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Three AI Shifts for 2026. Apple STARFlow‑V Unveiled. Research Agents Invent Facts. Gelsinger Backs xLight Deal.
DeepMind CEO reveals the three radical AI trends for 2026.Apple shows an alternative to diffusion models for video AI.AI research agents would rather fabricate facts than admit that they do not know something.Pat Gelsinger wants to save Moore’s Law, with a little help from the Feds
The AI news for December 7th, 2025
--- This episode is sponsored by ---
Find our more about our today's sponsor Pickert at pickert.de.
---
Would you like to create your own AI-generated and 100% automated podcast on your chosen topic? --> Reach out to us, and we’ll make it happen.
Here are the details of the day's selected top stories:
DeepMind CEO reveals the three radical AI trends for 2026.
Source: https://www.all-ai.de/news/topbeitraege/deepmind-2026
Why did we choose this article?
Hassabis’ framing — multimodality, interactivity, autonomy — is a concise roadmap for 2026. Useful for product planners, researchers and policy watchers because it signals where investment, safety work, and user expectations should shift (from prompts to agentic systems).
Apple shows an alternative to diffusion models for video AI.
Source: https://the-decoder.de/apple-zeigt-alternative-zu-diffusionsmodellen-fuer-video-ki/
Why did we choose this article?
Technical novelty: Apple’s STARFlow‑V uses normalizing flows instead of diffusion for video, offering a different tradeoff (longer stable clips). Relevant for teams building video generation pipelines and evaluating model families beyond the current diffusion mainstream.
AI research agents would rather fabricate facts than admit that they do not know something.
Source: https://the-decoder.de/ki-rechercheagenten-erfinden-lieber-fakten-als-zuzugeben-dass-sie-etwas-nicht-wissen/
Why did we choose this article?
Empirical warning about hallucinations in 'deep research' agents: ~20% of errors stem from invented facts. Immediate takeaway for teams using automated research or due-diligence tools — add verification, provenance checks and human-in-the-loop review.
Pat Gelsinger wants to save Moore’s Law, with a little help from the Feds
Source: https://techcrunch.com/2025/12/06/pat-gelsinger-wants-to-save-moores-law-with-a-little-help-from-the-feds/
Why did we choose this article?
Industry and policy angle: Intel’s push (with federal support) to reboot chip scaling affects AI hardware supply and national strategy. Practical implications for procurement, timelines for next‑gen silicon, and expectations for capacity increases by the late 2020s.
Do you have any questions, comments, or suggestions for improvement? We welcome your feedback at [email protected].
--- This episode is sponsored by ---
Find our more about our today's sponsor Pickert at pickert.de.
---
Would you like to create your own AI-generated and 100% automated podcast on your chosen topic? --> Reach out to us, and we’ll make it happen.
Here are the details of the day's selected top stories:
DeepMind CEO reveals the three radical AI trends for 2026.
Source: https://www.all-ai.de/news/topbeitraege/deepmind-2026
Why did we choose this article?
Hassabis’ framing — multimodality, interactivity, autonomy — is a concise roadmap for 2026. Useful for product planners, researchers and policy watchers because it signals where investment, safety work, and user expectations should shift (from prompts to agentic systems).
Apple shows an alternative to diffusion models for video AI.
Source: https://the-decoder.de/apple-zeigt-alternative-zu-diffusionsmodellen-fuer-video-ki/
Why did we choose this article?
Technical novelty: Apple’s STARFlow‑V uses normalizing flows instead of diffusion for video, offering a different tradeoff (longer stable clips). Relevant for teams building video generation pipelines and evaluating model families beyond the current diffusion mainstream.
AI research agents would rather fabricate facts than admit that they do not know something.
Source: https://the-decoder.de/ki-rechercheagenten-erfinden-lieber-fakten-als-zuzugeben-dass-sie-etwas-nicht-wissen/
Why did we choose this article?
Empirical warning about hallucinations in 'deep research' agents: ~20% of errors stem from invented facts. Immediate takeaway for teams using automated research or due-diligence tools — add verification, provenance checks and human-in-the-loop review.
Pat Gelsinger wants to save Moore’s Law, with a little help from the Feds
Source: https://techcrunch.com/2025/12/06/pat-gelsinger-wants-to-save-moores-law-with-a-little-help-from-the-feds/
Why did we choose this article?
Industry and policy angle: Intel’s push (with federal support) to reboot chip scaling affects AI hardware supply and national strategy. Practical implications for procurement, timelines for next‑gen silicon, and expectations for capacity increases by the late 2020s.
Do you have any questions, comments, or suggestions for improvement? We welcome your feedback at [email protected].
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By Pickert GmbHDeepMind CEO reveals the three radical AI trends for 2026.Apple shows an alternative to diffusion models for video AI.AI research agents would rather fabricate facts than admit that they do not know something.Pat Gelsinger wants to save Moore’s Law, with a little help from the Feds
The AI news for December 7th, 2025
--- This episode is sponsored by ---
Find our more about our today's sponsor Pickert at pickert.de.
---
Would you like to create your own AI-generated and 100% automated podcast on your chosen topic? --> Reach out to us, and we’ll make it happen.
Here are the details of the day's selected top stories:
DeepMind CEO reveals the three radical AI trends for 2026.
Source: https://www.all-ai.de/news/topbeitraege/deepmind-2026
Why did we choose this article?
Hassabis’ framing — multimodality, interactivity, autonomy — is a concise roadmap for 2026. Useful for product planners, researchers and policy watchers because it signals where investment, safety work, and user expectations should shift (from prompts to agentic systems).
Apple shows an alternative to diffusion models for video AI.
Source: https://the-decoder.de/apple-zeigt-alternative-zu-diffusionsmodellen-fuer-video-ki/
Why did we choose this article?
Technical novelty: Apple’s STARFlow‑V uses normalizing flows instead of diffusion for video, offering a different tradeoff (longer stable clips). Relevant for teams building video generation pipelines and evaluating model families beyond the current diffusion mainstream.
AI research agents would rather fabricate facts than admit that they do not know something.
Source: https://the-decoder.de/ki-rechercheagenten-erfinden-lieber-fakten-als-zuzugeben-dass-sie-etwas-nicht-wissen/
Why did we choose this article?
Empirical warning about hallucinations in 'deep research' agents: ~20% of errors stem from invented facts. Immediate takeaway for teams using automated research or due-diligence tools — add verification, provenance checks and human-in-the-loop review.
Pat Gelsinger wants to save Moore’s Law, with a little help from the Feds
Source: https://techcrunch.com/2025/12/06/pat-gelsinger-wants-to-save-moores-law-with-a-little-help-from-the-feds/
Why did we choose this article?
Industry and policy angle: Intel’s push (with federal support) to reboot chip scaling affects AI hardware supply and national strategy. Practical implications for procurement, timelines for next‑gen silicon, and expectations for capacity increases by the late 2020s.
Do you have any questions, comments, or suggestions for improvement? We welcome your feedback at [email protected].
--- This episode is sponsored by ---
Find our more about our today's sponsor Pickert at pickert.de.
---
Would you like to create your own AI-generated and 100% automated podcast on your chosen topic? --> Reach out to us, and we’ll make it happen.
Here are the details of the day's selected top stories:
DeepMind CEO reveals the three radical AI trends for 2026.
Source: https://www.all-ai.de/news/topbeitraege/deepmind-2026
Why did we choose this article?
Hassabis’ framing — multimodality, interactivity, autonomy — is a concise roadmap for 2026. Useful for product planners, researchers and policy watchers because it signals where investment, safety work, and user expectations should shift (from prompts to agentic systems).
Apple shows an alternative to diffusion models for video AI.
Source: https://the-decoder.de/apple-zeigt-alternative-zu-diffusionsmodellen-fuer-video-ki/
Why did we choose this article?
Technical novelty: Apple’s STARFlow‑V uses normalizing flows instead of diffusion for video, offering a different tradeoff (longer stable clips). Relevant for teams building video generation pipelines and evaluating model families beyond the current diffusion mainstream.
AI research agents would rather fabricate facts than admit that they do not know something.
Source: https://the-decoder.de/ki-rechercheagenten-erfinden-lieber-fakten-als-zuzugeben-dass-sie-etwas-nicht-wissen/
Why did we choose this article?
Empirical warning about hallucinations in 'deep research' agents: ~20% of errors stem from invented facts. Immediate takeaway for teams using automated research or due-diligence tools — add verification, provenance checks and human-in-the-loop review.
Pat Gelsinger wants to save Moore’s Law, with a little help from the Feds
Source: https://techcrunch.com/2025/12/06/pat-gelsinger-wants-to-save-moores-law-with-a-little-help-from-the-feds/
Why did we choose this article?
Industry and policy angle: Intel’s push (with federal support) to reboot chip scaling affects AI hardware supply and national strategy. Practical implications for procurement, timelines for next‑gen silicon, and expectations for capacity increases by the late 2020s.
Do you have any questions, comments, or suggestions for improvement? We welcome your feedback at [email protected].