The Archive

Latent Space reports industry shift: model labs rebranding/pivoting toward agent-focused development as core capability.

Vector quantization-based multiclass calibration method for ML models addressing heterogeneous calibration errors across latent space.

**World models** learn compact latent representations for planning without pixel reconstruction. LeWorldModel (LeWM), from LeCun's group at NYU, achieves stable end-to-end JEPA training by enforcing an isotropic Gaussian prior over the full latent space. **The flaw:** real environment dynamics live on low-dimensional manifolds, so a global high-dimensional Gaussian is an overly rigid prior — mismatched to the task geometry. LeWM itself struggles most on low-intrinsic-dimension tasks like Two-Room. **Our fix (Sub-JEPA):** apply the Gaussian regularization inside multiple frozen random orthog...

Latent Space reports on rising usage of Codex and Claude for programmatic coding agents, noting continued industry trend.

Market-rule-informed neural network for electricity imbalance price forecasting embeds price formation rules into latent space.

Joint training framework for latent diffusion language models combining encoder, diffusion, decoder with pretrained LM backbone.

Active learning for quantum chemistry via pretrained MLIP latent space acquisition signals; domain-specific chemistry application.

Latent Space newsletter item referencing GPT 5.5 and OpenAI Codex Superapp with minimal detail; unclear if announcement or speculation.

Latent Space podcast covers AIE Europe conference insights and Agent Labs thesis on unsupervised learning and agent development trends for 2026.

Interpretability method for ColBERT retrieval via learned latent space reference; targets biomedical/clinical ranking diagnostics.

OGER framework integrates offline teacher guidance with online RL for LLM reasoning, improving exploration beyond initial latent space.

Berkeley BAIR's PLAID model generates proteins (sequence + 3D structure) via latent diffusion in AlphaFold2 latent space, enabling billion-scale training.

The fundamentals of text-to-image generation, relevant papers, and experimenting with DDPM.