Tag: Algorithms
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Topics Everyone Is Talking About No331
UnifyBio: Power Tools for Translational Data Science • Task Injection: Attacking Autonomous AI Agents • Text Similarity via Normalized Compression Distance
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Topics Everyone Is Talking About No330
Gemini 3 Pro vs. 2.5 Pro in Pokémon Crystal • Claude in Chrome • Show HN: HN Wrapped 2025 Your Year on Hacker News, Reviewed by an LLM • Measuring How Long AI Can Stay on Task • Proving Randomized MaxCut Bounds in Lean4
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Topics Everyone Is Talking About No329
Go ahead, self-host Postgres • Show HN: Jmail Google Suite for Epstein files • Over 40 of fatally injured drivers tested positive for THC, study finds • How cybercrime takedowns were used to silence critics of Flock • OpenSCAD is kinda neat…
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Topics Everyone Is Talking About No327
LLM Year in Review 2025: Shifts, Insights, and Emerging Paradigms • A Better Zip Bomb: Compression, Exploits, and Algorithmic Ingenuity • NOAA Launches AI-Powered Global Weather Models • Understanding Dart Class Modifiers Through Lattice Theory • A Decade on Datomic – Davis Shepherd Jonathan Indig Netflix
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Topics Everyone Is Talking About No324
AI Speeds Up Developmentbut Causes 1.7 More Bugs • headson: headtail for Structured Data Summarize JSONYAML and Source Code • dogalog: A Prolog-Based Livecoding Music Environment • History LLMs: Models Trained on Pre-1913 Texts
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Topics Everyone Is Talking About No323
Dear ACM: Youre Using AI Wrong But Theres Still Time to Fix It • Partial Inlining: Smarter Compiler Optimization Explained • Mastering Bit Arrays in Gleam • GPT-5.2-Codex • Inside Chinas Manhattan Project for AI Chips
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Topics Everyone Is Talking About No321
Jonathan Blows Decade-Long Journey to Craft 1,400 Intricate Puzzles • Irans Vanishing Water: How Mismanagement Drained an Ancient System • How Getting Richer Made Teenagers Less Free • Microsoft Retires IntelliCode to Push Developers Toward Paid Copilot • lightning-extra: PyTorch Lightning Plugins for Cloud-Native ML
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Topics Everyone Is Talking About No319
Genuary 2026: Creative Coding Prompts Unleashed • Selective Applicative Functors: Bridging Theory and Computation • Gut Bacteria from Reptiles Show Complete Tumor Elimination in Mice • A16z-Backed AI Startup Hacked, Exposing Synthetic Influencer Operations
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Empirical: algorithm benchmarks
Algorithm benchmarking defines the empirical backbone of modern computing. This article explores how high-performance teams measure, compare, and optimize algorithmic efficiency across CPUs, GPUs, and distributed systems — covering reproducibility, statistical rigor, and the tools that make empirical benchmarking a science rather than an art.
