There is an all-out global race for AI dominance. The largest and most powerful companies in the world are investing billions in unprecedented computing power. The most powerful countries are dedicating vast energy resources to assist them. And the race is centered on one idea: transformer-based architecture with large language models are the key to winning the AI race. What if they are wrong?
It's fair to say that belief is rarely rational. We organize information into patterns that "feel" internally stable. Emotional coherence may be best explained as the "quiet logic" that makes a story satisfying, somewhat like a leader being convincing or a conspiracy being oddly reassuring. And here's what's so powerful-It's not about accuracy, it's the psychological comfort or even that "gut" feeling. When the pieces fit, the mind relaxes into complacency (or perhaps coherence).
It's a phenomenon tied to the prevalence of text-based apps in dating. Recent surveys show that one in fiveadults under 30 met their partner on a dating app like Tinder or Hinge, and more than half are using dating apps. For years, app-based dating has been regarded as a profoundly alienating experience, a paradigm shift which coincides with a rapid rise in social isolation and loneliness.
Large Language Models (LLMs) like ChatGPT, Claude, Gemini and Perplexity are rapidly becoming the first place decision-makers go for answers. These systems don't return a page of links; they generate a synthesized response. Whether your brand is included, or ignored, in that answer increasingly determines your relevance in the buying journey. This changes the marketer's playbook. Visibility is no longer only about ranking on Google. It's about whether you're present in AI-generated responses, how you're framed,
His reward for going along with those demands, after being a faithful servant for 17 years at the edutech company? Getting replaced by a large language model, along with a couple dozen of his coworkers. That's, of course, after his boss reassured him that he wouldn't be replaced with AI. Deepening the bitter irony, Cantera - a researcher and historian - had actually grown pretty fond of the AI help, telling WaPo that it "was an incredible tool for me as a writer."
The late English writer Douglas Adams is best known as the author of the 1979 book The Hitchhiker's Guide to the Galaxy. But there is much more to Adams than what is written in his Wikipedia entry. Whether or not you need to know that his birth sign is Pisces or that libraries worldwide store his books under the same string of numbers - 13230702 - you can if you head to an overlooked corner of the Wikimedia Foundation called Wikidata.
Despite what watching the news might suggest, most people are averse to dishonest behavior. Yet studies have shown that when people delegate a task to others, the diffusion of responsibility can make the delegator feel less guilty about any resulting unethical behavior. New research involving thousands of participants now suggests that when artificial intelligence is added to the mix, people's morals may loosen even more.
Cybersecurity veteran Brian Gumbel - president and chief operating officer (COO) at Dataminr - works at the confluence of real-time information and AI. Mainlined into humanity's daily maelstrom of data, Dataminr detects events "on average 5 hours ahead of the Associated Press" - it picked up the 2024 Baltimore bridge collapse, for example, about an hour ahead of all mainstream media sources. The accuracy rate of its "news" is, says Gumbel, a highly impressive 99.5%.
Researchers took a stripped-down version of GPT-a model with only about two million parameters-and trained it on individual medical diagnoses like hypertension and diabetes. Each code became a token, like a word in the sentence of a prompt, and each person's medical history became a story unfolding over time. For a little context, GPT-4 and GPT-5 are believed to have hundreds of billions to trillions of parameters, making them hundreds of thousands of times larger than this small model.
GAIA is revolutionising the legal industry with AI that automates legal work and empowers legal professionals to work more efficiently and effectively. We're building the future of legal technology, and we are looking for a driven, versatile person to help accelerate our growth. The Role As we scale, we're looking for an exceptional Product Engineer who's passionate about experimenting with large language models (LLMs), turning ideas into working prototypes, and pushing the boundaries of how AI transforms knowledge-heavy industries.
The success of DeepSeek's powerful artificial intelligence (AI) model R1 that made the US stock market plummet when it was released in January did not hinge on being trained on the output of its rivals, researchers at the Chinese firm have said. The statement came in documents released alongside a peer-reviewed version of the R1 model, published today in Nature.
For decades, public relations agencies controlled the gatekeeping process between brands and media. Companies relied on bloated retainers, traditional press kits, and personal connections to get coverage. But that model is fading fast. Today, anyone with an internet connection can leverage AI to create compelling press releases, distribute them on platforms like PRWeb, and pitch journalists directly-often faster, cheaper, and with more precision than legacy firms.
Paid media has always been about positioning-brands spending strategically to reach audiences where they live, scroll, and search. But the definition of "visibility" is shifting. Today, being seen is no longer limited to ad placements, keyword bidding, or social media impressions. Artificial intelligence has become the new filter through which information is discovered, recommended, and trusted. The rise of large language models (LLMs) like ChatGPT, Perplexity, and Claude, combined with real-time indexing from Google and Apple News, has changed how people interact with content.
Y Combinator startup Eloquent AI has raised $7.4 million in seed funding to provide AI-fueled customer service in the financial services industry. The startup says its AI product can help with complex, regulated workflows, such as onboarding new customers and unfreezing bank cards. Eloquent was cofounded by Tugce Bulut, who previously cofounded market research startup Streetbees. Bulut left the company two years ago. Last month it went into administration and laid off all staff.
AI mode is an advanced version of Google Search that uses large language models to summarise information from the web, so you can spend more time on Google than visiting websites. Google AI mode advanced analysis Source: BleepingComputer Google AI mode can answer complex answers, process images, summarize information on the web, create tables, graphs, charts, and even help you code.
With artificial intelligence integrating - or infiltrating - into every corner of our lives, some less-than-ethical mental health professionals have begun using it in secret, causing major trust issues for the vulnerable clients who pay them for their sensitivity and confidentiality. As MIT Technology Review reports, therapists have used OpenAI's ChatGPT and other large language models (LLMs) for everything from email and message responses to, in one particularly egregious case, suggesting questions to ask a patient mid-session.
Last month, at the 33rd annual DEF CON, the world's largest hacker convention in Las Vegas, Anthropic researcher Keane Lucas took the stage. A former U.S. Air Force captain with a Ph.D. in electrical and computer engineering from Carnegie Mellon, Lucas wasn't there to unveil flashy cybersecurity exploits. Instead, he showed how Claude, Anthropic's family of large language models, has quietly outperformed many human competitors in hacking contests - the kind used to train and test cybersecurity skills in a safe, legal environment.
