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AI BIZ HOUR NEWSLETTERThe Reality Gap: Why AI Business Applications Are Revolutionary But Not Yet AGI

May 1, 2023

TODAY'S HIGHLIGHTS:

  • Software development time reduced by 30-40% using AI tools

  • Pricing models emerging as key business strategy for AI adoption

  • Expert consensus: Current AI models show capabilities but aren't truly "intelligent"

  • Practical applications for finding funding sources and market analysis

INTRODUCTION:

In today's AI Biz Hour, hosts AIJohn Allen and Andy Wergedal tackled the gap between AI hype and reality, exploring where artificial intelligence is genuinely transforming business operations while debunking myths about AGI (Artificial General Intelligence). With insights from financial experts, developers, and business leaders, the conversation revealed practical applications that are driving real value today while examining the fundamental limitations that separate current AI models from true intelligence.

MAIN INSIGHTS:

AI's Impact on Software Development Timelines

Andy highlighted how AI is dramatically compressing software development cycles: "Taking a proof of concept and turning it into an enterprise is a whole different cycle, but to go from nothing to something by using AI will literally reduce your overall software development time cycle by 30 to 40%."

He elaborated with a practical example: "If it took you an hour to drive to work, and I said if you use this one thing, you can remove 40% of your time - now it only takes 35 minutes. That's a lot better than an hour."

This transformation allows business ideas to move from concept to proof-of-concept in days rather than weeks or months, with significant cost implications.

The Pricing War in AI Business Models

Sanin, a Chief Revenue Officer, offered detailed analysis on the emerging trends in AI business pricing: "More and more people are price sensitive. If you see something today versus 2 years ago... 2 years ago we had higher price on top, mid price, bottom price. Now it's changed - you have lower price than mid price than higher price."

He explained this trend is driven by "product driven value - we want to bring you into the tech, into the SaaS, into the product. We want to gamify you by giving you something just so you will be around, and then we will work on you to move you up."

Both speakers agreed this pricing strategy is becoming a key competitive approach - with Grok AI confirming value-based pricing as a dominant strategy when queried during the session.

The AGI Reality Check

The discussion featured strong pushback against claims of achieving artificial general intelligence. Andy articulated the fundamental issues with current models: "I don't think there's any intelligence there. There's just abilities to analyze, but you still have to have a human to determine whether or not what it comes up with has any validity."

Graham added important context on consciousness: "Mathematics was created by consciousness, so math can't describe consciousness because it's a suppressant... You cannot make more from less."

The hosts and guests concluded that while current AI tools deliver remarkable value, they fundamentally lack the subjective experience, environmental context awareness, urgency, and self-motivation that define human intelligence.

AI for Finding Funding and Resources

John Allen shared a practical use case that many businesses overlook: "If you want to find funding sources for various projects through either government grants or tax incentives, or what have you - AI is amazing for that type of stuff."

He suggested this as a value-added service for sales professionals: "If you're selling anything, if you can find a way for the person that needs to buy your services or products, how for them to pay for it, it's always a good avenue to go down."

Manus with Replit for Rapid Deployment

JanCarlos detailed his experience with these tools: "You can't do it directly with Manus. You need a platform to actually deploy... Replit is what I use to actually build out stuff. I did spend about $500, but that's across like 16 different apps, and 6 of them I actually really like a lot."

This combination allows for rapid development of functional applications that can be quickly tested, modified, and deployed at a fraction of traditional development costs.

EXPERT CORNER:

Sanin provided expert analysis on financial modeling versus AI capabilities: "Statistically, it can run any model, it can do Monte Carlo, whichever one you want. But if your model is not satisfying 70-80% accuracy, the enrichment of environment is really something AI is not capable to do."

He explained that unlike humans, AI "doesn't understand the use case of the product for itself," which limits its ability to make nuanced financial predictions in complex scenarios.

QUICK HITS:

  • "Nobody talks about 'hey my app is network enabled' or 'my app is on the Internet' - pretty soon everything's going to be utilizing some form of AI." - John Allen

  • "To go from text or speech to action - that will be a game changer." - John Allen

  • "The best AI use I see is the way people prompt. We've gone from simple prompts to super complex prompts." - Sanin

  • "You're moving into a world where 50 cents of profit, when working with both sides of the world, can make you a billionaire." - Yapper

RESOURCES MENTIONED:

  • Virtual Synergy Inc. - Virtual assistants for business

  • Replit - Platform for building and deploying AI applications

  • Manus - AI tool for development

  • Cursor - Development environment for AI

  • AI Tutor - Free courses on using tools like Pixio with video and lip-syncing

COMING UP:

Join us for future discussions on practical AI applications in specific industries and deep dives into emerging AI capabilities beyond large language models.

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Join us live each weekday to be part of the conversation on practical AI business applications. Share your own use cases and challenges with our hosts and community of AI business practitioners. For sponsorship opportunities, reach out to Virtual Synergy Inc.

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