Tech Brew Ride Home

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

· Summarized

Share this episode
Anyone with this link can open it.
Share Link
Start at 0:00

Key takeaways

  • 175-year-old companies like Corning are innovating and investing heavily in optical tech to support AI infrastructure, creating thousands of jobs.
  • Major financial firms like Morgan Stanley are entering the crypto space with lower-cost trading platforms and expanded services, intensifying competition in digital assets.
  • Google and Meta are developing advanced AI agents, with Google testing Remy across services and Meta creating Hatch for personal assistance and shopping, signaling a shift toward AI-powered interfaces.
  • OpenAI and industry leaders are addressing the AI compute crunch by developing new networking protocols like MRC, which improve GPU cluster efficiency and scalability.
  • Despite technological progress, enterprise AI adoption is hindered by a lack of clarity among CEOs about where real value lies, underscoring the importance of strategic implementation.

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.

Sponsors

  • Doppel · Disguises are getting pretty good these days and I'm not just talking about when you throw on a pair of glasses and a hoodie and hope you won't be recognized. We're talking about the kind of disguises that end up in your inbox on your phone or on the web blending in as your everyday internal emails, casual text messages or just a normal website. Doppel strengthens team resilience by giving employees the tools and defenses they need to protect themselves from increasingly sophisticated social engineering threats. Their digital risk protection takes it one step further by keeping an eye on every channel to connect patterns and shut them down fast. From deepfakes to bad links to impersonation attempts, Doppel helps you stay ahead of these threats with their AI Native Social Engineering Defense platform.

Show notes

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)

Follow this show on AudioBrevity and new episodes get summarized for you. Create a free account

Couldn't load the audio. A blocker may be stopping the show's tracking links. Open the file