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"Our estimate of the length of tasks that an agent can complete depends on methodological choices like the tasks used and the humans whose performance is measured. However, we're fairly confident that the overall trend is roughly correct, at around 1-4 doublings per year. If the measured trend from the past 6 years continues for 2-4 more years, generalist autonomous agents will be capable of performing a wide range of week-long tasks."

"95% of the US population, 93% of Europeans and 92% of Asians can't do "level three" tasks like "You want to know what percentage of the emails sent by John Smith last month were about sustainability" -- tasks where "use of tools (e.g. a sort function) is required to make progress towards the solution. The task may involve multiple steps and operators. The goal of the problem may have to be defined by the respondent, and the criteria to be met may or may not be explicit.""

"The purpose of handing the economy off to the synths is so that we can do the kinds of tasks that every human would wake up in the morning eager to do. There should not be any human doing a task they find a waste of their talent. If it is a job where productivity matters, a human should not be doing it. Productivity is for robots. Humans should be doing the jobs where inefficiency reigns - art, exploration, invention, innovation, small talk, adventure, companionship. All the productive chores should be handled by the billions of AIs we make. Therefore our task right now - as humans - is to make sure that in the following decades as our biological numbers start to shrink on this planet, that we can repopulate it with a sufficient number of synthetic agents, bots, and robots with sufficient intelligence, grit, perseverance, and moral training to take over the economy in time to keep our living standards rising. We are not replacing existing humans with bots, nor are we replacing unborn humans with bots. Rather we are replacing never-to-be-born humans with bots, and the relationship that we have with those synthetic agents and ems, will be highly mutual. We build an economy around their needs, and propelled by their labor, and rewarding their work, but all of this is in service of our own definition of progress and human success."

"The findings from those examples were striking: overall, those who trusted the accuracy of the AI tools found themselves thinking less critically, while those who trusted the tech less used more critical thought when going back over AI outputs. "The data shows a shift in cognitive effort as knowledge workers increasingly move from task execution to oversight when using GenAI," the researchers wrote. "Surprisingly, while AI can improve efficiency, it may also reduce critical engagement, particularly in routine or lower-stakes tasks in which users simply rely on AI, raising concerns about long-term reliance and diminished independent problem-solving." This isn't enormously surprising. Something we've observed in many domains, from self-driving vehicles to scrutinizing news articles produced by AI, is that humans quickly go on autopilot when they're supposed to be overseeing an automated system, often allowing mistakes to slip past."

"At its core, the researchers' "Planning with Uncertain Specifications" (PUnS) system gives robots the human-like planning ability to simultaneously weigh many ambiguous - and potentially contradictory - requirements to reach an end goal. In doing so, the system always chooses the most likely action to take, based on a "belief" about some probable specifications for the task it is supposed to perform."

"Automating teaching is an example of a task that would require artificial general intelligence (as opposed to narrow or specific intelligence). In other words, this is the kind of task that would require an AI that understands natural human language, can be empathetic towards emotions, plan, strategize and make impactful decisions under unpredictable circumstances."

"Most people who use AI-powered translation tools do so for commonplace, relatively unimportant tasks like understanding a single phrase or quote. Those basic services won't do for an enterprise offering technical documents in 15 languages - but Lengoo's custom machine translation models might just do the trick. And with a new $20 million B round, they may be able to build a considerable lead. The translation business is a big one, in the billions, and isn't going anywhere. It's simply too common a task to need to release a document, piece of software or live website in multiple languages - perhaps dozens."

"The research concludes that mentally demanding tasks are more difficult to handle at home than when physically present at a workplace. Based on the chess players' performances, excessive use of homeworking can hurt productivity, the three researchers believe."

"The platformization of labor affects workers of all kinds, across platforms. On "click farm" platforms in Brazil, workers perform countless fragmented data tasks. They spend hours every day clicking, following, and commenting on social media accounts - and earning less than a penny for each task."

"In the meantime, Pham is keen to see if robots can learn to build the chair using only an image of the assembled product as a guide. Will the technology ever help humans who struggle with the task? "I don't think it is in Ikea's business model to have robots assemble their chairs," he said. "In the next 10 to 20 years, people will still be sweating over flat-pack furniture.""

"Robots have been slow to appear because each one requires a rare confluence of market, task, technology, and innovation. (And luck. I only described some of the things that nearly killed Roomba.) But as technology advances and costs decline, the toolbox for robot designers constantly expands. Thus, more types of robots will cross the threshold of economic viability. Still, we can expect one constant. Each new, successful robot will represent a minimum-the simplest, lowest-cost solution to a problem people want solved. The growing set of tools that let us attack ever more interesting problems make this an exciting time to practice robotics."

"AIs do not need more intelligence than humans to transform the job market. They need only enough to do the task well. And that is not far off, Harari says. "Children alive today will face the consequences. Most of what people learn in school or in college will probably be irrelevant by the time they are 40 or 50. If they want to continue to have a job, and to understand the world, and be relevant to what is happening, people will have to reinvent themselves again and again, and faster and faster.""

"The robot arm monitors and attempts to contain a viscous blood-red liquid as it spreads out from the base of the arm, spattering more liquid around its enclosure."

"Schools in the UK have experimented with fingerprinting pupils then using that data for tasks including library books and lunch payments. However, the European Commission has questioned the practice, including whether schools can make it compulsory and whether parents can challenge it in court."

""We have absolutely nothing against bricklayers," Pivac says. "The problem is the average age of bricklayers is going up and it's difficult to attract new young people to the trade." There's a debate on about the future of automation-what it means that machines may be able to match humans at virtually any task. For now, robots are nowhere near that advanced."

"Although we think we're doing several things at once, multitasking, this is a powerful and diabolical illusion. Earl Miller, a neuroscientist at MIT and one of the world experts on divided attention, says that our brains are "not wired to multitask well… When people think they're multitasking, they're actually just switching from one task to another very rapidly. "

"Expert Moshe Vardi told the American Association for the Advancement of Science (AAAS): "We are approaching a time when machines will be able to outperform humans at almost any task. "I believe that society needs to confront this question before it is upon us: if machines are capable of doing almost any work humans can do, what will humans do?""

"About two years ago the retail team lost another key task: negotiating with major brands and manufacturers the terms of popular sales on the site called "Lightning Deals." Common during the holidays as well as Mother's Day and Father's Day, they help move lots of inventory in a short period. Now, instead of calling their vendor manager at Amazon, the makers of handbags, smartphone accessories and other products simply logged into an Amazon portal that would determine if Amazon liked the deal being offered and the quantity it was willing to buy. No small talk. No give and take. Thousands of Amazon man hours spent forecasting demand, planning marketing strategies and negotiating deals was now handled by software, a major leap in efficiency."

"The Future of Jobs Report arrives as the rising tide of automation is expected to displace millions of American workers in the long term and as corporations, educational institutions and elected officials grapple with a global technological shift that may leave many people behind. The report, published Monday, envisions massive changes in the worldwide workforce as businesses expand the use of artificial intelligence and automation in their operations. Machines account for 29 percent of the total hours worked in major industries, compared with 71 percent performed by people. By 2022, however, the report predicts that 42 percent of task hours will be performed by machines and 58 percent by people"

"The standards by which the internet is controlled need to be open and subject to the workings of impartial judiciaries. But the task cannot and will not be left to the advertising companies that at present control most of the content - and whose own judgments are themselves almost wholly opaque and arbitrary."