🧠 Reasoning Models - haotu007

Discussed on Hacker News

🤖AI Agents Nature

Large reasoning models as thinking machines for medicine

Covers DeepSeekMath

Less-relevant results

⚙️AI Engineering tai.shadie-oneapi.com·

Building an AI Side Project That Actually Ships — Lessons from Shipping 3 MVPs

Covered by DEV Community, api.deepseek.com

Discussed on DEV

🧠LLMs nextweekai.com·

How to Build ChatGPT from Scratch: Understanding LLMs Step by Step

Covered by JavaScript Development Space

Discussed on Hacker News

🤖AI Agents pyimagesearch.com·

Google DeepMind’s Gemma 4: MoE, Efficiency Tricks, and Benchmarks

Covers 7 stories including GitHub here . You can follow the build instructions below as well. Change -DGGML_CUDA=ON to -DGGML_CUDA=OFF if you don't have a GPU or just want CPU inferen...

✍️Prompt Engineering research.google·

Thinking to recall: How reasoning unlocks parametric knowledge in LLMs

⚙️AI Engineering XDA·

I ran 14b and 20b local AI models on my laptop for the same tasks, and result was surprising

🤖AI Agents The Verge

Google DeepMind announced an “AI Control Roadmap” for improving AI agent security.

🤖AI Agents vibhorkumar.wordpress.com·

Vibhor Kumar: The AI Agent Layer: Architecture, Implementation, and the Future of Intelligent Enterprise Systems

🤖AI Agents medium.com

Measuring the Responses API on Alan’s Support AI agents

✍️Prompt Engineering Tenure·

Every AI Memory Benchmark Has an Asterisk

Discussed on Hacker News

🧠Claude Interconnects·

GLM-5.2 is the step change for open agents

Covers 2 stories including GLM-5.2 (6 minute read)

Covered by 3 sources including WIRED, contextmaestro.com

Discussed on Hacker News

🧠LLMs fareedkhan-dev.github.io·

Train LLM from Scratch

Discussed on Hacker News

🧠LLMs Hugging Face·

Qwen-AgentWorld-35B-A3B: a 3B-active MoE trained to simulate MCP, terminal, SWE, Android, web and OS environments

Covers 2 stories including vllm-project/vllm

Covered by GitHub

Discussed on r/LocalLLaMA

✍️Prompt Engineering medium.com

My AI’s Memory API Turned Me Into an Unstable Villain. Its Chain of Thought Is Terrified of Me.

⚙️AI Engineering fig.inc·

Breaking Browser-Use Models Using Domain Randomization

Discussed on Hacker News and Hacker News

✍️Prompt Engineering arXiv·

Few shot chain-of-thought driven reasoning to prompt LLMs for open ended medical question answering

🟢OpenAI quaily.com·

Look Light, Think Heavy: What Multimodal Chain-of-Thought Reasoning Can and Cannot Do

The Complete Guide to Deploying DeepSeek R1 on a Dedicated Server

Grok Build 0.1: Intelligence, Performance and Price Analysis

Large reasoning models as thinking machines for medicine

Building an AI Side Project That Actually Ships — Lessons from Shipping 3 MVPs

How to Build ChatGPT from Scratch: Understanding LLMs Step by Step

Google DeepMind’s Gemma 4: MoE, Efficiency Tricks, and Benchmarks

Thinking to recall: How reasoning unlocks parametric knowledge in LLMs

I ran 14b and 20b local AI models on my laptop for the same tasks, and result was surprising

Google DeepMind announced an “AI Control Roadmap” for improving AI agent security.

Vibhor Kumar: The AI Agent Layer: Architecture, Implementation, and the Future of Intelligent Enterprise Systems

Measuring the Responses API on Alan’s Support AI agents

Every AI Memory Benchmark Has an Asterisk

GLM-5.2 is the step change for open agents

Train LLM from Scratch

Qwen-AgentWorld-35B-A3B: a 3B-active MoE trained to simulate MCP, terminal, SWE, Android, web and OS environments

My AI’s Memory API Turned Me Into an Unstable Villain. Its Chain of Thought Is Terrified of Me.

Breaking Browser-Use Models Using Domain Randomization

Few shot chain-of-thought driven reasoning to prompt LLMs for open ended medical question answering

AIGC Weekly #176