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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

A pixel office for your OpenClaw: turn invisible work states into a cozy little space with characters, daily notes, and guest agents. Code under MIT; art assets for non-commercial learning only. - ...

Personal Agents: When Your AI Actually Shows Up for Work

where this started 36h ago. i've been running growth experiments for 9 years. growth hacking, distribution, conversion optimization. the loop is always the same: hypothesis, test, measure, keep or

a swarm & hermes that grows with you

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

A pixel office for your OpenClaw: turn invisible work states into a cozy little space with characters, daily notes, and guest agents. Code under MIT; art assets for non-commercial learning only. - ...

Personal Agents: When Your AI Actually Shows Up for Work

where this started 36h ago. i've been running growth experiments for 9 years. growth hacking, distribution, conversion optimization. the loop is always the same: hypothesis, test, measure, keep or

a swarm & hermes that grows with you

This video emphasizes that successful AI adoption is a behavioral challenge, not merely a digital transformation. It highlights the need for leaders to drive organizational change, set clear expectations, and align teams beyond simply rolling out AI tools to achieve real business results.

31. Oktober 2025

GenAI Updates

Why AI Adoption Requires a Behavioral Shift, Not Just Digital Transformation

You might think AI is just another tech upgrade, something IT can flip on and…

Chip Huyen, a core developer on Nvidia’s Nemo platform and former AI researcher at Netflix, shares her unique insights into building successful AI products. She is also the author of two widely read books on AI, including 'AI Engineering'. The discussion covers critical aspects of AI strategy, development, and user experience.

31. Oktober 2025

GenAI Updates

AI Engineering 101 with Chip Huyen (Nvidia, Stanford, Netflix)

AI Engineering 101 with Chip Huyen — practical lessons for builders If you’re curious about…

An open-source, code-first Python toolkit for building, evaluating, and deploying sophisticated AI agents with flexibility and control. - google/adk-docs

31. Oktober 2025

GenAI Updates

GitHub – google/adk-docs: An open-source, code-first Python toolkit for building, evaluating, and deploying sophisticated AI agents with flexibility and control.

Meet the Agent Development Kit (ADK) If you’re curious about building smarter, more flexible AI…

The October n8n Livestream showcases product updates, live demos, and community stories. It features early designs for AI Guardrails and Human-in-the-Loop nodes, a Pinecone integration demo, and a community update on n8n coworking sessions. This monthly event offers insights into new features and connects users with the n8n community.

30. Oktober 2025

GenAI Updates

n8n Livestream: AI Guardrails, Pinecone Integration & Community Highlights

n8n Livestream: AI Guardrails, Pinecone Integration & Community Highlights If you caught the October n8n…

The video examines why 95% of AI projects in large companies fail, attributing it to their internal implementation challenges rather than AI's capabilities. It highlights opportunities for startups to fill this gap with agile and value-adding AI solutions.

30. Oktober 2025

GenAI Updates

Good News for Startups: Large Companies Struggle with AI Implementation

Good news for startups: Big companies are tripping over AI, and that opens doors for…

Steve Ruiz discusses tldraw's latest experiments with AI on an infinite canvas. In 2024, tldraw.computer was created as a loose visual programming environment.

30. Oktober 2025

GenAI Updates Published

tldraw.computer – Steve Ruiz, tldraw

tldraw.computer — Steve Ruiz on drawing apps into life I keep thinking about that moment…

This video introduces DSPy, a framework for incorporating Large Language Models (LLMs) into production systems, specifically demonstrating its use in a geospatial conflation pipeline. It addresses the challenges of writing and managing prompts, which can be unruly and vary by model within large AI pipelines. The session explains how DSPy functions and its benefits for pipeline creators and managers in optimizing LLM integration.

30. Oktober 2025

GenAI Updates

Let the LLM Write the Prompts: An Intro to DSPy in Compound AI Pipelines

Let the LLM Write the Prompts: Why DSPy Matters for Real AI Pipelines If you’ve…

Nathan Lambert introduces a taxonomy for next-generation AI reasoning models, identifying four key traits: skills, calibration, strategy, and abstraction. He highlights that current AI models excel in skills and calibration but struggle with strategy and abstraction for long-horizon tasks. The talk emphasizes how developing these two traits is crucial for creating reliable and effective AI agents capable of advanced planning.

30. Oktober 2025

GenAI Updates

A Taxonomy for Next-Gen AI Reasoning: Skills, Calibration, Strategy, and Abstraction

A Taxonomy for Next-Gen AI Reasoning: Skills, Calibration, Strategy, and Abstraction I watched Nathan Lambert's…

This talk explores Agentic GraphRAG, bridging the gap between AI and logical reasoning. It examines how graph databases enhance AI agents, addressing limitations in existing systems, and improving accuracy and reducing AI hallucinations in complex, domain-specific tasks.

30. Oktober 2025

GenAI Updates

Agentic GraphRAG: The Logical Advantage of AI

Agentic GraphRAG: When AI Learns to Think in Networks I watched a talk recently that…

Jon Stewart interviews Geoffrey Hinton, a pioneer in AI, to discuss the rapid advancements in artificial intelligence. They explore the functionality of neural networks, the current capabilities of AI, and Hinton's concerns about the technology's future direction.

30. Oktober 2025

GenAI Updates

AI: What Could Go Wrong? with Geoffrey Hinton | The Weekly Show with Jon Stewart

AI: What Could Go Wrong? A short, human take on Jon Stewart’s chat with Geoffrey…