{"slug": "maybe-intelligence-ain-t-all-that", "title": "Maybe Intelligence Ain't All That", "summary": "Deep learning has demonstrated that systems previously considered unsimulatable on classical computers, such as protein folding, can be accurately modeled even without deriving rules from microscopic physics. The current explosion in representation space is not yet matched by physical reality, but advances in robotics will soon bridge that gap, bounded by physics.", "body_md": "- Deep learning has shown that many systems we thought were effectively unsimulatable on classical computers can still be modeled accurately, even when we cannot explicitly derive the relevant rules from their microscopic physics. Protein folding is a good example. In principle, a\n- Real-world interaction is bottlenecked by robotics. We're undergoing an explosion in representation space, not in physical reality space. Physical reality space explosion will happen soon, bounded by physics. The explosion in representation space accellerates and enables that.\n# Join the conversation", "url": "https://wpnews.pro/news/maybe-intelligence-ain-t-all-that", "canonical_source": "https://twitter.com/CliffordSosin/status/2078594661359194500", "published_at": "2026-07-25 18:36:11+00:00", "updated_at": "2026-07-25 18:52:22.620128+00:00", "lang": "en", "topics": ["artificial-intelligence", "machine-learning", "robotics"], "entities": [], "alternates": {"html": "https://wpnews.pro/news/maybe-intelligence-ain-t-all-that", "markdown": "https://wpnews.pro/news/maybe-intelligence-ain-t-all-that.md", "text": "https://wpnews.pro/news/maybe-intelligence-ain-t-all-that.txt", "jsonld": "https://wpnews.pro/news/maybe-intelligence-ain-t-all-that.jsonld"}}