AI is powerful—but access to AI alone won't eliminate the skills gap. At AI4 2026, @AndrewYNg Ng argued that even as AI capabilities advance, there will continue to be meaningful differences between people who know how to use these tools effectively and those who don't. Rather than framing AI primarily as a threat, he offered a more optimistic message—especially for young people: learn the tools, build the skills, and use AI to expand what you can accomplish. The opportunity isn't simply AI replacing human capability. It's what people can achieve when they learn to work with AI. AI Won't Eliminate the Skills Gap. #ChinaAMC# #CNQQ# #AI4# #AI# #ArtificialIntelligence# #AndrewNg# #AISkills# #FutureOfWork# #FutureOfAI# Risk Disclaimer: Investment involves risk, including possible loss of principal. Any forecasts, projections, or opinions contained herein are for reference only and are not guaranteed to occur. The information in this material reflects prevailing market conditions and our judgment as of the release date, which are subject to change without further notice.

ANDREW NG OPEN-SOURCED A LOCAL AI COWORKER OpenWorker works across files, apps, and integrations to deliver finished work instead of just chatting Repo:

“It’s much more science fiction than science.” AI pioneer Andrew Ng pushes back on fears that AI could lead to human extinction, arguing that cyber threats are real but manageable

Our latest AI Challenge Lab brought together business leaders across six business units with @AndrewYNg and Kirsty Tan at AI Aspire. In just three weeks, teams transformed ideas into working AI prototypes tackling real business challenges.

The weight of a single “Hello.” One simple “Hello” sent @johnternus’s XHunt rankings soaring: AI: #563# Web3: #1#,764 So, who’s paying attention? AI： @elonmusk @AndrewYNg @OfficialLoganK @DrJimFan @tszzl @garrytan @alexandr_wang @soumithchintala @Thom_Wolf Web3： @cobie @saylor @justinsuntron @FEhrsam @RaoulGMI @KyleSamani @ASvanevik Hello, Ternus. Welcome to X. This is XHunt.

At Ai4, three of the world's most respected AI experts—Geoffrey Hinton, Fei-Fei Li, and Andrew Ng—debated regulation, open-source access, and how America can compete as China advances in Asia.

Switch between OpenAI, Anthropic, and Google by changing one line — a library that erases the pain of learning each provider's SDK 🔌 Title: andrewyng/aisuite URL: 🔌 Overview A lightweight Python library by Andrew Ng. It lets you call multiple LLM providers through a unified, OpenAI-style interface. Just specify the model as "provider:model-name" and run the same code across providers. ❓ Challenges Solved Working with multiple LLM providers means memorizing distinct SDKs, APIs, and parameter structures — real development friction. ・aisuite solves this fragmentation problem ・It standardizes requests and responses so you focus on logic, not SDK differences 💡 Key Features ・Chat Completions API: a provider-agnostic layer (supports temperature, max_tokens, tools) ・Agents API: structured agents with tool handling, state persistence, and governance via tool policies ・Toolkits: pre-sandboxed tool families for files, git, and shell operations ・MCP support: natively use any MCP server's tools ・OpenCoworker: a desktop AI agent app built on aisuite It uses a provider adapter pattern, auto-discovering and instantiating providers from the model string per naming conventions. 🌍 Supported Providers / Usage Supports OpenAI, Anthropic, Google, Mistral, Hugging Face, AWS, Cohere, Ollama, OpenRouter, and more (extensible). Create ai.Client() and call with model="openai:gpt-4o" — switching providers is just changing the model string. MIT-licensed. #LLM# #OpenSource#