Superhuman Announces Winners of its Inaugural Grammarly Vanguard Awards
grammarly.com·1h
🏛Politics
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Show HN: Charl – ML language with native tensors and autograd
charlbase.org·2d·
Discuss: Hacker News
📘TypeScript
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Introduction: Truthmaker Semantics: What, What For, and How?
link.springer.com·10h·
Discuss: Hacker News
📘TypeScript
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Exhaustive profiling toolkit: elfutils and libdwfl_stacktrace
developers.redhat.com·7h
📘TypeScript
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Indic LLM-Arena: Benchmarking AI for Indian Languages & Culture
analyticsvidhya.com·9h
📘TypeScript
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High-Performance and Reliable Probabilistic Ising Machine Based on Simulated Quantum Annealing
link.aps.org·15h
🏛Politics
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How Design-to-Code Automation Works
uxpin.com·4h
📘TypeScript
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Fine-tune VLMs for multipage document-to-JSON with SageMaker AI and SWIFT
aws.amazon.com·1d
📘TypeScript
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Training GPT in Sheets
zalex.co·22h·
Discuss: Hacker News
⚡JavaScript
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How to Choose the Right Game Engine for Your Project
dev.to·1d·
Discuss: DEV
📘TypeScript
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The Secret Life of Python: Generator Secrets - Functions That Remember
dev.to·1d·
Discuss: DEV
⚡JavaScript
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Show HN: Tokenflood – simulate arbitrary loads on instruction-tuned LLMs
github.com·4h·
Discuss: Hacker News
📘TypeScript
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I Built a $0/month Autonomous QA Agent That Writes Tests for My Team Using Claude Code + Self-Hosted GitLab
reddit.com·17h·
Discuss: r/devops
📘TypeScript
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Time-Aware Policy Learning for Adaptive and Punctual Robot Control
arxiv.org·10h
🏛Politics
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Evaluating LLMs' Reasoning Over Ordered Procedural Steps
arxiv.org·2d
⚡JavaScript
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Constrained and Robust Policy Synthesis with Satisfiability-Modulo-Probabilistic-Model-Checking
arxiv.org·10h
🏛Politics
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Building Intelligent Game AI with CXXGraph: From Grid Pathfinding to Strategic Navigation
dev.to·1d·
Discuss: DEV
📘TypeScript
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Tech With Tim: I Let 3 AIs Compete to Build the Same App…
dev.to·1d·
Discuss: DEV
📘TypeScript
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VS Code extension for interactive code flowcharts and dependency graphs
github.com·2d·
Discuss: Hacker News, r/opensource, r/programming
📘TypeScript
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From Experience to Strategy: Empowering LLM Agents with Trainable Graph Memory
arxiv.org·10h
📘TypeScript
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