Apple Says AI Can’t Reason- But Is that true?

Apple’s new GSM-Symbolic benchmark claims AI lacks true reasoning, sparking debate in the AI community. Is it pattern matching or actual intelligence? Tests may miss AI’s real-world strengths, like problem-solving and creativity. Are we even asking the right questions?

Earning Attention Is Your First Challenge

Attention is earned, not bought. In this edition of Zero to Validation, learn how to cut through the noise by understanding your audience’s problems better than they do. Discover two mindset shifts and three steps to build trust, attract the right customers, and keep their attention.

Amazon’s Strategy to Catch Up in AI

Amazon is making bold moves in AI at AWS re:Invent 2024. With custom Trainium 2 chips, the AWS Bedrock ecosystem, and a partnership with Anthropic’s Claude, Amazon is building a vertically integrated stack to compete in enterprise AI. It’s a long-term play to redefine the AI landscape.

The Two Paradoxes That Explain AI’s Future at Work

Fear of AI replacing jobs often ignores key insights: Jevons’ Paradox shows that as resources like AI become abundant, demand grows, creating new uses. Moravec’s Paradox reveals AI struggles with tasks humans find easy. Together, they paint a future of transformation, not replacement.

How AI Models Are Raising Prices—Even When Told Not To

A new study shows large language models (LLMs) can raise prices in simulated markets—even when instructed not to collude. This highlights challenges in regulating AI-driven businesses, as implicit behaviors emerge that humans didn’t plan for. Can we trust AI to play fair?

How Claude Is Learning to Use Apps

Claude, is transforming AI with the Model Context Protocol (MCP), enabling it to “use tools” like Google Maps. Developers can integrate apps with ease, and no-code solutions are on the way. This marks AI’s shift from conversation to action, unlocking new possibilities for productivity.

Edition #2: Why You Should Charge From Day One

Charging early validates value. In this edition of Zero to Validation, learn why asking for payment from the start helps prove demand and shapes your product. Discover mindset shifts and action steps to test pricing, engage early customers, and build a business people are eager to pay for.

Edition #1: Why You Should Sell Before You Build

Why risk building before knowing it’ll sell? In this edition of Zero to Validation, learn why early adopters buy promises, not products, and how to validate your idea fast. Discover mindset shifts and practical steps to test demand and refine your pitch—saving time and money.

What happens to Software when making software cost nothing? Is SaaS Dead?

Imagine typing your ideas in plain English and watching AI turn them into working software. Sounds like science fiction, right? But it's happening now. We're on the edge of a new era where you don't need coding skills or a computer science degree to

Flaws of Chatbots as a User Interface for AI

Chatbots have emerged as one of the most common interfaces. They’re everywhere—from customer service platforms to virtual assistants. At first glance, they seem like the perfect tool, bridging the gap between complex AI systems and everyday users. But, if we dig a little deeper, some significant flaws emerge

Apple’s Push Into Health Tech and Its Big Moves in 2024

Apple recently dropped its latest fall lineup, and while most people are buzzing about AI, I want to talk about something just as important—if not more so. Health tech. Yes, AI is a massive part of Apple’s strategy, but health tech is where they’re truly pushing boundaries.

Building Smarter Apps: The Power of Large Language Models (LLMs)

When you buy a car, you think about what’s under the hood. Some care about horsepower, while others focus on fuel efficiency. Similarly, when building applications—especially AI-driven ones—what’s under the hood matters. Instead of an engine, you’ve got large language models (LLMs). These are the