Minimal AGI by Two Thousand Twenty-Eight. AI Playbook for Sustainability. AI Answers Often Wrong. Nvidia Expands Open Source AI.
AGI by 2028: Google DeepMind sees a 50 percent chance.We’re publishing an AI playbook to help others with sustainability reporting.Can one still trust AI answers at all?Nvidia bulks up open source offerings with an acquisition and new open AI models
AI News Daily - Your Daily AI Briefing in 5 Minutes
December 16, 20254m 8s
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Show Notes
AGI by 2028: Google DeepMind sees a 50 percent chance.We’re publishing an AI playbook to help others with sustainability reporting.Can one still trust AI answers at all?Nvidia bulks up open source offerings with an acquisition and new open AI models
The AI news for December 16th, 2025
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Find our more about our today's sponsor Pickert at pickert.de.
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Here are the details of the day's selected top stories:
AGI by 2028: Google DeepMind sees a 50 percent chance.
Source: https://www.all-ai.de/news/news24/agi-50-deepmind
Why did we choose this article?
Shane Legg (DeepMind co-founder) repeating a 50% AGI-by-2028 forecast is strategically important: it forces policymakers, businesses and researchers to treat AGI timelines as imminent and to plan for workforce, safety and governance implications now.
We’re publishing an AI playbook to help others with sustainability reporting.
Source: https://blog.google/outreach-initiatives/sustainability/ai-playbook-sustainability-reporting/
Why did we choose this article?
Practical, vendor-backed guidance for applying AI to sustainability reporting — useful for corporate teams and consultants looking for concrete methods, risk controls, and templates to operationalize AI in ESG workflows.
Can one still trust AI answers at all?
Source: https://www.heise.de/-11114709?wt_mc=rss.red.ho.themen.k%C3%BCnstliche+intelligenz.beitrag.beitrag
Why did we choose this article?
A high-impact credibility finding (81% of AI answers contain errors) that should change how teams validate model outputs, design verification pipelines, and set user expectations — essential operational advice for anyone deploying LLMs.
Nvidia bulks up open source offerings with an acquisition and new open AI models
Source: https://techcrunch.com/2025/12/15/nvidia-bulks-up-open-source-offerings-with-an-acquisition-and-new-open-ai-models/
Why did we choose this article?
Signals a shift: Nvidia is strengthening open-source AI infrastructure (Slurm) and releasing new open models, which affects researchers and enterprises by lowering infrastructure friction and expanding options outside closed ecosystems.
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:
AGI by 2028: Google DeepMind sees a 50 percent chance.
Source: https://www.all-ai.de/news/news24/agi-50-deepmind
Why did we choose this article?
Shane Legg (DeepMind co-founder) repeating a 50% AGI-by-2028 forecast is strategically important: it forces policymakers, businesses and researchers to treat AGI timelines as imminent and to plan for workforce, safety and governance implications now.
We’re publishing an AI playbook to help others with sustainability reporting.
Source: https://blog.google/outreach-initiatives/sustainability/ai-playbook-sustainability-reporting/
Why did we choose this article?
Practical, vendor-backed guidance for applying AI to sustainability reporting — useful for corporate teams and consultants looking for concrete methods, risk controls, and templates to operationalize AI in ESG workflows.
Can one still trust AI answers at all?
Source: https://www.heise.de/-11114709?wt_mc=rss.red.ho.themen.k%C3%BCnstliche+intelligenz.beitrag.beitrag
Why did we choose this article?
A high-impact credibility finding (81% of AI answers contain errors) that should change how teams validate model outputs, design verification pipelines, and set user expectations — essential operational advice for anyone deploying LLMs.
Nvidia bulks up open source offerings with an acquisition and new open AI models
Source: https://techcrunch.com/2025/12/15/nvidia-bulks-up-open-source-offerings-with-an-acquisition-and-new-open-ai-models/
Why did we choose this article?
Signals a shift: Nvidia is strengthening open-source AI infrastructure (Slurm) and releasing new open models, which affects researchers and enterprises by lowering infrastructure friction and expanding options outside closed ecosystems.
Do you have any questions, comments, or suggestions for improvement? We welcome your feedback at [email protected].