You can reduce your model’s carbon emissions by being choosy about when and where you train it.

Microsoft tightened the reins on both AI developers and customers.What’s new: The tech titan revised its Responsible AI Standard and restricted access to some AI capabilities accordingly.

A homebrew re-creation of OpenAI’s DALL·E model is the latest internet sensation. Craiyon has been generating around 50,000 user-prompted images daily, thanks to its ability to produce visual mashups like Darth Vader ice fishing and photorealistic Pokemon characters.

Machine learning is helping lawyers sift through mountains of documents to find evidence. The legal technology company Everlaw launched a clustering feature that automatically organizes up to 25 million documents for lawyers gathering evidence to be used during a trial.

A new benchmark aims to raise the bar for large language models. Researchers at 132 institutions worldwide introduced the Beyond the Imitation Game benchmark (BIG-bench), which includes tasks that humans perform well but current state-of-the-art models don’t.

Adding layers to a neural network puts the “deep” in deep learning, but it also increases the chance that the network will get stuck during training. A new approach effectively trains transformers with an order of magnitude more layers than previous methods.

A chatbot persuaded at least one person that it has feelings. A senior engineer at Google announced his belief that the company’s latest conversational language model is sentient.

OpenAI’s text-to-image generator DALL·E 2 produces pictures with uncanny creativity on demand. Has it invented its own language as well? Ask DALL·E 2 to generate an image that includes text, and often its output will include seemingly random characters.

AI startups are helping writers tailor articles that appear near the top of Google’s search results. At least 14 companies sell access to software that uses GPT-3, the language model from OpenAI, to generate headlines, product descriptions, blog posts, and video scripts.

Let’s get this out of the way: A brain is not a cluster of graphics processing units, and if it were, it would run software far more complex than the typical artificial neural network. Yet neural networks were inspired by the brain’s architecture.

Researchers took a step toward achieving a longstanding goal: One model that performs a whole lot of very different tasks. Scott Reed, Konrad Żołna, Emilio Parisotto and a team at DeepMind announced Gato.

Itching to get your hands on a fully trained large language model? The wait is over. Meta introduced the OPT family of transformer-based language models with nearly unfettered access to source code and trained weights.

The emerging generation of trillion-parameter language models take significant computation to train. Activating only a portion of the network at a time can cut the requirement dramatically and still achieve exceptional results.

Marketers are using fake social media personas — enhanced by AI-generated portraits — to expand their reach without busting their budgets.

A group of media and technology experts is working to give AI a better understanding of indigenous peoples. IVOW is a consultancy that aims to reduce machine learning bias against cultures that are underrepresented in training data by producing knowledge graphs and other resources.