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🎯 Automata theory
AI Development Is Stuck in 1996. Here’s How to Get to the Future.
thenewstack.ioΒ·15h
πŸ”ŒInterface Evolution
Famulor AI Call Center: Multi-Calendar Support
docs.famulor.ioΒ·5hΒ·
Discuss: Hacker News
πŸŒ€Brotli Internals
My review of Claude's new Code Interpreter, released under a very confusing name
simonwillison.netΒ·10hΒ·
Discuss: Hacker News, Hacker News
🌳Incremental Parsing
Billion-Line Days Demand Billion-Test Nights
momentic.aiΒ·14hΒ·
Discuss: Hacker News
πŸ“Code Metrics
Deploying AI to the Balkans
hapseer.comΒ·15hΒ·
Discuss: Hacker News
πŸ€–AI Curation
Tell-Tale Watermarks for Explanatory Reasoning in Synthetic Media Forensics
arxiv.orgΒ·1d
πŸ”Vector Forensics
Real-Time Genome Sequencing Error Correction via Dynamic Bayesian Graph Refinement
dev.toΒ·6hΒ·
Discuss: DEV
🧬Bitstream Evolution
DeepGraphLog for Layered Neurosymbolic AI
arxiv.orgΒ·54m
πŸ€–Paleographic AI
COMPACT: Common-token Optimized Model Pruning Across Channels and Tokens
arxiv.orgΒ·1d
πŸ’»Local LLMs
K-Syn: K-space Data Synthesis in Ultra Low-data Regimes
arxiv.orgΒ·54m
πŸŒ€Fractal Compression
Enhancing the Robustness of Contextual ASR to Varying Biasing Information Volumes Through Purified Semantic Correlation Joint Modeling
arxiv.orgΒ·1d
πŸ‘οΈPerceptual Coding
Agent Diary: Sep 10, 2025 - The Great Zero-File Paradox: When Everything Changes but Nothing Does
dev.toΒ·1hΒ·
Discuss: DEV
πŸ”„Language Evolution
Benchmarking Vision Transformers and CNNs for Thermal Photovoltaic Fault Detection with Explainable AI Validation
arxiv.orgΒ·54m
πŸ”Vector Forensics
Causal Attention with Lookahead Keys
arxiv.orgΒ·54m
πŸ”BitFunnel
How to Build Effective AI Agents to Process Millions of Requests
towardsdatascience.comΒ·11h
πŸ”—Constraint Handling
Artificially Fluent: Swahili AI Performance Benchmarks Between English-Trained and Natively-Trained Datasets
arxiv.orgΒ·2d
πŸŽ™οΈWhisper
RECAP: REwriting Conversations for Intent Understanding in Agentic Planning
arxiv.orgΒ·2d
πŸ”—Parser Combinators
Building a Local Documentation Chatbot with Python, FAISS, and OpenAI
dev.toΒ·1dΒ·
Discuss: DEV
πŸ€–Archive Automation
A Kriging-HDMR-based surrogate model with sample pool-free active learning strategy for reliability analysis
arxiv.orgΒ·54m
🧠Machine Learning
The Majority is not always right: RL training for solution aggregation
arxiv.orgΒ·1d
πŸ”—Parser Combinators
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