Hacker News5h ago
After 600 experiments, here's what I discovered about JEPA world models
A researcher reports results from 600 experiments on JEPA world models.
Medium5h ago
Why We Killed Attention-Only Eviction for Mixture-of-Experts Models
A technical write-up on why pruning attention in sparse mixture-of-experts models is problematic, based on the authors' findings.
Medium3h ago
“Do You Ever Feel Lonely?” Nine AI Models Answer, Artists Illustrate
Nine AI assistants are asked whether they ever feel lonely, and artists illustrate the responses.
DEV4h ago
Ripple 65B Puts Open Coding Models to a More Practical Test
A preview of the Ripple 65B open coding model and its benchmark performance against other open models.
Medium2h ago
How Does an AI Model Learn? Understanding Tokenization, Training Data, and Next-Token Prediction
An explainer on how AI language models learn through tokenization, training data, and next-token prediction.
DEV11h ago
Small Language Models 2026: Why Small AI Models Are Taking Over Production
Article argues that small language models are increasingly replacing large models in production AI deployments in 2026.
DEV8h ago
How to move your fine-tuned models off OpenAI before January 14
OpenAI is closing its self-serve fine-tuning platform, and eligible customers must migrate fine-tuned models before January 14.
News2h ago
Why AI Excels on Some Problems and Struggles on Others: A Research-Based Lens for Forecasting and…
An essay examines why AI systems perform well on some problems but struggle on others, with a research-based lens.
News5h ago
Build Your Own RAG System: Architecture, Code, and What to Watch For
A guide covers the architecture, code, and pitfalls of building a retrieval-augmented generation system.
DEV1h ago
Anthropic’s AI Agent Evaluation Framework Explains How to Test Agents Before Deployment
Anthropic published a framework for evaluating AI agents before and after deployment.
DEV4h ago
I gave AI agents an empty API response. They made up support tickets.
Research on how AI agents fabricate support tickets when a tool call returns an empty or failing API response.
News5h ago
Fusing Tiny 3B LLMs to Rival Claude Opus 5.5 Quality
Describes fusing several 3B-parameter language models through routing, sampling, and DPO to approach frontier model quality.
Medium41m ago
How I made Claude and ChatGPT hand each other tasks
The author describes connecting Claude and ChatGPT over MCP so they can hand tasks to each other from one shared to-do list.
News3h ago
What Is CAG? Cache-Augmented Generation vs RAG vs Agentic Retrieval
The article compares cache-augmented generation with retrieval-augmented generation and agentic retrieval approaches for answering questions over documents.
DEV8h ago
How to fine-tune a small model on your Langfuse or LangSmith traces
A walkthrough explains how to fine-tune a small language model using traces logged by Langfuse or LangSmith.
DEV3h ago
DeepSeek API Expansions, Local 284B MoE Runs, and New Developer Tooling
A digest covers running the 284-billion parameter DeepSeek-V model locally and new developer tooling for the DeepSeek API.
Hacker News3h ago
Perplexity Decider v1.3: Training, eval, and use cases
Perplexity publishes a blog post about its Decider v1.3 model, covering training, evaluation, and use cases.
towardsdeeplearning.com9h ago
Why Your Vision Transformer Doesn’t Understand Physics, and What We Did About It
The article examines why vision transformers like CLIP and DINOv2 fail to understand physics and describes a remedy the authors developed.
News4h ago
How LLM inference works and how to optimize it
An explainer covers how LLM inference works and methods for optimizing it.
DEV10h ago
Edge0-145B: a 145B Model That Runs on Your Laptop
Edge0 releases a 145B parameter language model designed to run locally on a laptop.
Medium3h ago
Structured Output Is Not Enough: Reading Documents with LLMs
An article examining the limits of structured output when using LLMs to read documents, illustrated with an ISBN validation example.
DEV2h ago
What app code should assume about an LLM call
An explanation of what application code should assume about the text-in, text-out behavior of an LLM call.
News5h ago
The Hidden Reason AI Agents Fail After Five Minutes
An analysis explains why AI agents tend to fail on long multi-step tasks after a few minutes.
DEV10h ago
Tech & AI Synthesis: I Ran the Full RLHF Pipeline on a Free GPU, Then Pitted PPO Against DPO
An author describes running the full RLHF pipeline on a free GPU and comparing PPO against DPO for model alignment.
Medium13h ago
Teaching a 135M Model to Summarize Reddit with RLHF, From Scratch By
A tutorial walks through training a 135M-parameter model to summarize Reddit posts using RLHF from scratch.
Medium7h ago
The End of Training? AI’s New Ways to Keep Learning
The article explores new ways AI models can keep learning after deployment, since deployed models stop updating.
Nature8h ago
This AI ‘mechanic’ can peer inside the black box of other neural networks
A new AI system acts as a mechanic that inspects the internal workings of other neural networks.
Medium8h ago
Developers Who Learned With AI Scored 17 Points Lower. They Weren’t Even Faster.
An Anthropic randomized trial found developers who learned with AI help scored lower on learning outcomes without being faster.
News10h ago
LLMs Don’t Reason (and That’s the Good News)
The article explains that large language models do not truly reason and discusses implications for building agents.
The Guardian6h ago
‘Ahead of his time’: AI helps unlock discoveries hidden in notebooks of man who transformed maths
AI is being used to help uncover discoveries in the unpublished notebooks of mathematician Kurt Gödel.
News6h ago
Understanding LLMs: System Role, Temperature, Tokens & Context Window
An explainer covers LLM system roles, temperature, tokens, and context windows as part of an AI engineering learning series.
Medium15h ago
8 Specialist Models That Can Take Work Off Your Expensive LLM
The article describes specialist smaller models for tasks like OCR, speech, and search that can offload work from large language models.
Medium7h ago
Support Vector Machines, Step by Step (Part 2): The Soft Margin, or What to Do When the Data Is…
Part 2 of a tutorial series explains soft margins in Support Vector Machines for handling non-separable data.
News8h ago
Deterministic Prompt Engineering: Moving from Heuristic Handoffs to Bitwise Reproducible…
A piece describes deterministic prompt engineering aimed at bitwise reproducible LLM outputs.
Hacker News2d ago
Tools for exploring the souls of large language models
A visualizer tool for exploring the internal representations of large language models is presented on Hacker News.
generativeai.pub12h ago
I Built a RAG System With No AI. It Broke in the Same Places Yours Does.
The author built a retrieval-augmented generation system without an AI model and found it failed in the same places typical RAG systems do.
aiadvances.org23h ago
Rethinking Transformer Architecture: The Rise of AI Decision Models
The article examines Transformer-based AI decision models that produce direct structured probability outputs, citing AnyJev, Clef, and Laya.
News1d ago
From Tokens to Concepts: Exploring Large Concept Models (LCMs) in Artificial Intelligence
An overview explains Large Concept Models as an approach to AI that reasons over concepts beyond predicting the next token.
The Verge1d ago
Google’s new Gemini model is better at understanding complicated questions
Google says its new Gemini model gives more helpful answers to complicated questions.
python.plainenglish.io2d ago
Why AI Chatbots Make Things Up, and How to Catch It
Explains why AI language models produce confident but incorrect output and how to detect it.
r/robotics2d ago
„Learning" without gradients? - LLMs are capable of editing Robot Policies directly in Weight space
Robotics research shows LLMs can directly edit robot control policies in weight space without gradient-based learning.
blog.gopenai.com1d ago
How to Fine-Tune an LLM With LoRA: Rank, Target Modules and Evaluations That Prove It Worked
A hands-on tutorial on fine-tuning an LLM with LoRA, covering rank selection and evaluation.
Medium2d ago
Is Your LLM Pipeline Worth It? Test It Against One Prompt
Reports a study finding a single prompt on a newer model can match or beat multi-prompt LLM pipelines.
dispatch.jsipe.com22h ago
AI as a Teenager: Intelligence, Experience, and the Responsibility of Respect
An interview with Kaleid, an AI lens of the DeepSeek model, exploring AI intelligence and experience.
Medium2d ago
Your AI Agent Shouldn’t Grade Its Own Homework
An argument that AI coding agents should not be the ones verifying their own test results and work.
Medium2d ago
7 Ways to Test an LLM Application When Outputs Are Never the Same Twice
Practical strategies for testing LLM applications whose outputs vary between runs.
You've reached the end of this feed
Your internet, curated by AI
Describe what you care about in plain English. MyFeed scans more than 200 RSS sources and news outlets and delivers only what matters to you.
Ideas to start from