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"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."

"Nelson said it's likely that AI will replace some jobs in Hollywood while also potentially creating more. He pointed to the entrance of computer-editing software, and how that replaced more manual movie-editing jobs and processes. "There are some jobs that might just go away entirely," he said. "There might be some pain, but through it all, I think there's just going to be more opportunities." Media and legal experts also said the use of AI in filmmaking raises several concerns - and the law is still unclear."

"For Bejar, the controls in place on social networks like Instagram are not sufficient because they turn "inherently human interactions into an objective assessment". There are too few options for users to hide content or flag comments and DMs and explain why it made them uncomfortable even if it doesn't violate Meta's specific policies, he said. "There's a question of how clearly bad does the content need to be to warrant removal? And that means you set a line somewhere and have to define a criterion where either a computer system or a human can evaluate a piece of content," Bejar said."

"Trying to shake humanity from its complacency about this, Yudkowsky published an op-ed in Time last spring that advised shutting down the computer farms where AIs are grown and trained. In clear, crisp prose, he speculated about the possible need for airstrikes targeted on datacentres; perhaps even nuclear exchange. Was he on to something?"

"The announcement also highlights the growing partnership between Meta and Nvidia. Nvidia is a key Meta partner, providing the Facebook parent with computing chips called GPUs to help train its AI models, including the latest version of Llama."

"In 1987, economist Robert Solow famously observed that the computer age was evident everywhere except in productivity statistics. Manyika warned that we could face a similar scenario with AI. "We could have a version of that-where we see this technology everywhere, on our phones, in all these chatbots, but it's done nothing to transform the economy in that real fundamental way," he told the FT."

"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."

"Ultimately, he suggests, each user would have their own "large language model" (LLM), the underlying technology of services such as ChatGPT, which would be trained on their own speech and behaviour patterns, to let them generate extremely personalised responses to queries and requests. Such systems could be a natural progression from AI tools that already exist today. Services such as Gmail can summarise and suggest replies to emails based on previous messages, while Microsoft Teams will transcribe and summarise video conferences, automatically generating a to-do list from the contents."

"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.""

"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."

"The research, conducted at Vision and AI Lab of the Department of Computational and Data Sciences, offers a novel approach to mitigating bias in popular image-generative models without the need for additional data or model retraining."

"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"

Tenant-screening systems like SafeRent are often used in place of humans as a way to 'avoid engaging' directly with the applicants and pass the blame for a denial to a computer system, said Todd Kaplan, one of the attorneys representing Louis and the class of plaintiffs who sued the company. The property management company told Louis the software alone decided to reject her, but the SafeRent report indicated it was the management company that set the threshold for how high someone needed to score to have their application accepted. Louis and the other named plaintiff alleged SafeRent's algorithm disproportionately scored Black and Hispanic renters who use housing vouchers lower than white applicants. SafeRent has settled. In addition to making a $2.3m payment, the company has agreed to stop using a scoring system or make any kind of recommendation when it comes to prospective tenants who used housing vouchers for five years.

The British-Canadian computer scientist often touted as a "godfather" of artificial intelligence has shortened the odds of AI wiping out humanity over the next three decades, warning the pace of change in the technology is "much faster" than expected. Prof Geoffrey Hinton, who this year was awarded the Nobel prize in physics for his work in AI, said there was a "10% to 20%" chance that AI would lead to human extinction within the next three decades. Previously Hinton had said there was a 10% chance of the technology triggering a catastrophic outcome for humanity.

"This is a broader pattern we're seeing across other fields where LLMs are being deployed. Whether it's coding, writing, design, law, or medicine, the most effective AI users are people who already have deep domain expertise. Expertise isn't obsolete; it's more important than ever-because the value isn't just in producing outputs quickly. It's in being able to vet, steer, and improve those outputs. The future of computer science education isn't about teaching less. It's about teaching differently. We still need students who can understand how software works at a fundamental level. But we also need to train them to collaborate with AI-to become fluent in prompting, reviewing, debugging, and refining AI-generated outputs. Mastering this hybrid skillset will be critical not just for engineers, but for anyone hoping to thrive in a world where knowledge work is increasingly AI-augmented. Practically speaking, AI could dramatically lower the barrier to entry for students. When I was in high school, it would take months (if not years) of training in CS before you could create a game or app that was genuinely cool to people that aren't inherently curious and nerdy."

"A rise in online racism driven by fake images is "just the start of a coming problem" after the latest release of X's AI software, online abuse experts have warned. Concerns were raised after computer-generated images created using Grok, X's generative artificial intelligence chatbot, flooded the social media site in December last year. Signify, an organisation that works with prominent groups and clubs in sports to track and report online hate, said it has seen an increase in reports of abuse since Grok's latest update, and believes the introduction of photorealistic AI will make it far more prevalent."

"A second major academic institution has accused Uber of using opaque computer code to dramatically increase its profits at the expense of the ride-hailing app's drivers and passengers. Research by academics at New York's Columbia Business School concluded that the Silicon Valley company had implemented "algorithmic price discrimination" that had raised "rider fares and cut driver pay on billions of … trips, systematically, selectively, and opaquely"."

"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.""

""Considering that just 10 years ago, China claimed a mere 28 systems on the list, with none ranked in the top 30, the nation has come further and faster than any other country in the history of supercomputing," said Top500. The US has four supercomputers in the top 10 of the Top500 list, while China has two which currently occupy the top two places. The other positions in the top 10, published twice a year, are occupied by machines from Japan, Switzerland, Germany and Saudi Arabia."