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"Unskilled manual laborers have felt the pressure of automation for a long time - but, increasingly, they're not alone. The last few years have been a bonanza of advances in artificial intelligence. As our software gets smarter, it can tackle harder problems, which means white-collar and pink-collar workers are at risk as well. Here are eight jobs expected to be automated (partially or entirely) in the coming decades. Call Center Employees call-center Telemarketing used to happen in a crowded call center, with a group of representatives cold-calling hundreds of prospects every day. Of those, maybe a few dozen could be persuaded to buy the product in question. Today, the idea is largely the same, but the methods are far more efficient. Many of today's telemarketers are not human. In some cases, as you've probably experienced, there's nothing but a recording on the other end of the line. It may prompt you to "press '1' for more information," but nothing you say has any impact on the call - and, usually, that's clear to you. But in other cases, you may get a sales call and have no idea that you're actually speaking to a computer. Everything you say gets an appropriate response - the voice may even laugh. How is that possible? Well, in some cases, there is a human being on the other side, and they're just pressing buttons on a keyboard to walk you through a pre-recorded but highly interactive marketing pitch. It's a more practical version of those funny soundboards that used to be all the rage for prank calls. Using soundboard-assisted calling - regardless of what it says about the state of human interaction - has the potential to make individual call center employees far more productive: in some cases, a single worker will run two or even three calls at the same time. In the not too distant future, computers will be able to man the phones by themselves. At the intersection of big data, artificial intelligence, and advanced

"This is the broad goal of a new field known as embodied AI, and Li's not the only one embracing it. It overlaps with robotics, since robots can be the physical equivalent of embodied AI agents in the real world, and reinforcement learning - which has always trained an interactive agent to learn using long-term rewards as incentive. But Li and others think embodied AI could power a major shift from machines learning straightforward abilities, like recognizing images, to learning how to perform complex humanlike tasks with multiple steps, such as making an omelet."

The moral of that story is clear. The spreadsheet was a revolutionary technology when it first appeared in 1978, just as ChatGPT was in 2022. But now it's a routine, integral part of organisation life. The advent of AI "agents" built from GPT-like models looks like following a similar pattern. In turn, the organisations that have absorbed them will also evolve. And then the world may eventually rediscover that famous adage attributed to Marshall McLuhan's colleague John Culkin: "We shape our tools and then the tools shape us."

"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."

"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."

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""I'd like to ask you," NSA whistleblower Edward Snowden asked Russian leader Vladimir Putin on a televised call-in show, "does Russia intercept, store or analyze in any way the communications of millions of individuals?" Putin, a former KGB agent and head of Russia's intelligence service, spoke about what they had in common: spycraft. "

""My concern is that a facial recognition rejection can [create] bias," said Rudolph. "So, if someone has a lot of faith in this technology and thinks that it's foolproof, and someone is rejected by this system, that customs officer or gate agent may be predisposed to saying this person is traveling with fraudulent credentials. That's a crime and a serious issue.""

" The observations made at Facebook are the latest in a long line of similar cases. In each instance, an AI being monitored by humans has diverged from its training in English to develop its own language. The resulting phrases appear to be nonsensical gibberish to humans but contain semantic meaning when interpreted by AI "agents." "

"This type of approach can speed up learning times and improve the efficiency of algorithms, says Max Jaderberg at Google's AI company DeepMind. The company used a similar technique last year to teach an AI to explore a virtual maze. Its algorithm learned much more quickly than conventional reinforcement learning approaches. "Our agent is far quicker and requires a lot less experience from the world to train, making it much more data efficient," he says."

"Learning from rewards seems like the simplest thing. I make coffee, I sip coffee, I'm happy. My brain registers "brewing coffee" as an action that leads to a reward. That's the guiding insight behind deep reinforcement learning, a family of algorithms that famously smashed most of Atari's gaming catalog and triumphed over humans in strategy games like Go. Here, an AI "agent" explores the game, trying out different actions and registering ones that let it win."

" AI has better 'bedside manner' than some doctors, study finds ChatGPT rated higher in quality and empathy of written advice, raising possibility of medical assistance role Hannah Devlin Science correspondent @hannahdev Fri 28 Apr 2023 16.01 BST ChatGPT appears to have a better 'bedside manner' than some doctors - at least when their written advice is rated for quality and empathy, a study has shown. The findings highlight the potential for AI assistants to play a role in medicine, according to the authors of the work, who suggest such agents could help draft doctors' communications with patients. "The opportunities for improving healthcare with AI are massive," said Dr John Ayers, of the University of California San Diego."

"To arrive at a recommended rent, the software deploys an algorithm - a set of mathematical rules - to analyze a trove of data RealPage gathers from clients, including private information on what nearby competitors charge. For tenants, the system upends the practice of negotiating with apartment building staff. RealPage discourages bargaining with renters and has even recommended that landlords in some cases accept a lower occupancy rate in order to raise rents and make more money. One of the algorithm's developers told ProPublica that leasing agents had "too much empathy" compared to computer generated pricing."

"The use for humans in the world of robotics, even as teachers, is shrinking thanks to AI. NVIDIA Research has announced the creation of Eureka, an AI agent powered by GPT-4 that has trained robots to perform tasks using reward algorithms. Notably, Eureka taught a robotic hand to do pen spinning tricks as well as a human can (honestly, as you can see in the YouTube video below, better than many of us)."

"Researchers put AI normally used to search for helpful drugs into a kind of "bad actor" mode to show how easily it could be abused at a biological arms control conference. All the researchers had to do was tweak their methodology to seek out, rather than weed out toxicity. The AI came up with tens of thousands of new substances, some of which are similar to VX, the most potent nerve agent ever developed. Shaken, they published their findings this month in the journal Nature Machine Intelligence."

"A big leak of data from a Chinese cybersecurity firm has revealed state security agents paying tens of thousands of pounds to harvest data on targets, including foreign governments, while hackers hoover up huge amounts of information on any person or institution who might be of interest to their prospective clients. The cache of more than 500 leaked files from the Chinese firm I-Soon was posted on the developer website Github and is thought by cybersecurity experts to be genuine. Some of the targets discussed include Nato and the UK Foreign Office."

"I'm not the only one who has been struggling with Google recently. Many users are saying its principal product, its search engine, isn't working as well as it should. They claim the ingenious vehicle that has enabled us to navigate the internet's infinite scroll of information is beginning to rust and decay. That's not to mention the company's endless court battles with rival companies and world governments, or the rise of ChatGPT, which many tout as a search engine killer; even Bill Gates said last year that once a company perfects the AI assistant or "personal agent", "you will never go to a search site again"."

"Seeing an opportunity, Franklin decided to take advantage. On 9 July, the company said that it would begin to support digital employees as part of its platform and treat them like any other employee. "Today Lattice is making AI history," Franklin pronounced. "We will be the first to give digital workers official employee records in Lattice. Digital workers will be securely onboarded, trained and assigned goals, performance metrics, appropriate systems access and even a manager. Just as any person would be." The pushback was swift - and, in many cases, brutal, particularly on LinkedIn, which is generally not known for its savage engagement like X (formerly known as Twitter). "This strategy and messaging misses the mark in a big way, and I say that as someone building an AI company," said Sawyer Middeleer, an executive at a firm that uses AI to help with sales research, on LinkedIn. "Treating AI agents as employees disrespects the humanity of your real employees. Worse, it implies that you view humans simply as 'resources' to be optimized and measured against machines. It's the exact opposite of a work environment designed to elevate the people who contribute to it.""

""We have only examined a tiny fraction of this code base and found a critical, election-stealing issue," said Lewis, who is currently executive director of the Open Privacy Research Society, a Canadian nonprofit that develops secure and privacy-enhancing software for marginalized communities. "Even if this [backdoor] is closed its mere existence raises serious questions about the integrity of the rest of the code.""

"Users who once came to Facebook to connect with friends and family are increasingly complaining of random, spammy, junk content - much of it apparently generated by artificial intelligence - showing up in their feeds. Sometimes it's obviously fake, AI-generated images, like the now-infamous "Shrimp Jesus." Other times, it's old posts from real creators that look like they're being reshared by bot accounts for engagement. In some cases, it's pages sharing streams of seemingly benign but random content - memes or movie clips, shared every few hours."