The superintelligence dream has descended into a mountain of AI ‘slop’
telegraph.co.uk·1d
⚖️Emulation Ethics
Diagnosing Underperforming Content at Scale Our ETL Pipeline for Blog SEO in N8N
researchly.at·19h·
Discuss: Hacker News
🔃Feed Algorithms
Satisfaction of Render Pipelines
azeemba.com·22h·
🌊Stream Processing
We found a bug in Go's ARM64 compiler
blog.cloudflare.com·5d·
📜Proof Carrying Code
A Lisp Interpreter for Linux Shell Scripting
jakobmaier.at·3d·
Discuss: Hacker News
🔗Lisp
Agents 2.0: From Shallow Loops to Deep Agents
philschmid.de·1d·
Discuss: Hacker News
📼Tape Combinators
The Pain Driven Workflow
magistr.me·3d·
Discuss: Hacker News
Incremental Computation
Nicholas Renotte: I Spent 6 Weeks using Reinforcement Learning to Beat This GoDot Game
dev.to·2d·
Discuss: DEV
⚔️Lean Tactics
We Bet on Rust to Supercharge Feature Store at Agoda
medium.com·5d·
🦀Rust Borrowing
Master Docker & Kubernetes — From Zero to Real-World Deployment (limited time)
reddit.com·1d·
Discuss: r/kubernetes
📦Container Security
**Unlock the Power of Hybrid AI: Combining Reinforcement Lea
dev.to·1d·
Discuss: DEV
🤖Grammar Induction
Enhanced MALDI-TOF Peptide Identification via Graph Neural Network Calibration
dev.to·5h·
Discuss: DEV
🔍Vector Forensics
High-Throughput Fiber Optic Channel Monitoring via Dynamic Bayesian Network Inference
dev.to·20h·
Discuss: DEV
📊Homelab Monitoring
Junie Starter’s Pack: AI Coding Agent Explained
dev.to·4d·
Discuss: DEV
Proof Automation
Proposal: Deconfig – Distributed Git Infrastructure with Durable Objects
github.com·3d·
Discuss: Hacker News
📦Git LFS
Adaptive Beamforming Optimization via Reinforcement Learning for Dynamic Spectrum Allocation in V2X Communications
dev.to·11h·
Discuss: DEV
📊Quantization
How to Bypass Google Search reCAPTCHA: A Technical Guide for Seamless Automation
dev.to·4h·
Discuss: DEV
Proof Automation
Mitigating Judgment Preference Bias in Large Language Models through Group-Based Polling
arxiv.org·3d
💻Local LLMs
Real-Time Hydrogen Dispenser Flow Dynamics Optimization via Bayesian Network Reinforcement Learning
dev.to·2d·
Discuss: DEV
Incremental Computation
Latency vs. Accuracy for LLM Apps — How to Choose and How a Memory Layer Lets You Win Both
dev.to·6d·
Discuss: DEV
Performance Mythology