Criminals are cloning voices and making calls to trick victims into sending them money. How can they be stopped?

Over the last ten months, I've had the privilege of speaking with hundreds of educators here and overseas about generative AI. The emotional and educational reactions range from despair to elation, and everything in between, and often a mixture as well.

Want to really understand large language models? Here’s a gentle primer.

Ever tried to focus on a task, but found your mind wandering to that uncomfortable conversation from yesterday? 

AI scams are becoming more common: Here's what you need to know to keep yourself safe.

Progress in the capabilities of AI systems is predictably driven by progress in three inputs—compute, data, and algorithms.

Eliezer Yudkowsky, a controversial AI theorist, continues to believe that humanity is totally out of its depth when it comes to AI.

Thinking that prompt engineering is the future is to not fully understand what machine learning does.

As it turns out, they didn’t conceal those critical details because the model was too innovative or the architecture too moat-y to share. The opposite seems to be true if we’re to believe the latest rumors:

IAPP Summer Privacy Fellow Will Simpson compiles global regulatory approaches to AI governance.

In the realm of science fiction, artificial intelligence (AI) is often portrayed as a looming threat, a force that could one day surpass and replace humanity. However, this dystopian narrative is far from the reality we are shaping today.

In September 2012, Alex Krizhevsky and Ilya Sutskever, two AI researchers from the University of Toronto, made history at ImageNet, a popular competition in which participants develop software that can recognize objects in a large database of digital images. Krizhevsky and Sutskever, and their mentor, AI pioneer Geoffrey Hinton, submitted an algorithm that was based on deep learning and neural networks, an artificial intelligence technique that the AI community viewed with skepticism because of its past shortcomings.

Some jobs just need the human touch to work, even with automated assistance.

Artificial intelligence is completely dependent on human knowledge and labor. They can’t reliably generate new knowledge.

Nobody knows what around a fifth of your genes actually do. It’s hoped they could hold the secret to fixing developmental disorders, cancer, neurodegeneration, and more.

Plus: Worldcoin just officially launched. Why is it already being investigated?

You can ask an AI art generator to make anything you can think of. But should you?

Metaculus is a community dedicated to generating accurate predictions about future real-world events by aggregating the collective wisdom, insight, and intelligence of its participants.

A new report by the European Commission recommends a three-step approach to introducing AI into the classroom:

A group of legal experts are pressing patent agencies, courts and policymakers to address the question as generative A.I. seems on the brink of invading another uniquely human endeavor.

Khoj is an open-source, AI personal assistant that links up all your knowledge bases. It is a thinking tool that is transparent, fun and easy to engage with. Khoj can help you build faster and better by using an AI assistant to search and reason across your disparate data sources. Khoj learns from your notes, documents, emails to function as an extension of your brain. So that you can stay focused on doing what matters.

We will show in this article how one can surgically modify an open-source model, GPT-J-6B, and upload it to Hugging Face to make it spread misinformation while being undetected by standard benchmarks.

A linguistic anthropologist explains how humans are like ChatGPT – both recycle language.

Unveiling the EU's plan for the metaverse, championing interoperability, user freedom, corporate partnerships, and tailored regulations.

Companies using AI to generate fake people are committing an immoral act of vandalism, and should be held liable.