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"It seems pointless to ask whether the spreadsheet is a good or a bad thing. But one prominent contrarian, the technology columnist John C Dvorak, had no doubts last week as he contemplated VisiCalc's 30th anniversary. 'The spreadsheet', he fumed, 'created the "what if" society. Instead of moving forward and progressing normally, the what-if society that questions each and every move we make. It second-guesses everything'. Worse still, he thinks, the spreadsheet has elevated the once-lowly bean-counter to the board and enabled accountants to run the world."

"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"."

"AI may displace 3m jobs but long-term losses 'relatively modest', says Tony Blair's thinktank Rise in unemployment in low hundreds of thousands as technology creates roles, Tony Blair Institute suggests"

"But what is pitched as a more convenient way of looking up information online has prompted scrutiny over how and where these chatbots select the information they provide. Looking into the sort of evidence that large language models (LLMs, the engines on which chatbots are built) find most convincing, three computer science researchers from the University of California, Berkeley, found current chatbots overrely on the superficial relevance of information. They tend to prioritise text that includes pertinent technical language or is stuffed with related keywords, while ignoring other features we would usually use to assess trustworthiness, such as the inclusion of scientific references or objective language free of personal bias."

"Imagine sitting down with an AI model for a spoken two-hour interview. A friendly voice guides you through a conversation that ranges from your childhood, your formative memories, and your career to your thoughts on immigration policy. Not long after, a virtual replica of you is able to embody your values and preferences with stunning accuracy. That's now possible, according to a new paper from a team including researchers from Stanford and Google DeepMind, which has been published on arXiv and has not yet been peer-reviewed."

"The breakdown in negotiations resulted in Meta blocking all news sources on Facebook in Canada "recklessly and dangerously" as all 10 provinces and three territories in the country burned, Canada's heritage minister, Pascale St-Onge, told Guardian Australia. "Facebook is leaving disinformation and misinformation to spread on their platform, while choosing to block access to reliable, high-quality, independent journalism," St-Onge said. "Facebook is just leaving more room for misinformation during need-to-know situations like wildfires, emergencies, local elections and other critical times for people to make decisions on matters that affect them.""

"The climate crisis could prove AI's greatest challenge. While Google publicises AI-driven advances in flooding, wildfire and heatwave forecasts, like many big tech companies, it uses more energy than many countries. Today's large models are a major culprit. It can take 10 gigawatt-hours of power to train a single large language model like OpenAI's ChatGPT, enough to supply 1,000 US homes for a year."

"In a follow-up article published this week titled "No, a Remote Amazon Tribe Did Not Get Addicted to Porn," Nicas wrote that the aggregations of his article showed in part that the internet truly is a dark place, in part because of the way the story spread: "The Marubo people are not addicted to pornography. There was no hint of this in the forest, and there was no suggestion of it in The New York Times's article." In this article, Nicas blames the people who aggregated him for sensationalizing his article. That may be true, but Nicas's article is also sensationalist.  While the article does explore the history of Marubo people getting access to motor boats and radios and notes "(Some Marubo already had phones, often bought with government welfare checks, to take photographs and communicate when in a city)," it does not explain that many Marubo people have been using the internet for quite some time, and implies that the problems they are now grappling with are things that the Marubo people hadn't thought about before."

"First, the problems were manually translated into formal mathematical language for our systems to understand. In the official competition, students submit answers in two sessions of 4.5 hours each. Our systems solved one problem within minutes and took up to three days to solve the others. AlphaProof solved two algebra problems and one number theory problem by determining the answer and proving it was correct. This included the hardest problem in the competition, solved by only five contestants at this year's IMO. AlphaGeometry 2 proved the geometry problem, while the two combinatorics problems remained unsolved."

"The rise of artificial intelligence has sparked a panic about computers gaining power over humankind. But the real threat comes from falling for the hype"

"CHICAGO, June 18 (Reuters) - Bayer's crop science division is increasingly turning to artificial intelligence in its battle against crop killing weeds, the company told Reuters. Weeds are growing resistant to the herbicides already on the market, and agribusiness companies like Bayer are in a desperate search for new modes of action to help farmers kill them. Bayer's Icafolin product will be its first new mode of action herbicide in some 30 years when it launches in Brazil in 2028."

"With the release of artificial intelligence (AI) video generation products like Sora and Luma, we're on the verge of a flood of AI-generated video content, and policymakers, public figures and software engineers are already warning about a deluge of deepfakes. Now it seems that AI itself might be our best defense against AI fakery after an algorithm has identified telltale markers of AI videos with over 98% accuracy."

""An emotionally intelligent human does not usually claim they can accurately put a label on everything everyone says and tell you this person is currently feeling 80% angry, 18% fearful, and 2% sad," says Edward B Kang, an assistant professor at New York University writing about the intersection of AI and sound. "In fact, that sounds to me like the opposite of what an emotionally intelligent person would say." Adding to this is the notorious problem of AI bias. "Your algorithms are only as good as the training material," Barrett says. "And if your training material is biased in some way, then you are enshrining that bias in code.""

"Recent experiments suggest AI peer reviews tend to be surprisingly good, with 82.4% of scientists finding AI peer reviews more useful than at least some of the human reviews they received from on a paper, and other work suggests AI is reasonably good at spotting errors, though not as good as humans, yet. Regardless of how good AI gets, the scientific publishing system was not made to support AI writers writing to AI reviews for AI opinions for papers later summarized by AI. The system is going to break."

"Cancer diagnosis and management depend upon the extraction of complex information from microscopy images by pathologists, which requires time-consuming expert interpretation prone to human bias. Supervised deep learning approaches have proven powerful, but are inherently limited by the cost and quality of annotations used for training. Therefore, we present Histomorphological Phenotype Learning, a self-supervised methodology requiring no labels and operating via the automatic discovery of discriminatory features in image tiles. Tiles are grouped into morphologically similar clusters which constitute an atlas of histomorphological phenotypes (HP-Atlas), revealing trajectories from benign to malignant tissue via inflammatory and reactive phenotypes. These clusters have distinct features which can be identified using orthogonal methods, linking histologic, molecular and clinical phenotypes. Applied to lung cancer, we show that they align closely with patient survival, with histopathologically recognised tumor types and growth patterns, and with transcriptomic measures of immunophenotype. These properties are maintained in a multi-cancer study."

"Halfway through their three-hour conversation, Brown said something that caught me off-guard. In hindsight, it isn't all that surprising-as long as you're aware of the latest advances-but it may still shock you coming from a physics university professor: A lot of physics professors are using [large language models] just as personal tutors.1"

"The research refers to tech executives discussing how AI models will be able to predict a user's intent and actions. It quotes the chief executive of the largest AI chipmaker, Jensen Huang of Nvidia, who said last year that models will "figure out what is your intention, what is your desire, what are you trying to do, given the context, and present the information to you in the best possible way"."

"But we're not entirely to blame if technology is making us less intelligent. After all, it was designed to captivate us totally. Silicon Valley's dirtiest design feature - which is everywhere once you spot it - is the infinite scroll, likened to the "bottomless soup bowl" experiment, in which participants will keep mindlessly eating from a soup bowl if it keeps refilling. An online feed that constantly "refills" manipulates the brain's dopaminergic reward system in a similar way. These powerful dopamine-driven loops of endless "seeking" can become addictive."

"Her intervention emerged after Sir Paul McCartney became the latest star to back calls for laws to stop mass copyright theft by generative AI companies, warning the technology "could just take over". Bush, who shot to fame with Wuthering Heights in 1978 but whose last album was released in 2011, gave a rare interview this year in which she said she was "very keen" to make a new album, saying: "I've got lots of ideas … it's been a long time.""