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Rethinking programming

O'Reilly

The programming world will increasingly be split between highly trained professionals and people who don’t have a deep background but have a lot of experience building things. We need to think about how programming is taught. Like reading, some people learn how to code with little training, and others don’t.

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Technology predictions for 2024: Dynatrace expectations for observability, security, and AI trends

Dynatrace

That’s why many organizations are turning to generative AI—which uses its training data to create text, images, code, or other types of content that reflect its users’ natural language queries—and platform engineering to create new efficiencies and opportunities for innovation. No one will be around who fully understands the code.

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Teaching Programming in the Age of ChatGPT

O'Reilly

Imagine for a minute that you’re a programming instructor who’s spent many hours making creative homework problems to introduce your students to the world of programming. One day, a colleague tells you about an AI tool called ChatGPT.

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What is IT automation?

Dynatrace

IT automation is the practice of using coded instructions to carry out IT tasks without human intervention. At its most basic, automating IT processes works by executing scripts or procedures either on a schedule or in response to particular events, such as checking a file into a code repository. What is IT automation?

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The ChatGPT Surge

O'Reilly

ChatGPT might simplify common tasks, from doing research to writing essays to basic programming, so many people want to use it to save labor—though getting it to do quality work is more difficult than it seems at first glance. Users can train these models to do whatever they want. So there are plenty of reasons for ChatGPT to surge.

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Getting the Right Answer from ChatGPT

O'Reilly

As a short programming project, a number of years ago I made a list of all the prime numbers less than 100 million. There’s probably a big list of prime numbers somewhere in its training set.) ChatGPT gave me a bunch of Python code that implemented the Miller-Rabin primality test, and said that my number was divisible by 29.

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Model Collapse: An Experiment

O'Reilly

Ever since the current craze for AI-generated everything took hold, I’ve wondered: what will happen when the world is so full of AI-generated stuff (text, software, pictures, music) that our training sets for AI are dominated by content created by AI. At some point in the near future, new models will be trained on code that they have written.