Why TypeScript Won't Save You
cekrem.github.io·10h·
Discuss: r/javascript, r/node, r/programming, r/reactjs, r/typescript, r/webdev
🤖Software Engineering with AI
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They made Trump a gangster, but there's more to The Dor Brothers than viral AI filmmaking
creativebloq.com·1d
🤖Software Engineering with AI
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I Taught an AI to Dream
blog.minibase.ai·2d·
Discuss: Hacker News
🤖Software Engineering with AI
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How I use AI to code
natemcmaster.com·10h
🤖Software Engineering with AI
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Customizable Generative AI: Building Tailored Intelligence for Every Industry
thetasvibe.blogspot.com·10h
🤖Software Engineering with AI
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The Science of AI Internal State Awareness
responseawareness.substack.com·2d·
Discuss: Substack
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Automated Anomaly Detection in Surgical Instrument Tracking Using Federated Learning
dev.to·18h·
Discuss: DEV
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The End of Prompt Engineering? Stanford’s Self-Improving AI Learned Clinical Reasoning on Its Own
pub.towardsai.net·1d
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AI Progress Should Be Measured by Capability-Per-Resource, Not Scale Alone: A Framework for Gradient-Guided Resource Allocation in LLMs
arxiv.org·2d
🤖Software Engineering with AI
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🧠 How We Built an AI Code Reviewer That Understands Intent — Not Just Syntax
dev.to·1d·
Discuss: DEV
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New prompt injection papers: Agents Rule of Two and The Attacker Moves Second
simonwillison.net·3d·
Discuss: Hacker News
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Learning Without Critics? Revisiting GRPO in Classical Reinforcement Learning Environments
arxiv.org·13h
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A 2032 Takeoff Story
lesswrong.com·18h
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Stop Calling LLMs AI
dev.to·1d·
Discuss: DEV
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How to implement Agentic AI in the enterprise?
dev.to·19h·
Discuss: DEV
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Automating error analysis for AI agents – what works and doesn't
atla-ai.com·2d·
Discuss: Hacker News
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Debugging AI Agents: Overcoming Observability Gaps in Multi-Agent Systems
dev.to·1d·
Discuss: DEV
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MemSearcher: Training LLMs to Reason, Search and Manage Memory via End-to-End Reinforcement Learning
arxiv.org·1d
🤖Software Engineering with AI
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AI Tools That Actually Help SaaS Founders Grow
dev.to·4h·
Discuss: DEV
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Efficiency vs. Alignment: Investigating Safety and Fairness Risks in Parameter-Efficient Fine-Tuning of LLMs
arxiv.org·2d
🤖Software Engineering with AI
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