Winbuzzer3d ago

https://winbuzzer.com/2026/01/24/google-deepmind-d4rt-4d-reconstruction-robotics-ar-xcxwbn/

Google DeepMind Launches D4RT for Real-Time 4D Reconstruction

#AI #GoogleDeepMind #Google #D4RT #Robotics #AugmentedReality #WorldModels #PhysicalAI #BigTech #Alphabet

eicker.news ᳇ tech news4d ago
#YannLeCun, a leading #AI #researcher, believes the current focus on #LLMs is misguided and will not solve many pressing problems. He advocates for #worldmodels, a different type of AI that accurately reflects the real world, and is a strong proponent of #opensource AI. #LeCun’s new company, #AMI Labs, will focus on developing world models. https://www.technologyreview.com/2026/01/22/1131661/yann-lecuns-new-venture-ami-labs/?eicker.news #tech #media #news
Yann LeCun’s new venture is a contrarian bet against large language models  

In an exclusive interview, the AI pioneer shares his plans for his new Paris-based company, AMI Labs.

MIT Technology Review
Show threadPaul Schoe5d ago

In this interview with Yann LeCun in MIT's Technology Review he explains why his new company AMI (pronounced 'Amie' in French) steps away from LLMs.

'The reason why a 17-year-old can learn to drive in 20 hrs is that they already know a lot about how the world behaves.

If we want a generally useful domestic robot, we need systems to have a good understanding of the physical world. That’s not going to happen until we have good world models and planning.'

#LeCun #AMI #WorldModels #AI
@dogzilla

TechCrunch | Startup and Technology NewsJan 2

In 2026, AI will move from hype to pragmatism

https://fed.brid.gy/r/https://techcrunch.com/2026/01/02/in-2026-ai-will-move-from-hype-to-pragmatism/

AI Daily PostJan 1

New research shows Nested Learning’s Continuum Memory System lets AI bridge short‑term cues and long‑term understanding, building richer world models without catastrophic forgetting. A leap for continual learning and open‑source AI. Dive in! #NestedLearning #ContinuumMemory #ContinualLearning #WorldModels

🔗 https://aidailypost.com/news/nested-learnings-continuum-memory-system-redefines-ai-memory-2026

Reddit Tech VN BotDec 31

Dự đoán 2026 là năm AI học "hiểu". Sau thông minh (2023), logic (2024), tự hành động (2025), AI sẽ xây dựng "mô hình thế giới" để dự đoán kết quả, thay vì chỉ làm theo kịch bản. Đây là bước tiến từ biết "làm" sang biết "tại sao".

#AI #TríTuệNhânTạo #CôngNghệ #DựĐoán #Technology #Future #WorldModels

https://www.reddit.com/r/singularity/comments/1q09ymj/2026_the_year_ai_learns_to_understand/

Andreas BeckerDec 25
LLMs berechnen nur Wahrscheinlichkeiten, keine Wahrheit. World Models wie Nvidias Cosmos oder Metas V-JEPA ändern dieses Paradigma. Sie lernen interne Simulationen der physischen Welt und Kausalitäten, statt Pixel zu halluzinieren. Das Konzept von 2018 erreicht endlich Marktreife für Robotik. Ist Yann LeCuns Ansatz der einzig logische Weg zum Ziel? #NVIDIA #WorldModels #PhysicalAI
https://www.all-ai.de/news/topbeitraege/world-model-next
World Models erklärt: Warum KI jetzt endlich die echte Physik versteht

Nach ChatGPT kommt der nächste Sprung: Nvidia und Meta lehren Computer das logische Denken in der realen Welt.

All-AI.de
Ben Lorica 罗瑞卡Dec 16

🆕 If someone says “world model,” ask: which kind?
✅ From tokens to environments: what “world model” is trying to mean
→ https://gradientflow.substack.com/p/world-model-is-a-mess-heres-how-to

#AI #ArtificialIntelligence #GenAI #MachineLearning #DeepLearning #WorldModels #SpatialAI #EmbodiedAI #PhysicalAI #Robotics #ComputerVision

"World Model" is a mess. Here’s how to make sense of it.

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Gradient Flow
Ars Technica NewsDec 12
With GWM-1 family of “world models,” Runway shows ambitions beyond Hollywood https://arstechni.ca/aTFt #RunwayGen-4.5 #worldmodels #Robotics #runwayml #Gen-4.5 #Runway #GWM-1 #AI #ML
With GWM-1 family of “world models,” Runway shows ambitions beyond Hollywood

Runway joins a competitive field alongside Google, Nvidia, and others.

Ars Technica
Miguel Afonso CaetanoNov 22

"Today’s eye-popping AI valuations are partly based on the assumption that LLMs are the main game in town — and can only be exploited by the current capex and capital-heavy approach that Big Tech is unleashing.

But when the Chinese company DeepSeek released its models earlier this year, it showed there are ways to build cheaper, scaled-down variants of AI, raising the prospect that LLMs will become commoditised. And LeCun is not the only player who thinks current LLMs might be supplanted.

The tech behemoth IBM says it is developing variants of so-called neuro-symbolic AI. “By augmenting and combining the strengths of statistical AI, like machine learning, with the capabilities of humanlike symbolic knowledge and reasoning, we’re aiming to create a revolution in AI, rather than an evolution,” it explains.

Chinese and western researchers are also exploring variants of neuro-symbolic AI while Fei-Fei Li, the so-called “Godmother of AI”, is developing a world model version called “spatial intelligence”.

None of these alternatives seems ready to fly right now; indeed LeCun acknowledges huge practical impediments to his dream. But if they do ever work, it would raise many questions."

https://www.ft.com/content/e05dc217-40f8-427f-88dc-7548d0211b99

#AI #GenerativeAI #LLMs #NeuroSymbolicAI #WorldModels

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