Issue 26

Highlights

A group behind Stable Diffusion wants to open source emotion-detecting AI

In 2019, Amazon upgraded its Alexa assistant with a feature that enabled it to detect when a customer was likely frustrated — and respond with proportionately more sympathy. If a customer asked Alexa to play a song and it queued up the wrong one, for example, and then the customer said “No, Alexa” in an

The AI Safety Landscape

An overview of the current stance on AI safety from the leaders in the field of AI research and development, and other notable figures…

No utopia: experts question Elon Musk’s vision of world without work

Using AI to create less and better work would benefit society but getting rid of it altogether would be unproductive, experts say Oscar Wilde thought hard work “the refuge” of those with nothing better to do while he envisaged a society of “cultivated leisure” as machines performed the necessary and unpleasant tasks.

Video

Andreas Erben - Humans In AI

Dive into the captivating world of AI with Andreas. As an AI enthusiast and innovator, he explores the transformative power of AI, sharing exciting stories from the field. Join Andreas as he works on groundbreaking projects, shaping the future of our humanity in the era of AI. Don't miss this thrilling exploration into the heart of the AI revolution!

Articles

Google DeepMind’s robotics head on general purpose robots, generative AI and office WiFi

Earlier this month, Google’s DeepMind team debuted Open X-Embodiment, a database of robotics functionality created in collaboration with 33 research institutes. The researchers involved compared the system to ImageNet, the landmark database founded in 2009 that is now home to more than ...

AI is not the problem, prime minister – the corporations that control it are | John Naughton

Despite Rishi Sunak’s summit and Joe Biden’s executive order on the safety of AI, it’s the tech giants that really need reining in...

ML Ops for Large Language Models

In the world of artificial intelligence, large language models have gained significant attention for their ability to generate human-like text. However, deploying and monitoring these models in production requires specialized techniques and tools. ML Ops, a combination of machine learning and DevOps principles, plays a crucial role in managing and maintaining the performance and safety of large language models.

The generative AI power law: How data diversity will influence adoption

Our research indicates that the adoption of generative artificial intelligence is occurring across a variety of frameworks with diverse deployment models, data sets and domain specificities. The transformative power of generative AI for industries is colossal, and we are convinced that AI will gravitate to where data lives.

Frontier Model Forum updates

Together with Anthropic, Google, and Microsoft, we’re announcing the new Executive Director of the Frontier Model Forum and a new $10 million AI Safety Fund.

Model says her face was edited with AI to look white: ‘It’s very dehumanizing’

Shereen Wu says leading designer uploaded altered picture, amid fears AI could ‘turn back the clock’ on progress in the industry...

Upcoming events

12 December | Global AI Conference 23

The Global AI Conference is an event that brings together AI fans from all over the world. It's put together by the Global AI Community. You can jump into the worldwide livestream, check out a local conference in person, or chat and connect with experts on our Discord Channel. It's a great opportunity to dive deep into the world of AI, so don't miss out!