TL;DR
- ARTEX is gaining traction (2950 stars, score 73.0).
- aurelio-finance is gaining traction (2094 stars, score 45.88).
- ai-newtab is gaining traction (697 stars, score 27.94).
- big-arrow-on-the-screen is gaining traction (594 stars, score 25.88).
- openai published Asana cuts model costs 76x in browser tests with GPT-6.1 Sol (score 40.0).
Top Open Source Repos
- ARTEX
| AI 自主渗透测试系统 |
百度“agent+”攻防挑战赛冠军项目 |
| _Source: ai-agents |
Published: 2026-10-08T05:33:06+00:00 |
Score: 73.0 |
Stars: 2950_ |
- aurelio-finance
Open-source personal finance app with an AI financial advisor: track your net worth, investments, ETFs, cash and debts on your own computer.
| _Source: llm |
Published: 2026-10-06T20:14:19+00:00 |
Score: 45.88 |
Stars: 2094_ |
- ai-newtab
Claude generates a daily new tab page based on your browser history.
| _Source: ai |
Published: 2026-10-08T17:44:43+00:00 |
Score: 27.94 |
Stars: 697_ |
- big-arrow-on-the-screen
Let your AI agents paint big arrows, boxes and text on your Mac screen. One CLI, click-through, gone by itself. Skill for Claude Code and Codex. MIT.
| _Source: ai-agents |
Published: 2026-10-08T08:39:15+00:00 |
Score: 25.88 |
Stars: 594_ |
Research and Company Updates
- Asana cuts model costs 76x in browser tests with GPT-6.1 Sol
Using GPT-6 Astra in Codex, Asana made its browser agent 76x cheaper and 5x faster in tests to offer customers more capable models.
| _Source: openai |
Published: 2026-10-09T07:00:00+00:00 |
Score: 40.0_ |
- Sophos cuts threat investigation time by 96% with OpenAI Daybreak
Discover how Sophos uses OpenAI’s Daybreak to cut cyber-threat investigation time by 96% and automate 52% of MDR cases while preserving human oversight.
| _Source: openai |
Published: 2026-10-09T07:00:00+00:00 |
Score: 40.0_ |
- How Oracle turns days of work into minutes with ChatGPT and Codex
Across recruiting, engineering, and operations, Oracle turns specialist knowledge into fast, repeatable workflows with ChatGPT Work and Codex.
| _Source: openai |
Published: 2026-10-08T16:00:00+00:00 |
Score: 40.0_ |
- Impactful scheduling for GPU clusters
No summary available.
| _Source: huggingface |
Published: 2026-10-09T15:20:29+00:00 |
Score: 34.0_ |
- Into the Omniverse: How Developers Turn Ideas Into Simulations With Frontier AI Agents
Turning a simulation idea into a working application means assembling assets, connecting physics and rendering, and checking that the scene behaves as intended. Developers are combining frontier AI models with NVIDIA Omniverse libraries to help carry out that work — building applications for exploring scenarios,…
| _Source: nvidia |
Published: 2026-10-08T21:06:35+00:00 |
Score: 34.0_ |
- Rally Up: ‘Gears of War: E-Day’ Launches on GeForce NOW
Gears of War: E-Day leads the charge on GeForce NOW this week, bringing Marcus Fenix and Dom Santiago’s first fight against the Locust Horde to the cloud with GeForce RTX-powered performance. A new way to join the action is also coming: Fire TV users will soon be able to purchase GeForce NOW memberships directly…
| _Source: nvidia |
Published: 2026-10-08T13:00:46+00:00 |
Score: 34.0_ |
- Agent Lightning v1.0: A 3,500-Line Lightweight Agentic RL Framework for Training Agents with Real Harnesses
Training AI agents with reinforcement learning can be challenging because their tools, context, and decision-making are managed by complex frameworks. Agent Lightning connects existing agents to RL training, making it easier to improve them without rebuilding them. The post Agent Lightning v1.0: A 3,500-Line…
| _Source: microsoft-research |
Published: 2026-10-07T16:00:00+00:00 |
Score: 30.0_ |
- What AI gets wrong and what failure teaches us
Jennifer Neville did not want to go into computer science—but that’s exactly where she landed. Neville discusses the starts and stops that led to her professional sweet spot and her work identifying “surprising failures” making it hard for AI to handle complexity. The post What AI gets wrong and what failure…
| _Source: microsoft-research |
Published: 2026-10-06T16:19:06+00:00 |
Score: 30.0_ |
- Forecasting space weather risks on power grids
Extreme space-weather events can damage power systems on Earth and degrade GPS accuracy and satellite operations. A new machine learning system can predict where damage is likely to occur 30-60 minutes before a storm arrives. The post Forecasting space weather risks on power grids appeared first on Microsoft Research .
| _Source: microsoft-research |
Published: 2026-09-30T16:00:00+00:00 |
Score: 30.0_ |
- The model that didn’t exist, so you made it yourself
No summary available.
| _Source: huggingface |
Published: 2026-10-08T00:00:00+00:00 |
Score: 24.0_ |
Key Trends This Batch
- ai-agents appeared in 3 high-priority items.
- openai appeared in 3 high-priority items.
- microsoft-research appeared in 3 high-priority items.
Watchlist
Compiled from 27 normalized items and 14 selected highlights.
Generated at 2026-10-11T03:39:32.508544+00:00.