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Apple CEO defends falling behind

FryAI

Good morning, and thank you for joining us in today’s exploration of the latest AI trends. Let’s have some fun! 😁

(The mystery link can lead to ANYTHING AI-related: tools, memes, articles, videos, and more…)

Today’s Menu

Appetizer: Tim Cook defends Apple’s slow AI development 🙃

Entrée: Microsoft reimagines business with new AI agents 🤖

Dessert: Meta’s new tool uses AI to train AI 🦾

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TIM COOK DEFENDS APPLE’S SLOW AI DEVELOPMENT 🙃

I saw someone robbing an Apple store, so I got called into court as an iWitness. 👁️

What’s up? Apple has fallen behind competitors when it comes to AI, but CEO Tim Cook made some viral comments defending the company’s “careful” approach.

Want some background? Apple’s delayed rollout of its AI platform, Apple Intelligence, is expected to happen on October 28, but it will offer fewer features compared to the AI platforms of competitors like Google and OpenAI. Not to mention, Apple’s key AI features, such as Image Playground and enhanced Siri integration, have been delayed even further. Some expect that these improvements might not arrive until 2025.

What did Cook say? In response to criticism about slow AI development, Cook said, “We weren’t the first to do intelligence. But we’ve done it in a way that we think is the best for the customer.” He said the company is not focused on “running to get something out first … It’s about being the best.”

What’s going on with Apple? While competitors have already launched many more AI tools, Apple is taking a more gradual approach, beginning with basic features like text summarization and priority notifications. Despite being behind in the AI race, Apple is hoping to position its AI products in a way that carefully meets customer needs, rather than rushing to introduce incomplete features. Whether this is actually true or just an excuse for falling behind remains open to interpretation.

MICROSOFT REIMAGINES BUSINESS WITH NEW AI AGENTS 🤖

Microsoft continues to “excel” at this AI stuff. 😆

What’s new? Starting in November, Microsoft will let customers build autonomous AI agents through its new tool, Copilot Studio.

How will this work? Unlike typical chatbots, these autonomous agents require minimal human oversight, allowing them to efficiently handle tasks such as responding to customer inquiries, identifying sales leads, and managing inventory. Customers will be able to easily create these agents using Copilot Studio, without the need for advanced coding skills. In addition to custom-built agents, Microsoft is providing 10 ready-made agents designed to streamline common business operations, including expense tracking and supply chain management.

Why is this important? This move comes as Microsoft and other tech companies, like Salesforce, are trying to leverage AI to deliver real business value. While Microsoft has faced some challenges with Copilot adoption, the company remains optimistic about the role of AI agents in transforming workplace efficiency.

META’S NEW TOOL USES AI TO TRAIN AI 🦾

AI is making major “gains.” 🏋️‍♂️

What’s new? Meta has introduced a tool called the “Self-Taught Evaluator,” which has the potential to reduce the need for human involvement in developing AI systems.

Want the details? The Self-Taught Evaluator uses a “chain of thought” technique, similar to OpenAI’s approach with o1-preview. This technique breaks down complex problems into smaller steps, improving accuracy in subjects like science, coding, and math. What’s unique about Meta’s model is that it was trained entirely with AI-generated data, eliminating the need for human input in that process. This opens the door to building AI systems that can evaluate their own performance and improve without human feedback. Such self-improving AI could replace the costly and labor-intensive process of relying on human feedback, moving AI closer to being able to train itself and carry out tasks independently, without human intervention.

“We hope, as AI becomes more and more super-human, that it will get better and better at checking its work, so that it will actually be better than the average human. The idea of being self-taught and able to self-evaluate is basically crucial to the idea of getting to this sort of super-human level of AI.”

-Jason Weston, Meta AI researcher

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