A pair of exotic formats
codecs.multimedia.cx·34m
💿FLAC Archaeology
Practical Hurdles in Crab Latching Concurrency
jacobsherin.com·1h·
Discuss: Lobsters, Hacker News
⚡Hardware Transactional Memory
Show HN: Aspera – Hybrid symbolic-LLM agents for production
news.ycombinator.com·1d·
Discuss: Hacker News
⚙️Proof Engineering
Categorical systems theory
topos.institute·4d
🔀Category Theory
LLMAtKGE: Large Language Models as Explainable Attackers against Knowledge Graph Embeddings
arxiv.org·13h
🧮Kolmogorov Complexity
Uncertainty Quantification for Retrieval-Augmented Reasoning
arxiv.org·13h
🔍Information Retrieval
The Personalization Trap: How User Memory Alters Emotional Reasoning in LLMs
arxiv.org·13h
👤Search Personalization
Holes in the web
aeon.co·1d·
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🌍Cultural Computing
RAG vs. Memory: Addressing Token Crisis in Agentic Tasks
agamjn.com·1d·
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🦀Rusty Databases
Data Provenance Auditing of Fine-Tuned Large Language Models with a Text-Preserving Technique
arxiv.org·13h
🧪Archive Fuzzing
What Dynamic Typing Is For
unplannedobsolescence.com·2d·
Discuss: Lobsters, Hacker News
📝Concrete Syntax
Reliable Active Learning from Unreliable Labels via Neural Collapse Geometry
arxiv.org·13h
🧠Machine Learning
[Pre-RFC] Substructural Type System
internals.rust-lang.org·2d·
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🔒Type Safety
Python 3.14 Deep Dive: Revolutionary Error Messages & Advanced Debugging (Part 2 - Chapter 2/3)
dev.to·8h·
Discuss: DEV
🌳Incremental Parsing
KnowRL: Teaching Language Models to Know What They Know
arxiv.org·13h
💻Programming languages
SLEAN: Simple Lightweight Ensemble Analysis Network for Multi-Provider LLM Coordination: Design, Implementation, and Vibe Coding Bug Investigation Case Study
arxiv.org·13h
🔗Archive Combinators
A Layered Intuition -- Method Model with Scope Extension for LLM Reasoning
arxiv.org·13h
🧠Computational Logic
Learning Bug Context for PyTorch-to-JAX Translation with LLMs
arxiv.org·13h
🎙️Whisper
Hallucination Detection via Internal States and Structured Reasoning Consistency in Large Language Models
arxiv.org·13h
💻Programming languages
DyKnow-RAG: Dynamic Knowledge Utilization Reinforcement Framework for Noisy Retrieval-Augmented Generation in E-commerce Search Relevance
arxiv.org·13h
🔍Information Retrieval