Wednesday, October 28, 2026

Back to today

From X

@StableBread

Fajasy on X

I compared the 8-K on Quantum’s $QMCO CFO firing to the one on its chief accounting officer’s exit in August. $QMCO terminated William White as CFO on October 9, 2026, effective immediately, eight months after appointing him on February 2, 2026. When I first wrote up $QMCO on May 6, White was its newly appointed CFO, after the seat had been empty since August 2025. The 8-K gives no reason, and I found no press release about the firing on $QMCO’s investor relations site. Instead, the 8-K says $QMCO expects to file its September-quarter 10-Q on time. The filing also says $QMCO expects to meet or exceed its guidance for the quarter, even though it was still “early in its financial closing process.” Chief accounting officer Hiral Patel took over as principal financial officer, so she now signs off on $QMCO’s financial statements with the CEO. Patel only joined $QMCO on September 1, after the company decided on August 11 to replace Laura Nash as chief accounting officer. The 8-K on Nash says there are “no disagreements” between her and the company, but the one on White doesn’t say either way. So within two months, $QMCO replaced both of its top finance officers. $QMCO’s June-quarter 10-Q still reports material weaknesses (the most serious kind of gap in a company’s financial reporting controls) in revenue recognition, inventory, and income taxes. It also says $QMCO “lacked sufficiently qualified staff or resources to perform control activities.” None of the weaknesses has led to a material misstatement, but $QMCO has restated its financial statements before, in May 2024 and again in August 2025. In my May 6 write-up, I listed restatements as a risk that could break the story, and wrote that a third “would be a serious credibility hit.” $QMCO expected to fix one of its three revenue weaknesses, the schedules that set when service revenue is recognized, by the end of the September quarter. Its June-quarter 10-Q was also officially filed on August 11, a day after its 40-day deadline, and its FY2026 10-K needed a notice of late filing in June. So with open material weaknesses, a history of restatements, and a 10-Q filed a day late in August, I’d rather see the September-quarter 10-Q, due November 9, before taking $QMCO at its word.
@convequity 1 click

Convequity on X

Circular AI financing keeps getting bigger. A record $63 billion vehicle, partly supported by Broadcom ($AVGO), will buy Broadcom chips for Anthropic, and it only pays off if enterprises adopt AI beyond coding. The vehicle borrows, buys Broadcom XPU accelerators (custom AI chips) and networking gear, and leases them to Anthropic. Deliveries are expected from 2027. Broadcom guarantees a residual value of $40B+. This is the latest example of the banks, hyperscalers, model labs and chipmakers are frontrunning AI demand they expect to be insatiable. Without faster enterprise adoption, that demand may not arrive, and the financing stays circular. AI has to spread from coding into the rest of the enterprise. Coding can be checked, because code has to compile and pass tests. Other domains need the same verifiability, which means codifying context that lives in employees' heads, or at best across email, Slack, WhatsApp and work-management platforms. Vendors that can codify that context should extract immense value. Palantir ($PLTR) is the closest so far. Palantir's ontology, a structured account of an enterprise's objects, relationships and rules that software can use to check a result, is critical because it is instrumental to verifiability. We think it can make an average Nemotron model state of the art for that enterprise's own work. If the result is good enough, enterprises will use it and achieve sovereign AI. Once that context is codified, enterprises will not want to blindly run closed frontier models on it and give their know-how away. Broader adoption depends on data sovereignty. The shift has been visible since Palantir's Alex Karp warned earlier this year that handing closed frontier labs their data, models and institutional know-how means losing control of the value. The path is intelligence sovereignty plus more verifiability, then greater enterprise adoption, which would justify this frontrunning. It would also benefit Nvidia ($NVDA), which needs enterprise adoption because hyperscalers and model labs are leaning toward custom chips.

Danaher’s robotics era

Danaher’s new CEO paired a Q3 beat and raised EPS outlook with a 2027 4%-5% organic-growth starting point, while pitching AI-enabled…

ORCL Update

Oracle rose about 12% intraday on October 28, 2026 as AI infrastructure and cloud-demand sentiment improved and credit-spread concerns…

Meta Earnings, Muse and the Frontier, Musebook

Meta’s earnings hinge on whether investors back Zuckerberg’s Muse vision and the compute spending required to build it.

Anthropic Deep Dive

Anthropic’s $80.7 billion first-half loss was mostly fair-value marks, while $16.3 billion revenue and compute economics showed a $974…

My Last GFL Update - Hopefully

GFL’s take-private structure hinges on BC Partners rolling 60% of its stake to preserve debt portability under the 40% permitted-holder…

Publications we follow

Every publication on this site, hand-picked.

129 publications

Newsletters 109

X accounts we follow

Every account on this site, hand-picked.

91 accounts

Investor letters we follow

190 firms

Sectors

Ordered by how often our editor reaches for them.