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Sunday, November 1, 2026

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Altria: Dutiful

Altria raised 2026 adjusted EPS guidance to $5.66 to $5.74 and authorized more buybacks, while on! loses share as cigarette margins hold.

MO $130B
Invariant 2 clicks

From X

@StableBread 2 clicks

Fajasy on X

I tried to work out who’s behind the AI data labeling companies that approached Nubeva Technologies $NBVAF (TSXV: $NBVA). CEO Randy Chou didn’t name the data labeling companies (firms that turn experts’ knowledge into training data for AI labs) or the customers behind them. “If a data labeling company’s coming to us, somebody behind them is asking,” Chou said, adding that the customer typically isn’t limited to cybersecurity companies. OpenAI is one potential candidate, since my previous write-up concluded that the frontier model Nubeva got access to in September was most likely OpenAI’s, through its Daybreak program for vetted defenders. OpenAI launched GPT-6 Astra on September 3, 2026, the day Nubeva announced its access. It’s the first model OpenAI rated Critical for cybersecurity capability. But access to OpenAI’s model wouldn’t prove OpenAI is also behind the data labeling companies, since any lab building cyber models could want labeled malware. Among data labeling companies, three of the largest are publicly recruiting or selling binary analysis expertise, the skill of figuring out what malware programs do: → Scale AI: Its product manager posting calls the cybersecurity portfolio “a product line that does not exist yet” and says the hire will recruit “malware analysts.” → Turing: Sells CyberBench, security tasks for training and testing frontier models, with malware analysis and reverse engineering among its ten categories. TechCrunch called Turing “a key coding provider for OpenAI” in March 2025. → Mercor: Recruits security experts, preferring reverse engineering or binary analysis backgrounds, and counts OpenAI, Anthropic, and Meta $META as customers. OpenAI cut ties with Scale in June 2025, after Meta bought 49% of Scale and hired its founder, Alexandr Wang. So if OpenAI is behind the approach, Turing and Mercor are the likeliest data labeling companies, since both sell to OpenAI and already sell or buy binary analysis expertise. Either way, these data labeling companies are worth $2.2-29B, so even Turing, the smallest, could pay the top of my $12-19M sale range for Nubeva for less than 1% of its last valuation.
@convequity 1 click

Convequity on X

AI swarms could make network security more important. Anthropic's October 12 research ran an AI model across 15 cheap Android TV boxes at 0.39 tokens per second. The small models still couldn't reliably complete the full replication cycle. I think we're still early. Inference on this hardware is painfully slow. But the idea is interesting because human-level intelligence isn't necessary for something to reproduce and spread. Think of insects: limited individual intelligence, yet populations can spread widely. An AI worm could carry its model with it, adapt to unfamiliar devices and use compromised hardware to run the next copy. A model too large for one device could be split across several. Better processors and more memory in future cameras, TV boxes and other connected devices would make more local inference possible, wherever attackers can gain access. That creates a security problem beyond installing software on individual devices. You're not going to put an endpoint security agent on every camera or TV box. You need to identify those devices through the network, restrict what they can communicate with and isolate them when compromised. A perimeter firewall alone cannot inspect traffic that never passes through it. I think $FTNT could benefit here. Its agentless device discovery and network segmentation fit this problem, especially across distributed sites. More capable AI on unmanaged devices could increase demand for those controls. The opportunity also extends to networking vendors that integrate security into switches and wireless access points, where they can control how devices connect and communicate.
@stockgutter 1 click

SG on X

I am a skeptic of the current quantum companies but cannot ignore that $IONQ just doubled its cash hoard from $2B to $4B, selling shares/prefunded warrants at $40 (above market) covered 2:1 by warrants with a strike at $69.46. Not a bad move imo. While I agree with critics that the warrants are a bit oppressive, shitcos will have to pay up one way or another to raise $$ in size. There are worse structures. No position in IonQ rn, but considering selling long-dated calls in the 2x inverse ETF $IONZ - I think the underlying will participate strongly in any junk bounce towards year end.

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FTAI 3Q26: Aero margins in focus

FTAI’s Aerospace Products margin rebounded to 31% as CFM56 module output rose, while Power deposits and contracted deliveries fund its 2027…

FTAI $20B
Stock Thoughts 4 clicks

CVX Earnings Review

Chevron’s Q3 revenue rose 35% to $65.2 billion and EBITDA 75% to $20.2 billion, while production trailed guidance and refining margins…

CVX $465B
Cestrian Capital Research 3 clicks

SNY Earnings Review

Sanofi raised FY26 guidance after Q3 sales grew 14.3% at constant currency, led by 34.8% Dupixent growth; vaccines declined 6.6%.

SNY $108B
Cestrian Capital Research 1 click
T · short

At&t INC

AT&T’s stalled deleveraging and share repurchase case has prompted a bearish turn on the telecom stock.

T $144B
Value Investors Club

Microsoft's AI Boom Has A Cost

Microsoft’s Azure grew 48% as AI monetization accelerated, but doubled CapEx, largely for CPUs and GPUs, reduced quarterly free cash flow…

MSFT $3.9T
Yiannis Zourmpanos 2 clicks

TSOH Weekly Roundup (10/30/2026)

Markel spent $315 million repurchasing shares in Q3 as Thrive agreed to buy ADT for $7.6 billion and Hasbro cited rising adult toy demand.

MKL $23B
TSOH Investment Research 1 click

AMZN Q3 FY12/26 Earnings Review

Amazon reported $201.9 billion Q3 revenue and 39% AWS growth, while $220 billion in 2026 capex drove trailing free cash flow to a $42.4…

AMZN $2.6T
Cestrian Capital Research 3 clicks

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