The AI company shouting about AI's dangers can't quite bring itself to slow down. T hese are not the words you want to hear when it comes to human extinction, but I was hearing them: "Things are moving uncomfortably fast." I was sitting in a conference room with Sam Bowman, a safety researcher at Anthropic. Worth $183 billion at the latest estimate, the AI firm has every incentive to speed things up, ship more products, and develop more advanced chatbots to stay competitive with the likes of OpenAI, Google, and the industry's other giants. But Anthropic is at odds with itself--thinking deeply, even anxiously, about seemingly every decision. Anthropic has positioned itself as the AI industry's superego: the firm that speaks with the most authority about the big questions surrounding the technology, while rival companies develop advertisements and affiliate shopping links (a difference that Anthropic's CEO, Dario Amodei, was eager to call out during an interview in Davos last week).

AI may blunt our thinking skills - here's what you can do about it There is growing evidence that our reliance on generative AI tools is reducing our ability to think clearly and critically, but it doesn't have to be that way Socrates wasn't the greatest fan of the written word. Famous for leaving no texts to posterity, the great philosopher is said to have believed that a reliance on writing destroys the memory and weakens the mind . Some 2400 years later, Socrates's fears seem misplaced - particularly in light of evidence that writing things down improves memory formation . A growing number of psychologists, neuroscientists and philosophers worry that ChatGPT and similar generative AI tools will chip away at our powers of information recall and blunt our capacity for clear reasoning. What's more, while Socrates relied on clever rhetoric to make his argument, these researchers are grounding theirs in empirical data.

Clark shared his report exclusively with TIME; he also submitted it for publication to a peer-reviewed medical journal, though it has not yet been reviewed or published. He says he's especially worried because the mental-health community has yet to come to terms with these technological advancements and how they might impact children. "It has just been crickets," says Clark, who specializes in treating children and adolescents and is the former medical director of the Children and the Law Program at Massachusetts General Hospital. "This has happened very quickly, almost under the noses of the mental-health establishment." Mental-health professionals should play a role in shaping these bots from their creation, he says, and standards should be set for companies to adhere to.

Fox News Flash top sports headlines are here. Check out what's clicking on Foxnews.com. The WNBA and the Indiana Fever announced that the allegations of "hateful comments" directed toward Angel Reese on May 17 were "not substantiated." Reese and her Chicago Sky faced the Fever and Caitlin Clark, and at one point, the two had to be separated after a flagrant foul by Clark against Reese. The association announced the next day that it would launch an investigation into the alleged comments.

President Donald Trump is turning his attention to the U.S. shipbuilding industry, which is leagues behind its near-peer competitor China, and recently signed an executive order designed to reinvigorate it. Trump's April 10 order instructs agencies to develop a Maritime Action Plan and orders the U.S. trade representative to compile a list of recommendations to address China's "anticompetitive actions within the shipbuilding industry," among other things. Additionally, the executive order instructs a series of assessments regarding how the government could bolster financial support through the Defense Production Act, the Department of Defense Office of Strategic Capital, a new Maritime Security Trust Fund, investment from shipbuilders from allied countries and other grant programs. But simply throwing money at the shipbuilding industry won't solve the problem, according to Bryan Clark, director of the Hudson Institute think tank's Center for Defense Concepts and Technology. "It is unlikely that just putting more money into U.S. shipbuilding – even with foreign technical assistance – will make U.S. commercial shipbuilders competitive with experienced and highly-subsidized shipyards in China, Korea, or Japan," Clark said in a Monday email to Fox News Digital.

The insult "bird brain" should probably be retired. Eurasian jays can pass the marshmallow test, some species have "culture", and even extinct avians like the dodo were probably smarter than we previously thought. Large birds called palaeognaths–the closest living relatives of dinosaurs–are considered more simple. However, a small study found that some large birds are also capable of innovation. They can solve a physical task in order to access food, according to a study published February 20 in the journal Scientific Reports.

California State University on Tuesday unveiled what is believed to be among the largest and most ambitious efforts in higher education to champion artificial intelligence with an initiative to provide tools and training in the groundbreaking technology across the system's 23 campuses. With generative AI's ability to create new content learned from training data, CSU is working to ensure students in the nation's largest and most diverse public university system have equitable access to the technology. Nearly half of CSU's 450,000 students are low-income and about 30% are the first in their families to attend college. The university has enlisted Gov. Gavin Newsom's office and nearly a dozen leading tech companies -- including Microsoft, Meta, Nvidia, OpenAI, Intel, LinkedIn, Amazon Web Services and Alphabet -- to join academics on an advisory board to help identify AI skills needed in the California workforce and provide advice on how best to teach them. Industry partners will also provide internships and apprenticeships to give students real-world experience with AI on the job.

Meta is making a pitch to get its AI into the UK's public health system. The Guardian reported on Tuesday that the company held a hackathon in Europe, tasking over 200 developers to use its Llama AI to improve the country's health services. The company awarded funds for developing AI that shortens wait times in Britain's A&E rooms (ERs in the US). The UK's AI minister, Feryal Clark, told The Guardian that the "government can adopt AI, such as Meta's open-source model, to support our key missions." Earlier this month, Meta CEO Mark Zuckerberg gave the green light for Llama to work with the US government.

Meta's push to deploy its artificial intelligence system inside Britain's public sector has taken a step forward after the tech giant awarded development funding to technology aimed at shortening NHS A&E waiting times. Amid rival efforts by Silicon Valley tech companies to work with national and local government, Meta ran its first "hackathon" in Europe asking more than 200 programmers to devise ways to use its Llama AI system in UK public services and, one senior Meta executive said, "focused on the priorities of the Labour party". The event came after it emerged that Palantir, another US tech company, has been lobbying the Ministry of Justice and government ministers including the chancellor, Rachel Reeves. Microsoft also recently agreed a five-year deal with Whitehall departments to supply its AI Copilot technology to civil servants. Meta's hackathon was addressed by Nick Clegg, the former deputy prime minister and now Meta's president of global affairs based in California.

Recent advancements in transformer-based language models have sparked research into their logical reasoning capabilities. Most of the benchmarks used to evaluate these models are simple: generated from short (fragments of) first-order logic sentences with only a few logical operators and quantifiers. We construct the natural language dataset, DELTA$_D$, using the expressive description logic language $\mathcal{ALCQ}$. DELTA$_D$ comprises 384K examples and increases in two dimensions: i) reasoning depth, and ii) linguistic complexity. In this way, we systematically investigate the logical reasoning capabilities of a supervised fine-tuned DeBERTa-based model and two large language models (GPT-3.5, GPT-4) with few-shot prompting. We show that the DeBERTa-based model fine-tuned on our dataset can master the entailment checking task. Moreover, the performance of GPTs can improve significantly even when a small number of samples is provided (9 shots). We open-source our code and datasets.