Now Entering: The Era Of Bleh
The essay argues that widespread reliance on the same handful of large language models is producing intellectual homogenization inside companies…
The essay argues that widespread reliance on the same handful of large language models is producing intellectual homogenization inside companies…
Economists Branko Milanovic and Nils Gilman argue that AI will destabilize the small class of Americans who earn high salaries…
Researchers introduce Self-Organizing Agent Teams (SAT), fixed groups of AI agents that learn reusable collaboration strategies from as few as…
RewardVerse introduces a rubric-based reward framework for RL-trained video generation models, addressing scalar drift in reward models that map subjective…
HyperQ adds token-conditioned quantum residual branches to a frozen masked-diffusion language model, where a lightweight circuit hypernetwork emits per-token rotation…
Uranus is a data-driven robot simulator built on a joint-trajectory-conditioned autoregressive diffusion model that generates streaming, open-ended video rollouts from…
GAE, a geometry-native autoencoder, reparameterizes features from a geometry foundation model into a compact latent space jointly decodable to appearance,…
LatentPort demonstrates cross-model transfer of a language model’s live recurrent inference state to a differently-sized sibling model without the receiver…
Ovis-Embedding is an omni-modal embedding model family built on a shared multimodal backbone that natively encodes text, image, video, and…
X-Planner is a planning front-end for Vision-Language-Action systems that makes long-horizon task planning explicit, combining teleoperation data at varying annotation…
RULER introduces instance-aware rubric rewards for training SVG-generation models with reinforcement learning, replacing scalar image-quality metrics that transfer poorly to…
MemoryAthena studies whether agent memory can be usefully generated rather than only retrieved, combining direct retrieval from an explicit memory…