Deepfake Media Generation and Detection in the Generative AI Era: A Survey and Outlook
Comprehensive survey of deepfake generation and detection techniques across image, video, audio and multimodal content with taxonomy and benchmarks.
Comprehensive survey of deepfake generation and detection techniques across image, video, audio and multimodal content with taxonomy and benchmarks.
Analysis of how LLMs encode and process uncertainty across layers, examining relationship between hidden state dynamics and prediction confidence.
Symmetry-aware transformer training approach improving extrapolation in automated planning by handling variable permutation invariance.
Reinforcement learning approach to optimize Key-Value cache eviction in LLMs for efficient inference, replacing heuristic-based methods.
LA-RAG framework for question answering over long audio by converting continuous audio into timestamped events and using retrieval-augmented generation.
Decentralized orchestration architecture for distributed AI across heterogeneous edge/cloud resources.
LiveClawBench benchmark for evaluating LLM agents on complex, stateful real-world assistant tasks.
Active learning approach to map phase diagrams of the Vicsek collective motion model.
ELF framework for continuous diffusion-based language modeling with discrete token improvements.
Automated refactoring detection for BDD test suites using ML classifiers and LLM judges.
RSD auditing method for analyzing hidden states in language models using local geometric decomposition.
OptMuon optimizer using closed-loop orthogonalized momentum for deep learning with adaptive scale calibration.
Analysis of conformal prediction calibration techniques under label shift scenarios.
Evaluation of whether embedding models capture mathematical equivalence between different formulations.
CrossPool system for efficient serving of sparse MoE LLMs using shared KV-cache and weight disaggregation.
PCB-Bench is the first comprehensive benchmark for evaluating LLMs/MLLMs on printed circuit board placement and routing tasks, presented at ICLR 2026.
llmaker is an open-source platform for running complete LLM stacks locally with vector databases, embeddings, caching, observability, and built-in agent layer from single command.
CLI tool (FuckUI) for automating browser interactions with web agents, enabling programmatic control of browser tasks like navigation and inspection.
Open-source tool enabling AI agents to access signed satellite imagery as verifiable, citable real-world data through HTTP-like interface and MCP integration.
Sophon PFG-1 is a monolithic-3D AI training/inference ASIC with 330GB on-die DRAM using 2D-TMD technology, eliminating HBM bottlenecks.
wavecat is a fully local personal AI agent that monitors screen activity and learns user needs/goals without sending data to cloud.
Report documenting 28.6M secrets exposed on GitHub in 2025 (34% YoY increase) with 64% of 2022 leaked credentials still exploitable in 2026.
Research discussion on usefulness and capabilities of LLM-powered agents, noting rapid development pace outpacing academic research cycles.
Guide for implementing AI/LLM workflows in production while optimizing token costs through agentic approaches to maintain favorable cost-benefit ratios.
Analysis of how frontier LLMs struggle with complex document processing, requiring human expert involvement for accurate intelligent document processing.
AI Engineering Report 2026 analyzes telemetry from 22,000 developers showing acceleration whiplash as AI output floods human-paced development systems.
Selixes: Self-hosted LLM failover gateway with atomic budget caps and PII redaction for managing multiple LLM providers safely.
DESIGN.md format provides reusable design systems for AI coding agents to follow consistent visual languages instead of generic layouts.
Looped Whisper: MIT-licensed macOS app for local voice transcription using Whisper models with optional LLM integration, works offline.
Drift: Intent-based language for writing LLM agents in English that transpiles to async Python with budget tracking and structured outputs.
Opinion piece reflecting on AI in 2026: AI feels like faster incremental improvement rather than singularity, fundamental challenges remain.
Ablo: Collaboration layer enabling people and AI agents to work on shared typed data without conflicts or overwrites.
Bash4LLM+: Single-file Bash wrapper for LLM APIs using only curl and jq, no runtime dependencies, supports streaming and multiple providers.
NanoEuler: GPT-2 scale LLM implemented in pure C/CUDA from scratch to understand model composition, parameter-data correlation, and GPU optimization at low-level layers.
Cloudflare increased engineering headcount 45% after layoffs, CEO argues AI eliminates administrative roles while benefiting builders and sellers.
NetBird provides identity-aware access to AI APIs using WireGuard network layer and OIDC identity providers, replacing long-lived API keys with policy-gated tunnels.
Philosophical exploration of whether LLMs pass the mirror test of self-recognition and consciousness indicators.
Monlite: Zero-dependency TypeScript infrastructure collapsing documents, vectors, search, cache, queue, cron into single SQLite file for local AI agents and applications.
Conceptual article proposing AI agents as new product interface paradigm.
Ornith-1.0: Open-source family of models (9B-397B) optimized for agentic coding tasks built on Gemma 4 and Qwen 3.5.
Benchmark comparison of GLM 5.2, Claude, and Semgrep on IDOR vulnerability detection for coding agents.
Caliper: Testing harness for Claude Code and Codex skills using pass@k reliability metrics.
Verigate: System for cryptographic authorization receipts and audit trails in AI agent interactions.
AgentCrawl: Self-hosted web crawler designed for AI agent applications.
Analyzes security vulnerabilities in AI agents as trust boundary failures between components with different authority levels, focusing on guardrails and runtime tool execution.
Video discussing operational and infrastructure costs of running $15k/month AI SaaS service.
Shikhu: CLI tool and Agent Skill for understanding code generated by AI agents through self-quizzing, transcript analysis, and validation flows.
Research on offline monitoring and safety evaluation of internal AI agent systems.
User experience report using Claude Opus 4.8 to interpret MRI results and provide medical second opinion. LLM medical application case study.
Analysis of lessons learned from using LLMs to build SQLite, technical insights on LLM-assisted development.