Harald Klinke

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🙋 https://www.harald-klinke.de/ 📔 https://link.springer.com/book/10.1007/978-3-031-88130-5 #DigitalTransformation #DataScience #AI #Munich

Articles & links

3/3 The future question is not simply whether AI “replaces humans.” It is what happens when execution becomes cheap. Then the scarce resource is judgment: which problems matter, which results count, which systems may improve themselves, and which institutions can still keep up…

When AI builds itself anthropic.com
View on Bluesky · ♥ 1 ↻ 0 ↩ 0 · 18 from the directory shared this · 146d ago

Websites are increasingly becoming: • machine-interpretable identity and knowledge interfaces • primary source layers for AI systems • infrastructures of trust and authority • strategic hubs serving both humans and agents. #AISovereignty #AIInfrastructure #DigitalTransformation

Google Search as you know it is over | TechCrunch techcrunch.com
View on Bluesky · ♥ 1 ↻ 0 ↩ 0 · 9 from the directory shared this · 163d ago

A striking Foreign Affairs piece by Niall Ferguson, Lisa Klaassen & Eric Schmidt: AI is becoming not just a technology stack, but a power stack: chips, energy, compute, capital, models, standards. For Europe, sovereignty cannot stop at “European models.” #AISovereignty #AIInfr…

Empires of AI foreignaffairs.com
AI Weekly's analysis →
  • Niall Ferguson, Lisa Klaassen and Eric Schmidt argue in Foreign Affairs that AI is not a general-purpose technology but an inherently imperial one.
  • They cast China and the United States as the two emergent AI empires, with everyone else positioned as a 'dependent user' of their frontier models.
  • The authors frame TSMC, 90 miles off the Chinese coast, as the chokepoint that would decide American AI supremacy in a Taiwan contingency.
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View on Bluesky · ♥ 4 ↻ 2 ↩ 0 · 4 from the directory shared this · 9d ago
↻ Harald Klinke reposted
Luca Maria Aiello @lajello.bsky.social

In heterogeneous system of AI agents, when agents disagree, who persuades whom? We found: 1) Models easily influence each other 2) Model size/certainty doesn't imply resistance to influence 3) Opinion shift is determined mostly by the resistance of the hearer. Preprint: arxiv.…

Peer Influence across Heterogeneous AI Models arxiv.org
AI Weekly's analysis →
  • Across seven open-weight models and three tasks, a dissenting small model can overturn the judgment of a much larger one.
  • Neither standalone certainty nor model scale reliably predicts how a model behaves inside a multi-agent exchange.
  • The size of a persuasion shift depends more on the listener's susceptibility than on the speaker's persuasiveness.
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What changes when AI learns conversation directly from sound? Block’s Dessa was reportedly trained entirely on human speech. It listens and speaks simultaneously, learning timing, laughter and intonation alongside words. block.xyz/dessa #SpeechAI #MultimodalAI #HumanAIInteraction

Dessa - the Conversation Model trained only on speech block.xyz
View on Bluesky · ♥ 2 ↻ 0 ↩ 2 · 6 from the directory shared this · 5d ago

Recent commentary

Local first. Cloud when needed. Sync between. I believe this will become one of the defining AI architecture principles of the coming years. It combines privacy, resilience, low latency and scalable intelligence. #Qdrant #EdgeAI #AIInfrastructure #AISovereignt

View on Bluesky · ♥ 2 ↻ 1 ↩ 0 · 125d ago

1/3 Anthropic’s “When AI builds itself” describes a striking sequence: 2021–23: humans write code. 2023–25: chatbots suggest snippets. 2025–26: coding agents edit files. Today: agents run code and delegate work. Next? AI systems may help build their own successors.

View on Bluesky · ♥ 2 ↻ 0 ↩ 1 · 146d ago

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