As AI comes for podcasting (and everything else), humans are equipping listeners with research, nuance, and ways to fight back.

Are AI toys the future of playtime or a risk to emotional development? A collaboration between Mattel and OpenAI raises sobering questions.

Three years in, one of AI’s enduring impacts is to make people feel like they’re losing it.

Newly announced catalog collects pre-2022 sources untouched by ChatGPT and AI contamination.

In the years since Automation and the Future of Work first appeared, a new wave of technological enthusiasm has swept across the popular imagination. The catalyst this time has been the rapid advances in generative artificial intelligence, spearheaded by companies like OpenAI, Google DeepMind, and Meta. Once again, a c

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Remarks from an in-person debate, 'L’IA en question, questions à l’IA', a two-day event at the Centre Pompidou, Paris, on May 24/25. The event focused on debates about the role of AI in contemporary society.

A trio of specialists discusses how artists can respond to the environmental cost of generative AI with Diane Drubay

Three years of progress as shown by marine mammals

Will new technology help to make the world a better place, or is AI just another tech bubble that will benefit the few?

The rapid development of AI is already changing how journalists operate. Reporters, editors, executives, and others across the news industry share their advice on how to engage—and where to draw the line.

AI is advancing at such speed that speculative moral questions, once the province of science fiction, are suddenly real and pressing, says Finnish philosopher and psychology researcher Frank Martela.

A humorous exploration of the uncanny resemblance between AI company logos and human anatomy. Discover why circular, gradient-based designs dominate the AI industry, and what this design convergence tells us about branding in tech.

Mikael Brunila argues for a politics of opacity in the face of AI dominance.

S&P Global Market Intelligence ran a survey last month, “Voice of the Enterprise: AI & Machine Learning, Use Cases 2025.” They spoke to 1,006 businesses in Europe and North America. [Teleco…

"The most powerful new data center GPUs for AI workloads can consume as much as 700 watts apiece. With a 61% annual utilization, that would account for about 3,740,520 Wh or 3.74 MWh per year per GPU, fueling concerns about the availability of power and environmental impacts" Millions of these chips are being sold every year. https://www.tomshardware.com/desktops/servers/a-single-modern-ai-gpu-consumes-up-to-37-mwh-of-power-per-year-gpus-sold-last-year-alone-consume-more-power-than-13-million-households

Soundtrack: Mack Glocky - Chasing Cars Last week, I spent a great deal of time and words framing the generative AI industry as a cynical con where OpenAI's Sam Altman and Anthropic's Dario Amodei have used a compliant media and braindead investors to frame unprofitable, unsustainable, environmentally-damaging and mediocre cloud

Are we going to run out of electricity to power our data-driven future?

The development and training of AI systems depend on hundreds of millions of data workers. Many of them are situated or displaced from the global majority.

Why it does not make sense to move faster when heading the wrong way.

The near future could see AI assistants that forecast and influence our decision-making at an early stage, and sell these developing “intentions” in real-time to companies that can meet the need –

Data center emissions have tripled since 2018. As more complex AI models like OpenAI’s Sora see broad release, those figures will likely go through the roof.

We fear and yearn for “the singularity.” But it will probably never come.

archived 13 Apr 2023 15:43:30 UTC