The AI Exchange: Mastering OpenClaw & Google’s JAX with Mark, Ashish, and Santiago
Автор: Elephant Scale
Загружено: 2026-03-11
Просмотров: 28
Описание:
In this episode, Mark, Ashish, and Santiago dive deep into the rapidly shifting landscape of AI in 2026. From the practicalities of high-scale web scraping with OpenClaw to the strategic implementation of AI in the corporate world, we explore how leaders and developers are navigating the "Age of AI."
We also break down Andrew Ng’s latest insights on digital marketing and why the industry is moving toward "agentic workflows." Finally, we nerd out on JAX by Google, the powerhouse framework behind some of the world's most advanced foundation models.
Key Topics Covered:
🌐 Web Scraping with OpenClaw: Discover the best practices for using OpenClaw’s web_fetch and browser tools. We discuss when to use simple HTTP-only scraping versus full browser automation, and how to use Firecrawl integration for stealthy, anti-detection scraping at scale.
🏢 AI in the Corporate World: How companies are moving beyond "bottom-up" experimentation to transformative business integration. We discuss the shift from automating tasks to redesigning entire workflows using AI agents.
📈 Digital Marketing in the Age of AI (feat. Andrew Ng): Summarizing Andrew Ng's 2026 vision: Why coding is becoming a "durable skill" for marketers and how generative AI is shifting from simple content creation to sophisticated marketing analytics and personalized consumer journeys.
⚡ Deep Dive: JAX by Google: Why frameworks like JAX are winning the "performance war." We discuss Just-In-Time (JIT) compilation via XLA, automatic vectorization (vmap), and why JAX is the go-to for high-performance numerical computing and large-scale model training.
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