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Molly White @molly0xfff hachyderm.io

In South Carolina, the AI industry is making its biggest general-election bet: about $5M behind Republican Darline Graham. $2.5M came from Building the Future, a Leading the Future arm that appeared in October and hasn’t spent on any other federal race. Her opponent calls her “Data Center Darline.”

crypto cryptocurrency AI ArtificialIntelligence USpol
+5 Less USpolitics citationNeededNewsletter SouthCarolina Senate SCSen
South Carolina Senate: Darline Graham (R) vs. Annie Andrews (D) $5.7 million • Lean Republican • From crypto and AI PACs The South Carolina Senate race wasn’t supposed to be competitive. Trump carried the state by 18 points in 2024, and it hasn’t elected a Democrat to the Senate since 1998.10 But then Lindsey Graham died while in office in July and was replaced by his sister Darline, who was appointed by the governor and has never held elected office. Her apparent lack of qualifications, combined with party divisions and strong Democratic fundraising, has made the race surprisingly competitive, and aggregate polls have recently shown Graham leading by just 1.4 points.11
This is the artificial intelligence sector’s biggest bet on a competitive general election race. American Mission, the Republican arm of the Leading the Future PAC network, may have thought they were backing an easy winner with their first expenditure of around $375,000 to back Lindsey Graham in his primary. But since then, it has added more than $2 million to back Darline Graham in her primary runoff election and general election. In mid-October, Leading the Future brought in reinforcements: Building the Future, a new arm of the network created specifically to support pro-data center candidates, has spent $2.5 million supporting her in the general, its only federal spending so far. Crypto’s Fellowship PAC also spent $550,000 to back Lindsey Graham in the primary, but did not show up with additional funds to back his replacement.
Andrews has used the data center issue and Graham’s AI funding to tar her opponent as “Data Center Darline”. While Andrews has called for moratoriums on new data centers in the state, Graham has opposed them, saying they would give China a chance to get ahead on AI development.12 Graham has received just over $48,000 in candidate-specific contributions from crypto and AI executives, mostly from Andreessen Horowitz, the Winklevoss twins, and Microsoft. Andrews has received no crypto- or AI-associated PAC support, and no candidate-specific contributions from the associated companies I track (or their executives).
Molly White @molly0xfff hachyderm.io

Crypto has also stopped spending big for Democrats in general elections. In 2024 it put $10M apiece behind Slotkin and Gallego. This cycle, no Democrat has drawn more than about $1M, and those are safe incumbents who voted the industry’s way.

crypto cryptocurrency AI ArtificialIntelligence USpol
+2 Less USpolitics citationNeededNewsletter
In general elections, the crypto industry has stopped spending big to help Democrats. In 2024, it spent about $10 million apiece helping Democrats Elissa Slotkin and Ruben Gallego win their Senate races. This cycle, its Democratic spending has largely been confined to primaries against other Democrats. Even then, its biggest expenditure in a Democratic primary didn’t help any Democrat in particular: it was $10 million in opposition spending against Juliana Stratton in Illinois’s Senate race. Stratton won anyway, by nearly 8 points. The crypto sector hasn’t spent more than about $1 million helping any Democrat in a general election, and those are mostly rewards to industry allies who will safely win re-election regardless. Its biggest general-election spending supporting Democrats was about $1 million apiece for three incumbents in safe or likely seats: Janelle Bynum (OR-05, Solid D), Steven Horsford (NV-04, Likely D), and Derek Tran (CA-45, Likely D), who all voted for the industry’s top priorities, the Clarity [I110] and Genius Acts [I89].
Molly White @molly0xfff hachyderm.io

But most of the money is backing winners. Crypto and AI PACs spent in 105 contests that were never in doubt, versus 44 competitive ones. The major networks didn’t back a single underdog. This is part of a strategy to buy/reward loyalty and pad the PACs’ win rate.

crypto cryptocurrency AI ArtificialIntelligence USpol
+2 Less USpolitics citationNeededNewsletter
Where the money went $249.5 million · 171 contests† Most dollars went to a few battlegrounds. Most contests were safe seats. Two stacked bar charts comparing spending by tracked crypto- and AI-focused super PACs: $249.5 million across 171 contests. The dollars bar is mostly competitive races at $179.9 million (72%). Safe bets got $43.9 million (18%), likely winners $25 million (10%), and underdogs $741,000 (less than 1%). A bracket marks the Ohio Senate special election, which alone accounts for $64.2 million, or 26% of all spending. The races bar is the reverse: safe bets are 105 races (61%), competitive races 44 (26%), likely winners 20 (12%), and underdogs 2 (1%). Safe bets are 61% of contests but 18% of dollars; competitive contests are 26% of contests but 72% of dollars.
Marcel Sinemus

Googles Diagnose-KI: Chat happens - DocCheck

Bisher überzeugte Googles Medizin-KI AMIE vor allem in Simulationen. Nun führte sie erstmals Anamnesegespräche mit Patienten einer Hausarztpraxis. Die Ergebnisse sind vielversprechend – zeigen aber auch klare Grenzen.

doccheck.com/de/… #Digitalisierung #digitalization #DigitalHealth #ArtificialIntelligence #AI

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Marcel Sinemus

Sehr inspirierender Beitrag, der zum Nachdenken anregt …

Kommentar: #Photoshop per KI nachgebaut – Kopieren ist billig, Entscheiden nicht | Developer heise.de/blog/… #ArtificialIntelligence #AI #SoftwareEngineering #SoftwareDevelopment #ArtCraft #PhotoCraft

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Marcel Sinemus

Choosing Wisely: Kann die KI auch Nein sagen?

Chatbots gelten als notorische «People Pleaser». Doch können sie auch von unnötigen medizinischen Untersuchungen abraten?

pro.medinside.ch/kann-die-ki-auch-nein-… #Digitalisierung #digitalization #DigitalHealth #ArtificialIntelligence #AI

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Paris Marx @parismarx mastodon.online

We’re overbuilding data centres to serve the ambitions of delusion AI CEOs, and that brings real consequences for communities.

I went on The Tech Report to discuss my new book HYPERSCALE and why we can’t let the tech industry chart our collective future.

Watch the interview: youtube.com/watch?v=PzTR8xrCVkU

Grab a copy of the book: hyperscalebook.com

tech datacenters datacentres ai artificialintelligence
+2 Less reading books
Marcel Sinemus

Continuous Architecture: KI zwingt uns dazu, veraltete Dokumentation aufzuräumen | Developer

Im Interview beschreibt Murat Erder, wie KI Softwareentwicklung verändern kann, ohne die grundlegenden Prinzipien guter Architektur außer Kraft zu setzen.

heise.de/hintergrund/… #ArtificialIntelligence #AI #AIagent #AIagents #development #SoftwareEngineering #SoftwareDevelopment

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Marcel Sinemus

Apps sollen gegen Depressionen helfen – was digitale Therapien leisten können | heise online

heise.de/hintergrund/… #Digitalisierung #digitalization #DigitalHealth #eHealth #MentalHealth #MentalHealthSupport #Datenschutz #privacy #ArtificialIntelligence #AI

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Marcel Sinemus

Künstliche Intelligenz: Fünf Fragen, die uns noch beschäftigen werden - medinside[.]ch

Andere Länder sind bei medizinischer KI etwas voraus und zeigen jetzt schon, welche heiklen Fragen auf unser Gesundheitswesen zurollen: vom KI-Rezept bis zur «Battle of the Bots».

medinside.ch/kuenstliche-intelligenz-ki… #Digitalisierung #digitalization #DigitalHealth #ArtificialIntelligence #AI #Datenschutz #privacy

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Marcel Sinemus

Zukunft der Arbeit: KI erweitert menschliche Fähigkeiten | PCtipp

Gartner sieht die Zukunft der Arbeit zunehmend durch die Zusammenarbeit von Mensch und KI geprägt.

pctipp.ch/themen/… #ArtificialIntelligence #AI

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Marcel Sinemus

Personaler prüfen Bewerbungen heimlich mit KI: Das ist der Grund | t3n

Personaler:innen werden von einer unüberwindbaren Menge von KI-generierten Bewerbungen überrumpelt. Im Alltag greifen sie dabei oftmals selbst auf KI-Tools zur Bewertung zurück. Auch dann, wenn diese eigentlich nicht erlaubt sind.

t3n.de/news/… #ArtificialIntelligence #AI #Datenschutz #privacy #DSGVO #GDPR #AIact #ArtificialIntelligenceAct

Marcel Sinemus

🧠 Der Architektur-Turing-Test: Kann KI bessere Architekturentscheidungen treffen als ein Mensch?

Im Softwarearchitektur-Podcast (während der Software Architecture Info Days) wurde ein spannendes Experiment durchgeführt: Drei wichtige Entscheidungen zur Gestaltung einer Software wurden jeweils in einer menschlichen und einer KI-generierten Variante dokumentiert – ohne dass das Publikum wusste, welche Version von wem stammt. 🎙️

🔍 Was wurde getestet?

🧩 Anmeldung von Mitarbeitenden im Reparatursystem einer Velowerkstatt

💻 Wahl der passenden Benutzeroberflächen-Technologie

⚙️ Umgang mit Verfügbarkeit und Abhängigkeit vom Webshop

📊 Das Ergebnis: Zweimal erkannten die Teilnehmenden die KI-Version korrekt, einmal lag man daneben. Inhaltlich war es jedoch fast ein Unentschieden: Fast die Hälfte hielt die KI-Entscheidung für die bessere Lösung. 💡

🤝 Meine wichtigste Erkenntnis: KI ist (momentan!) kein Ersatz für Architekt:innen, Requirements Engineers oder Teams – sondern ein leistungsfähiger Sparringspartner. Sie kann:

📚 Zusammenhänge, bisherige Entscheidungen und Anforderungen schnell erfassen

🔁 Vor- und Nachteile verschiedener Lösungen sichtbar machen

🧭 Denkanstösse liefern, die im eigenen Blind Spot liegen

Aber: (Nicht nur) Architekturentscheidungen bleiben ein gemeinsamer Prozess. Fachwissen, der Austausch mit Beteiligten (Stakeholder), Akzeptanz im Team und die Abwägung konkreter Risiken kann keine KI übernehmen. 🗣️

KI unterstützt – Menschen entscheiden. 🚀

👉 Mehr zum Experiment und den Entscheidungen findet ihr hier:

software-architektur.tv/2026/…

#ArtificialIntelligence #AI #ArchitectureDecisionRecords #ADR #RequirementsEngineering #DigitalTransformation

🤖 Transparenz-Hinweis: Dieser Beitrag wurde mit Unterstützung eines KI-Assistenten erstellt. Die Inhalte, Erfahrungen und Empfehlungen basieren auf meiner eigenen Praxis – die Formulierungshilfe kam von meinem digitalen Kollegen. 😉

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Marcel Sinemus

Wenn die KI entscheidet, wer zum Hautarzt darf - medinside Pro

An zwei britischen Spitälern schickt eine KI einen Teil der Patienten autonom nach Hause – ohne ärztliche Kontrolle. Das schafft zwar Kapazitäten, doch sechs Hautkrebsfälle werden dabei übersehen.

pro.medinside.ch/wenn-die-ki-entscheide… #Digitalisierung #digitalization #DigitalHealth #ArtificialIntelligence #AI #Patientensicherheit #PatientSafety

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