Posts tagged “world-models”

20 posts found

ai-policyai-governanceexistential-risk

Three Rivals Agree to Slow AI Down, and Two Researchers Quit

Highlights of AI News for September 7 - 13 2026

Sep 14, 2026•40 min read

ai-tutorialstutorialai-news

Astra Crosses the Cyber Threshold

Highlights of AI News for August 31 - September 6 2026

Sep 7, 2026•13 min read

ai-tutorialstutorialai-news

Frontier Weights Went Public — With a Price Tag Attached

Highlights of AI News for August 10 - 16 2026

Aug 17, 2026•23 min read

ai-tutorialstutorialmodel-predictive-control

Planning Under Uncertainty: From MPC to Active Inference

A practitioner's tour of how an agent turns a doubtful model into a decision: model-predictive control and why replanning every step is the robustness, CEM and random shooting as the planners world-model papers actually run, planning through a posterior instead of a point estimate, and expected free energy with the sign convention stated the right way round.

Aug 16, 2026•10 min read

ai-tutorialstutorialworld-models

The Full Loop: World Models That Act on What They Don't Know

Calibrated confidence is a permission slip — this week we spend it. From PILCO's 17.5 seconds of robot experience to V-JEPA 2 planning zero-shot on a Franka arm, we trace how uncertainty becomes action. Then we look at the 2026 result that breaks the arc's own thesis: a world model can be locally well-calibrated and globally, confidently wrong.

Aug 15, 2026•13 min read

ai-tutorialsai-newsweekly-digest

OpenAI's Super App: GPT-5.6 and the Week AI Started Doing the Work

Highlights of AI News for July 6 - 12 2026

Jul 14, 2026•11 min read

ai-tutorialstutorialintermediate

Why Uncertainty Matters: From Confidence to Calibration

Why AI systems that express calibrated uncertainty are safer and more useful — covering overconfident models, epistemic vs aleatoric uncertainty, and calibration metrics including ECE and reliability diagrams.

Jul 13, 2026•10 min read

ai-tutorialsai-newsweekly-digest

Physical Intelligence π0.7: The Generalist Robot Brain That Actually Generalizes

Highlights of AI News for April 13 - 19 2026

Apr 21, 2026•18 min read

ai-tutorialstutorialvideo-understanding

From Optical Flow to Neural Scene Flow: Video Understanding for 3D

How motion estimation evolved from pixel-level optical flow to neural scene flow fields — and why it matters for reconstructing dynamic 3D worlds from video.

Apr 19, 2026•16 min read

ai-tutorialstutorial4d-gaussian-splatting

From Static Splats to Dynamic Worlds: The 4D Gaussian Frontier

How 4D Gaussian Splatting extends real-time radiance fields into the time domain — deformation fields, temporal regularization, neural scene flow, and the path to dynamic world models.

Apr 17, 2026•15 min read

ai-tutorialsai-newsweekly-digest

Meta Is Back: Inside Muse Spark and the $14B Alexandr Wang Bet

Highlights of AI News for April 06 -12 2026

Apr 14, 2026•15 min read

ai-tutorialstutorialequivariant-networks

Spatial Architectures: From Capsule Networks to Equivariant Neural Networks

A tour of the architectures that bake 3D geometry into the network itself—from Hinton's capsules and the geometric deep learning framework to modern E(n)-equivariant graph networks powering physical AI.

Apr 12, 2026•11 min read

ai-tutorialstutorialpost-transformer

Beyond Attention: The Post-Transformer Architecture Landscape for Physical AI

Survey the post-transformer frontier—state space models, recurrent revivals, long convolutions, and equivariant networks—and see why the architectures that will power physical AI look nothing like a stack of attention layers.

Apr 9, 2026•17 min read

ai-tutorialstutorialimage-to-3d

The Image-to-3D Landscape—How One Photo Becomes a World

Map the modern image-to-3D ecosystem—from LRM-style direct regression and multi-view diffusion to latent 3D generation—and see how the frontier is now moving from static 3D to dynamic 4D worlds.

Apr 5, 2026•20 min read