Dr. Doom

444 posts

Dr. Doom

Dr. Doom

@pystudypy

Katılım Mart 2018
314 Takip Edilen240 Takipçiler
Dr. Doom
Dr. Doom@pystudypy·
@ramahluwalia Emergin markets over bought!!! Except Chiness Tech!!!
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Dr. Doom
Dr. Doom@pystudypy·
@ramahluwalia Codex app is really good though!!! Cant say Anthropic won the game already!! Claud is awesome... don't get me wrong!! But Codex is really good too!!! Not a zero-sum game!! They both would win in IMO!
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Ram Ahluwalia CFA, Lumida
Ram Ahluwalia CFA, Lumida@ramahluwalia·
Anthropic did the following: 1) Reinvigorated the AI trade 2) Growing faster and more revenue than OpenAI with a fraction of the compute 3) Caused a meltdown in software 4) Got Scott Bessent to convene a meeting to discuss AI cyber risks Better to have customer focus than be all things to all people. The move is long Anthropic and short OpenAI.
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Dr. Doom
Dr. Doom@pystudypy·
Funny how my timeline was flooded with OpenClaw takes a few weeks ago, all from crypto bros!!! Now those same AI experts are suddenly geopolitical analysts deep in the Hormuz Strait and crude oil trade. Pick a lane. Or at least two.
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Dr. Doom
Dr. Doom@pystudypy·
The White House has been finalizing decisions on targeting Iran for around 10 days. This timing lines up closely with the Russia Ukraine situation back in February 2022 during another mid term election year.If escalation hits toward the end of February or through March the reactions could play out along similar lines based on what happened four years ago. Crude oil jumped more than 30% in the weeks after the invasion on pure supply disruption fears. That kind of upside potential looks realistic again especially if any key routes face pressure. Downside would be limited unless things wrap up fast with no real impact. Gold rose 7 to 8 percent as the safe haven asset during that period. With prices already high there is room for further gains on fresh uncertainty though some pullback could follow if tensions ease quickly. Bitcoin saw an initial drop of several percent then climbed around 14 percent in the days after as it picked up flows around sanctions and hedging. Expect some early pressure followed by possible recovery upside if the narrative shifts.
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Dr. Doom
Dr. Doom@pystudypy·
If you've ever used AI, you'd realize that all this talk of an "AI bubble" is bullshit! Crypto isn't dead either!! Scott Bessent just told CNBC that once the Clarity Act passes, prices will go higher: mainly because crypto's utility will surge!! So shut the fuck up and enjoy the ride!!! XLU, XLI, XLP, and XLE are all up!!! But now it's time for AI and crypto to shine!!
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Dr. Doom
Dr. Doom@pystudypy·
There is a growing consensus on Wall Street that the AI trade is exhausted. If you listen to the recent Forward Guidance roundtable with @fejau_inc and @Tyler_Neville_ their argument sounds convincing. They claim hyperscaler CAPEX has become a bubble with diminishing returns, liquidity is draining, and the yield curve signals a rotation out of Tech. But this financial view conflicts directly with the operational reality described by NVIDIA CEO Jensen Huang in his interview with CNBC today. The disconnect suggests analysts are modeling a business cycle while the industry is executing an infrastructure buildout comparable to the Industrial Revolution. The macro bear thesis presented by Jauvin and Neville relies heavily on historical precedents of financial bubbles like 2000 or 2008. They argue liquidity is drying up and the ROI on over $600 billion of AI spending is unproven. Their recommendation is to sell AI infrastructure stocks based on financial metrics like P/E ratios and yield spreads. Jensen Huang dismantled this bubble narrative on CNBC today with a specific engineering metric that financial models completely miss. He noted that unlike the 2000 Dot-Com era where dark fiber lay unused, current GPU utilization is effectively 100%. His scarcity indicator is even more telling. GPUs sold six years ago, such as the RTX 3090 or A100, are currently selling for higher prices than at launch. In a standard financial bubble, old inventory depreciates. In a structural shortage, old inventory appreciates. If the engineering reality holds true that we are only in year two of a seven-year buildout with acute hardware scarcity, then the market is fundamentally mispricing the sector. Relying on financial metrics to time a technological shift of this magnitude is a category error. You cannot model a physical supply shock with a demand-side spreadsheet. While the macro panel worries about yield curves, the physical market is signaling extreme, structural scarcity.
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