where reliability lives in vision-language models
a mechanistic study finds attention sharpness is a near-zero predictor of correctness in vision-language models, while hidden state geometry and self-consistency offer stronger reliability signals.
topic
research
preference embeddings for collective decisions
standard text embeddings capture semantics, not agreement, so new methods are needed to map free-text opinions for fair clustering and facility location.
thinking machines lab unveils ai that talks and listens at once
thinking machines lab announced interaction models, a full-duplex ai that processes input and generates responses simultaneously, aiming for natural conversation speed.
rl-kirigami speeds inverse design of shape-shifting structures
a new framework combines flow matching and reinforcement learning to quickly generate valid kirigami cut patterns for target shapes.
pathboost: gradient boosting learns graph features from paths
pathboost is a gradient tree boosting method for graph-level prediction that learns path-based features directly from graph structure, outperforming graph neural networks on half of benchmark datasets.
high-dimensional multi-component ica phase structure
mean-field theory reveals initialization-driven competition and decoupling regimes in online independent component analysis.
how attention helps signal recovery in sequence models
a random matrix analysis reveals how attention weights affect signal detection in high-dimensional sequence representations.
kernel selection as model selection for two-sample tests
a new method treats kernel choice in mmd tests as a model selection problem, using a complexity penalty to avoid overfitting and scale to deep kernels.
ai writing is breaking my brain
jason koebler describes the zombie internet where ai-generated content blends with human writing, making it exhausting to filter and distorting communication.
ai guides chemists to design molecules with plain language
a new ai system called synthegy lets chemists describe synthesis goals in everyday language, then scores and explains the best reaction pathways.