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Could robots with feelings be the next step in AI? A research paper discusses an interesting approach to robot design. It is titled “Homeostasis and soft robotics in the design of feeling machines” in Nature Machine Intelligence.

No need to see the robot as an enemy just because it takes on a robotic version of human ; the train of thought that the authors take is a distance away from fear and trembling by some futurists who ponder robots turning against their masters in an upside-down switch of master-servant roles.

Rather, Kingson Man and Antonio Damasio, the authors, choose to focus on machines acquiring homeostasis. Man and Damasio are with the Brain and Creativity Institute, University of Southern California, Los Angeles.

Beyond cortical and limbic systems, the company Neuralink could add a third layer of digital superintelligence to humans and avoid artificial intelligence enslavement, its founder Elon Musk claimed Tuesday. The brain-computer linkup firm is working to treat medical conditions using its implanted chip as early as next year, but during a podcast appearance, Musk reiterated his belief that the technology could avoid some of the worst consequences of advanced machines.

“It’s important that Neuralink solves this problem sooner rather than later, because the point at which we have digital superintelligence, that’s when we pass the singularity and things become just very uncertain,” Musk said during an interview with MIT professor Lex Fridman.

Musk was keen to note that the singularity, a hypothesized point where machines grow so advanced that humanity slips into an irreversible change, may not necessarily be good or bad. He did state, however, that “things become extremely unstable” after that point, which means Neuralink would need to achieve its human-brain linkup either before or not long after “to minimize the existential risk for humanity and consciousness as we know it.”

In the kale-filled facility at vertical farm startup Bowery Farming, it’s a piece of proprietary software that makes most of the critical decisions — like when to harvest and how much to water each plant. But it still takes humans to carry out many tasks around the farm. Katie Morich, 25, loves the work. But as roboticists make gains, will her employer need her forever? This is the fourth episode of Next Jobs, a series about careers of the future hosted by Bloomberg Technology’s Aki Ito.

Host, Producer: Aki Ito
Camera: Alan Jeffries, Brian Schildhorn
Co-Producer: David Nicholson
Editor: Victoria Daniell
Writers: Aki Ito and Victoria Daniell.

Albert Einstein’s famous expression “spooky action at a distance” refers to quantum entanglement, a phenomenon seen on the most micro of scales. But machine learning seems to grow more mysterious and powerful every day, and scientists don’t always understand how it works. The spookiest action yet is a new study of heart patients where a machine-learning algorithm decided who was most likely to die within a year based on echocardiogram (ECG) results, reported by New Scientist. The algorithm performed better than the traditional measures used by cardiologists. The study was done by researchers in Pennsylvania’s Geisinger regional healthcare group, a low-cost and not-for-profit provider.

Disruption of the job market and the economy from automation and the rise of artificial intelligence (AI) is one of the primary ideas animating Andrew Yang’s surprising campaign for the Democratic presidential nomination. Alone among the candidates, Yang is directly engaging with one of the central forces that will shape our futures.


A recent report from the consulting firm Deloitte found that, among more than a thousand surveyed American executives, 63 percent agreed with the statement that “to cut costs, my company wants to automate as many jobs as possible using AI,” and 36 percent already believe that job losses from AI-enabled automation should be viewed as an ethical issue. In other words, while media pundits dismiss worries about automation, executives at America’s largest companies are actively planning for it.

It may seem odd to worry about AI and automation at a time when the headline unemployment rate is below 4 percent. But it is important to remember that this metric only captures people who are actively seeking work. Consider that, in 1965, only 3 percent of American men between the ages of 25 and 54 — old enough to have completed education but too young to retire — were neither working nor actively looking for employment. Today, that number is about 11 percent.

In other words, the percentage of working-age men completely disenfranchised from employment markets has nearly tripled. The economist and former Treasury secretary Laurence Summers has estimated that, by 2050, that number could more than double again to a quarter or even a third.