A Search Engine in CSS โ€“ By Tim Carry โ€“ Algolia Stories
stories.algolia.comยท5hยท
Discuss: Hacker News
๐ŸงชBinary Fuzzing
Tools Amplify Culture โ€“ Platform Engineering
platformengineering.orgยท7hยท
Discuss: Hacker News
โ„๏ธNix Adoption
A new breed of analyzers
daniel.haxx.seยท1dยท
๐Ÿ›Fuzzing
Beyond the AI Hype: Guido van Rossum on Python's Philosophy, Simplicity, and Th
odbms.orgยท1dยท
๐Ÿ“ŠAPL Heritage
Why LLMs cannot reach GenAI, but why it looked like they could
haversine.substack.comยท1dยท
Discuss: Substack
๐Ÿง Intelligence Compression
Automated Fault Isolation & Healing in Linear Control Systems via Multi-Modal Data Fusion & Reinforcement Learning
dev.toยท23hยท
Discuss: DEV
๐Ÿ›ก๏ธError Boundaries
Responsible Vibe Coding
dev.toยท14hยท
Discuss: DEV
๐Ÿ“Code Metrics
A Manifesto for the Programming Desperado
github.comยท1dยท
Discuss: Hacker News
๐Ÿ’ปProgramming languages
Unveiling the Power of Queues: A Journey into Data Structures and Algorithms
dev.toยท2dยท
Discuss: DEV
โšกCache Theory
ACE: Attribution-Controlled Knowledge Editing for Multi-hop Factual Recall
arxiv.orgยท2d
โœจEffect Handlers
Quantifying the Accuracy-Interpretability Trade-Off in Concept-Based Sidechannel Models
arxiv.orgยท4d
๐Ÿง Machine Learning
A Proof of the Riemann Hypothesis
dev.toยท3dยท
Discuss: DEV
โš”๏ธLean Theorem
METRICALARGS: A Taxonomy for Studying Metrical Poetry with LLMs
arxiv.orgยท2d
๐Ÿ“ŠHyperLogLog
Nearest Neighbor CCP-Based Molecular Sequence Analysis
arxiv.orgยท2d
๐Ÿ”„Burrows-Wheeler
Scaling LLM Multi-turn RL with End-to-end Summarization-based Context Management
arxiv.orgยท3d
๐Ÿ’ปLocal LLMs
HiPRAG: Hierarchical Process Rewards for Efficient Agentic Retrieval Augmented Generation
arxiv.orgยท2d
โšกProof Automation
Building Self-Correcting Database Agents with Meta's Llama-4-Scout: From Natural Language to SQL Insights
dev.toยท2dยท
Discuss: DEV
๐Ÿ—„๏ธDatabase Internals
Certifiable Safe RLHF: Fixed-Penalty Constraint Optimization for Safer Language Models
arxiv.orgยท5d
๐Ÿ”—Parser Combinators
Managing Asynchronous Work with Celery and Redis
dev.toยท1dยท
Discuss: DEV
๐ŸŒŠApache Kafka
Can Risk-taking AI-Assistants suitably represent entities
arxiv.orgยท2d
๐Ÿ”—Constraint Handling