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knowledge-base/wiki/institutions/deepmind.md
Hector 0e02fdbd59 feat: people-pages for all TODO institutions markers 
- Created 27 new people-pages for all TODO-marked persons
- Replaced all TODO: people-page markers with wiki-links in institutions
- Cross-referenced back to institutions from each people-page
- 0 TODO markers remaining

New people-pages:
  shayne-coplan, jim-zemlin, wang-changhu, yang-bingyang, demis-hassabis,
  clement-delangue, thomas-kurian, fei-fei-li, christopher-manning,
  sam-altman, ilya-sutskever, moritz-kaminski, elon-musk, nicolas-burtey,
  elizabeth-stark, olaoluwa-osuntokun, jan-leike, oren-etzioni,
  ali-farhadi, jaime-sevilla, max-tegmark, daniela-rus, jared-kaplan,
  alex-atallah, andrew-moore, tuomas-sandholm, mitchell-baker
2026-06-25 21:44:25 +02:00

1.4 KiB
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created: 2026-06-24 updated: 2026-06-24 sources: [raw/youtube/2026-06-16_deepmind-two-steps-ahead.md, raw/youtube/2026-06-18_deepmind-beyond-transformer.md] tags: [institution, deepmind]

Google DeepMind

Profil

Feld Wert
Typ KI-Forschungslabor (Alphabet Inc.)
Fokus Post-Transformer-Architekturen, hybride Lernmodelle, Weltmodelle (VEO) und wissenschaftliche Durchbrüche (AlphaFold).
Wichtigste Personen [[../people/demis-hassabis.md
Homepage https://deepmind.google/
Zugehörige Tools/Modelle Griffin, Recurrent-Gemma, Titans, Gemma 4 Edge
Primäre Quellen raw/youtube/2026-06-16_deepmind-two-steps-ahead.md, raw/youtube/2026-06-18_deepmind-beyond-transformer.md

Fokus & Aktivitäten

Google DeepMind kombiniert Alphabets führende Forschungs-Ressourcen. Im Sommer 2026 verfolgt DeepMind eine strategische Gegenposition zu reinen Auto-Regressiven Scaling-Labs wie OpenAI/Anthropic und setzt auf vier technologische Säulen: Hybride aus Attention und Recurrence, Diffusions-LLMs, physische Weltmodelle (VEO) und Continual-Learning-Systeme.

Cross-References