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Tool Directory
Curated database of production-ready AI software & models categorized by technical utility.
Prompt Sandbox
Test and version-control complex system prompts without burning your own API tokens.
Blog & Case Studies
Long-form analysis of enterprise AI adoption and technical deep-dives for engineers.
Daily Digest
Essential AI news summarized by experts, delivered to your screen at 8:00 AM UTC.
Latest AI Models & Benchmarks
Track context constraints, input/output token costs, and standardized evaluation benchmarks across newly released frontier & open-weight models.
Core AI Directories, Benchmarks & Hubs
Explore standardized evaluation datasets, pricing models, lab rosters, verified prompt libraries, and directories across the frontier AI ecosystem.
LLM Pricing Matrix
Live cost tracking per 1M input/output tokens across 70+ models, with cost ratios and token efficiency scores.
Frontier Benchmarks
Standardized leaderboard across MMLU, HumanEval, MATH, GPQA, and time-to-first-token latency.
AI Companies & Labs
Corporate dossiers, model portfolios, and technical architectures for OpenAI, Anthropic, Google, Meta, and xAI.
Tool Comparison Engine
Interactive side-by-side matrices comparing features, context limits, API capabilities, and developer pricing.
Browse All Platform Directories & Datasets
Latest research
Synthesized digests of recent publications across machine learning, alignment, and multi-agent systems.
User Embeddings are Superpositions of Interpretable Behavioral Modes
Sparse autoencoders recover interpretable behavioral modes from user embeddings, enabling zero-shot audience retrieval via natural language labels without retraining the upstream model.
SwarmEvolve: Latent Agent Swarms for Evolutionary Discovery and Optimization
SwarmEvolve uses hundreds of low-cost LLM agents that reason in latent space and share KV caches, enabling fast evolutionary program search with novelty filtering and latent crossover.
FlowReconBench: Accuracy, calibration and cost of learned and classical flow reconstruction from sparse sensors
Benchmark of 10 learned vs 5 classical flow-reconstruction methods shows the best approach shifts per regime; classical estimators win in dense/low-order sensing while generative models win as sensor density drops.
BriefStock
Premium datasets for fine-tuning specialized LLMs. High-integrity text and image corpuses.
Araho
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