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Monday, November 9, 2026

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DASH 2026-11-09

DoorDash and Google

DoorDash and Google.

DASH $86B
Stratechery by Ben Thompson – On the business, strategy, and impact of technology.

From X

@convequity

Convequity on X

I think some bears underestimate $PLTR's model expertise. We have argued that Palantir had more model expertise than it had shown publicly, and that lacking its own foundation model did not put it at the competitive disadvantage those bears assumed. The earlier NVIDIA partnership, which included NeMo Retriever and Nemotron, was my first clue. I see the public Nemotron results as evidence of that expertise. These results fit our argument and were what I expected. Palantir's slide on McCarthy's construction requests for information shows a tuned Nemotron model outperforming Sonnet and Astra on classification. FourWeekMBA reads the chart, which has no data labels, as approximately 73% balanced accuracy for tuned Nemotron, approximately 66% for Sonnet and approximately 62% for Astra. On a cost basis the slide leaves unexplained, FourWeekMBA places Nemotron at approximately $0.10 per million tokens. The slide leaves open whether that includes hosting, tuning and Palantir's software fees. I would want the full customer cost comparison to judge the savings. I still regard Nemotron as a weak starting model. If Western developers make state-of-the-art open-source models available, I expect Palantir to use customer data, task-specific benchmarks and tuning to deliver further improvements in performance and cost. That could make Palantir economical for smaller enterprises as well as very large ones. Savings on model usage could cover Palantir's software premium if customers can move enough work to cheaper tuned models while maintaining the quality they need. As customers spend more on tokens relative to software, the potential savings grow. I expect Palantir's model expertise to become more valuable because it could reduce a larger part of the customer's total bill.
@aleabitoreddit 1 click

Serenity on X

I’m just calling out what I see with a failure in corporate communication, when so much is at stake. I’m really not sure why SK Hynix/Samsung representing SK’s economy let narratives of memory oversupply be dominated by their own customers on X. Or why $CBRS, which lost billions in valuation after the short seller report, is waiting for an analyst question in earnings to fix the damage Or why many of the “guppies” that would face a death in the Neocloud market aren’t actively fighting back against that claim here. A lot of narratives and claims originated and were distributed via X. Even if you don’t like Elon or X, even the Democratic Party combats narratives here as seen with the ratio on the VP’s New York post I don’t see why this can’t be done with AI companies calling BS on $4 B300 price gluts.

Investor Letters

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Vicor Update, Part Four

Vicor’s Federal Circuit hearing put Foxconn’s disputed patent license under pressure, reinforcing its AI server royalty model and licensing…

VICR $6.8B
CV's Substack 2 clicks

NEW POSITION: Google LEAPS

Alphabet bought long-dated GOOGL calls after a 12.6% earnings drop, betting AI monetization and distribution overcome capex pressure and…

GOOGL $3.5T
Hated Moats 1 click

Floor & Decor 3Q26: Business Update

Floor & Decor’s 3Q26 sales rose 3% while comparable sales fell 1.4%; it cut 2027 openings to 10-15 as high mortgage rates pressure…

FND $5B
Speedwell Memos 1 click
MTMTY · short

Metlen Energy & Metals PLC

Metlen Energy & Metals faces a 40% short case centered on its overpriced aluminium, alumina and Greek power businesses.

MTMTY $6.8B
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