Even 175-year-old Companies Can Join The AI Boom

May 6, 2026 20m

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Episode Description

Corning and Nvidia partnered to open three optical manufacturing plants in the US, with Nvidia investing up to $2.7B. Morgan Stanley launched crypto trading on ETrade, Google tests a personal agent called Remy, and Meta builds an OpenClaw-inspired agent called Hatch.* Corning and Nvidia partner to open three advanced manufacturing plants in North Carolina and Texas dedicated to optical tech for Nvidia, creating 3,000+ jobs (CNBC) Morgan Stanley rolls out a crypto trading pilot on E*Trade, charging less than Coinbase, Robinhood, and Charles Schwab, ahead of a wider launch later in 2026 (Bloomberg) Sources and a document: Google is testing a "personal agent" codenamed Remy in the Gemini app that integrates with Google services to take actions for users (Business Insider) Sources: Meta is building an OpenClaw-inspired agent, internally called Hatch and powered by its Muse Spark model, and an agentic shopping tool in Instagram (The Information) OpenAI partners with Microsoft, AMD, Broadcom, Nvidia, and Intel researchers to detail the Multipath Reliable Connection (MRC) protocol to help scale compute (The Deep View) Learn more about your ad choices. Visit megaphone.fm/adchoices

AI-Generated Summary

The Surge in AI and Tech Infrastructure Investments

The episode highlights a significant shift in the tech industry, with 175-year-old companies like Corning pivoting into the AI and digital economy. Corning, in partnership with Nvidia, is opening advanced optical manufacturing plants in North Carolina and Texas, creating over 3,000 jobs. Nvidia is investing up to $2.7 billion to develop optical tech for AI infrastructure, which promises vastly increased data transfer speeds and energy efficiency through fiber optics, replacing traditional copper cables. The focus on optical technology underscores a broader trend of building more efficient, high-capacity infrastructure to support AI workloads and data processing. Additionally, Meta is developing an OpenClaw-inspired agent called Hatch to improve user experience in shopping and multitasking through AI, aiming for a 'personal super intelligence' that can assist users seamlessly.

Advancements in AI Tools and Consumer Applications

Major tech firms are racing to develop autonomous AI agents for personal and enterprise use. Google is testing Remy, a personal agent integrated with its Gemini app, capable of executing multi-step tasks and integrating across services like Gmail and Drive. Meanwhile, Meta is building Hatch, an agent modeled after OpenClaw, designed to understand user goals and perform tasks such as shopping within Instagram. These agents are part of a larger move toward AI-powered interfaces for shopping, working, and everyday life, with companies like Google, Meta, and Amazon launching virtual shopping assistants. However, challenges remain, including platform resistance and reliability concerns, especially around trust and dependence on AI agents in commerce and daily tasks.

Innovations in AI Infrastructure and Networking Protocols for Scaling Models

OpenAI, in collaboration with industry giants like AMD, Broadcom, Intel, Microsoft, and Nvidia, has introduced a new networking protocol named Multi-Path Reliable Connection (MRC) aimed at tackling congestion and failures in large GPU clusters. This protocol enables faster, more reliable training of AI models by distributing data across multiple network paths and rerouting around failures in microseconds. It incorporates advanced routing techniques such as packet spraying and segment routing, significantly improving the efficiency of GPU clusters. These technological advancements are critical for scaling AI models, reducing energy consumption, and ensuring seamless training of ever-larger AI systems, representing a critical step toward computational sustainability and capability.