Researchers have spent years warning that text-generation algorithms can spew bias and falsehoods. Tech giants are rushing them into products anyway.

30 years ago the technology industry attempted to import Lean practices — it failed. Instead of “continuous improvement,” progress halted…

We already have Google, so why expect ChatGPT to have all the answers, asks an academic? Here he outlines how to make creative use of its capabilities.

‘Large language models’ supply grammatically correct answers but struggle with calculations.

The company behind ChatGPT now employs around 1,000 people around the world to label data and help OpenAI’s models learn software engineering tasks.

A casual analysis of our current design industry compared to the old days and principles, and why it's important to step back and re-think…

As rich people plough money into ventilation to protect themselves, those with long Covid are treated as an embarrassment, says Guardian columnist George Monbiot

People often limit their creativity by continually adding new features to a design rather than removing existing ones

It took us two years to decide that AI is a force-multiplier for great writers. Here’s what we’ve learned in our experimentation with generative AI and human, and how you can make it work for you.

It’s always difficult admitting you’re wrong. But sometimes, it’s exactly what you have to do in the face of overwhelming evidence to the contrary. So, today, I admit that I was wrong about Google, Facebook, and surveillance capitalism in general being toxic for our human rights and democracy. You see, it simply cannot be true given how they are endorsed by some of the most well-respected groups and organisations in the world.

Recent technological developments are transforming the basic terms of worker compensation. Rather than receive a salary or predictable hourly wage, workers in the on-demand economy are often paid…

This is no ordinary next big thing for Silicon Valley.

CNET's AI-generated articles appear to show deep structural similarities, amounting to plagiarism, with previously published work elsewhere.

My amusement turned to horror: it took ChatGPT 30 seconds to create, for free, an article that would take me hours to write

With the rise of the popular new chatbot ChatGPT, colleges are restructuring some courses and taking preventive measures.

A TIME investigation reveals the difficult conditions faced by the workers who made ChatGPT possible

The long read: So much is happening, both wonderful and terrible – and it matters how we tell it. We can’t erase the bad news, but to ignore the good is the route to indifference or despair

OpenAI is working on a way to watermark text, according to a guest researcher working at the lab. But it's limited in key ways.

A new wave of chat bots like ChatGPT use artificial intelligence that could reinvent or even replace the traditional internet search engine.

Robot vacuum companies say your images are safe, but a sprawling global supply chain for data from our devices creates risk.

The move follows a heated public debate between artists and tech companies over how text-to-image AI models are trained.

Game industry artist Martin Nebelong recently started experimenting with ChatGPT, and discovered he was able to quickly create an entire "choose your adventure"-style adventure game through the AI text generator. Taking that a step further, he then took the ChatGPT...

Two internet sensations give non-nerds a turn at artificial intelligence, yielding surprising wit and stunning avatars.

By understanding trauma, we can craft user experiences that are more sensitive to the needs of everyone.

By Donella Meadows~ Folks who do systems analysis have a great belief in “leverage points.” These are places within a complex system (a corporation, an economy, a living body, a city, an ecosystem) where a small shift in one thing can produce big changes in everything. This idea is not unique to systems analysis — […]

I wrote this how-to guide with the immensely helpful counsel and insights from Bex Leon and Robin Fanning, as well as through an online…

Konstantinos Komaitis & Louis-Victor de Franssu say Mastodon’s decentralization raises questions about how regulatory regimes will apply.

The Galactica large language model (LLM) is being trained with millions of pieces of academic content. It is designed to help the research community better manage the "explosion of information."

Every time I post something that gets lots of engagement, I essentially end up carrying out a denial of service attack on myself. What does this say about the design of Mastodon and ActivityPub and the future of the fediverse?