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Google, the internet giant now a subsidiary of Alphabet, announced on Tuesday that it will limit the kinds of queries related to elections that its chatbot Bard and search generative experience can answer ahead of the 2024 U.S. Presidential election.

The company said that the new restrictions will be implemented by early 2024. The company recently made a landmark change to its location data privacy which has made it difficult for law enforcement agencies to access private location data of people near the crime scene and issue geofence warrants.

According to Reuters, the U.S. is not the only country that will witness crucial elections in 2024. India, the world’s largest democracy, and South Africa, among others, will also hold national elections in the same year.

“I believe we have found one of the brain’s prototypes for building sequences” says Professor Edvard Moser.


Scientists at NTNU’s Kavli Institute for Systems Neuroscience in Norway have discovered a pattern of activity in the brain that serves as a template for building sequential experiences.

“I believe we have found one of the brain’s prototypes for building sequences,” says Professor Edvard Moser. He describes the activity pattern as “a fundamental algorithm that is intrinsic to the brain and independent of experience.”

A supercomputer scheduled to go online in April 2024 will rival the estimated rate of operations in the human brain, according to researchers in Australia. The machine, called DeepSouth, is capable of performing 228 trillion operations per second.

It’s the world’s first supercomputer capable of simulating networks of neurons and synapses (key biological structures that make up our nervous system) at the scale of the human brain.

DeepSouth belongs to an approach known as neuromorphic computing, which aims to mimic the biological processes of the human brain. It will be run from the International Center for Neuromorphic Systems at Western Sydney University.

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Marvin Minsky is often called the Father of Artificial Intelligence and I have been looking for an opportunity to interview him for years. I was hoping that I will finally get my chance at the GF2045 conference in NY City. Unfortunately, Prof. Minsky had bronchitis and consequently had to speak via video. A week later, though still recovering, Marvin generously gave me a 30 min interview while attending the ISTAS13 Veilance conference in Toronto. I hope that you enjoy this brief but rare opportunity as much as I did!

This story originally appeared in The Algorithm, our weekly newsletter on AI. To get stories like this in your inbox first, sign up here.

This has been one of the craziest years in AI in a long time: endless product launches, boardroom coups, intense policy debates about AI doom, and a race to find the next big thing. But we’ve also seen concrete tools and policies aimed at getting the AI sector to behave more responsibly and hold powerful players accountable. That gives me a lot of hope for the future of AI.

This week, Google rocked the technology world with the unveiling of Gemini — an artificial intelligence system representing their most significant leap in AI capabilities. Hailed as a potential game-changer across industries, Gemini combines data types like never before to unlock new possibilities in machine learning.

With three distinct versions tailored to different needs, Gemini points to a future powered by AI that can match and even outperform human intelligence. Its multimodal nature builds on yet goes far beyond predecessors like GPT-3.5 and GPT-4 in its ability to understand our complex world dynamically.

As Google sets its sights on real-world deployment, Gemini prompts critical ethical questions around responsibility and safety. If leveraged conscientiously, its potential applications span from mundane productivity tasks to world-changing scientific breakthroughs.