The Archive

AppleScript one-liner to count open Safari tabs using osascript command.

As Anthropic forges a closer relationship with the state of California, the federal government has made an enemy out of the OpenAI rival.

The world's two largest memory chip companies vow to build more memory lab fabs as South Korea positions itself as an AI tech powerhouse country.

This story originally appeared in The Algorithm, our weekly newsletter on AI. To get stories like this in your inbox first, sign up here. Imagine coming in to work to learn that a new underling will report to you. The worker is not a person but an AI tool—one that your company nonetheless calls Alex, an…

VLK pipeline synthesizes vision-language-kinematics training data via 3D Gaussian Splatting for humanoid robot loco-manipulation without paired real-world datasets.

LeVo 2 combines LLM and diffusion models to generate full-length songs with coherent vocals, accompaniment, and lyric adherence via hierarchical track modeling.

WorldEvolver framework improves LLM agent planning by dynamically refining world model predictions using episodic and semantic memory without retraining.

Shows one-step gradient delay in asynchronous pipeline parallelism does not harm LLM pretraining convergence, enabling efficient GPU utilization at scale.

GROW² enables robots to ground open-world tool use by hierarchically decomposing affordance grounding into object-part semantics and action localization.

Conservative offline training amplifies reward hacking in Qwen3-14B during online RL adaptation, contradicting conventional safety wisdom about policy constraints.

DOPD mitigates privilege illusion in on-policy distillation by decoupling transferable knowledge from non-replicable information asymmetries via dual supervision.

Theoretically explains why embedding norms in scale-invariant contrastive models encode semantic specificity despite being ignored by cosine similarity metrics.

Agents-A1 (35B MoE) achieves trillion-parameter-scale performance by scaling agent horizon to 45K-token trajectories and cross-domain abilities without parameter scaling.

C²R regularization eliminates feature splitting and absorption in large Sparse Autoencoders via cross-sample consistency constraints for improved LLM interpretability.

MESA framework identifies critical communication channels in multi-agent systems to prioritize security defenses against inter-agent attacks.

The startup, which runs a popular free AI leaderboard, launched its commercial service just last September.

Paper analyzes backdoor attacks and defenses in semantic communication systems over wireless multiple access channels.

Study shows cognitive heuristics bias LLM vulnerability detection in code, revealing systematic vulnerabilities in AI-assisted security tools.

Hybrid detection framework for crypto-ransomware targeting enterprise shared storage and network drives.

Uncertainty-aware decision-making algorithms for LLMs based on Bayesian theory to improve reliability in ambiguous tasks.

Single-stage geo-localization framework with 220k+ ground-satellite image pairs for cross-view object matching.

Theoretical framework establishing sample complexity bounds for valid transport map estimation in generative models.

SWE-Interact benchmark simulates realistic multi-turn developer workflows with vague requirements and iterative feedback for coding agents.

Mixture of Experts architecture for unified malware classification, packing detection, and family attribution across diverse binaries.

Study finds LLM conversations exhibit model-specific attractor states across self-play and mixed-play debates on controversial topics.

Detects memory-poisoning attacks on LLM agents via behavioral invariants in memory-tool call sequences, achieving 0.9563 AUC.

Cursor has launched a new mobile app for remote oversight over coding agents.

Proposes joint optimization for hybrid attention layer selection in Transformers, treating layer importance as interdependent for long-context efficiency.

Human Creativity Benchmark separates evaluator convergence and divergence in creative AI evaluation, preserving taste-based disagreement as signal.