Editor’s Note:

Today, we're diving deep into the world of AI, where the lines between human and machine are blurring. From Apple's quest to make AI accessible to everyone to Google's groundbreaking discovery of vulnerabilities using AI, it's clear that AI is not just the future, but the present.

We'll also explore the cutting-edge field of telemetry pipelines and how Microsoft's Copilot is set to transform data analysis.

And for those of you who want to get hands-on with AI, our Resource Spotlight has a collection of tools and code to help you build your own AI projects.

iOS 18.2 will let you upgrade to ChatGPT Plus directly from Settings app

Apple’s upcoming iOS 18.2 update is set to streamline access to premium AI services by allowing users to upgrade to ChatGPT Plus directly from the Settings app. This integration marks a major step in the tech giant’s effort to make advanced artificial intelligence tools more accessible for eligible iPhone and iPad users. The rumours are that the iOS 18.2 update will be out in a stable version in the first week of December.

Google uses large language model to discover real-world vulnerability

Researchers at Google said on Friday that they have discovered the first vulnerability using a large language model. In a blog post, Google said it believes the bug is the first public example of an AI tool finding a previously unknown exploitable memory-safety issue in widely used real-world software.

Shifting left with telemetry pipelines: The future of data tiering at petabyte scale

Shifting left in observability and security involves analysing telemetry data early in its lifecycle. Telemetry pipelines route data to different tiers based on value, optimising cost and performance. This tech-focused approach improves efficiency, security, and scalability in managing and analysing massive data volumes.

Announcing GitHub Copilot in Data Wrangler - Python

Microsoft has integrated Copilot into Data Wrangler. This allows users to use natural language to clean and transform data, fix errors in code, and generate specific code for a given dataset. The integration provides data context to Copilot for more accurate and relevant code generation.

Resource Spotlight:

Code

• ExplainX- ExplainX is a fast, lightweight, and scalable explainable AI framework for data scientists to explain any black-box model to business stakeholders.

• AIMACode - Source code for "Artificial Intelligence: A Modern Approach" in Common Lisp, Java, and Python. More to come.

• FANN - Fast Artificial Neural Network Library, native for C

• FARGonautica - Source code of Douglas Hosftadter's Fluid Concepts and Creative Analogies Ph.D. projects.