Artificial intelligence executives have big plans--and they're not cheap. In a recent interview with TIME, Dario Amodei, CEO of AI company Anthropic predicted that the cost to develop the next generation of AI systems that will be released later this year would be around 1 billion. This trend suggests that the generation after that would cost more like 10 billion. Amodei is not the only one preparing for a spending spree. Microsoft and OpenAI are reportedly planning to build a 100 billion supercomputer to build and run AI models.

Gideon Lichfield: He's also the author of an upcoming book about how AI and other technologies will take over the world and possibly threaten the very structure of the nation-state. Mustafa Suleyman (audio clip): We're now going to have access to highly capable, persuasive teaching AIs that might help us to carry out whatever, you know, sort of dark intention we have. And it is definitely going to accelerate harms--no question about it. And that's what we have to confront. Lauren Goode: So, Gideon, Mustafa is a guest who we both wanted to bring on the podcast, though I think for slightly different reasons.

Researchers at Meta, the parent company of Facebook, are working on a new way to understand what's happening in people's minds. On August 31, the company announced that research scientists in its AI lab have developed AI that can "hear" what someone's hearing, by studying their brainwaves. While the research is still in very early stages, it's intended to be a building block for tech that could help people with traumatic brain injuries who can't communicate by talking or typing. Most importantly, researchers are trying to record this brain activity without probing the brain with electrodes, which requires surgery. The Meta AI study looked at 169 healthy adult participants who heard stories and sentences read aloud, as scientists recorded their brain activity with various devices (think: electrodes stuck on participants' heads).

Researchers at Meta, the parent company of Facebook, are working on a new way to understand what's happening in people's minds. On August 31, the company announced that research scientists in its AI lab have developed AI that can "hear" what someone's hearing, by studying their brainwaves. While the research is still in very early stages, it's intended to be a building block for tech that could help people with traumatic brain injuries who can't communicate by talking or typing. Most importantly, researchers are trying to record this brain activity without probing the brain with electrodes, which requires surgery. The Meta AI study looked at 169 healthy adult participants who heard stories and sentences read aloud, as scientists recorded their brain activity with various devices (think: electrodes stuck on participants' heads).

Today, we're announcing a long-term AI research initiative to better understand how the human brain processes speech and text. In collaboration with neuroimaging center Neurospin (CEA) and Inria, we're comparing how AI language models and the brain respond to the same spoken or written sentences. We'll use insights from this work to guide the development of AI that processes speech and text as efficiently as people. Over the past two years, we've applied deep learning techniques to public neuroimaging data sets to analyze how the brain processes words and sentences. AI has made impressive strides in recent years, but it's still far from learning language as efficiently as humans.

Artificial intelligence can do a lot to improve business practices, … the group's machine-learning models didn't adapt quickly enough to account …

Artificial intelligence can do a lot to improve business practices, … Machine-learning pioneers like Andrew Ng recognize what hangs in the …

We are excited to bring Transform 2022 back in-person July 19 and virtually July 20 - August 3. Join AI and data leaders for insightful talks and exciting networking opportunities. Artificial intelligence can do a lot to improve business practices, but AI algorithms can also introduce new avenues of risk. For example, consider Zillow's recent shutdown of Offers, the branch of the company dedicated to buying fixer uppers, after its prediction models significantly overshot house values. When housing price data changed unpredictably, the group's machine-learning models didn't adapt quickly enough to account for the volatility, resulting in significant losses. This type of data mismatch or "concept drift" happens if you don't give proper care and respect to data audits.

Data is the fuel for software development, and developers use historical data from existing products to train algorithms and build AI and machine …

Did you miss a session from the Future of Work Summit? This article was contributed by Wilson Pang, CTO at Appen. The new foundation of the artificial intelligence (AI) economy is flexible, remote work. Thanks to advances in technology that enable remote work at an unimaginable scale, organizations developing AI can now collaborate with people from almost anywhere, including previously inaccessible areas. People across the globe can now contribute to building AI in meaningful ways, particularly through data preparation and annotation work.