The Archive

Anthropic leadership structure dominated by women across product, engineering, and executive roles.

CIKA framework uses LLMs as interventional simulators to identify causal concept contributions to mathematical reasoning via prompts.

Bi-objective decision tree learning for recourse summaries balancing effectiveness and cost in classifier auditing.

Generalization bounds for extreme multi-class supervised contrastive learning accounting for tuple dependencies in finite pools.

Causal Energy Minimization framework derives Transformer block parameterization (MHA, gated MLPs) from energy function optimization.

Parallel lifted classical planning via semi-naive Datalog evaluation with rule-level and instruction-level parallelism.

POISE: reinforcement learning baseline estimation from LLM hidden states without critic model, improving variance reduction for RLVR.

Bilevel graph structure learning gains attributed to inner-loop training dynamics rather than graph rewiring; frozen-φ control decomposition.

Response-G1: scene graph alignment for proactive streaming video understanding without fine-tuning, handling query-guided response timing.

Generate-Select-Refine framework automates task discovery in Bayesian optimization by iteratively generating and optimizing tasks from seed objectives.

Video-LLMs fail temporal reasoning despite strong visual backbones; information bottleneck traced to projector and LLM layers in Arrow-of-Time task.

Ensemble Distributionally Robust Bayesian Optimization improves zeroth-order optimization under context uncertainty with sublinear regret bounds.

Universal Semi-Supervised Learning framework addresses arbitrary unlabeled data distributions using simplex-anchored structural inference beyond pseudo-labeling.

ProteinJEPA combines masked language modeling with latent-space prediction for 35–150M protein encoders, improving downstream task performance.

Disagreement-Regularized Importance Sampling detects adversarial label corruption via rank disagreement across proxy ensembles with concentration guarantees.

Conformal Prediction applied to object detection enables distribution-free, finite-sample uncertainty quantification with scaled coverage for multi-output safety.

Neural scaling laws show limited cross-domain invariance; proposes methods to transport laws from source domains to reduce expensive sweeps on new tasks.

Implicit Preference Alignment enables data-efficient human animation via learned preferences without curated preference pairs for complex hand motion.

Claude user reports LLM hallucinating manufacturer phone number; Claude acknowledged fabrication when questioned.

Survey/book chapter reviewing vision-language model landscape and historical context; lacks novel technical contributions or benchmarks.

Reddit post extrapolating Anthropic's growth trajectory to absurd endpoint; acknowledged as non-predictive commentary.

Reddit post seeking continual learning research collaborators and paper recommendations.

DS4: inference engine optimizing DeepSeek 4 flash model deployment on 128GB MacBooks.

Berkeley BAIR proposes Adaptive Parallel Reasoning (APR), a method to scale inference efficiency by dynamically allocating compute across reasoning branches.

Commentary on Anthropic using Google Forms for feedback collection as example of pragmatic tool selection over custom build.

User seeking GGUF conversion and local inference details for Chrome's ~4GB Gemini Nano model.

Reddit user documents personal setup of local open-weights LLM lab; lacks technical depth or novel methodology for professional audience.

Trump administration reverses AI deregulation stance; David Sacks faces increased government oversight contrary to his policy goals.