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Sunday, September 13, 2026

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@MultiplesCap

Multiples Capital on X

Not an AI expert by any stretch, but wonder if US labs actually coordinate to "pace the frontier," it could be a stealth negative for Nvidia’s top-line growth rate. Here’s why: Flattening the Frontier Race: If scaling massive base models is intentionally delayed for alignment, the panic to hoard the newest, most expensive contiguous GPU clusters cools down. Shift to Post-Training & RL: Progress shifts to squeezing intelligence out of existing models via synthetic data and self-play. This relies on inference-class rollout fleets rather than cutting-edge pre-training mega-clusters. The Verification Layer: Evaluating, sandboxing, and grading all that synthetic RL data requires massive CPU compute .... benefitting $INTC Less brute-force pre-training = extended hardware refresh cycles and a normalized upgrade curve for $NVDA. Markets much smarter on this than I, will wait into see how the stock prices react to this next week!
@Fierce__beast

Fierce_beast on X

For $CASY, let's say it grows earnings roughly 6% on average for the next 20 years, then 3% terminally. Maybe its 9% for the next 5 years, but gradually moves toward something like maturity of 3%, average let's say is 6%. What multiple would you currently pay on that earnings stream? Personally, i would pay no more than 25x for this. Add other considerations to the business, maybe you think it will grow faster or longer, adjust your multiple as you prefer.

Investor Letters

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Lululemon: The 15-Minute Thesis

Lululemon’s North American sales, margins and legging demand are falling as Alo and Vuori gain share, leaving its brand moat and depressed…

LULU $11B
Hated Moats 2 clicks

The Five Deals That Made Apollo

Apollo Global Management’s five defining deals, from Executive Life to Intel, built a $1 trillion asset manager spanning insurance and…

APO $74B
Net Interest 1 click

In Conversation: NVIDIA

NVIDIA sees inference, agentic workloads and robotics broadening AI compute demand beyond hyperscalers, while high-speed memory shortages…

NVDA $5.5T
Aurelion Research 1 click
STRL · short

Sterling Infrastructure INC

Sterling Infrastructure short pairs STRL against EME and FIX, arguing data-center sitework contractors lack the margin upside available to…

STRL $16B
Value Investors Club

Cerebras Systems, Inc.

Cerebras Systems’ WSE-3 wafer-scale chip targets low-latency AI inference with faster decode than GPU racks, while higher per-token costs…

CBRS $47B
SixSigmaCapital: Navigating the Financial Markets

Deep Dive: Uber ($UBER)

Uber generated $52 billion of FY25 revenue and $10 billion of free cash flow as investors weigh whether autonomous vehicles can erode its…

UBER $145B
Rebound Capital

Financing the AI Boom 3

Nvidia GPU rental prices are rising across generations, supporting a $500 billion push to finance AI compute as a durable, rentable asset…

NVDA $5.5T
Net Interest

The AI Compute Squeeze

CoreWeave and Nebius cite AI compute shortages and higher-priced GPU renewals, but older-chip utilization and depreciation vary across…

CRWV $47BNBIS $59B
MBI Deep Dives 8 clicks

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