In 2026, AI will move from hype to pragmatism
In 2026, AI will move from hype to pragmatism
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
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/
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
🆕 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
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
"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
Who would have guessed we would witness an AGI beef between Marcus and LeCun before the end of 2025? :-D
"LeCun has not been right about everything, or even consistent in his own views over time, particularly with respect to LLMs (see below). In many of the things that he is now challenging, he is far from alone, though the headlines sometimes paint him like that, and far from being the first in raising the challenges that he has raised.
In fact, most of what LeCun says has a long history that precedes him. And in every way possible he conveniently ignores that history, in order to exaggerate the originality of his ideas. By and large he has been effective at this. The myth of him as lone genius has worked for him, at least in the popular imagination.
But it is not true — or even remotely so.
For the most part, LeCun is nowadays known in the general public for five ideas: convolutional neural networks, his critique of large language models, his critique of the scaling hypothesis, his advocacy of commonsense and physical reasoning, and his advocacy of world models. The thing is, (a) he originated exactly none of these ideas, and (b) he rarely if ever credits any of the people who actually did. This reflects a consistent pattern known as the plagiarism of ideas.
Per the US Office of Research Integrity, the plagiarism of ideas is defined as “Appropriating someone else’s idea (e.g., an explanation, a theory, a conclusion, a hypothesis, a metaphor) in whole or in part, or with superficial modifications without giving credit to its originator”. He has done this over and over and over."
https://garymarcus.substack.com/p/the-false-glorification-of-yann-lecun
DeepMind’s Demis Hassabis says world‑model research is the next AI frontier, even as the hype‑bubble swells. New systems like Gemini 3, SIMA 2 and Genie 3 could push us toward an AGI “ChatGPT moment.” Read on for the market implications. #WorldModels #DeepMind #Gemini3 #AGI
🔗 https://aidailypost.com/news/deepmind-ceo-hassabis-says-world-models-are-ais-next-frontier-amid
"LeCun has already begun working on world models at Meta—including making an introductory video that implores you to imagine a rotating cube.
The model of LeCun’s dreams as described in his AI Action Summit speech contains a current “estimate of the state of the world,” in the form of some sort of abstract representation of, well, everything, or at least everything that’s relevant in the current context, and rather than sequential, tokenized prediction, it “predicts the resulting state of the world that will occur after you take that sequence of actions.”
World models will allow future computer scientists to build, he says, “systems that can plan actions—possibly hierarchically—so as to fulfill an objective, and systems that can reason.” LeCun also insists that such systems will have more robust safety features, because the ways we control them will be built into them, rather than being mysterious black boxes that spit out text, and which have to be refined by fine tuning.
In what LeCun says is classical AI—such as the software used in a search engine—all problems are reducible to optimization. His world model, he suggests, will look at the current state of the world, and seek compatibility with some different state by finding efficient solutions. “You want an energy function that measures incompatibility, and given an x, find a y that has low energy for that x,” LeCun says in his speech.
Again, these are just credible reports from leaked information about LeCun’s plans, and he hasn’t even confirmed that he’s founding something new."
Legendary AI scientist Yann LeCun is reportedly leaving Meta, and a Financial Times report suggests that he's going to found a startup based on "world models." @Gizmodo reports on what that means.
#Technology #Tech #ArtificialIntelligence #AI #LLMs #WorldModels #YannLeCun #Meta
I think he's right. LLMs were a great advancement when they appeared but in the last two years there's been a reckoning that there are structural limitations in them that prevent them for learning in general terms from their context.
"As a graduate student in the 1980s, Yann LeCun had trouble finding an adviser for his Ph.D. thesis on machine learning—because no one else was studying the topic, he recalled later.
More recently, he’s become the odd man out at Meta. Despite worldwide renown as one of the godfathers of artificial intelligence, he has been increasingly sidelined as the company’s approach diverged from his views on the technology’s future. On Tuesday, news broke that he may soon be leaving Meta to pursue a startup focused on so-called world models, technology that LeCun thinks is more likely to advance the state of AI than Meta’s current language models.
Meta Chief Executive Mark Zuckerberg has been pouring countless billions into the pursuit of what he calls “superintelligence,” hiring an army of top researchers tasked with developing its large language model, Llama, into something that can outperform ChatGPT and Google’s Gemini.
LeCun, by his choice, has taken a different direction. He has been telling anyone who asks that he thinks large language models, or LLMs, are a dead end in the pursuit of computers that can truly outthink humans. He’s fond of comparing the current start-of-the-art models to the mind of a cat—and he believes the cat to be smarter. Several years ago, he stepped back from managing his AI division at Meta, called FAIR, in favor of a role as an individual contributor doing long-term research.
“I’ve been not making friends in various corners of Silicon Valley, including at Meta, saying that within three to five years, this [world models, not LLMs] will be the dominant model for AI architectures, and nobody in their right mind would use LLMs of the type that we have today,”"
Fei-Fei Li and Yann LeCun are betting big on "world models" because clearly, AI needed another buzzword to conflate like three different things at once! 🙄🤖 Meanwhile, DeepMind's Genie 3 is the new kid on the block that nobody asked for, sporting a fancy title but, let's be honest, probably just another glorified video game engine. 🎮✨
https://entropytown.com/articles/2025-11-13-world-model-lecun-feifei-li/ #FeiFeiLi #YannLeCun #WorldModels #DeepMind #Genie3 #AIBuzzwords #HackerNews #ngated
Why Fei-Fei Li and Yann LeCun Are Both Betting on "World Models"
https://entropytown.com/articles/2025-11-13-world-model-lecun-feifei-li/
#HackerNews #FeiFeiLi #YannLeCun #WorldModels #AIResearch #MachineLearning
Pretty excited about #Marble from World Labs - it turns your text, images, and videos into editable 3D worlds with endless possibilities! Some amazing games and virtual reality projects are definitely on the horizon!!
#WorldLabs #SpatialIntelligence #AI #VR #WorldModels #FeiFeiLi
Fei-Fei Li's World Labs speeds...
https://winbuzzer.com/2025/11/13/google-deepminds-sima-2-ai-agent-can-auto-train-in-3d-worlds-xcxwbn
Google DeepMind’s SIMA 2 AI Agent Can Auto-Train in 3D Worlds
#AI #GoogleDeepMind #SIMA2 #Gemini #Robotics #Gaming #GenAI #AIagents #WorldModels #GoatSimulator3 #Alphabet
Meta’s star AI scientist Yann LeCun plans to leave for own startup https://arstechni.ca/pufk #convolutionalneuralnetworks #FundamentalAIResearch #largelanguagemodels #AIdevelopmenttools #NewYorkUniversity #AIinfrastructure #machinelearning #MarkZuckerberg #AlexandrWang #deeplearning #AIalignment #Turingaward #worldmodels #AIresearch #AIstrategy #Anthropic #YannLeCun #startups #ScaleAI #Biz&IT #google #openai #FAIR #meta #AI
Fei-Fei Li’s World Labs speeds up the world model race with Marble, its first commercial product
Yann LeCun to depart Meta and launch AI startup focused on 'world models'
#HackerNews #YannLeCun #Meta #Departure #AIStartup #WorldModels #Innovation