Lifeboat Foundation

The company believes its Codex machine learning algorithm is the next step in programming—a sidekick for coders to speed up the work and ease the drudgery.

Yuval Harari has a stark warning: we need to start regulating AI — otherwise big companies are going to be able to hack humans.

I wonder how general this is. Interesting application of AI.

Electric vehicles have the potential to substantially reduce carbon emissions, but car companies are running out of materials to make batteries. One crucial component, nickel, is projected to cause supply shortages as early as the end of this year. Scientists recently discovered four new materials that could potentially help—and what may be even more intriguing is how they found these materials: the researchers relied on artificial intelligence to pick out useful chemicals from a list of more than 300 options. And they are not the only humans turning to A.I. for scientific inspiration.

Creating hypotheses has long been a purely human domain. Now, though, scientists are beginning to ask machine learning to produce original insights. They are designing neural networks (a type of machine-learning setup with a structure inspired by the human brain) that suggest new hypotheses based on patterns the networks find in data instead of relying on human assumptions. Many fields may soon turn to the muse of machine learning in an attempt to speed up the scientific process and reduce human biases.

Continue reading “AI Generates Hypotheses Human Scientists Have Not Thought Of” »

While the metaverse might seem like a far off dream, more fit for the pages of a Neal Stephenson novel than reality, some are already attempting to cash in the concept — and even provide a digital workforce for it.

Enter Soul Machines 0 a New Zealand-based company that says it’s designing AI-driven digital humans for clients to use for things like customer service, promotional videos, and education. However, the company also has its sights set on the future — with co-founder Greg Cross saying it plans to create a “digital workforce” for a potential metaverse, according to The Verge.

Continue reading “A Startup Is Creating Digital Human Servants to Work in the Metaverse” »

The new world of work is also about a new kind of teamwork: humans and AI working together to achieve more than they can accomplish on their own. Regardless of its recent progress, AI is still not accurate enough to meet the enterprise-level requirements of speech-to-text in many industries. “If technology gives me 90% accuracy, humans can deal with the last mile. Human-in-the-loop is core to our product,” explains Livne. In addition to developing the required technology, Ver… See more.

Verbit is a very successful startup. The 4-year-old developer of an AI-powered transcription and captioning platform has reached unicorn status in June, raising $157 million at a valuation of over $1 billion, for a total of $319 million raised to date. It has 2,600 customers, 450 employees, and will reach $100 million in revenues by the end of the year. According to co-founder and CEO Tom Livne, Veribit enjoys Net Revenue Retention (the rate of revenue generation from existing customers) of 163%. “Our customers are growing with us,” says Livne.

This impressive performance is the result of executing on a well thought-out framework for what it will take to succeed in the future, no matter what business you are in and the market you are serving. Verbit’s technology foundation, its global community of freelancers, and its mass customization strategy are the three features of Verbit’s future of work model, the very model of a 21 st century company.

“Technological advances in robotics have already produced robots that are indistinguishable from human beings,” they write. “If humanoid robots with the same appearance are mass-produced and become commonplace, we may encounter circumstances in which people or human-like products have faces with the exact same appearance in the future.”

To test peoples’ reactions, the team asked people to look at photos of individuals with the same face (clones), with different faces, and of… See more.

The uncanny valley is the scientific explanation for why we all find clowns or corpses creepy. And just when we thought nothing could be more alarming than clowns, scientists have found an even uncannier way to freak us out.

Continue reading “New Robots May Be Creepier Than The Uncanny Valley” »

In conversation with my teenage daughter last week, I pointed out a news report which flagged concerns over the use of facial recognition technologies in several school canteens in North Ayrshire, Scotland. Nine schools in the area recently launched this practice as a means to take payment for lunches more quickly and minimize COVID risk, though they’ve since paused rolling out the technology.

Hundreds of millions of years of evolution have produced a variety of life-forms, each intelligent in its own fashion. Each species has evolved to develop innate skills, learning capacities, and a physical form that ensures survival in its environment.

But despite being inspired by nature and evolution, the field of artificial intelligence has largely focused on creating the elements of intelligence separately and fusing them together after the development process. While this approach has yielded great results, it has also limited the flexibility of AI agents in some of the basic skills found in even the simplest life-forms.

Continue reading “New deep reinforcement learning technique helps AI to evolve” »

Exactly what we needed: more automated systems replacing human workers.