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Saturday, October 10, 2026

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@convequity

Convequity on X

A bit of surpsied to see OpenAI Dot's VM spec is so low: CPU: 9 visible logical CPUs; host reports AMD EPYC 9V74 at ~2.6 GHz RAM: 9.7 GiB total, ~8.7 GiB available; no swap Storage: 32 GiB workspace filesystem, ~30 GiB free Also uses Cloudflare $NET network as egress like Grok Bot does but the computer spec is so much lower than Grok Bot. Maybe OpenAI is just more resource constrained vs. SpaceX given a much bigger user base. The demand for traditional compute, networking and storage will grow crazy as more people start to adopt this cloud agent architecture.
@convequity

Convequity on X

$PANW and $DDOG both put something real inside the customer's systems that an AI lab cannot recreate by calling SaaS APIs. Palo Alto's install is still harder to replace with AI. 1. Datadog's agents mostly sit outside the traffic and watch production. A bad agent version rarely takes the business down the way a bad firewall rule can. 2. Palo Alto's firewalls and SASE cloud gateways sit inside the traffic and decide what to allow, deny, decrypt or inspect. A wrong allow or deny hits live traffic and live machines. 3. Many Datadog users start the day in a coding agent and open Datadog when something looks wrong. Many Palo Alto users start in its console and stay there through alerts, triage and response. For them, an outside AI agent is an add-on. Cybersecurity work splits two ways on AI risk. Work done before code ships ("shift-left") or from outside the traffic, such as scanning code, checking cloud settings and sorting collected alerts, gives answers that are easy to check. AI agents are already taking over more of it. Work in live traffic and on live machines ("shift-right") means judging whether an attacker is still inside and whether blocking them is safe. That is more ambiguous and mistakes cost more, so enterprises move slower and demand earned trust. Palo Alto is not risk-free. In our view its exposure is the easily checked detection and vulnerability work inside its platform, which AI agents can take over sooner. The threat is not an AI-native firewall startup.
@ActAccordingly

PAA Research on X

Following the action in $FICO, it seems this post from @pulte has drawn increased investor attention to $STC $FAF $ORI $FNF and their title insurance pricing policies. We have had a short call on $STC and $FAF for some time. There's no doubt there are several technology options that could lower title insurance costs (AI) if not eliminate the need for it altogether (blockchain). You already have many brokers offering bundled solutions for title, mortgage, and advisory. Lots of pressure on these busineses.

Investor Letters

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Boyz in the Hood

Robinhood’s AI agents, 24/7 equity trading and 10:1 crypto perpetual futures encourage higher retail trading velocity, leverage and…

HOOD $98B
WHAT ARE WE DOING? “Contrarians At The Gate”

Top Rebound Stocks for Oct’26

Intuitive Surgical, down 32% from its January 2025 peak, faces slower US procedure growth and new robotic-surgery rivals despite $10.1…

ISRG $147B
Rebound Capital 1 click

Vertiv Holdings Co. (VRT)

Vertiv's 33% stock decline followed a 2026 forecast increase, despite a $15 billion backlog and rising AI data-center demand for power and…

VRT $94B
SixSigmaCapital: Navigating the Financial Markets

Research Roundup Vol. LV

OpenAI’s enterprise privacy push and Synopsys’s Factory 2 royalty model anchor a technology roundup, alongside oil above $100 and Bitcoin’s…

SNPS $97B
Monte Independent Investment Research
VEEV · long

Veeva Systems INC

Veeva Systems is a vertical software company valued as if its best growth years are behind it.

VEEV $46B
Value Investors Club

New Position (ONON): Game is On

On Holding (ONON) is gaining sportswear share, expanding store space and launching soccer with Kylian Mbappé as investors debate U.S.

ONON $11B
Aurelion Research 3 clicks

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