Into the Woods
news.uzh.ch·12h·
Discuss: Hacker News
🧠LLM Engineering
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Show HN: TabPFN-2.5 – SOTA foundation model for tabular data
priorlabs.ai·2h·
Discuss: Hacker News
🔧MLOps
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Building our geospatial database in production
radar.com·1d·
Discuss: Hacker News
🏛️Technical Architecture
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Scaling Sideways: Why You Might Want To Run Two Production Apps
judoscale.com·1d·
Discuss: Hacker News
🖥️Self-hosted apps
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original ↗
jamesoclaire.com·21h·
Discuss: Hacker News
🛡️AI Security
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Deploying Temporal on AWS ECS with Terraform
papnori.github.io·1d·
Discuss: Hacker News
☁️Cloud Security
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Technocalvinism
blog.cosmos-institute.org·1d·
Discuss: Hacker News
🎯Technical Strategy
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Recursive macros in C, demystified (once the ugly crying stops)
h4x0r.org·1d·
🏹Effect Systems
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LLM memory: either the best or worst thing about chatbots
birchtree.me·6h·
Discuss: Hacker News
🛡️AI Security
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An open-source conflict has emerged between Google and FFmpeg regarding AI-identified software vulnerabilities
piunikaweb.com·12h·
🔬Tech & Science
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Text-to-Speech (TTS) models & Tools for 8GB VRAM?
reddit.com·8h·
Discuss: r/LocalLLaMA
👨‍💻AI Coding
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There is no such thing as conscious artificial intelligence – Nature
nature.com·2d·
Discuss: Hacker News
🛡️AI Security
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Distributed Media Inferencing with Kafka
dev.to·59m·
Discuss: DEV
⚙️AI Infrastructure
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Decoupling Augmentation Bias in Prompt Learning for Vision-Language Models
arxiv.org·16h
🛡️AI Security
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Expertise and confidence explain how social influence evolves along intellective tasks
arxiv.org·1d
💼leadership
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Rethinking Vibe Coding: A Skeptic's Field Notes
dev.to·21h·
Discuss: DEV
🖥️Self-hosted apps
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The Self-Organizing AI: Can Machines Learn to 'Feel' Their Way to Success? by Arvind Sundararajan
dev.to·17h·
Discuss: DEV
⚙️AI Infrastructure
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A Unified Model for Human Mobility Generation in Natural Disasters
arxiv.org·1d
🧠LLM Engineering
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Visual Backdoor Attacks on MLLM Embodied Decision Making via Contrastive Trigger Learning
arxiv.org·3d
🛡️AI Security
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Self-Harmony: Learning to Harmonize Self-Supervision and Self-Play in Test-Time Reinforcement Learning
arxiv.org·2d
🔧MLOps
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