What’s keeping chief compliance officers up at night
sifted.eu·3h
💪Fitness
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Debian Contributions: Upstreaming cPython patches, ansible-core autopkgtest robustness and more! (by Anupa Ann Joseph)
freexian.com·1d
💪Fitness
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Amazon Announces 2026 Amazon Nova AI Challenge: Trusted Software Agents Track
amazon.science·20h·
Discuss: Hacker News
🤖Machine Learning
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Critical RCE Flaws Found Across Major AI Inference Servers | Oligo Security
oligo.security·15h
🤖Machine Learning
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Reddit is becoming an incredibly influential source for LLMs, learn why:
i.redd.it·15h·
Discuss: r/LLM
🤖Machine Learning
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FFmpeg's volunteer maintainers are struggling to keep pace with AI-generated bug reports
techspot.com·1d
🤖Machine Learning
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Agentic systems are just query engines for unstructured data
daft.ai·1d·
Discuss: Hacker News
🤖Machine Learning
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Leading a cross-border integration program
nordot.app·19h
💪Fitness
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RL Environments and the Hierarchy of Agentic Capabilities
surgehq.ai·2d·
Discuss: Hacker News
🤖Machine Learning
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How to keep a “small feature” from turning into a full app rewrite?
reddit.com·1d·
Discuss: r/webdev
🤖Machine Learning
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WTF Summit Recap: AI Adoption 2.0: What Comes After the Pilot Projects
theinformation.com·7h
🤖Machine Learning
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Automated EIS Data Analysis & Corrosion Prediction via Adaptive Spectral Deconvolution
dev.to·13h·
Discuss: DEV
🤖Machine Learning
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Probability-Biased Attention over Directed Bipartite Graphs for Long-Tail ICD Coding
arxiv.org·3h
🤖Machine Learning
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When Confidence Meets Production: Lessons from a Missing Slash
dev.to·1d·
Discuss: DEV
🤖Machine Learning
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Beyond the Prompt: The Risks of Oversimplifying App Logic
dev.to·1d·
Discuss: DEV
🤖Machine Learning
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GPT-5.1: A smarter, more conversational ChatGPT
dev.to·17h·
Discuss: DEV
🤖Machine Learning
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What if your AI looked at an image, answered, then doubted itself?
github.com·19h·
Discuss: Hacker News
🤖Machine Learning
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Continuum Dropout for Neural Differential Equations
arxiv.org·3h
🤖Machine Learning
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Exploring The Interaction-Outcome Paradox: Seemingly Richer and More Self-Aware Interactions with LLMs May Not Yet Lead to Better Learning
arxiv.org·1d
🤖Machine Learning
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Unlearning Imperative: Securing Trustworthy and Responsible LLMs through Engineered Forgetting
arxiv.org·3h
🤖Machine Learning
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