LLMs

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Scoured 159 posts in 6.5 ms

DataXflowGen for GenAI-driven model generation

 🤖AI  Content type: Academic
nature.com·

Evaluating using Mock Tool Calls to Quarantine Untrusted Prompt Inputs

 🔷Type Systems
lesswrong.com·

You’re probably using Claude wrong – this $19.99 e-degree can fix that

 📝PKM
macworld.com·

Automated Scoring of Arabic Text Using Large Language Models: A Literature Review

 🤖AI  Content type: Academic
arxiv.org·

New comment by t_gamer_kle in "Ask HN: Who wants to be hired? (June 2026)"

 λFunctional Programming  Content type: Discussion
Less-relevant results

What the ocean taught me about AI.

 🤖AI  Content type: Blog
medium.com·

Boris Cherny, Claude Code creator, says he stopped manually prompting AI and now writes autonomous loops to orchestrate the model

 🟠Hacker News  Content type: News
digg.com·

The AI Agents Stack (2026 Edition)

 🤖AI  Content type: Blog
oreilly.com·

Context Engineering Is the Skill That Actually Ships Reliable AI Agents

 🧠Cognitive AI

AI prompting is creating a new form of digital anxiety | Technology

 🤖AI
devdiscourse.com·

A machine-learning-based reconstruction of surface mass balance over the Greenland Ice Sheet from 1950 to 2020

 🔷Type Systems  Content type: Academic
nature.com·

Local LLMs, Buy a GPU, and the Case for Cognitive Security

 🤖AI

My research agenda and work

 🤖AI
lesswrong.com·

The Neutral Mask: How RLHF Provides Shallow Alignment while Leaving Partisan Structure Intact in a Large Language Model

 🤖AI  Content type: Academic
arxiv.org·

Tokenminning: Because Tokenmaxxing Is a Bad Idea

 🤖AI

umair-tareen/philosopher-council: An eleven-philosopher LLM council - ask it questions or point it at AI-research trends. Claude-powered deliberation through the four classical branches of philosophy. Methodology, not metaphysics.

 🤖AI  Content type: Code
github.com··r/SideProject

New comment by aldoakhanov in "Ask HN: Who wants to be hired? (June 2026)"

 🟠Hacker News

| Amine Raji, PhD

 🎨Design Systems
aminrj.com·

When LLMs Invent Rust Crates: An Empirical Study of Hallucination Patterns and Mitigation

 🤖AI  Content type: Academic
arxiv.org·

Show HN: LLM memory without context bleed; 100% precision vs. <10% vector search

 📝PKM
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