“Andrew Ng endorses Jensen Huang’s Nvidia letter, calling for open models and robust defense harnesses after the OpenAI–Hugging Face hack. He warns that closed models aren’t safer but represent regulatory capture.”

GenAI PM Daily July 28, 2026. Andrew Ng's comment is framed as support for open models and defense-oriented tooling.

“Andrew Ng announced OpenWorker, an open-source Mac agent (Windows soon) that automates polished deliverables—customer briefs, Slack messages, calendar updates—across your files and tools.”

#8 𝕏 Andrew Ng announced OpenWorker, an open-source Mac agent (Windows soon) that automates polished deliverables—customer briefs, Slack messages, calendar updates—across your files and tools. It’s model-agnostic (GPT-5.6 Sol, Claude Fable, Gemini 3. #9 𝕏 Dharmesh Shah celebrates HubSpot’s public beta launch of Agent Hub and Agent Builder, a toolkit that lets you build custom chat-style AI agents or agentic workflows by mixing your data, tools, and prompts.

“Andrew Ng launched a short course with Cerebras on building LLM applications for fast inference using the Wafer-Scale Engine.”

#14 𝕏 Andrew Ng launched a short course with Cerebras on building LLM applications for fast inference using the Wafer-Scale Engine.

“Andrew Ng says the US Government and Anthropic’s new controls—seen in the Claude Fable 5 release with extra safety guardrails and blocked LLM development—reveal how access to frontier AI can be externally revoked.”

#2 𝕏 Andrew Ng says the US Government and Anthropic’s new controls—seen in the Claude Fable 5 release with extra safety guardrails and blocked LLM development—reveal how access to frontier AI can be externally revoked. #3 𝕏 Harrison Chase recommends ditching the proprietary Claude/Codex harnesses in favor of dcode (Deepagents Code), a model-agnostic harness you can try with FireworksAI’s GLM-5p2 via ``` dcode --model fireworks:accounts/fireworks/models/glm-5p2 ```

“Andrew Ng launched a short Red Hat–built course with Cedric Clyburn on efficient LLM serving, teaching how to quantize 70B-parameter models (cutting a ~140 GB weight load) and use vLLM’s smart memory management for low-latency, concurrent request handling.”

#20 𝕏 Andrew Ng launched a short Red Hat–built course with Cedric Clyburn on efficient LLM serving, teaching how to quantize 70B-parameter models (cutting a ~140 GB weight load) and use vLLM’s smart memory management for low-latency, concurrent request handling. #21 𝕏 Cognition published a deep-dive on their new measurement framework, detailing how they built telemetry pipelines, defined metrics and ran analyses to quantify AI-driven time savings and overall productivity gains.

“Andrew Ng highlights the rise of AI Forward Deployed Engineers—client-embedded specialists customizing and tuning agentic workflows—and predicts that, despite OpenAI and Anthropic expanding FDE teams, AI Engineer roles will far outnumber FDE positions.”

#22 𝕏 Andrew Ng highlights the rise of AI Forward Deployed Engineers—client-embedded specialists customizing and tuning agentic workflows—and predicts that, despite OpenAI and Anthropic expanding FDE teams, AI Engineer roles will far outnumber FDE positions.

“Andrew Ng launched a short course with Google Cloud on building self-evaluating AI agents for image and video generation, teaching three evaluation techniques—image-text similarity scoring, LLM judges for custom criteria, and structured rubrics.”

#12 𝕏 Andrew Ng launched a short course with Google Cloud on building self-evaluating AI agents for image and video generation, teaching three evaluation techniques—image-text similarity scoring, LLM judges for custom criteria, and structured rubrics.

“DeepLearning.AI launched “AI Andrew,” a personalized AI companion that mirrors Andrew Ng’s communication style and mentoring approach for AI, career, and personal growth conversations.”

#9 𝕏 DeepLearning.AI launched “AI Andrew,” a personalized AI companion that mirrors Andrew Ng’s communication style and mentoring approach for AI, career, and personal growth conversations. Plus: the U.S.

“Andrew Ng launched “Transformers in Practice,” an interactive AMD-partnered course taught by Sharon Zhou.”

#15 𝕏 Andrew Ng launched “Transformers in Practice,” an interactive AMD-partnered course taught by Sharon Zhou.

“#17 𝕏 Andrew Ng launched a short course with CopilotKit co-founder @ataiiam teaching three methods to build chat agents that generate custom UIs—charts, forms, whiteboards—or embed third-party apps on demand.”

Andrew Ng is mentioned in connection with a short course on building chat agents with custom UIs.