LLM Reasoning

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ReasoningFlow: Discourse Structures for Understanding LLM Reasoning Traces

 ⚡Causal Inference  Content type: Academic
arxiv.org·

Microsoft just shared the frontier data engineering secrets

 💬Prompt Engineering
mail.bycloud.ai·

Presentation: Beyond Prompting: Context Engineering and Memory Management for AI Systems at Scale

 💬Prompt Engineering  Content type: News
infoq.com
·

The Rise of Agentic AI: What Every Engineer Should Learn

 🤖AI-native development  Content type: Blog
medium.com·

Show HN: TuringLLM – a LLM-powered Universal Turing machine

 🤖Agentic Systems  Content type: Code
github.com··Hacker News

Context windows in AI: why every token is a budget decision

 💬Prompt Engineering  Content type: Blog
redis.io·

Even "illegible" Mythos reasoning traces seem pretty legible

 💬Prompt Engineering
lesswrong.com·

I added this open-source tool to my local AI stack, and my local LLM finally has persistent memory

 💬Prompt Engineering
xda-developers.com·

Nemotron 3.5 Content Safety: Customizable Multimodal Safety for Global Enterprise AI

 💬Prompt Engineering  Content type: Blog
huggingface.co·

SIGMOD 2026 Recap

 💬Prompt Engineering  Content type: Blog
emptysqua.re·

Massive AI Storage Demand Creates a New Memory Wall

 💬Prompt Engineering  Content type: News
eetimes.com·

Agentic AI for Insurance Underwriting: Beyond Chatbots and Prompts

 💬Prompt Engineering  Content type: Blog
blog.nashtechglobal.com·

Tokenminning: Because Tokenmaxxing Is a Bad Idea

 💬Prompt Engineering
tokenminning.com··Hacker News

For Robotaxis, Safety Must Be Built In, Not Bolted On

 💬Prompt Engineering  Content type: Blog
blogs.nvidia.com·

ChatGPT easily bypasses its own guardrails; all LLMs are inherently unsafe

 💬Prompt Engineering  Content type: Blog
techzine.eu·

Guardian Angels: LLM Personalization for Productivity and Security

 💬Prompt Engineering
gwern.net··Hacker News

Adrarsh Divakaran: Building AI Agents in Python

 💬Prompt Engineering  Content type: Blog
blog.adarshd.dev·

Beyond Model Size: Probing the Gaps in Visual in-Context Learning by Training a Tiny Model

 💬Prompt Engineering  Content type: Academic
arxiv.org·

The sample efficiency black hole

 💬Prompt Engineering  Content type: News
dwarkesh.com··Hacker News

Indirect Prompt Injection remains a fundamental security challenge for AI

 💬Prompt Engineering  Content type: Blog
brave.com·

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