Welcome to the AviaryAI Newsletter!

Thanks for joining us as we explore the intersection of GenAI and finance with practical learnings and the latest relevant insights. Let’s get started.

This week you’ll learn:

• 🔍 ChatGPT gets real-time search capabilities
• ⚙️ AI coding transformation at Google - 25% of code written by AI
• 🔬 AI breaks new ground in digitizing human senses
• ⚡ Making sense of AI response times
• 💰 Understanding Big Tech's massive AI investments

Subscribe to the AviaryAI Newsletter here.

‍

‍

GENERATIVE AI THIS WEEK 
The coolest things we're watching and why you should care
‍

‍

OpenAI Launches ChatGPT Search

ChatGPT has integrated live web search capabilities through partnerships with Reuters, Financial Times, and other major news outlets. The update allows users to access current market data, news, and analysis with source citations, while maintaining conversational context. The system includes specialized displays for stocks, weather, and news, automatically determining when to search based on user queries.

So what?

Real-time data access combined with conversational AI creates a new approach to research and information gathering. It’s now possible to explore complex topics through natural dialogue while pulling from verified, current sources – effectively compressing multi-step research processes into single, focused conversations.

Learn more about ChatGPT Search here

‍

‍

‍

Google's AI Now Writes 25% of Its Code

Google CEO Sundar Pichai revealed that AI now generates over 25% of the company's new code, with human engineers reviewing and managing these AI contributions. This milestone comes alongside reports that traditional software development jobs have dropped 30% compared to pre-pandemic levels, while demand for AI-savvy talent soars. In fact, 66% of business leaders now say they won't consider candidates without AI skills, regardless of experience level.

So what?

When AI handles routine tasks, small teams can tackle previously impossible projects. This means institutions can finally break free from the "we're too small" mindset that often holds back innovation. Start small: encourage teams to experiment with AI coding tools on low-risk projects, building confidence and capabilities gradually. The goal isn't to become Google - it's to multiply your team's impact without multiplying headcount.

Read the full story here

‍

‍

‍

AI “Teleports” Scent Through Digitization

Osmo, a digital olfaction company, has achieved a remarkable breakthrough in AI-powered "scent teleportation." Their system can now analyze, transmit, and reproduce exact scents without human intervention - a first in the field. Using specialized sensors and molecular printers, the technology can capture a scent's chemical profile in one location and perfectly recreate it elsewhere, all managed by AI.

So what?

The digitization of smell - long considered too subjective and complex to measure - reveals AI's accelerating ability to quantify and replicate human sensory experiences. This breakthrough represents yet another "impossible" accomplishment achieved through AI.

Read the full story here

‍

‍

‍

GENERATIVE AI WORD OF THE DAY

Latency

Latency in the context of AI is the time it takes for an AI system to respond after you've given it a task - think of it as the "thinking time" between your request and the response. In the real world, it's like the delay between pressing a button on your TV remote and seeing the channel actually change. For AI systems, lower latency is generally better because it means faster responses and a smoother user experience and is particularly crucial in use-cases such as live chat or voice agent conversation.

‍

GENERATIVE AI IN FINANCE

The latest news at the intersection of GenAI and Finance

AI Arms Race Drives Historic Tech Infrastructure Spend

Tech giants are betting big on AI, with companies like Microsoft, Meta, and Amazon dramatically increasing their infrastructure spending to unprecedented levels. Microsoft's quarterly capital expenditure now exceeds what it used to spend annually before 2020, while Amazon projects $75 billion in spending this year alone. However, Wall Street is growing increasingly anxious about these massive investments, with share prices taking hits despite strong quarterly performances. Adding to the complexity, supply chain constraints - particularly in AI chips - are creating bottlenecks that limit how quickly companies can build out their AI infrastructure.

So what?

We're witnessing a historic investment in AI infrastructure that mirrors the early days of cloud computing – and we all know how that transformed business. While tech giants pour billions into building the foundation, they're essentially paving the way for widespread AI adoption. This massive infrastructure build-out will ultimately lead to more accessible, reliable, and cost-effective AI solutions for everyone.

Read the full story here

‍

‍

About AviaryAI

AviaryAI is the next evolution of financial interaction. Enhance your team with proactive outbound voice agents to welcome new members, encourage credit card activations, and drive non-interest revenue.

‍