Feed Aggregation, FreshRSS, ATOM, Content Syndication

Siddhant Awasthi head of Tesla cyber truck programme has left the company
economictimes.indiatimes.com·3h·
Discuss: Hacker News
LLM Optimization
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Token-Optimized Notation Language
tonl.dev·3d·
Discuss: Hacker News
LLM Optimization
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Show HN: Charl – ML language with native tensors and autograd
charlbase.org·22h·
Discuss: Hacker News
LLM Optimization
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When AI cures – and counterfeits
longevity.technology·18h·
Discuss: Hacker News
🔍AI Interpretability
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Harness the Power of Atlas Search and Vector Search with $RankFusion
mongodb.com·4d·
Discuss: Hacker News
🗃Databases
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‘It shows such a laziness’: why I refuse to date someone who uses ChatGPT
theguardian.com·1d·
Discuss: Hacker News
🤖AI
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Beyond the Medallion: Rethinking Data Architecture
blog.matterbeam.com·4d·
Discuss: Hacker News
🔒Cybersecurity
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"Vital Flex Core: Smart EMS Device for Fat Loss & Muscle.
dev.to·14h·
Discuss: DEV
🛠️Developer Tools
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🚀 Early-Stage Kubernetes Backup
reddit.com·3d·
Discuss: r/kubernetes
🗃Databases
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Beyond lxml: Faster and More Pythonic Parsing with pygixml and selectolax
dev.to·3d·
Discuss: DEV
🕷️Web Scraping
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How to Use GPT-5 Effectively
towardsdatascience.com·3d
LLM Optimization
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Future for corporates self hosting LLMs?
reddit.com·1d·
Discuss: r/artificial
LLM Optimization
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TwIST: Rigging the Lottery in Transformers with Independent Subnetwork Training
arxiv.org·4d
LLM Optimization
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Tech With Tim: Is This the Fastest App Build Ever? (Base44 Demo)
dev.to·16h·
Discuss: DEV
✍️Prompt Engineering
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Enhanced Thermostable Lipase Engineering for Biofuel Production via Directed Evolution and Computational Modeling
dev.to·8h·
Discuss: DEV
LLM Optimization
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Hyper-Specific Sub-Field Selection: **Predictive Maintenance of Semiconductor Fabrication Equipment**
dev.to·3d·
Discuss: DEV
Model Efficiency
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Decoding Plant Defense: A Dynamic Network Analysis of Phytoalexin Biosynthesis Pathways
dev.to·2d·
Discuss: DEV
🤖AI
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Okay so I forked someone's project and now it's completely different 😅
dev.to·4d·
Discuss: DEV
🗄️SQLite
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Walking the Tightrope of LLMs for Software Development: A Practitioners' Perspective
arxiv.org·7h
LLM Optimization
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Accelerating AI Agent Development and Deployment Cycles
dev.to·21h·
Discuss: DEV
🔍AI Interpretability
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