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Anthropic, the startup co-founded by ex-OpenAI employees that’s raised over $700 million in funding to date, has developed an AI system similar to OpenAI’s ChatGPT that appears to improve upon the original in key ways.

Called Claude, Anthropic’s system is accessible through a Slack integration as part of a closed beta. TechCrunch wasn’t able to gain access — we’ve reached out to Anthropic — but those in the beta have been detailing their interactions with Claude on Twitter over the past weekend, after an embargo on media coverage lifted.

Claude was created using a technique Anthropic developed called “constitutional AI.” As the company explains in a recent Twitter thread, “constitutional AI” aims to provide a “principle-based” approach to aligning AI systems with human intentions, letting AI similar to ChatGPT respond to questions using a simple set of principles as a guide.

If all the hype around ChatGPT, Dall-E, Tesla’s Fully Self Driving mode and *ahem* Q.ai, has shown us anything, it’s that artificial intelligence is here to stay. The knee jerk reaction from many old fashioned meat machines, sorry, humans, is a concern around what this means for their income.

For years now, we’ve been told how AI is going to take our jobs, and it’s true that in many industries, machines, robots and other technology have cut workforce numbers dramatically.

With that said, many of the jobs being taken by AI so far are often considered dangerous, repetitive and boring. There aren’t too many people out there who are going to get great job satisfaction from turning the same 5 screws on a production line for 40 hours a week.

New study demonstrates the potential for machine learning to accelerate the development of innovative drug delivery technologies.

Scientists at the University of Toronto have successfully tested the use of machine learning models to guide the design of long-acting injectable drug formulations. The potential for machine learning algorithms to accelerate drug formulation could reduce the time and cost associated with drug development, making promising new medicines available faster.

The study will be published today (January 10, 2023) in the journal Nature Communications.

— If human-level AGI is created in the next 10 yrs, whaddaya guess will be the underlying tech? — Deep NNs? Hybrid neural/symbolic/evolutionary cognitive arch. e.g. OpenCog Hyperon? Comp. Neuroscience? Something wild and utterly new?

The science of dinosaur resurrection: using AI to bring prehistoric creatures back to life.

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.

Researchers at DeepMind in London have shown that artificial intelligence (AI) can find shortcuts in a fundamental type of mathematical calculation, by turning the problem into a game and then leveraging the machine-learning techniques that another of the company’s AIs used to beat human players in games such as Go and chess.

The AI discovered algorithms that break decades-old records for computational efficiency, and the team’s findings, published on 5 October in Nature¹, could open up new paths to faster computing in some fields.

“It is very impressive,” says Martina Seidl, a computer scientist at Johannes Kepler University in Linz, Austria. “This work demonstrates the potential of using machine learning for solving hard mathematical problems.”

This post is also available in: עברית (Hebrew)

New research may have vital applications in areas such as human-intelligence analytics. Traditionally, emotion detection has relied on the assessment of visible signals such as facial expressions, speech, body gestures or eye movements. However, these methods can be unreliable as they do not effectively capture an individual’s internal emotions. A novel artificial intelligence approach based on wireless signals could help to reveal our inner emotions.

The research from Queen Mary University of London demonstrates the use of radio waves to measure heart rate and breathing signals and predict how someone is feeling even in the absence of any other visual cues, such as facial expressions. It demonstrates how to apply a neural network to decipher emotions gathered with transmitting radio antenna.

Microsoft has revealed VALL-E, an artificial intelligence that can replicate any voice using a three-second sample. It has huge potential — and huge risks too.