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"The Dune subreddit has forbidden the posting of AI artwork. You might even say that thou shalt not make machines in likeness of the human mind."

"In this future, teachers assisted in marking and lesson planning by LLMs would be left with more much-needed time to focus on other elements of their work. However, in a bid to cut costs, the "teaching" of lessons could also be delegated to machines, robbing teachers and students of human interaction. "Of course, that will be for the less well-off students," Luckin says. "The more well-off students will still have lots of lovely one-to-one human interactions, alongside some very smartly integrated AI." Luckin instead advocates a future in which technology eases teachers' workloads but does not disrupt their pastoral care - or disproportionately affect students in poorer areas. "That human interaction is something to be cherished, not thrown out," she says."

"No surprise, then, that Twitter is aglow with engineers and academics mocking Lemoine for falling into the seductive emptiness of his own creation. But while I agree that Lemoine has made a mistake, I don't think he deserves our scorn. His error is a good mistake, the kind of mistake we should want AI scientists to make."

"The camera never lies. Except, of course, it does - and seemingly more often with each passing day. In the age of the smartphone, digital edits on the fly to improve photos have become commonplace, from boosting colours to tweaking light levels. Now, a new breed of smartphone tools powered by artificial intelligence (AI) are adding to the debate about what it means to photograph reality. Google's latest smartphones released last week, the Pixel 8 and Pixel 8 Pro, go a step further than devices from other companies. They are using AI to help alter people's expressions in photographs. It's an experience we've all had: one person in a group shot looks away from the camera or fails to smile. Google's phones can now look through your photos to mix and match from past expressions, using machine learning to put a smile from a different photo of them into the picture. Google calls it Best Take. "

"Wikipedia lives and dies by its references, the links to sources that back up information in the online encyclopaedia. But sometimes, those references are flawed - pointing to broken websites, erroneous information or non-reputable sources. A study published on 19 October in Nature Machine Intelligence1 suggests that artificial intelligence (AI) can help to clean up inaccurate or incomplete reference lists in Wikipedia entries, improving their quality and reliability."

"Abbott's experience mirrors the situation faced by Africans who don't speak English. Many language models like ChatGPT do not perform well for languages with smaller numbers of speakers, especially African ones. But a new venture called Lelapa AI, a collaboration between Abbott and a biomedical engineer named Pelonomi Moiloa, is trying to use machine learning to create tools that specifically work for Africans."

"The January snow lay thick on the Moscow ground, as masked officers of the FSB - Russia's fearsome security agency - prepared to smash down the doors at one of 25 addresses they would raid that day. Their target was REvil, a shadowy conclave of hackers that claimed to have stolen more than $100m (£74m) a year through "ransomware" attacks, before suddenly disappearing. As group members were led away in cuffs, FSB officers gathered crypto-wallets containing untold volumes of digital currency such as bitcoin. Others used money-counting machines to tot up dozens of stacks of hundred dollar bills."

"That is why we must demand transparency here, especially in the case of technology that uses human-like interfaces such as language. For any automated system, we need to know what it was trained to do, what training data was used, who chose that data and for what purpose. In the words of AI researchers Timnit Gebru and Margaret Mitchell, mimicking human behaviour is a "bright line" - a clear boundary not to be crossed - in computer software development. We treat interactions with things we perceive as human or human-like differently. With systems such as LaMDA we see their potential perils and the urgent need to design systems in ways that don't abuse our empathy or trust."

"Contemporary AI systems are now becoming human-competitive at general tasks,[3] and we must ask ourselves: Should we let machines flood our information channels with propaganda and untruth? Should we automate away all the jobs, including the fulfilling ones? Should we develop nonhuman minds that might eventually outnumber, outsmart, obsolete and replace us? Should we risk loss of control of our civilization? Such decisions must not be delegated to unelected tech leaders. Powerful AI systems should be developed only once we are confident that their effects will be positive and their risks will be manageable. This confidence must be well justified and increase with the magnitude of a system's potential effects. OpenAI's recent statement regarding artificial general intelligence, states that "At some point, it may be important to get independent review before starting to train future systems, and for the most advanced efforts to agree to limit the rate of growth of compute used for creating new models." We agree. That point is now."

"The news was not lost on IBM and prompted the company to create the PC and Mitch Kapor to write the Lotus 1-2-3 spreadsheet program for it. Eventually, Microsoft wrote its own version and called it Excel, which now runs on every machine in every office in the developed world. It went from being an intriguing but useful augmentation of human capabilities to being a mundane accessory - not to mention the reason why Kat Norton (aka "Miss Excel") allegedly pulls in six-figure sums a day from teaching Excel tricks on TikTok. The odds are that someone, somewhere is planning to do that with ChatGPT. And using the bot to write the scripts."

"But there have been corresponding sacrifices. Over 20 years, I have turned over whole areas of competence, memory, authority and independence to the machines in my life. Along the way, I have become anxious about problems that didn't used to exist, indecisive over choices I never used to have to make, and angry about things I would once have been wholly unaware of."

"The organisation is a pioneer of the "ransomware as a service" model, whereby it outsources the target selection and attacks to a network of semi-independent "affiliates", providing them with the tools and infrastructure and taking a commission on the ransoms in return. As well as ransomware, which typically works by encrypting data on infected machines and demanding a payment for providing the decryption key, LockBit copied stolen data and threatened to publish it if the fee was not paid, promising to delete the copies on receipt of a ransom."

"That's why the best systems may come from a combination of AI and human work; we can play to the machine's strengths, Ilievski says. But when we want to compare AI and the human mind, it's important to remember "there is no conclusive research providing evidence that humans and machines approach puzzles in a similar vein", he says. In other words, understanding AI may not give us any direct insight into the mind, or vice versa."

"On a zoomed-out time scale, technological progress follows an exponential curve. Compare how the world looked 15 years ago (no smartphones, really), 150 years ago (no combustion engine, no home electricity), 1,500 years ago (no industrial machines), and 15,000 years ago (no agriculture). The coming change will center around the most impressive of our capabilities: the phenomenal ability to think, create, understand, and reason. To the three great technological revolutions-the agricultural, the industrial, and the computational-we will add a fourth: the AI revolution. This revolution will generate enough wealth for everyone to have what they need, if we as a society manage it responsibly. The technological progress we make in the next 100 years will be far larger than all we've made since we first controlled fire and invented the wheel. We have already built AI systems that can learn and do useful things. They are still primitive, but the trendlines are clear."

"We demand a stop to addictive design features - Also known as the social slot machine. Ninety-five percent of teens in the US have or have access to a smartphone, while ninety percent have a desktop or laptop computer and eighty-three percent have a gaming console, a survey from the Pew Research Institute found. The data also found that roughly one in six teens describe their use of two platforms - YouTube and TikTok - as "almost constant.""

"It's an interesting question. I'm almost not sure how to answer it, because there is no thinking happening on the part of an LLM. A large language model takes the prompts and the text that you give it and tries to come up with something that is responsive and useful in relation to that text. And what's interesting is that certain people - I'm thinking of Mark Andreessen most prominently - have talked about how amazing this is conceptually from an education perspective, because with LLMs you will have this infinitely patient teacher. But that's actually not what you want from a teacher. You want, in some sense, an impatient teacher who's going to push your thinking, who's going to try to understand what you're bringing to any task or educational experience, lift up the strengths that you have, and then work on building your knowledge in areas where you don't yet have it. I don't think LLMs are capable of doing any of that. As you say, there's no real thinking going on. It's just a prediction machine. There's an interaction, I guess, but it's an illusion. Is that the word you would use? Yes. It's the illusion of a conversation. "

"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.""

"First of all, in the short term I agree with arguments that comparative advantage will continue to keep humans relevant and in fact increase their productivity, and may even in some ways level the playing field between humans. As long as AI is only better at 90% of a given job, the other 10% will cause humans to become highly leveraged, increasing compensation and in fact creating a bunch of new human jobs complementing and amplifying what AI is good at, such that the "10%" expands to continue to employ almost everyone. In fact, even if AI can do 100% of things better than humans, but it remains inefficient or expensive at some tasks, or if the resource inputs to humans and AI's are meaningfully different, then the logic of comparative advantage continues to apply. One area humans are likely to maintain a relative (or even absolute) advantage for a significant time is the physical world. Thus, I think that the human economy may continue to make sense even a little past the point where we reach "a country of geniuses in a datacenter"."

"Writing in the journal Science, Summerfield and colleagues from Google DeepMind report how they built the "Habermas Machine" - an AI system named after the German philosopher Jürgen Habermas. The system works by taking written views of individuals within a group and using them to generate a set of group statements designed to be acceptable to all. Group members can then rate these statements, a process that not only trains the system but allows the statement with the greatest endorsement to be selected."

"In addition to their usual job of grubbing out bad human edits, they're having to spend an increasing amount of their time trying to weed out AI filler. 404 Media has talked to Ilyas Lebleu, an editor at the crowdsourced encyclopedia who was involved in founding the "WikiProject AI Cleanup" project. The group is trying to come up with best practices to detect machine-generated contributions. (And no, before you ask, AI is useless for this.)"