Researchers push back on Apple study: LRMs can handle complex tasks with the right tools
the-decoder.com·6h
🧮SMT Solvers
Electoral System Design Database
idea.int·3h·
Discuss: Hacker News
💾Database Formats
Cross-compiling Common Lisp for Windows
fosskers.ca·16h·
Discuss: Lobsters, Hacker News
🧠Lisp Dialects
Show HN: AIOps MCP – Log anomaly detection using Isolation Forest
github.com·10h·
Discuss: Hacker News
👁️Observatory Systems
I built a recursive self-dialogue engine by accident. It won't stop evolving
github.com·1d·
Discuss: Hacker News
🌐Protocol Synthesis
MMSearch-R1: Incentivizing LMMs to Search
arxiv.org·2d
🔍BitFunnel
Unbelievable Future of Enterprise AI at Data + AI Summit 2025
dev.to·2d·
Discuss: DEV
⚡Z3 Optimization
How Startups Harness Google TPUs for Scalable AI Innovation
dev.to·4h·
Discuss: DEV
🖥️Modern Terminals
CovDocker: Benchmarking Covalent Drug Design with Tasks, Datasets, and Solutions
arxiv.org·1d
🔍BitFunnel
Memory Safety in Web Rust System Zero Cost Secure（1750931826373700）
dev.to·2d·
Discuss: DEV
🦀Rust Borrowing
ColumnTransformer and Pipelines in Scikit-Learn: Clean, Scalable, and Powerful Preprocessing
dev.to·1d·
Discuss: DEV
🌊Streaming Compression
Fine-Tuning and Prompt Engineering of LLMs, for the Creation of Multi-Agent AI for Addressing Sustainable Protein Production Challenges
arxiv.org·2d
🧮Theorem Proving
Structured Logging in NextJS with OpenTelemetry
dev.to·2d·
Discuss: DEV
📝Log Parsing
Alto: Orchestrating Distributed Compound AI Systems with Nested Ancestry
arxiv.org·5d
🌀Brotli Internals
The Future of AI Is Physical: Simulation Is Key
inductiva.ai·1d·
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🔲Cellular Automata
Advanced Path of Network Programming Deep Exploration from TCP to Application Layer Protocols（1751116236719200）
dev.to·3h·
Discuss: DEV
🌐Network Protocols
Structured data response with Amazon Bedrock: Prompt Engineering and Tool Use
aws.amazon.com·2d
🌀Brotli Internals
Enterprise Large Language Model Evaluation Benchmark
arxiv.org·2d
⚙️Compression Benchmarking
Supervised Machine Learning: Concepts I Finally Understand
dev.to·1d·
Discuss: DEV
🧠Machine Learning
Stochastic and Non-local Closure Modeling for Nonlinear Dynamical Systems via Latent Score-based Generative Models
arxiv.org·1d
🧠Machine Learning