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The People Who Build Don't Understand. | CrewAI GitHub Copilot app for Beginners: Write your first prompt Disney: Die Renaissance und das Imperium Reconstructing how OpenAI agents attacked Hugging Face Der Philosophen-CEO | Clay-Gründer Kareem Amin Why Agentic Systems Need Ontologies — Frank Coyle, UC Berkeley Yash Poojary über die Automatisierung von Wachstumsexperimenten bei Every Chris Pedregal über Startups und Arbeit jenseits von Meeting-Notizen Tarek Mansour von Kalshi gegen die Bundesregierung Harness Engineering for Self-Improvement Cartesia | A Guide to Choosing Voice AI Models The Walt Disney Company Demis Hassabis on Scientific Discovery and Personal Agency Jean-Baptiste Kempf über Open-Source-Codequalität, Wartung und sichere Builds How to make remarkable videos with Seedance 2.0 – Replicate blog Jensen Huang über Sicherheit von KI-Agenten, Führung und Vertrauen Orchestrating Self-Evolving Agents with CrewAI and NVIDIA NemoClaw | CrewAI Palo Alto Networks mit Nir Zuk & Nikesh Arora – Der Groll, der die Cybersicherheit veränderte Bolt mit Markus Villig – vom Bootstrapping in Estland zum weltweit führenden Mobilitätsanbieter Supercell mit Ilkka Paananen – Wie ein früher Pivot zu ‚Clash of Clans‘ und ‚Brawl Stars‘ führte Lyft CEO David Risher on paying drivers more and the shift to robotaxis Trade Winds: The Rise, Reckoning and Reimagining of Vlad Tenev | Index Ventures 12-Factor Agents: Patterns of reliable LLM applications — Dex Horthy, HumanLayer Gen AI Present and Future: A Conversation with Jim Swanson, CIO at Johnson & Johnson | Greylock Dario Amodei, Amanda Askell und Chris Olah über KI-Entwicklung und Sicherheit Duolingo CEO Luis von Ahn thinks AI has a lot to teach us Pieter Levels über das Bootstraping von Startups, KI-Bildmodelle und Indie-Entwicklung Runway Research | Introducing General World Models ErscheinungsjahrAlle Daten 2026 2025 2024 2023 Diese Sammlung filtern 1 Personen · 1 Quellen · 1 geäußerte Meinungen
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AI security Einen Standpunkt auswählen und das Originalgespräch nachverfolgen.
Jim Swanson 14. März 2025
Secure enclaves and vetted-data AI infrastructure Quellenevidenz lesen ↗ IM KONTEXT AI security 1 ausgedrückte Meinungen
01 Secure enclaves and vetted-data AI infrastructure Jim Swanson 2025-03-14 Gleich große Sektoren dienen der Orientierung, nicht der Rangfolge.
01 Secure enclaves and vetted-data AI infrastructure Jim Swanson · 2025-03-14 Standpunkte 1–1 von 1 · Neueste Quellen zuerst
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Ausgewählter Standpunkt
Secure enclaves and vetted-data AI infrastructure J&J mitigates AI security risks by deploying large and small language models within secure internal enclaves, using only vetted and curated data, restricting public generative AI use via policy, and requiring expert review—from security and architecture teams—for every proposed generative AI use case.
Dies sind individuelle Standpunkte, keine Messung einer Übereinstimmung. Das Quellenmaterial bleibt in der Originalsprache.
Stützende Belege
Jim Swanson · 14. März 2025
Gen AI Present and Future: A Conversation with Jim Swanson, CIO at Johnson & Johnson | Greylock Originalauszug
To defend against threats, we’ve created secure enclaves within the company for our large and small language models, and use vetted, curated data. Additionally, we created policies that educate our employees on the risks and restrictions around use of public Gen AI and direct them towards use of our internal generative AI application. We also review every proposed Gen AI use case through a process that includes security and architecture experts. Quelle & Kontext
Die Daten beziehen sich auf Quellen, nicht auf Änderungen der Überzeugung. Texte ohne geprüfte Übersetzung bleiben in ihrer Originalsprache.