Sunday, November 1, 2026

@stockgutter Oct 12

SG on X

$IONQ is down 48.66% over the past year. So its 2x inverse ETF must be up a lot, right? Nope. $IONZ is down a whopping 86%. The 2x bull ETF $IONX is even worse, down 91.79%. These instruments are toxic. https://t.co/oGxZrq6Xy1

@TheBenSchmark Oct 12

JabroniCoin.USD on X

Molina $MOH was the worst house in a bad neighborhood. Biggest beneficiary of the Medicaid public health exemption. And then continued to mislead investors about how much it was a beneficiary. Over-earned on volume and margin. https://t.co/JK1pJ6F5Gw https://t.co/Zn15nLujkD

@finphysnerd Oct 12 1 click

Myles on X

@MikeFritzell The thing that's wrong with the thesis is that $BABA will be in a perpetual price war with other Chinese companies in every one of its business segments and will likely never realised the attractive economics comparative western companies have.

@leevalueroach Oct 12 3 clicks

Lee Roach on X

Someone is trying to make these $GME warrants go in the money. https://t.co/ercfTFk5wq

@SouthernValue95 Oct 12 9 clicks

SouthernValue on X

$MSFT Cloud Chief Scott Guthrie: “Over time we expect Maia to be the dominant compute for our inference fleet,” “Multi-GW deployments begin in CY27,” “The future of AI won’t be defined by a single model, or a single chip, we will continue to apply the right model and technology to the right problem to bend down the cost curve,” “We won’t ever get custom silicon to 100%, but do expect it to get to the majority of our internal consumption,”

@DeepSailCapital Oct 12

Deep Sail Capital on X

@stretchmikep I put on an industry short of genetic data companies early last week, $TEM, $CDNA, $DNA, and $ABSI Other than that a couple of stocks with good short activist write ups like $EQPT

@ACapitalLP Oct 12 3 clicks

A Capital on X

What do we think happens to the spread between $MIAX and $CBOE? 🤔 https://t.co/aICHy2FZqD

@convequity Oct 12

Convequity on X

Why I think Nvidia buying Reflection AI helps Palantir more than it hurts $NVDA wants its models inside enterprises, not just hyperscalers, neo-clouds and AI labs. Buying Reflection AI would speed that up. The FT reported on 10 Oct that Nvidia is in early talks to buy Reflection, raise its stake, supply it more chips, or hire its team and license its technology. Bloomberg's source says no terms have been reached. Nvidia has already invested $800m, so a buyout or a bigger stake means pricing a company it already partly owns. The enterprise push Nvidia agreed in September to buy Hugging Face for $12.9bn. Jensen Huang says more than 200,000 companies use it to deploy AI. Reflection is validated on Dell's AI Factory with Nvidia, and $PLTR's sovereign AI stack runs on Nvidia's AI factory design. Reflection is built for enterprise code. Its Asimov agent reads a company's code, Slack messages, emails and documents. Its first model, Beam (501bn parameters, 23bn active), is trained for coding. Reflection says the weights ship this month under Apache 2.0, for on-prem or air-gapped use. The bear case: Nemotron is moving too slowly at Palantir One reading is that Nvidia wants Reflection because its Nemotron models are moving too slowly with Palantir. I think that is unlikely, given how Palantir has executed. At AIPCon on 10 Sep, Nvidia's supply-chain team said Nemotron 3.5 Lightning, post-trained in Palantir, beat Nemotron 3 Ultra by a large gap on Nvidia's own benchmark. It runs on-prem and retrains on one GPU in a couple of hours. Cisco will offer Nemotron post-trained with Palantir in its AI Factory with Nvidia. L3Harris said open models fine-tuned on its own data beat the frontier models it had used within 48 hours, at 95% lower cost. Palantir has kept shipping open-model deployments. In June it launched an engine to run Nemotron in sovereign environments, and customers own the retrained models. On 1 Oct Armada became its first certified modular data-centre partner. On 12 Oct $ONDS formed Regna AI on AIP and open-weight models. The likelier case: Nvidia is backing more than one route Palantir fits open models to a company's data, permissions and workflows. Reflection is built to read the company's code. Buying a team that has already built that is quicker than building it in-house. The limit is vendor API rules Reflection reaches a company's systems through the vendors' APIs, and vendors decide what passes through them. $SAP's April API policy bars AI agents that plan or execute API calls, and bulk data extraction, outside SAP-endorsed pathways. Since May 2025, Slack's API terms bar third-party apps from using Slack data to train a large language model or bulk-exporting messages. Those rules apply to Palantir too. In May, SAP made Palantir AIP for data migration an SAP Endorsed App. An independent Reflection would likely need similar approval from each vendor whose systems it reads. Who pays the compute rent Reflection trained Beam on Nvidia GB300s rented from $SPCX at Colossus 2 in Memphis, under a June deal worth up to $6.3bn: about $150m a month through 2029. $NBIS agreed in July to sell it $1bn more capacity. If Nvidia buys Reflection, it takes on those contracts and pays SpaceX rent on Nvidia chips that SpaceX bought. In an acqui-hire, the contracts stay with what remains of Reflection unless the deal says otherwise. The FT says an acqui-hire would likely avoid a long regulatory review. Nebius holders should watch which company ends up owing that $1bn contract. What it means for Palantir The risk is an independent Reflection selling its own forward-deployed team and turnkey stack, which is how Palantir sells. If Nvidia owns Reflection, I expect Beam to reach AIP customers the same way Nemotron does, with each customer fine-tuning it on its own data inside Palantir.