The Archive

BCI-sift: scikit-learn compatible Python toolbox for automated feature selection in brain-computer interface applications.

Empirical study of 2-6 bit quantization impact on eight LLMs across MMLU-Pro and reasoning benchmarks.

Social media post sharing video clip allegedly generated by Gemini Omni; lacks technical details or verification.

I actually use the Gemini app quite a bit on my phone, but let’s not get carried away. Gemini has a creep problem. A few years ago, that little sparkle icon started showing up in all of our Google apps. Gemini in your inbox! Gemini in your Google Drive! It was slow at first, and easy enough to tune out, but something has changed in the past few months. Gemini is creeping. It's showing up in all kinds of places at a relentless pace, and personally, it's starting to really cheese me off. The AI-everywhere fatigue is familiar to anyone who has ever used Windows 11. Microsoft went absolutely bana...

Study reveals privacy attacks extracting sensitive attributes from knowledge graph embeddings and proposes defense mechanisms.

Theoretical analysis of gradient bias in SGD with missing data; proposes Richardson-SGD debiasing procedure.

Framework defining capability boundaries for LLM-driven autonomous accessibility systems in browser environments.

P2DNav: hierarchical zero-shot vision-language navigation framework using panorama-to-downview reasoning for embodied agents.

Universal LLM-based optimization system achieves SOTA on six tasks: 89.5% ARC-AGI accuracy, 4x cloud cost reduction.

Emotion-augmented audio-visual features improve generalization to unseen deepfake manipulation types.

Theoretical Berry-Esseen bounds for federated linear stochastic approximation quantifying communication-computation trade-offs.

Characterizes optimal reconstruction error from approximate linear queries across remote sensing and privacy-sensitive inference.

Component-aware style transfer framework bridges sim-to-real gap for satellite 6D pose estimation with synthetic training data.

No substantive content; Stratechery publishing hiatus notice.

*Everything I learned the hard way — 6 weeks, no sleep :), two environments, one agent that actually works.* # The Story I spent six weeks building a personal AI agent from scratch — not a chatbot wrapper, but a persistent assistant that manages tasks, tracks deals, reads emails, analyzes business data, and proactively surfaces things I'd otherwise miss. It started in the cloud (Claude Projects — shared memory files, rich context windows, custom skills). Then I migrated to Claude Code inside VS Code, which unlocked local file access, git tracking, shell hooks, and scheduled headless tasks....

Extends diffusion posterior sampling to graph-structured meshes for PDE inverse problems; application to electrical impedance tomography.

MiMuon optimizer studies generalization error of matrix-structured parameter optimization for large-scale models via algorithmic stability.

Framework for validating interpretable surrogate models using normalized Loss of Interpretability metric grounded in power divergence.

Developer shares multi-agent orchestration pattern using Claude where agents autonomously route work between research, coding, and review phases without manual context-passing.

Bayesian nonparametric LABS regression establishes posterior contraction rates in Besov spaces for adaptive spline modeling.

Spectral Integrated Gradients improves feature attribution by using SVD-based integration paths instead of straight-line paths.

Formal Skill introduces runtime-native abstractions for LLM agent skills with state management, policy enforcement, and completion discipline.

LLMEval-Logic: solver-verified Chinese logical reasoning benchmark with adversarial hardening and expert audit for LLM evaluation.

YOLO26-MoE model optimized by LLM agent for insulator fault detection in UAV power-line inspection imagery.

Empirical study of scheduling strategies for multi-model LLM serving with GPU memory constraints, offloading, and preemption.

Dual-Window Smoothing framework enforces temporal consistency for implicit action chunking in continuous control without output scaling.

Physics-informed GNN surrogate (ELGIN) predicts nanoparticle dispersion in dental aerosol environments faster than RANS simulation.

Social media post about reaching daily Claude usage limits; not substantive technical or business news.

Reddit user reports billing issue with Claude Max plan and unresponsive support automation.

The concept: you get a cold denial letter from an AI system - airline cancelled your flight, insurance rejected your claim, bank won't refund fraud - and you have to argue back until the bot's resistance hits zero. The bots don't fold unless you cite the right law. EU261, RBI Digital Lending Guidelines, GDPR Article 17, Australian Consumer Law. Same arguments that work in real disputes. **What's in there:** * 54 cases across EU, India, Australia, UK, US * Each bot has a persona, a resistance meter, and a lose condition if you run out of messages * Resistance is scored server-side — Claude ...