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Thursday, November 12, 2026

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@leevalueroach

Lee Roach on X

Pretty darn good quarter for Sinclair $SBGI. Record one. $136 million of political revenue and $455 million political for the full year of 2026. They smoked 2024 Presidential year, with only $405 million in that period. Not spinning off ventures will hold this back and need clarity on Nexstar/TEGNA merger before anything transformational gets done here. I don't think any big broadcasting deals going to happen now with Dems sweeping. Pretty good look through for other broadcasters.
@InvestSpecial

Dalius - Special Sits on X

A surprising development at $RGS Five of its six directors failed to secure majority support at the Oct 28 annual meeting, with Bill Charters being the only exception. Shareholders also rejected the executive compensation proposal. As a reminder, Bill Charters is the founder of Sabal Capital Management, a fund focused on special situations and restructurings. He was part of the 2024 activist group, joined the board in April 2026 and currently owns ~4% of RGS. There had been nothing to suggest he was pushing for another board shakeup. The five directors have now offered their resignations, but with no alternative slate on the table, the board itself will decide whether to accept them or keep everyone in place. Andrew Alfano, one of the five, was appointed chairman just one day after the vote, which suggests they are staying put. Alfano has said he will speak with shareholders to understand what prompted the vote, so we may get more clarity soon. My suspicion is that investors are becoming increasingly skeptical about the prospects of refinancing the debt, especially as the process keeps dragging on. Any thoughts here?
@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.

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