AI video‑generation startup Runway announced a $315 million Series E financing round that lifted its valuation to $5.3 billion. The new capital will fund the pre‑training of next‑generation world models and expand the company’s research, engineering, and go‑to‑market teams. Runway’s latest model, Gen 4.5, delivers high‑definition video from text prompts with native audio, long‑form generation, character consistency, and advanced editing tools, outperforming competing offerings from Google and OpenAI on key benchmarks. The company also broadened its compute capacity through a partnership with CoreWeave and is seeing growing interest from gaming and robotics sectors. Leer más →

Yann LeCun’s newly launched venture AMI Labs has revealed that it will develop “world models” to create intelligent systems that understand the real world. The startup, headquartered in Paris with additional offices in Montreal, New York, and Singapore, is led by executive chairman LeCun and CEO Alex LeBrun, a former health‑AI founder. AMI Labs aims to apply its technology to high‑stakes fields such as healthcare, industrial automation, robotics, and wearable devices, emphasizing reliability, controllability, and safety. The company plans to license its models to industry partners while contributing to open research. Leer más →

While large language models like ChatGPT and Gemini dominate today’s AI products, industry leaders are turning toward world models that encode the physical world’s laws, objects and movement. These models aim to power realistic video, surgical robots and self‑driving cars, forging a new era of "physical AI." Prominent figures such as Yann LeCun, Fei‑Fei Li and Nvidia’s Jensen Huang are championing spatial intelligence and synthetic data as the foundation for this shift. Leer más →

Yann LeCun explains why he left Meta, citing the limited interest in his work on world models and applications beyond social media. He promotes the "neolab" concept—start‑ups that conduct fundamental research—and points to examples from former OpenAI executives. LeCun’s new AI architecture learns physics from video and incorporates past experiences as "emotions" to improve predictions. He predicts early, limited versions within a year and larger systems in a few years, emphasizing that more intelligence could lower human suffering and improve decision‑making. Leer más →

In 2026 the artificial‑intelligence industry is moving from large‑scale hype toward practical applications. Experts highlight a turn toward smaller, fine‑tuned language models, the rise of world models that understand 3D environments, and new standards like the Model Context Protocol that connect AI agents to real‑world tools. Physical AI devices—including smart glasses, wearables, robotics and autonomous vehicles—are set to become mainstream as edge computing and cost‑effective models enable on‑device inference. The overall tone is optimistic, emphasizing AI as an augmenting partner for humans rather than a replacement. Leer más →

AI researchers are shifting focus from language‑only models to world models that predict how environments change in response to actions. By learning physical dynamics from video and sensor data, these systems aim to enable robots, autonomous vehicles, and other embodied agents to plan and reason before acting. Companies such as Nvidia, Google DeepMind, Meta, OpenAI, and emerging startups are advancing the technology, while challenges around compute, data collection, and safety remain. Leer más →

Runway announced its new GWM-1 "world model" technology, asserting it can maintain coherent output for minutes at a time. The company framed the model as a step toward unifying diverse domains and action spaces under a single base system. While highlighting potential uses in film, television, advertising, robotics, physics and life‑science research, Runway also disclosed a partnership with CoreWeave that will employ Nvidia GB300 NVL72 racks for training and inference. The move positions Runway in a competitive AI arena where larger tech firms also pursue similar capabilities. Leer más →

At the NeurIPS 2025 conference, AI experts highlighted that the current strategy of scaling larger transformer models is hitting a performance ceiling, even as Google celebrated the strong results of its Gemini 3 model. Researchers argued that simply adding more data, compute, and training time no longer yields meaningful gains, pointing to a "scaling wall" and the need for new architectures such as neurosymbolic systems or world models. The consensus was that while models like Gemini 3 demonstrate impressive capabilities, they remain fundamentally limited pattern‑matchers lacking true reasoning or causal understanding, underscoring the gap to artificial general intelligence. Leer más →

Leading AI figures, including Mark Zuckerberg, Dario Amodei, Sam Altman, Yann LeCun, Yoshua Bengio, Eric Schmidt and Gary Marcus, caution that large language models (LLMs) are limited tools that mimic language rather than replicate human thought. While tech CEOs tout imminent breakthroughs, researchers argue that true artificial general intelligence (AGI) will require world‑modeling, persistent memory, reasoning and planning capabilities beyond text‑based training. The piece highlights the growing skepticism within the AI community and stresses the need for a broader, multi‑disciplinary approach to building genuinely versatile intelligent systems. Leer más →

Meta’s chief AI scientist, Yann LeCun, is reportedly preparing to leave the company to start his own venture. The former Turing Award winner, who also teaches at New York University, is said to be raising capital for a startup that will concentrate on "world models," a type of AI that builds an internal understanding of its environment to predict outcomes. His planned exit comes amid Meta’s broader AI restructuring, including the formation of Meta Superintelligence Labs and a major investment in data‑labeling firm Scale AI. LeCun has expressed skepticism about current AI hype, emphasizing the need for more fundamental breakthroughs. Leer más →

Major AI companies are channeling resources into world models as large language model advances plateau. Runway introduced a video‑generation product that uses world models for real‑time gaming scenes. Niantic leverages data from its long‑running games, including Pokémon Go, to map millions of locations for its spatial AI platform. Nvidia’s Omniverse platform underpins physical AI efforts, aiming to boost robotics and simulation capabilities. Executives from Runway, Niantic, and Nvidia emphasize the strategic importance of these models for diverse industries, despite predictions that fully human‑level AI may still be years away. Leer más →