Meet the Winners of Grammarly’s Inaugural Vanguard Awards: Celebrating Human-Centered Innovation
grammarly.com·9h
⛳Code Golf
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<p>**Abstract:** This paper introduces Causal Contrastive Learning (CCL), a novel framework for generating more robust and interpretable counterfactual explanat...
freederia.com·1d
🧠Logic Puzzles
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Gnomes, Domains, and Flows: Putting It Together
happihacking.com·17h
🏗System design
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AI Giants Accidentally Leaking Secrets on GitHub
techrepublic.com·3h
🔓Cipher History
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How Fleets Can Navigate the AI Revolution
finance.yahoo.com·1d
🏗System design
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No More Train-Inference Mismatch: Bitwise Consistent On-Policy Reinforcement Learning with vLLM and TorchTitan
blog.vllm.ai·2d
🧪Testing Philosophy
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AI makes measuring work performance a lot trickier. How do companies adapt?
phys.org·2h
🧠Logic Puzzles
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How Tinder Decomposed Its iOS Monolith App Handling 70M Users
blog.bytebytego.com·41m
⛳Code Golf
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Meta's 'godfather of AI' departs the company to form his own startup — Turing award winner Yann LeCun advocates for the development of World Models over LLMs
tomshardware.com·5h
⛳Code Golf
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Top 7 ChatGPT Alternatives You Can Try For Free
kdnuggets.com·1d
⛳Code Golf
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#165 Design that takes an interest
designlobster.substack.com·2d·
Discuss: Substack
🏗System design
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AI Bubble Is Ignoring Michael Burry's Fears
slashdot.org·2h
💻Tech
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Lessons from the DeepChip Wars: What a Decade-old Debate Teaches Us About Tech Evolution
semiwiki.com·1d
🏗System design
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Moral Susceptibility and Robustness under Persona Role-Play in Large Language Models
arxiv.org·12h
⛳Code Golf
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Synthesizing Agentic Data for Web Agents with Progressive Difficulty EnhancementMechanisms
dev.to·4d·
Discuss: DEV
🚪Escape Rooms
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AI News: Fri, Nov 07, 2025
dev.to·5d·
Discuss: DEV
⛳Code Golf
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Next-Latent Prediction Transformers Learn Compact World Models
arxiv.org·1d
⛳Code Golf
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How Cellebrite Is Unlocking The Power Of AI For Digital Investigations
forensicfocus.com·1d
🧠Logic Puzzles
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'Tech Debt' Is a Self-Fulfilling Prophecy
dev.to·2h·
Discuss: DEV
🏗System design
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Adaptive PID Control for Robotic Systems via Hierarchical Meta-Learning and Reinforcement Learning with Physics-Based Data Augmentation
arxiv.org·1d
⛳Code Golf
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