard_thomas·
Buckle up. Accumulate as many high quality assets as humanely possible. Land BTC Tech Equities
Big Brain AI@realBigBrainAI

Marc Andreessen explains why we are only three years into what is effectively an 80-year technological revolution: He opens with a blunt assessment: "This is the biggest technological revolution of my life. This is clearly bigger than the internet. The comps on this are things like the microprocessor and the steam engine and electricity." But to understand why, you have to go back 80 years. In the 1930s, the pioneers of computing understood the theory of computation before they'd even built the machines. And they faced a fundamental choice. Build computers in the image of the adding machine — hyper-literal, mathematical, capable of billions of operations per second, but unable to understand human speech or deal with humans the way humans like to be dealt with. Or build computers modelled on the human brain. Neural networks. They chose the adding machine. And that single decision shaped everything — mainframes, PCs, smartphones, every dollar of wealth the computer industry created over the next 80 years. IBM itself is the successor company to the National Cash Register Company of America. The lineage runs that deep. But here's what makes this moment so extraordinary. They knew about the other path. The first neural network academic paper was published in 1943. Marc points to a remarkable piece of forgotten history: "There's an interview you can watch on YouTube with the authors. It's him in his beach house, not wearing a shirt, talking about this future in which computers are going to be built on the model of the human brain." That was 1946. The vision existed. The path just wasn't taken. So neural networks spent the next eight decades living in the shadows. Kept alive by a small academic movement — first called cybernetics, then artificial intelligence — that refused to let the idea die. And for most of that time, it simply didn't work. "It was basically decade after decade after decade of excessive optimism followed by disappointment." By the time Marc reached college in 1989, AI was a backwater field. Everyone assumed it was never going to happen. But the scientists kept working. Quietly building up an enormous reservoir of concepts and ideas across those decades of disappointment. And then Christmas 2022 arrived. ChatGPT. And suddenly: "All of a sudden it's like: oh my god. It turns out it works." That moment wasn't the start of something new. It was the payoff on an 80-year-old bet that almost everyone had written off. Which is exactly why Marc's framing matters so much: "We're three years into what is effectively an 80-year revolution." Most people are treating AI like another technology cycle — something to adapt to, ride, and wait out. But if Andreessen is right, we are not adapting to a new cycle. We are standing at the very beginning of the longest and most consequential technological transformation in human history. The road not taken in the 1930s is finally being built. And we have barely broken ground.

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