Tech News
Why does Opus 5 feel worse to work with?
Hacker News users discuss why Anthropic's Opus 5 feels worse to work with, citing overly elliptical writing, abstract phrasing, and exhausting communication patterns, with some preferring OpenAI's Sol.
Building agentic workflows with SageMaker AI and Bedrock AgentCore
Learn how to combine OpenAI-compatible endpoints on Amazon SageMaker AI with Amazon Bedrock AgentCore runtime to build a multi-agent workflow where each specialized agent uses the model best suited to its job.
openai/openai-python v3.1.0
3.1.0 Features api: add WebSocket stream IDs.
alchemy-utils 0.1a0
I've long pondered what a database agnostic version of my sqlite-utils Python library and CLI utility might look like.
From assistance to execution: How enterprises put AI to work
OpenAI research reveals how enterprises are adopting agentic AI, using ChatGPT and Codex, and how frontier firms are pulling ahead in AI adoption.
GitHub Repos
code-yeongyu/oh-my-openagent
omo/lazycodex: The coding agent for tokenmaxxers;the one and only agent harness for complex codebases.
# TypeScript# ai# ai agentsopendatalab/MinerU
Transforms complex documents like PDFs and Office docs into LLM-ready markdown/JSON for your Agentic workflows.
# Python# ai4science# document analysisusewhale/Whale
Whale — blazingly fast, terminal-first AI coding agent for DeepSeek.
# Go# coding agent# deepseekResearch Papers
A Hybrid Nested Harness for Decoupling Structure and Parameters in LLM-Driven Optimization
This paper proposes a hybrid optimization method where an LLM proposes a structural sketch with numeric gaps, and a separate numerical optimizer fills in the gaps, improving efficiency over pure LLM-driven search.
MOON: Multi-Objective OrthoNormalized Updates for Multitask Learning
This paper introduces MOON, a method for multi-task learning that adjusts gradients in a way that respects the matrix structure of neural network parameters, leading to faster and better optimization compared to existing methods.
VALG: An Agentic System for ML Theory Research
This paper introduces VALG, an AI agent that helps researchers do machine learning theory by automatically formulating problems, checking proofs, and building them step-by-step. It's like a smart assistant that keeps track of the logical structure of a proof and verifies each...