Trader – LLM agent for Robinhood with a Rust safety layer and paper trading
Rust-based LLM agent for automated trading on Robinhood with built-in safety constraints and paper trading. Uses MCP bridge architecture.
Rust-based LLM agent for automated trading on Robinhood with built-in safety constraints and paper trading. Uses MCP bridge architecture.
New GPT-Rosalind model update combining GPT-5.5 agentic capabilities with specialized domain knowledge for life sciences research, drug discovery, and genomics.
Wasmer used Codex to build a Node.js runtime for WebAssembly sandboxes, reducing development time from one year to two weeks. Enables running JavaScript apps and agents without Docker.
RadixAttention optimization for LLM prefill phase in Trellis, a privacy-focused inference system deployable on consumer hardware.
Self-play SWE-RL framework for training LLM-powered software agents through self-generated tasks and environments without human-curated data dependencies.
Plan-Verify-Fill paradigm for parallel decoding in diffusion language models using bidirectional context planning and validation without retraining.
Benchmark framework evaluating social understanding in MLLMs across three dimensions: social inference, holistic analysis, and normative reasoning.
Neural attention search method for adaptive hybrid attention models reducing quadratic complexity of softmax transformers in long-context scenarios.
LatentChem interface for chemical reasoning that decouples logic from language, enabling latent thinking instead of explicit chain-of-thought in chemical LLMs.
Knowledge distillation framework from Vision-Language Models to lightweight networks for fine-grained visual classification using prompt-aware semantic calibration.
Lightweight adapters trained on interpretability artifacts for reliable self-interpretation of LM internal states; frozen model with minimal parameters.
Selective Abstraction method enabling LLMs to provide abstracted answers when uncertain rather than complete abstention, improving long-form generation reliability.
Framework for evaluating AI agent reliability beyond accuracy metrics, measuring consistency, robustness, and systematic failure modes in agent deployment.
Framework for using AI agents to optimize other agents through code editing and evaluation; systematizes understanding of coding agent performance on harness optimization.
Multimodal embedding model architecture using collaborative attention and reconstruction loss, improving performance over contrastive learning approaches.
Heterogeneous distillation method for efficient real-time multi-agent trajectory prediction in autonomous driving under dense interactions and limited computation.
Proposes systematic taxonomy for path pruning in Large Reasoning Models to reduce computational costs from futile reasoning paths during parallel inference.
Acceleration method for diffusion-based LLMs exploiting spatial and temporal redundancy. Improves parallel token decoding latency.
Optimizer design principle for neural networks respecting symmetry and equivariance properties. Applications to embeddings, LM heads, and MoE routers.
On-policy distillation method improving fine-grained visual understanding in multimodal LLMs by teaching focus on relevant image regions.
Benchmark dataset for vision-language models and LLM agents on aerial road-damage detection. Evaluates both VLM grounding and autonomous agent research.
Method for automated selection of intermediate layers in LLMs for improved hallucination detection without manual tuning.
Graph-based detection method for LLM-generated social bots using relational patterns and hyperbolic geometry.
Offline reinforcement learning method using Bayesian belief for uncertainty quantification in policy optimization from pre-collected datasets.
Hybrid attention mechanism combining attention with state space models for improved language modeling. Proposes SISA to integrate importance signals during computation.
Stanford study showing law professors prefer AI-generated answers to student legal questions over peer responses.
AI-augmented monitoring configuration tool using local Ollama LLM and RAG to generate Prometheus/Grafana rules.
Summary of Anthropic's mechanistic interpretability research showing LLMs aren't black boxes, with reverse engineering progress.
Claude Code skill that provides persistent memory index for coding projects via markdown convention folder.
Normetrics API for unified norm-based linear models with multiple loss geometries and regularization techniques.
Open-source DAM alternative designed for AI agents with asset analysis, workflow boards, and self-hosted deployment. Directly targets AI agent workflows.
Open-source UI for AI coding agents with beautiful interface. GitHub repo and homepage provided.
Security middleware that screens web results and API responses for prompt injection and credential leaks before LLM processing.
AI tool that verifies citations by checking if resolved DOIs match claimed papers, addressing hallucination in academic citations.
Mozilla Firefox policy defining expectations and requirements for AI tool usage in production code contributions.
Algorithm-first post-training framework supporting SFT, DPO, PPO, GRPO for LLM fine-tuning without infrastructure overhead.
GPT implementation in Go trained on Jules Verne books. Includes weight persistence and custom dataset training.
Offline-first knowledge server with AI for local deployment on Debian systems.
Technical analysis comparing token efficiency of ClaudeCode, OpenCode, and Pi coding agent harnesses.
Multiplayer League of Legends clone built with Claude Opus 4.8 using agent swarms for character/ability design.
Production temporal reasoning system for AI agent memory built in Node.js/SQLite, addressing time-aware fact retrieval.
Guide on matching AI models to agents, explaining behavioral differences between Claude and GPT for agent customization.
Uber implements $1,500/month token spending caps per AI coding tool after budget overrun.
Leaderboard ranking web scraping AI agents by detection avoidance, comparing cloud browsers, proxies, and automation platforms.
Discussion of ontology as potential paradigm for AI coding, proposing formal knowledge representation to bridge requirements and generated code.
RSS feeds experiencing renewed usage as AI agents discover and consume structured content at scale.
ML research on session-aware routing for long-horizon agentic tasks using continuity-aware model selection.
React/MDX workspace preventing AI agents from generating oversized HTML files. Developer tool for agentic code generation.
Jolli AI: local-first memory system for AI coding assistants (Claude, Gemini, Codex). Developer tool for agent context management.
Clor: open-source tool for giving AI agents execution capabilities with improved security and reliability over existing solutions.