What Are Your Moves Tomorrow, October 12, 2026
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I’ve definitely been a perma bear and have been wrecked over the last night, and most likely for the foreseeable future. I’ve thought the economy has been in a precarious spot, but over the years have continued to see people spend high $xxx, and even $x,xxx for concerts and sporting events. If people are spending this, they are clearly fine.
Might be localized to Vegas, but not even ticket-fraud-ster is buying up all of the tickets at Vegas golden knights home games.
Since 2017-2018 there have been 352 home games and all but the last two games have sold out.
Most notably it was the worst team but also one of the most popular teams the Toronto maple leafs that didn’t sell out and fell 1390 tickets shy (15977 out of 17367). Could just be Canadians sending a message.
Or that Vegas is not the place to be.
Or that the sky is falling short everything.
So many AI related IPOs are being pulled - Firmus, Softbank Energy.... There is now way Anthropic is able to place 100bn of equity when even junk bonds are puking on further AI funding. Given the market is still pricing in the IPO, what would be your proxy play if Anthropic cancels / delays the IPO?
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All in only 4 years
https://aiweekly.co/alerts/anthropic-adds-iren-to-530b-data-center-lease-scramble
The AI run continues!
Thoughts?
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I’m 19 now, I was still 18 when I lost most of the money. Spent years saving up, NEVER spending a penny. Every single paycheck would be saved. Invested a lot of it the moment I turned 18.
Then, I discovered options. I was up over $1k on a Micron call in less than 60 seconds. I sold that call, continued trading throughout that day, was at a loss at some point, and ended the day off with around $20 in profit. I’ve been chasing that high ever since. Most trades were pure gambling, just trading for the sake of trading. Realistically, it was a gambling addiction.
After the last crash you see on the graph, I traded almost exclusively on margin. I decided to pay the margin debt off when it finally hit me how much I’ve lost, and now I’m officially broke.
I don’t even know how to feel about this anymore. I’ve been stuck in a rut ever since I started trading options. It feels like the last 3 years were just thrown away.
I’m done for the time being. No more intention of trying to make the losses back through trading.
I’ll make the money back, somehow, eventually. Ouch.
Quick explanation of Pascal’s Wager (for the smoothbrains)
400 years ago a dude named Blaise Pascal said:
>“Should I believe in God?”
If God is real -> infinite upside (heaven, eternal profit).
If God is fake -> you lose basically nothing (you just lived a boring life).
So the rational move is to believe in God. Asymmetric bet. Limited downside, unlimited upside.
The Memory Wager (same exact logic)
Two possibilities:
1. MU is still just a cyclical memory run
Cycle peaks, prices roll over, earnings collapse.
But look at the valuation right now: 14x trailing P/E, 6x forward P/E
The market is already pricing in a cycle and expect the margins to crash in the next few years. The downside is already baked in. You’re not buying at peak cycle multiples. You’re buying after the market has already assumed the hangover.
2. MU is no longer pure cyclical
AI demand + HBM + multi-year take-or-pay contracts actually changed the game. Memory becomes infrastructure.
Then this thing re-rates to normal semiconductor / AI infra multiples like NVDA, MRVL, AVGO etc.
From 6x forward, we’re looking at 3-4x easily like SKHY, maybe even a lower P/E.
That’s the Micron/Memory Wager.
Same asymmetry as Pascal.
Limited downside if the bear case is true.
Explosive upside if the bull case is true.
Position: 100% MU, ~126 shares
I'm fully confident that the subprime mortgage bubble isn't really a bubble. Sure the economy has been in a technical recession for some 12 months however it looks like it's gonna end by 2009. We're almost mid september so soon we'll get Q3 reports, so I chose to go full in with 500k. Thoughts?
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Not as impressive as most other gains here.
Most of the gains over the past year came from playing deep ITM LEAPS on Microsoft mid-2027 and 2028 expiration dates with deep value strikes ($200, $215, $390).
EDIT - For Gods sake guys, at its core its just communications infrastrucutre, and data storage, Elon musk is not the first, nor will be the last "tech bro" to come up with it. He simply was the first guy to go public with some shit like this.
You cannot constantly associate the idea of Data Storage Processing, Communication, Computing & Updates that just happens to be in space with SpaceX or Musk. Its honestly fucking retarded and incredibly obtuse.
Also data center is a loose term it doesn't have to be this big ass multi-gigawatt box it could literally just be a server like digital Ocean or linode, or a big ass cluster of linux servers specifically tailored towards long-term uptime and low power draw that works large enough with the solar panels attached to it or the nuclear reactor whichever is easier.
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When I was a teenager I read a book called the Kraken project by an author called Douglas Preston in this book and some of the concepts related to artificial intelligence within the book, I have been witnessing occur in reality.
Which has sparked my interest related to data centers in space. Initially, I thought this was not financially viable & was some BS, however now I believe that in the future it could potentially be financially viable and I will present my argument below.
SPACE BASED DATA CENTER INFRASTRUCTURE INVESTMENT ARGUMENT.
Space based data centers are not an attempt to replicate hyperscale infrastructure in orbit. A more compelling thesis is to develop a distributed computing, storage, and communications network for autonomous robotics operating on the Moon, Mars, and other extraterrestrial environments.
Space agencies, robotics manufacturers, and commercial mission operators could lease compute capacity, data storage, optical communications, and software-distribution services rather than independently building and maintaining every component.
The technical rationale centers on bandwidth, latency, and autonomous operations. Earth-Mars one-way light time varies from approximately 3 to 22 minutes, making conventional real-time remote control impractical. Orbital computing cannot overcome the speed of light, but it can process sensor data locally, cache software updates, aggregate telemetry, and distribute validated AI models across robotic fleets.
This could support a version-controlled deployment architecture analogous to GitHub, combined with edge computing and delay-tolerant networking.
NASA's existing Mars relay infrastructure, LunaNet framework, and delay-tolerant networking work provide relevant precedents, although an integrated orbital compute network would require further engineering and commercial validation.
FINANCIAL VIABILITY (PROJECTIONS, NOT MODELED OR TESTED)
The investment case depends on capital intensity, asset lives, and replacement economics. Spacecraft platforms, optical terminals, power systems, and computing payloads have different useful lives and should be modeled separately for depreciation and amortization.
A spacecraft might remain operational after its computing hardware becomes economically obsolete, creating a technology-refresh problem. Radiation tolerance, thermal management, power generation, launch costs, servicing limitations, and end-of-life disposal all affect life cycle cost.
EBITDA would be an insufficient valuation metric. FCF, replacement capital expenditure, return on invested capital, and asset utilization would be the best way to look at it imo*.
Commercial viability requires a bottom-up unit-economics model. Revenue could come from contracted network capacity, compute usage, storage, data processing, and software-distribution services.
Ten customers paying $400,000 annually would produce $4 million in ARR*. (I PERSONALLY find this to be a terrible metric for valuing companies)
However, that figure is a modeling assumption, not evidence of market demand. Underwriting would require estimates for payload mass, launch and deployment costs, useful life, power consumption, operating expenses, customer acquisition, contract duration, utilization, and financing costs, downside scenarios involving delayed deployment, lower utilization, hardware obsolescence, and higher replacement expenditure.
A rational commercialization strategy would begin with a lunar (the moon) demonstration focused on communications, storage, and inference rather than immediately attempting general-purpose orbital GPU training.
Governments could provide anchor demand, while commercial robotics operators could expand utilization as activity grows.
The principal investment question is whether shared orbital infrastructure can deliver sufficient incremental mission performance or cost savings to justify its lifecycle capital requirements relative to onboard processing and Earth-based alternatives. If validated through customer contracts, engineering demonstrations, and disciplined financial modeling, the concept could develop into a specialized infrastructure asset class supporting the expansion of autonomous operations beyond Earth.
Illustrative Lunar Data Center Financial Model
Under this scenario, the company reaches accounting break-even in 2031 and earns approximately $4 million in net income by 2032.
| Financial metric | 2027 | 2028 | 2029 | 2030 | 2031 | 2032 |
|---|---|---|---|---|---|---|
| Rev | 2 | 6 | 12 | 20 | 28 | 35 |
| EBITDA | (3) | (2) | 1 | 6 | 13 | 20 |
| D&A | (1) | (2) | (4) | (7) | (10) | (12) |
| EBIT | (4) | (4) | (3) | (1) | 3 | 8 |
| Interest expense | (1) | (2) | (3) | (3) | (3) | (3) |
| Pre-tax income | (5) | (6) | (6) | (4) | 0 | 5 |
| Estimated taxes | 0 | 0 | 0 | 0 | 0 | (1) |
| Net income | (5) | (6) | (6) | (4) | 0 | 4 |
Essentially my argument is, for now, I don't believe we have the tech fully, there, but its viable, and there is (IMO) pending commercial demand. I dont believe its going to be this big ass rollout of vehicles, but rather as contracts are landed and code is developed, and vehicles are engineered, I predict the specialized demand will create and maintain itself.
If I was the Head of Energy of a country, with a Helium-3 Nuclear Reactor, and I had 10 billion allocated to my budget, one of the first things I would do is immediately put an engineering team, focused on mining helium-3 from the Moon, and another team focused on specifically transport back & forth.
Because we don't have much of that on Earth, and it makes great safe* & cheap energy which could reduce our entire country's energy costs significantly.
As for compute, data storage, I would probably just go to SpaceX and lease it from them, and for vehicle launches, I would most likely also contract SpaceX to get our vehicles in orbit, and our team would take it to the moon, and land it.
Communications, would be handled by our team with the infra leased from SpaceX, we would need the live feed, to control any vehicles on the moon remotely, and that's why a datacenter that can store, compute, process, and push updates, is incredibly valuable.
Anyway, Idk im not a fucking rocket scientist so dont come at me with some bullshit like "🤓ohhhh you don't understand this completely fucking obscure math problem,which makes this completely unviable". Okay, I like to dream sometimes so live a little.
Lmk what you think. Am I tripping balls or have I struck financial modeling gold here.
Sources n shit.
As the title said. I’m not worried about the overall AI trade just because Open AI has lower revenue than previously stated expectations. I think Open AI will be the first loser in the AI race.
They have no Moat. Muse is a better chatbot/agent and it’s free! Open AI charges $100 a month for basically the same product.
Claude beats it when it comes to coding and enterprise inclusion. Even Microsoft is pulling away from Open AI and leaning more towards Claude.
Open AI has nothing to integrate with. Meta can interconnect across Facebook and instagram and all of its other apps. Alphabet has Google Maps and Gmail and Google Drive to integrate with as well.
Space X has rockets and a shit ton of money to build the largest “AI factory” in Texas.
Sam Altman is largely unpopular. That doesn’t help.
Open AI is all built on loans.
What happens if Open AI crashes? Do you think they will get bought out?
That’s all I got. Tell me why I’m wrong.
> Talks are at an early stage and a deal could take several forms, including a so-called acqui-hire arrangement where Nvidia would hire staff and license technology rather than pursue a full acquisition, potentially avoiding a lengthy regulatory review, the newspaper said.
> An agreement could be reached in the coming weeks, according to the report, which cited multiple people familiar with the matter, while adding that the discussions could still fall apart.
circlejerking continues...