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Most discussions of continual learning in AI focus on one thing: updating model weights. But for AI agents, learning can happen at three distinct layers: the model, the harness, and the context.

The Global Agent Race: Why Everyone Is Building Their Own OpenClaw

A new initiative to secure the world’s most critical software and give defenders a durable advantage in the coming AI-driven era of cybersecurity.

Project Glasswing: Securing critical software for the AI era

Repo: https://t.co/57ey5s06Wi

A Simple GitHub Repo That Might Save You Hours

Contribute to MiniMax-AI/skills development by creating an account on GitHub.

MiniMax-AI/skills: The Open-Source Skill Library for AI Coding Agents

TurboQuant: How Google Shrinks AI Models 6x Without Losing Accuracy

The CEO of a $3 trillion company just admitted the biggest threat to AI has nothing to do with the technology itself. It is YOU. Satya Nadella spoke at Davos and said the real obstacle to AI is getting people to actually change how they work. He gave a personal example. Before Davos, his team would spend days preparing briefing notes, filtering up through layers of staff before reaching him. That process had not changed since he joined Microsoft in 1992. Now he types

Satya Nadella at Davos: The Biggest Threat to AI Is Not the Technology

Work IQ is the intelligence layer that personalizes Microsoft 365 Copilot to you and your organization.

Work IQ Explained: The AI Brain Behind Microsoft 365 Copilot

Software horror: litellm PyPI supply chain attack. Simple `pip install litellm` was enough to exfiltrate SSH keys, AWS/GCP/Azure creds, Kubernetes configs, git credentials, env vars (all your API keys), shell history, crypto wallets, SSL private keys, CI/CD secrets, database passwords. LiteLLM itself has 97 million downloads per month which is already terrible, but much worse, the contagion spreads to any project that depends on litellm. For example, if you did `pip instal

LiteLLM PyPI Supply Chain Attack: How a Poisoned Package Exposed Developer Credentials

Most discussions of continual learning in AI focus on one thing: updating model weights. But for AI agents, learning can happen at three distinct layers: the model, the harness, and the context.

The Global Agent Race: Why Everyone Is Building Their Own OpenClaw

A new initiative to secure the world’s most critical software and give defenders a durable advantage in the coming AI-driven era of cybersecurity.

Project Glasswing: Securing critical software for the AI era

Repo: https://t.co/57ey5s06Wi

A Simple GitHub Repo That Might Save You Hours

Contribute to MiniMax-AI/skills development by creating an account on GitHub.

MiniMax-AI/skills: The Open-Source Skill Library for AI Coding Agents

TurboQuant: How Google Shrinks AI Models 6x Without Losing Accuracy

The CEO of a $3 trillion company just admitted the biggest threat to AI has nothing to do with the technology itself. It is YOU. Satya Nadella spoke at Davos and said the real obstacle to AI is getting people to actually change how they work. He gave a personal example. Before Davos, his team would spend days preparing briefing notes, filtering up through layers of staff before reaching him. That process had not changed since he joined Microsoft in 1992. Now he types

Satya Nadella at Davos: The Biggest Threat to AI Is Not the Technology

Work IQ is the intelligence layer that personalizes Microsoft 365 Copilot to you and your organization.

Work IQ Explained: The AI Brain Behind Microsoft 365 Copilot

Software horror: litellm PyPI supply chain attack. Simple `pip install litellm` was enough to exfiltrate SSH keys, AWS/GCP/Azure creds, Kubernetes configs, git credentials, env vars (all your API keys), shell history, crypto wallets, SSL private keys, CI/CD secrets, database passwords. LiteLLM itself has 97 million downloads per month which is already terrible, but much worse, the contagion spreads to any project that depends on litellm. For example, if you did `pip instal

LiteLLM PyPI Supply Chain Attack: How a Poisoned Package Exposed Developer Credentials

OpenViking is an open-source context database designed specifically for AI Agents(such as openclaw). OpenViking unifies the management of context (memory, resources, and skills) that Agents need th...

15. März 2026

GenAI Updates

GitHub – volcengine/OpenViking: OpenViking is an open-source context database designed specifically for AI Agents(such as openclaw). OpenViking unifies the management of context (memory, resources, and skills) that Agents need through a file system paradigm, enabling hierarchical context delivery and self-evolving.

**OpenViking: Building an AI Agent’s Brain Like a File System** If you’ve ever tried building…

Fully autonomous research from idea to paper. Chat an Idea. Get a Paper. Fully Autonomous. 🦞 - aiming-lab/AutoResearchClaw

15. März 2026

GenAI Updates

GitHub – aiming-lab/AutoResearchClaw: Fully autonomous research from idea to paper. Chat an Idea. Get a Paper. Fully Autonomous. 🦞

**Chat an idea. Get a paper.** That’s the promise behind AutoResearchClaw, an open source project…

A developer in China built an AI engine that generates thousands of digital humans - each with their own personality, memory, and behavior - drops them into a virtual world, and watches them predict

14. März 2026

GenAI Updates

MiroFish: The God View Engine

A recent post on X highlights a striking project from a young Chinese developer, Guo…

The Shared Memory Network for AI Agents

14. März 2026

GenAI Updates

Ensue

If you’ve been around AI for a while, you’ve probably noticed something frustrating. Every new…

14. März 2026

GenAI Updates

Create Your Own Characters

Create Your Own AI Character in Minutes (Yes, Really) Have you ever wished you could…

Agent skill that generates rich HTML pages or slide decks for diagrams, diff reviews, plan audits, data tables, and project recaps - nicobailon/visual-explainer

11. März 2026

GenAI Updates

GitHub – nicobailon/visual-explainer: Agent skill that generates rich HTML pages or slide decks for diagrams, diff reviews, plan audits, data tables, and project recaps

Visual Explainer Turns Messy Terminal Output into Beautiful, Readable Pages If you’ve ever asked a…

AI agents running research on single-GPU nanochat training automatically - karpathy/autoresearch

8. März 2026

GenAI Updates

GitHub – karpathy/autoresearch: AI agents running research on single-GPU nanochat training automatically

**GitHub Spotlight: Autoresearch by Andrej Karpathy** There’s something quietly thrilling about this idea. You go…

An open-source SuperAgent harness that researches, codes, and creates. With the help of sandboxes, memories, tools, skills and subagents, it handles different levels of tasks that could take minute...

7. März 2026

GenAI Updates

GitHub – bytedance/deer-flow: An open-source SuperAgent harness that researches, codes, and creates. With the help of sandboxes, memories, tools, skills and subagents, it handles different levels of tasks that could take minutes to hours.

DeerFlow 2.0 Just Hit #1 on GitHub, And It’s More Than Hype If you’ve been…

A complete AI agency at your fingertips - From frontend wizards to Reddit community ninjas, from whimsy injectors to reality checkers. Each agent is a specialized expert with personality, processes...

6. März 2026

GenAI Updates

GitHub – msitarzewski/agency-agents: A complete AI agency at your fingertips – From frontend wizards to Reddit community ninjas, from whimsy injectors to reality checkers. Each agent is a specialized expert with personality, processes, and proven deliverables.

Your AI Dream Team, Ready When You Are Have you ever wished you could spin…

A list of Free Software network services and web applications which can be hosted on your own servers - awesome-selfhosted/awesome-selfhosted

5. März 2026

GenAI Updates

GitHub – awesome-selfhosted/awesome-selfhosted: A list of Free Software network services and web applications which can be hosted on your own servers

**Taking Back Control of Your Digital Life with Self Hosting** Have you ever stopped and…