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A new concept called organoid intelligence, with the aim of developing a new generation of biocomputers, has recently been detailed by a group of researchers. They want to harness advances in the reproduction of human brain cells in vitro to offer superior intelligence to the computers and smart devices of the future. This technology promises to be much more powerful and efficient than any form of artificial intelligence as we know it.

This notion of organoid intelligence is described in a paper outlining a roadmap to developing this technology published in the journal Frontiers of Science, by numerous scientists, mainly from Johns Hopkins University in Baltimore. According to them, work on cerebral organoids, derived from human stem cells, should make it possible in the relatively near future to reproduce entities endowed with memory and a genuine capacity for learning. Organoids are miniature organs grown in vitro. The term organoid intelligence (OI) encompasses all these developments, leading to a form of biological computing — or biocomputing — that leverages neurons bred in a lab. All of which is enough to make the likes of ChatGPT seem outdated already.

Complex interfaces could eventually be networked, with brain organoids connected to sensory organoids such as retinal organoids. This could, for example, lead to new therapeutic applications.

We don’t learn by brute force repetition. AI shouldn’t either.


Despite impressive progress, today’s AI models are very inefficient learners, taking huge amounts of time and data to solve problems humans pick up almost instantaneously. A new approach could drastically speed things up by getting AI to read instruction manuals before attempting a challenge.

One of the most promising approaches to creating AI that can solve a diverse range of problems is reinforcement learning, which involves setting a goal and rewarding the AI for taking actions that work towards that goal. This is the approach behind most of the major breakthroughs in game-playing AI, such as DeepMind’s AlphaGo.

Things are moving at lightning speed in AI Land. On Friday, a software developer named Georgi Gerganov created a tool called “llama.cpp” that can run Meta’s new GPT-3-class AI large language model, LLaMA, locally on a Mac laptop. Soon thereafter, people worked out how to run LLaMA on Windows as well. Then someone showed it running on a Pixel 6 phone, and next came a Raspberry Pi (albeit running very slowly).

But let’s back up a minute, because we’re not quite there yet. (At least not today—as in literally today, March 13, 2023.) But what will arrive next week, no one knows.

Futurist Ray Kurzweil is still making waves years after his initial singularity claims as artificial intelligence continues to progress. With singularity milestones coming, Kurzweil believes immortality is achievable by 2030. Kurzweil’s predictions are met with a healthy dose of skepticism. A new video from the YouTube channel Adagio revisits futurist Ray Kurzweil’s ideas about how for humans, both singularity and immortality are shockingly imminent—as in, potentially just seven years away.

A post-apocalyptic exhibit features an AI that expresses remorse for being the reason for the near-extinction of humanity.

The beating heart of tech-revolution, a museum in San Francisco, has visualized a memorial to the extinction of the human race, considering the fast and significant advances coming in artificial intelligence.

The pieces in the temporary exhibition combine the frightening with the humorous.


Bulgac/iStock.

It could be a solid step against inaccurate, racist, and sexist responses from the likes of OpenAI’s ChatGPT and Google’s Bard.

Meta hopes to assist AI researchers in making their tools and procedures more universally inclusive, with the launch of Casual Conversations v2, according to a statement from the firm on March 9.

The vast new dataset, which includes face-to-face video clips from a broad spectrum of human participants across varied geographic, cultural, racial, and physical demographics, serves as an upgrade to its 2021 AI audio-visual training dataset.

It wouldn’t be completely out of character for Joe Rogan, the comedian turned podcaster, to endorse a “libido-boosting” coffee brand for men.

But when a video circulating on TikTok recently showed Mr. Rogan and his guest, Andrew Huberman, hawking the coffee, some eagle-eyed viewers were shocked — including Dr. Huberman.

“Yep that’s fake,” Dr. Huberman wrote on Twitter after seeing the ad, in which he appears to praise the coffee’s testosterone-boosting potential, even though he never did.

Empowered by artificial intelligence technologies, computers today can engage in convincing conversations with people, compose songs, paint paintings, play chess and go, and diagnose diseases, to name just a few examples of their technological prowess.

These successes could be taken to indicate that computation has no limits. To see if that’s the case, it’s important to understand what makes a computer powerful.

There are two aspects to a computer’s power: the number of operations its hardware can execute per second and the efficiency of the algorithms it runs. The hardware speed is limited by the laws of physics. Algorithms—basically sets of instructions —are written by humans and translated into a sequence of operations that computer hardware can execute. Even if a computer’s speed could reach the physical limit, computational hurdles remain due to the limits of algorithms.

Have you ever wondered what life would be like if artificial intelligence became too powerful?

A new exhibition titled the ‘Misalignment Museum’ has opened to the public in San Francisco — the beating heart of the tech revolution — looks to explore just that, and features AI artworks meant to help visitors think about the potential dangers of artificial intelligence.

The exhibits in this temporary show mix the disturbing with the comic, and this first display has AI give pithy observations to visitors that cross into its line of vision.