The billion-dollar business with user data | c't uplinkTrump administration might not fight state AI regulations after allGoogle's new learning model aims to stop catastrophic forgetting in AI systems.Researchers are tinkering with websites for AI agents.

The AI news for November 23rd, 2025

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Here are the details of the day's selected top stories:

The billion-dollar business with user data | c't uplink
Source: https://www.heise.de/news/Das-Milliardengeschaeft-mit-den-Nutzerdaten-c-t-uplink-11087698.html?wt_mc=rss.red.ho.themen.k%C3%BCnstliche+intelligenz.beitrag.beitrag
Why did we choose this article?
Clear, practical look at the economics and mechanics of the data-collection business that powers many AI products. Useful for listeners who need to understand privacy risks, data provenance, and why data labeling/behavioral profiles matter for model performance and regulation.

Trump administration might not fight state AI regulations after all
Source: https://techcrunch.com/2025/11/22/trump-administration-might-not-fight-state-ai-regulations-after-all/
Why did we choose this article?
Timely policy signal: federal-state dynamics will shape how AI is governed in practice. Important for product teams, compliance officers, and policy-minded listeners to track whether states will be free to experiment with regulation and how that affects deployment strategies.

Google's new learning model aims to stop catastrophic forgetting in AI systems.
Source: https://the-decoder.de/neues-lernmodell-von-google-soll-katastrophales-vergessen-in-ki-systemen-stoppen/
Why did we choose this article?
Technical but high-impact research: addresses continual learning and catastrophic forgetting — a key limitation for systems that must adapt over time. Good for engineering leads and researchers who plan for long-lived models or on-device personalization.

Researchers are tinkering with websites for AI agents.
Source: https://the-decoder.de/forscher-basteln-an-webseiten-fuer-ki-agenten/
Why did we choose this article?
Practical engineering advance that could make web-enabled agents more reliable and safe by adding explicit semantics for agent actions. Direct implications for product teams building agent integrations and for web developers who may need to adopt new standards.

Do you have any questions, comments, or suggestions for improvement? We welcome your feedback at [email protected].

Meta's new AI model SAM 3 connects language and vision more flexibly than before.OpenAI under pressure: New AI model 'Shallotpeat' is expected to close Google's leadOpenAI report will show how GPT-5 already saves researchers hours of work today.AI data centers: Sudden boom in Germany

The AI news for November 22nd, 2025

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Here are the details of the day's selected top stories:

Meta's new AI model SAM 3 connects language and vision more flexibly than before.
Source: https://the-decoder.de/metas-neues-ki-modell-sam-3-verbindet-sprache-und-vision-flexibler-als-zuvor/
Why did we choose this article?
Major multimodal release: SAM 3 promises stronger image+video segmentation with a mixed human/AI annotation approach. Important for anyone building visual understanding, annotation pipelines, or multimodal products—watch for improved segmentation quality and new annotation workflows.

OpenAI under pressure: New AI model 'Shallotpeat' is expected to close Google's lead
Source: https://the-decoder.de/openai-unter-druck-neues-ki-modell-shallotpeat-soll-googles-vorsprung-aufholen/
Why did we choose this article?
Signals shifting competitive dynamics: an internal OpenAI memo about 'Shallotpeat' highlights how top labs are racing to respond to Gemini 3. Useful to track for implications on model capabilities, release cadence, and where R&D focus may shift across the ecosystem.

OpenAI report will show how GPT-5 already saves researchers hours of work today.
Source: https://the-decoder.de/openai-bericht-will-zeigen-wie-gpt-5-forschern-heute-schon-stunden-an-arbeit-spart/
Why did we choose this article?
Practical evidence of impact: the report documents real research workflows where GPT-5 speeds up tasks and also reveals limitations. Valuable for teams assessing where to pilot large-model assistance in science and research processes.

AI data centers: Sudden boom in Germany
Source: https://www.heise.de/hintergrund/KI-Rechenzentren-Ploetzlicher-Boom-in-Deutschland-11083928.html?wt_mc=rss.red.ho.themen.k%C3%BCnstliche+intelligenz.beitrag_plus.beitrag_plus
Why did we choose this article?
Infrastructure trend with consequences: a €25+ billion investment surge in German data centers affects availability, energy use, regional supply chains, and regulatory debates. Important for planners, startups, and policymakers anticipating deployment costs and sustainability trade-offs.

Do you have any questions, comments, or suggestions for improvement? We welcome your feedback at [email protected].

Nano Banana (2) Pro is available everywhere.Real intelligence instead of text: LeCun's radical new beginning without Meta.DeepMind steals Boston Dynamics' head.Totally crazy! Your brain has no more secrets.

The AI news for November 21st, 2025

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Here are the details of the day's selected top stories:

Nano Banana (2) Pro is available everywhere.
Source: https://www.all-ai.de/news/top-news24/nano-banana-pro-2
Why did we choose this article?
Konkrete, sofort nutzbare Fortschritte für Bildschaffende: besseres Text-Rendering, konsistente Charaktere und 4K-Ausgabe samt Echtzeit-Search-Integration sind echte Produktivitätsgewinne für Designer, Regisseure und Kreativ-Workflows — plus SynthID-Wasserzeichen als wichtiger Vertrauensmechanismus.

Real intelligence instead of text: LeCun's radical new beginning without Meta.
Source: https://www.all-ai.de/news/news24/lecun-meta-neu
Why did we choose this article?
Strategisch wichtig: LeCun verlässt Meta to pursue AMI—a clear signal that top researchers see limits in pure LLM scaling and are shifting toward world models, memory and planning. Practical takeaway for researchers and product teams: expect new architectures and startups targeting causal, embodied intelligence.

DeepMind steals Boston Dynamics' head.
Source: https://www.all-ai.de/news/top-news24/deepmind-boston-roboter
Why did we choose this article?
High-impact personnel move: DeepMind hiring Boston Dynamics' ex-CTO signals a push to turn Gemini into a real-time, multimodal robot control platform — potentially the Android-for-robots moment. Important for product teams, robotics startups and policymakers tracking safety, latency and deployment risks.

Totally crazy! Your brain has no more secrets.
Source: https://www.all-ai.de/news/topbeitraege/ki-gehirn-geheimnisse
Why did we choose this article?
Breakthrough with heavy ethical stakes: FDA-cleared BCI trials that predict preconscious thoughts are a major medical and societal development. Essential for listeners to understand both therapeutic potential and urgent policy/privacy implications (e.g., MIND Act).

Do you have any questions, comments, or suggestions for improvement? We welcome your feedback at [email protected].

No AI bubble, but an LLM disaster?Nvidia’s record $57B revenue and upbeat forecast quiets AI bubble talkOpenAI's new code model GPT-5.1-Codex-Max is supposed to work on a task for longer than a day.New AI agent learns to use CAD to create 3D objects from sketches

The AI news for November 20th, 2025

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Here are the details of the day's selected top stories:

No AI bubble, but an LLM disaster?
Source: https://www.all-ai.de/news/news24/llm-blase-desaster
Why did we choose this article?
Differentiates hype from real value: Hugging Face's CEO argues the market risk is concentrated in LLM text play, not all AI. Useful strategic signal for founders, investors and product teams to favour specialization and efficiency over chasing giant, costly general models.

Nvidia’s record $57B revenue and upbeat forecast quiets AI bubble talk
Source: https://techcrunch.com/2025/11/19/nvidias-record-57b-revenue-and-upbeat-forecast-quiets-ai-bubble-talk/
Why did we choose this article?
High-impact industry indicator: Nvidia's massive revenue and forward guidance change the market narrative about an AI bubble. Practical takeaway: demand for AI compute remains strong, which affects hiring, infrastructure strategy and startup viability in compute-heavy domains.

OpenAI's new code model GPT-5.1-Codex-Max is supposed to work on a task for longer than a day.
Source: https://the-decoder.de/openais-neues-code-modell-gpt-5-1-codex-max-soll-laenger-als-einen-tag-an-einer-aufgabe-arbeiten/
Why did we choose this article?
Technical leap with practical implications: a code model designed for long-horizon tasks could materially change software development workflows and automation. Relevant for engineering leaders, tool builders and anyone evaluating AI-assisted developer productivity.

New AI agent learns to use CAD to create 3D objects from sketches
Source: https://news.mit.edu/2025/new-ai-agent-learns-use-cad-create-3d-objects-sketches-1119
Why did we choose this article?
Concrete productivity gain: shows AI moving from text to manipulating domain-specific tools (CAD). Practical for product designers and engineering teams — potential to speed prototyping, lower skill barriers, and augment training.

Do you have any questions, comments, or suggestions for improvement? We welcome your feedback at [email protected].

Gemini 3 Release: All features from benchmarks to antigravityGoogle vs. Meta: Two Strategies in the Fight Against AI LawsuitsGrok 4.1 takes first place.Cloudflare acquires Replicate along with its 50,000 AI models.

The AI news for November 19th, 2025

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Here are the details of the day's selected top stories:

Gemini 3 Release: All features from benchmarks to antigravity
Source: https://www.all-ai.de/news/top-news24/gemini3-release
Why did we choose this article?
Major Google model release with top benchmark results, a new slower 'Deep Think' mode, an 'Antigravity' developer environment and direct Search + UI integration. Strategic impact: changes how models are embedded in products, enables more autonomous developer agents, and shifts competitive dynamics; practical takeaway: expect immediate Search behavior changes and new automation capabilities to test.

Google vs. Meta: Two Strategies in the Fight Against AI Lawsuits
Source: https://www.all-ai.de/news/topbeitraege/google-meta-recht
Why did we choose this article?
High-stakes legal contrast: Google fights a defamation suit while Meta settled. This case could set precedent on liability for user‑prompted AI hallucinations and change incentives for settling versus litigating; practical implication: product, legal and safety teams must revisit user-mitigation, logging, and terms to manage emerging legal risk.

Grok 4.1 takes first place.
Source: https://www.all-ai.de/news/news24/grok-rang1
Why did we choose this article?
xAI's Grok 4.1 climbs to the top of LMArena's Text leaderboard and claims major reductions in hallucinations plus gains in creative/emotional writing. Practical takeaway: a competitive, freely accessible alternative for creative content and drafting that’s worth evaluating against other mainstream models.

Cloudflare acquires Replicate along with its 50,000 AI models.
Source: https://the-decoder.de/cloudflare-uebernimmt-replicate-mit-deren-50-000-ki-modellen/
Why did we choose this article?
Significant infrastructure consolidation: Cloudflare acquiring Replicate (50k models) signals easier access to many models at the edge and potential shifts in model distribution, latency and cost. Practical implications: ops and product teams should reassess deployment, vendor risk and opportunities for rapid prototyping using hosted model catalogs.

Do you have any questions, comments, or suggestions for improvement? We welcome your feedback at [email protected].

Jeff Bezos is back with the six-billion Prometheus project.100,000 AI chips for BrandenburgThe end of the old weather apps?Meta: AI or termination?

The AI news for November 18th, 2025

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Here are the details of the day's selected top stories:

Jeff Bezos is back with the six-billion Prometheus project.
Source: https://www.all-ai.de/news/topbeitraege/jeff-bezos-prometheus
Why did we choose this article?
Massive funding (US$6.2B) + Bezos as co-CEO marks a strategic shift from consumer chatbots to industrial, engineering and aerospace AI. Relevant for listeners tracking where capital and talent are moving, and for companies that may partner with or compete against such industrial AI efforts.

100,000 AI chips for Brandenburg
Source: https://www.all-ai.de/news/news24/brandenburg-lidl-ki
Why did we choose this article?
A landmark €11B investment by Schwarz Group to build a 100,000-GPU, 200MW AI datacenter in Germany has big implications: European compute sovereignty, green-powered infrastructure, and new capacity for training large models—relevant to regulators, enterprises seeking local cloud options, and hardware market watchers.

The end of the old weather apps?
Source: https://www.all-ai.de/news/news24/wetter-google-v2
Why did we choose this article?
WeatherNext 2 from DeepMind promises 8x faster, hour-resolution, probabilistic forecasts with much higher accuracy—important for energy trading, disaster response and any application that needs fast, reliable short-term weather predictions. Watch for access, validation, and integration into critical systems.

Meta: AI or termination?
Source: https://www.all-ai.de/news/news24/meta-ki-mitarbeiter
Why did we choose this article?
Meta tying employee evaluations to an explicit 'AI-Impact' metric signals how workplace expectations are shifting—practical implications for employees (document AI use, upskill), HR leaders (measurement and fairness challenges), and companies watching cultural change as AI becomes a core productivity metric.

Do you have any questions, comments, or suggestions for improvement? We welcome your feedback at [email protected].

AI researcher deciphers Alzheimer's.How much of the AI data center boom will be powered by renewable energy?Google upgrades the Gemini app with a new multi-image control for AI videos.The AI model DeepEyesV2 uses tools instead of knowledge - and outperforms larger competitors.

The AI news for November 17th, 2025

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Here are the details of the day's selected top stories:

AI researcher deciphers Alzheimer's.
Source: https://www.all-ai.de/news/topbeitraege/ki-forscher-kosmos
Why did we choose this article?
High-impact example of an 'AI scientist' that reproduces and extends biomedical and materials studies (including Alzheimer-related analysis). Important for researchers and product teams to understand opportunities and validation needs when AI systems propose scientific discoveries.

How much of the AI data center boom will be powered by renewable energy?
Source: https://techcrunch.com/2025/11/16/how-much-of-the-ai-data-center-boom-will-be-powered-by-renewable-energy/
Why did we choose this article?
Frames the macro challenge of AI infrastructure: massive recent spending on data centers and the resulting energy demand. Useful for strategists, sustainability teams, and policymakers weighing renewable integration, grid impacts, and where efficiency or policy interventions will matter most.

Google upgrades the Gemini app with a new multi-image control for AI videos.
Source: https://the-decoder.de/google-ruestet-gemini-app-mit-neuer-mehrbild-steuerung-fuer-ki-videos-auf/
Why did we choose this article?
Practical product update improving multimodal control: multiple reference images for video input increases fidelity and creative control for video generation. Signals how user-facing apps are evolving to give creators finer-grained prompts and workflows.

The AI model DeepEyesV2 uses tools instead of knowledge - and outperforms larger competitors.
Source: https://the-decoder.de/ki-modell-deepeyesv2-nutzt-werkzeuge-statt-wissen-und-schlaegt-groessere-konkurrenz/
Why did we choose this article?
Demonstrates an important trend: smaller/open models outperforming larger ones through tool use (code execution, web access). Practical takeaway for builders: tool-augmented architectures can be cost-effective and are immediately usable (Apache-2.0), so consider tool integration before pure scale.

Do you have any questions, comments, or suggestions for improvement? We welcome your feedback at [email protected].

The GPT-5.1 Secret CodeClaude improves API for developers.Researchers design lifelong AI memory: From Context Engineering to the Semantic Operating System.Anthropic teaches the Claude chatbot more conservative viewpoints.

The AI news for November 16th, 2025

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Here are the details of the day's selected top stories:

The GPT-5.1 Secret Code
Source: https://www.all-ai.de/news/news24/gpt-5-1-prompt-guide
Why did we choose this article?
Wichtig für Entwickler: detaillierter Prompt-Guide mit neuen Steuerungsoptionen (Ton, adaptives Reasoning), plus Dev‑Tools (apply_patch, shell) und Metaprompting — praktische Auswirkungen auf Zuverlässigkeit und Integrationen.

Claude improves API for developers.
Source: https://www.all-ai.de/news/news24/claude-api-entwickler
Why did we choose this article?
Konkreter, sofort nutzbarer Fortschritt für Entwickler: garantiert valide JSON-Ausgaben beseitigen häufige Integrationsfehler und reduzieren Engineering-Aufwand bei Tool‑ und API‑Automation.

Researchers design lifelong AI memory: From Context Engineering to the Semantic Operating System.
Source: https://the-decoder.de/forschende-traeumen-von-lebenslangem-ki-gedaechtnis-vom-context-engineering-zum-semantischen-betriebssystem/
Why did we choose this article?
Strategisch wichtig: beschreibt Forschung zu dauerhafter, dynamischer Kontextverwaltung ('semantic OS'), relevant für Produktarchitekturen, personalisierte assistants und langfristige data governance.

Anthropic teaches the Claude chatbot more conservative viewpoints.
Source: https://the-decoder.de/anthropic-bringt-chatbot-claude-mehr-konservative-sichtweisen-bei/
Why did we choose this article?
Erhellend für Produkt- und Richtlinienentscheider: zeigt, wie Anbieter politische Ausgewogenheit technisch messen und anpassen — mit Folgen für Moderation, fairness und regulatorische Compliance.

Do you have any questions, comments, or suggestions for improvement? We welcome your feedback at [email protected].

The GPT-5.1 secret codeClaude improves the API for developers.Researchers design lifelong AI memory: From Context Engineering to the semantic operating systemAnthropic teaches Chatbot Claude more conservative viewpoints.

The AI news for November 16th, 2025

--- This episode is sponsored by ---

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Here are the details of the day's selected top stories:

The GPT-5.1 secret code
Source: https://www.all-ai.de/news/news24/gpt-5-1-prompt-guide
Why did we choose this article?
Praktisch und technisch relevant: beschreibt OpenAI's new prompting guide and developer tools (apply_patch, shell) plus a Metaprompting approach that reduces coding errors. Useful for engineers and product teams planning to integrate or govern GPT-5.1—high novelty and concrete implications for control, reliability and automation.

Claude improves the API for developers.
Source: https://www.all-ai.de/news/news24/claude-api-entwickler
Why did we choose this article?
Developer-focused and actionable: Anthropic's Structured Outputs solve a common integration pain—guaranteed schema-compliant JSON—reducing parsing errors and simplifying multi-step toolchains. Important for engineers building reliable production systems with Claude models.

Researchers design lifelong AI memory: From Context Engineering to the semantic operating system
Source: https://the-decoder.de/forschende-traeumen-von-lebenslangem-ki-gedaechtnis-vom-context-engineering-zum-semantischen-betriebssystem/
Why did we choose this article?
Strategically significant research: proposes a 'Semantic Operating System' for lifelong AI memory—managing context across decades with add/change/forget capabilities. Important for product leaders and researchers thinking about long-term user models, personalization, data governance and privacy implications.

Anthropic teaches Chatbot Claude more conservative viewpoints.
Source: https://the-decoder.de/anthropic-bringt-chatbot-claude-mehr-konservative-sichtweisen-bei/
Why did we choose this article?
Policy and bias monitoring in practice: covers a new Anthropic tool for measuring ideological balance in Claude. Useful for teams and policymakers concerned with political neutrality, bias measurement, and transparency techniques in deployed chatbots.

Do you have any questions, comments, or suggestions for improvement? We welcome your feedback at [email protected].

Leaked documents shed light into how much OpenAI pays MicrosoftAnthropic uncovers the first largely AI-powered espionage campaign.Gain AI Act: Tech giants want to secure preferential access to chipsGoogle: AI agent Sima 2 plays 'Minecraft' and 'Satisfactory'

The AI news for November 15th, 2025

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Here are the details of the day's selected top stories:

Leaked documents shed light into how much OpenAI pays Microsoft
Source: https://techcrunch.com/2025/11/14/leaked-documents-shed-light-into-how-much-openai-pays-microsoft/
Why did we choose this article?
A high-impact business story with direct implications for AI pricing, profitability and the economics of model deployment. Useful for managers and technologists deciding on cloud vs. on-prem inference, contract negotiation, and assessing vendor leverage.

Anthropic uncovers the first largely AI-powered espionage campaign.
Source: https://the-decoder.de/anthropic-deckt-erste-weitgehend-ki-gesteuerte-spionagekampagne-auf/
Why did we choose this article?
A major security signal: AI models being embedded into large-scale espionage changes attacker capabilities. Essential reading for security teams, policy makers and anyone responsible for threat modelling or incident response planning.

Gain AI Act: Tech giants want to secure preferential access to chips
Source: https://the-decoder.de/gain-ai-act-tech-giganten-wollen-bevorzugten-zugang-zu-chips-sichern/
Why did we choose this article?
Policy and supply-chain story with strategic consequences: chip access shapes who can build advanced AI. Important for executives, researchers and policy watchers assessing geopolitical risk, hardware strategy, and long-term competitiveness.

Google: AI agent Sima 2 plays 'Minecraft' and 'Satisfactory'
Source: https://www.heise.de/news/Google-KI-Agent-Sima-2-trainiert-in-Videospielen-fuer-die-echte-Welt-11078332.html?wt_mc=rss.red.ho.themen.k%C3%BCnstliche+intelligenz.beitrag.beitrag
Why did we choose this article?
Research-forward item showing how large-scale simulated environments (games) are used to teach transferable skills. Practical for teams exploring simulation-based training, transfer learning, and scalable agent development — plus it raises questions about evaluation and real-world deployment safety.

Do you have any questions, comments, or suggestions for improvement? We welcome your feedback at [email protected].