{"slug": "what-ai-development-trend-do-you-believe-will-have-the-biggest-impact-in-the", "title": "What AI development trend do you believe will have the biggest impact in the next five years?", "summary": "Yann LeCun's AMI Labs raised $1.03B at a $3.5B valuation to build world models using JEPA, signaling a shift from LLMs to physics-aware AI. NVIDIA's Cosmos platform, trained on 20 million hours of real-world data, provides world foundation models for robotics and autonomous systems. Startups like Encord are solving the sensor data pipeline bottleneck, driving the next five years of AI toward models that understand and act in the physical world.", "body_md": "**The TL;DR:** The next 5 years? The bubble is probably going to pop on LLMs for the physical world, and we are going to go all-in on **World Models**. It’s the only way we get AI that doesn’t just chat but actually *acts* without breaking stuff.\n\nHere is the breakdown of why this is the real shift:\n\n**LeCun is on a crusade (and he’s right).** Yann LeCun basically told the industry to “abandon” generative LLMs if they care about human-level AI, calling them “completely helpless” when it comes to the physical world. He bounced from Meta to start **AMI Labs**, which just raised **$1.03B** at a $3.5B valuation to build models using JEPA (Joint Embedding Predictive Architecture) instead of just next-token prediction. The man is betting his legacy that sensory data > text data.\n\n**NVIDIA is building the “Physics Engine” for AI.** Check out their **Cosmos** platform. It’s a suite of “World Foundation Models” specifically designed to generate physics-aware videos and simulate environments . They trained these on **20 million hours** of real-world driving and robotics data . This isn’t just for generating cool videos; it’s about giving robots “foresight” to predict the consequences of their actions before they happen.\n\n**Startups are solving the “Data Pipeline” problem.** The bottleneck isn’t compute anymore; it’s **real-world sensor data**. LLMs scraped the internet, but robots need LiDAR, video, and telemetry.\n\n**The Bottom Line:**\n\nFor the next five years, the biggest impact won’t be a bigger LLM. It will be the shift from models that manipulate just text tokens to models that manipulate *physics*. If you are building AI that needs to interact with reality, you are going to be looking at NVIDIA’s Cosmos, feeding data through pipelines built by startups like Encord, and watching what LeCun’s AMI Labs cooks up.\n\n**Sources:**", "url": "https://wpnews.pro/news/what-ai-development-trend-do-you-believe-will-have-the-biggest-impact-in-the", "canonical_source": "https://discuss.huggingface.co/t/what-ai-development-trend-do-you-believe-will-have-the-biggest-impact-in-the-next-five-years/177062#post_2", "published_at": "2026-06-24 05:03:37+00:00", "updated_at": "2026-06-24 05:20:11.083149+00:00", "lang": "en", "topics": ["artificial-intelligence", "ai-startups", "ai-research", "robotics", "autonomous-vehicles"], "entities": ["Yann LeCun", "AMI Labs", "NVIDIA", "Cosmos", "Encord", "JEPA", "Meta"], "alternates": {"html": "https://wpnews.pro/news/what-ai-development-trend-do-you-believe-will-have-the-biggest-impact-in-the", "markdown": "https://wpnews.pro/news/what-ai-development-trend-do-you-believe-will-have-the-biggest-impact-in-the.md", "text": "https://wpnews.pro/news/what-ai-development-trend-do-you-believe-will-have-the-biggest-impact-in-the.txt", "jsonld": "https://wpnews.pro/news/what-ai-development-trend-do-you-believe-will-have-the-biggest-impact-in-the.jsonld"}}