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AI backdoor threats: Detecting ‘sleeper agents’ in large language models

scworld.com·12h

Building Highly Efficient Inference System for Recommenders Using PyTorch

pytorch.org·1d·

Discuss: Hacker News

Private Data Space Model

privatedata.space·2d

Building a Bluesky Sentiment Dashboard with Alpine and Chrome AI

raymondcamden.com·1d

A suspect Chinese lab, accountability, not cash, is key and other commentary

nypost.com·12h·

Discuss: r/NYPOSTauto

AI Logic Flaw Overcome, Allowing Language Models To Reason More Like Humans

quantumzeitgeist.com·1d

Your AI agent just did 5 things. Can you prove it?

dev.to·16h·

Discuss: DEV

**Python Techniques for Complete Machine Learning Model Lifecycle Management**

dev.to·15h·

Discuss: DEV

Sequential Attention: Making AI models leaner and faster without sacrificing accuracy

research.google·2d·

Discuss: Hacker News, r/LocalLLaMA

Mechanistic Interpretability: Peeking Inside an LLM

towardsdatascience.com·1d

Fear the American voter , not Trump

newsday.co.zw·4h

Plur1bus: accidental AI allegory

thefridaydeploy.substack.com·19h·

Discuss: Substack

I used Xcode 26.3 to build an iOS app with my voice in just two days

zdnet.com·19h·

Discuss: Hacker News

MatPy – Pure Python linear algebra library with ODE solvers

github.com·1d·

Discuss: Hacker News

Secrets of Intelligence Services - by Ben Recht

argmin.net·19h

Claude Opus 4.6 Just Did What No AI Model Has Ever Done Before

ucstrategies.com·1d

Generative Modeling via Drifting (Harvard)

arxiv.org·23h

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AI companies want you to stop chatting with bots and start managing them

arstechnica.com·1d

iczelia/kamilalisp: a functional, flexible and concise lisp.

github.com·3d

💻Programming Languages

Towards Reducible Uncertainty Modeling for Reliable Large Language Model Agents

arxiv.org·1d

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