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Ut ohh.


The middle and working classes have seen a steady decline in their fortunes. Sending jobs to foreign countries, the hollowing out of the manufacturing sector, pivoting toward a service economy and the weakening of unions have been blamed for the challenges faced by a majority of Americans.

There’s an interesting, compelling and alternative explanation. According to a new academic research study, automation technology has been the primary driver in U.S. income inequality over the past 40 years. The report, published by the National Bureau of Economic Research, claims that 50% to 70% of changes in U.S. wages, since 1980, can be attributed to wage declines among blue-collar workers who were replaced or degraded by automation.

Artificial intelligence, robotics and new sophisticated technologies have caused a wide chasm in wealth and income inequality. It looks like this issue will accelerate. For now, college-educated, white-collar professionals have largely been spared the fate of degreeless workers. People with a postgraduate degree saw their salaries rise, while “low-education workers declined significantly.” According to the study, “The real earnings of men without a high-school degree are now 15% lower than they were in 1980.”

Third-party cookie trackers live to fight for another year.


Google is announcing today that it is delaying its plans to phase out third-party cookies in the Chrome browser until 2023, a year or so later than originally planned. Other browsers like Safari and Firefox have already implemented some blocking against third-party tracking cookies, but Chrome is the most-used desktop browser, and so its shift will be more consequential for the ad industry. That’s why the term “cookiepocalypse” has taken hold.

In the blog post announcing the delay, Google says that decision to phase out cookies over a “three month period” in mid-2023 is “subject to our engagement with the United Kingdom’s Competition and Markets Authority (CMA).” In other words, it is pinning part of the delay on its need to work more closely with regulators to come up with new technologies to replace third-party cookies for use in advertising.

Few will shed tears for Google, but it has found itself in a very difficult place as the sole company that dominates multiple industries: search, ads, and browsers. The more Google cuts off third-party tracking, the more it harms other advertising companies and potentially increases its own dominance in the ad space. The less Google cuts off tracking, the more likely it is to come under fire for not protecting user privacy. And no matter what it does, it will come under heavy fire from regulators, privacy advocates, advertisers, publishers, and anybody else with any kind of stake in the web.

Those are the names of the new robots Amazon is testing with the goal of reducing strenuous movements for workers.

While the introduction of robots to the workplace often raises questions about whether human jobs will be replaced, Amazon argues they simply allow workers to focus on tasks that most need their attention while minimizing their potential for injury. Amazon said it’s added over a million jobs around the world since it began using robotics in its facilities in 2012.

In May, Amazon announced a goal of reducing recordable incident rates by 50% by 2025. It plans to invest over $300 million into safety projects this year.

But what struck me about his essay is that last clause: “if we as a society manage it responsibly.” Because, as Altman also admits, if he is right then A.I. will generate phenomenal wealth largely by destroying countless jobs — that’s a big part of how everything gets cheaper — and shifting huge amounts of wealth from labor to capital. And whether that world becomes a post-scarcity utopia or a feudal dystopia hinges on how wealth, power and dignity are then distributed — it hinges, in other words, on politics.


Will A.I. give us the lives of leisure we long for — or usher in a feudal dystopia? It depends.

In the concrete jungle of Singapore, some people are ditching the comforts of the air-conditioned offices and opting to get their hands dirty instead. CNBC’s Nessa Anwar meets some of the trailblazers marrying traditional jobs with technology.

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A study of gene activity in the brain’s hippocampus, led by UT Southwestern researchers, has identified marked differences between the region’s anterior and posterior portions. The findings, published today in Neuron, could shed light on a variety of brain disorders that involve the hippocampus and may eventually help lead to new, targeted treatments.

“These new data reveal molecular-level differences that allow us to view the anterior and posterior hippocampus in a whole new way,” says study leader Genevieve Konopka, Ph.D., associate professor of neuroscience at UTSW.

She and study co-leader Bradley C. Lega, M.D., associate professor of neurological surgery, neurology, and psychiatry, explain that the human hippocampus is typically considered a uniform structure with key roles in memory, spatial navigation, and regulation of emotions. However, some research has suggested that the two ends of the hippocampus—the anterior, which points downward toward the face, and the posterior, which points upward toward the back of the head—take on different jobs.

Weird now, but i do think most people will want humanoid robots faking emotions, to some degree, and on the far end people who will want them to try and mimic people exactly.


Columbia Engineering researchers use AI to teach robots to make appropriate reactive human facial expressions, an ability that could build trust between humans and their robotic co-workers and care-givers. (See video below.)

While our facial expressions play a huge role in building trust, most robots still sport the blank and static visage of a professional poker player.

With the increasing use of robots in locations where robots and humans need to work closely together, from nursing homes to warehouses and factories, the need for a more responsive, facially realistic robot is growing more urgent.

“Clearly AI is going to win[against human intelligence]. It’s not even close,” Kahneman told the paper. “How people are going to adjust to this is a fascinating problem.”

Of course, and the reaction, right up to the last minute will be: “No way Man!!! there will be new jobs these crazy Ai’s cant do!”


Artificial intelligence will be beating humans — outworking if not entirely outmoding them — in plenty of functions as the future approaches. Here’s why.

Genetic treatments are difficult to produce without facilities.


Af­ter Kel­li Lug­in­buhl fin­ished her PhD, her ad­vi­sor, Duke bio­engi­neer and Phase­Bio co-founder Ashutosh Chilkoti, sat her down and asked if she want­ed to launch and then run a com­pa­ny. Chilkoti had a once-ob­scure tech­nol­o­gy he and the ven­ture cap­i­tal­ist Joe McMa­hon thought could form the ba­sis of his sec­ond com­pa­ny and fi­nal­ly pay huge div­i­dends. Lug­in­buhl knew the tech from years in his lab and was al­ready look­ing for biotech jobs. It all added up.

Three years, some strate­giz­ing, and 10 or so pitch meet­ings lat­er, the trio is launch­ing Isol­ere Bio, with $7 mil­lion in seed fund­ing led by North­pond Ven­tures and tech­nol­o­gy they be­lieve can al­low gene ther­a­py com­pa­nies to vast­ly in­crease the num­ber of dos­es they can pro­duce. It’s one po­ten­tial so­lu­tion to a slow-boil­ing cri­sis that has be­come in­creas­ing­ly acute, as new com­pa­nies strug­gle to get the ma­te­ri­als they need for tri­als and some com­mon dis­eases re­main the­o­ret­i­cal­ly un­fix­able by gene ther­a­py, be­cause com­pa­nies would nev­er be able to make enough dos­es for that many patients.

The prob­lem is par­tial­ly that the fa­cil­i­ties don’t yet ex­ist to pro­duce this much of gene ther­a­py. Ex­perts, how­ev­er, al­so point to an­ti­quat­ed man­u­fac­tur­ing processes.