World Model · podcast knowledge graph

1000 Designs a Day: Neural Concept's Thomas von Tschammer on AI-Native Engineering

2026-07-01 · 89 min · 23 entities

Asserted relationships

  • evidence rules-v4
    Link in episode "1000 Designs a Day: Neural Concept's Thomas von Tschammer on AI-Native Engineering": https://podcasts.apple.com/de/podcast/the-cognitive-revolution-ai-builders-researchers-and/id1669813431
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    Link in episode "1000 Designs a Day: Neural Concept's Thomas von Tschammer on AI-Native Engineering": https://aipodcast.ing/
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    evidence rules-v4
    Link in episode "1000 Designs a Day: Neural Concept's Thomas von Tschammer on AI-Native Engineering": https://youtube.com/@CognitiveRevolutionPodcast
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    evidence rules-v4
    Link in episode "1000 Designs a Day: Neural Concept's Thomas von Tschammer on AI-Native Engineering": https://cognitiverevolution.ai/
  • → references mercury.com website
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    evidence rules-v4
    Link in episode "1000 Designs a Day: Neural Concept's Thomas von Tschammer on AI-Native Engineering": https://mercury.com/

Entities found in this episode

concepts 9

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  • evidence rules-v4
    1000 Designs a Day: Neural Concept's Thomas von Tschammer on AI-Native Engineering
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websites 8

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    evidence rules-v4
    Link in episode "1000 Designs a Day: Neural Concept's Thomas von Tschammer on AI-Native Engineering": https://aipodcast.ing/
  • mentioned @CognitiveRevolutionPodcast website
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    evidence rules-v4
    Link in episode "1000 Designs a Day: Neural Concept's Thomas von Tschammer on AI-Native Engineering": https://youtube.com/@CognitiveRevolutionPodcast
  • mentioned cognitiverevolution.ai website
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    Link in episode "1000 Designs a Day: Neural Concept's Thomas von Tschammer on AI-Native Engineering": https://cognitiverevolution.ai/
  • mentioned mercury.com website
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    Link in episode "1000 Designs a Day: Neural Concept's Thomas von Tschammer on AI-Native Engineering": https://mercury.com/
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    evidence rules-v4
    Link in episode "1000 Designs a Day: Neural Concept's Thomas von Tschammer on AI-Native Engineering": https://aipodcast.ing/
  • references @CognitiveRevolutionPodcast website
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    evidence rules-v4
    Link in episode "1000 Designs a Day: Neural Concept's Thomas von Tschammer on AI-Native Engineering": https://youtube.com/@CognitiveRevolutionPodcast
  • references cognitiverevolution.ai website
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    evidence rules-v4
    Link in episode "1000 Designs a Day: Neural Concept's Thomas von Tschammer on AI-Native Engineering": https://cognitiverevolution.ai/
  • references mercury.com website
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    evidence rules-v4
    Link in episode "1000 Designs a Day: Neural Concept's Thomas von Tschammer on AI-Native Engineering": https://mercury.com/

podcasts 2

  • evidence rules-v4
    Link in episode "1000 Designs a Day: Neural Concept's Thomas von Tschammer on AI-Native Engineering": https://podcasts.apple.com/de/podcast/the-cognitive-revolution-ai-builders-researchers-and/id1669813431
  • evidence rules-v4
    Link in episode "1000 Designs a Day: Neural Concept's Thomas von Tschammer on AI-Native Engineering": https://podcasts.apple.com/de/podcast/the-cognitive-revolution-ai-builders-researchers-and/id1669813431

persons 2

companys 2

  • mentioned Turpentine company
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Episode description as stored
Thomas von Tschammer, co-founder and Managing Director US of Neural Concept, argues that physics-aware AI is driving a third revolution in engineering physical products. Neural Concept’s models learn from simulation and test data to evaluate 3D designs in minutes, helping Jaguar Land Rover move from about 50 external-aerodynamics evaluations per day to 1,500 and enabling battery cool-plate suppliers to cut development cycles while improving performance. The episode explains why AI is not replacing numerical simulation, but shifting it later in the process while expanding early design exploration across automotive, Formula 1, and manufacturing workflows. The stakes are competitive: companies that make engineering iterations AI-led can compress development cycles, while legacy OEMs risk falling further behind faster-moving Chinese and digital-native hardware competitors. For full show notes, links, and references, read the episode page:https://www.cognitiverevolution.ai/1000-designs-a-day-neural-concept-s-thomas-von-tschammer-on-ai-native-engineering/ Mercury: Command is Mercury’s new conversational interface, giving you natural-language access to your finances and helping you take actions within your existing permissions and approval policies. Visit https://mercury.com to learn more and apply online in minutes. Sponsor: Claude: Claude by Anthropic is an AI collaborator that understands your workflow and helps you tackle research, writing, coding, and organization with deep context. Get started with Claude and explore Claude Pro at https://claude.ai/tcr CHAPTERS: (00:00) About the Episode (03:52) Special Sponsor (05:40) AI design revolutions (12:00) Physics models and data (Part 1) (18:40) Sponsor: Claude (20:32) Physics models and data (Part 2) (21:56) Copilots and workflows (33:22) Automation versus engineers (40:39) Industry speed gaps (48:26) Foundation models and racing (58:03) Surprising AI designs (01:06:15) Adoption and differentiation (01:17:02) Robotics and abundance (01:24:36) Episode Outro (01:28:10) Outro PRODUCED BY: https://aipodcast.ing SOCIAL LINKS: Website: https://www.cognitiverevolution.ai Twitter (Podcast): https://x.com/cogrev_podcast Twitter (Nathan): https://x.com/labenz LinkedIn: https://linkedin.com/in/nathanlabenz/ Youtube: https://youtube.com/@CognitiveRevolutionPodcast Apple: https://podcasts.apple.com/de/podcast/the-cognitive-revolution-ai-builders-researchers-and/id1669813431 Spotify: https://open.spotify.com/show/6yHyok3M3BjqzR0VB5MSyk