#generative-ai

#generative-ai

NVIDIA has long been a key supplier to Musk's companies. Tesla ( NASDAQ:TSLA ), for instance, relies heavily on NVIDIA's hardware for its autonomous driving systems and AI training. But it's one of Musk's latest endeavors, xAI, that has Huang particularly fired up as it is building out a massive AI infrastructure - including the Colossus supercluster, a 2-gigawatt beast powered by NVIDIA GPUs.

In the age of generative AI, not all is what it seems. From photorealistic videos of OpenAI CEO Sam Altman's head grotesquely poking out of a toiletto AI chatbots that can blaze through a Turing Test without raising suspicion, it's never been harder to distinguish between reality and a fiction dreamed up by an AI. Still, some instances of AI use still stand out like a sore thumb. Take, for instance, this Zillow listing for a single-family rental home in Detroit, Michigan.

Across the six countries we looked at (Argentina, Denmark, France, Japan, the United Kingdom, and the United States), the proportion of people who say they have ever used a generative AI tool jumped from 40% in 2024 to 61% in 2025. More significantly, weekly usage surged from 18% to 34%. In the U.S., where adoption was already higher, growth was more modest but still significant, rising from 31% to 36% weekly use.

It can be pretty tough to predict when the next share split will be for any given name. Undoubtedly, some stocks can continue flying into the high hundreds and even settle into the thousands for many years at a time. And while stock splits are great for accessibility, I do think that with the rise of partial share purchases that stock splits are becoming less of a critical factor for managers.

To virtually try on a pair of shoes, users need to tap on any product listing on Google, select the "Try It On" button, and then add a full-length photo of themselves. After a few seconds, they will see the shoes from the listing on a digital version of themselves. Users have the option to save or share the image with others.

We're living through an era of accelerated change, and leaders feel it every day. In five years, we've experienced the impacts of Covid and how it rebooted the norms we took for granted in how we work; the advent of gen AI and the reckoning with its massive impact on business as usual; and high geopolitical instability and its paralyzing effects on business decisions.

Cybercriminals aren't just breaking into systems anymore; increasingly, they're breaking into identities. By impersonating trusted companies through look-alike domains, fake apps or cloned websites, attackers turn logos, tone and messaging into tools of deception. For communications and marketing leaders, this is a reputational flash fire that spreads faster than your crisis comms team can respond. And with generative AI making fake campaigns nearly indistinguishable from the real thing, brand impersonation has become one of the most under-recognized business risks today.

Just last month, I watched my 12-year-old nephew ask ChatGPT to write a story about a dragon who codes websites. Within seconds, he had a three-page tale complete with technical jokes I barely understood. That moment crystallized something I'd been thinking about for months: generative AI isn't just changing how we work, it's reshaping how we create, learn, and solve problems.

Yet risk management teams are still expected to work with processes and tools designed for a more leisurely age-manual reviews of hundred-page documents, hand-typed case narratives and memos, and compliance processes that chase regulations one change at a time. Generative AI (gen AI) offers a different path, changing how risk teams work. Instead of spending hours manually combing through documents, teams can receive clear, decision-ready summaries in minutes. While technology does not replace professional judgment, it accelerates the groundwork, allowing experts to concentrate on assessing exposures and taking action before risks escalate.

The state of AI in software engineering report from Harness, based on a Coleman Parker poll of 900 software engineers in the US, UK, France and Germany, found that almost two-thirds of the people surveyed (63%) are already using artificial intelligence (AI) tools for code generation, and just over half (51%) anticipate that AI tools will significantly impact the speed of code creation.

"Every function and every strategic business unit is now using gen AI,"

This technology is now really good enough to do something that the fashion industry has wanted to do for about 30 years. The Clueless comparison comes up a lot, and so it's been in the public consciousness for some time, but the tech has never really been there yet,

In the basement of the conference hall, the working-group-turn-therapy session offered worksheets to attendees to find the venn diagram between what individuals enjoy and current industry needs. "You just sometimes have to pause and say, 'Am I going to be OK? Is this going to be alright?', Mirza said, adding that it was important to acknowledge that humans can do some things "better" than AI.

This makes Zillow the only real estate app available through the ChatGPT platform. When users now ask ChatGPT questions like, What can I afford nearby? or Show me homes with a big backyard, the Zillow app in ChatGPT will provide them with listings complete with photos, maps and pricing. Zillow noted that this information will be attributed to the listing agent and MLS.

Deloitte has agreed to refund part of an Australian government contract after admitting it used generative AI to produce a report riddled with fake citations, phantom footnotes, and even a made-up quote from a Federal Court judgment. The consulting giant confirmed it would repay the final installment of its AU$440,000 ($291,245) agreement with Australia's Department of Employment and Workplace Relations (DEWR) after the department re-uploaded a corrected version of the report late last week - conveniently timed for the weekend. The updated version strips out more than a dozen bogus references and footnotes, rewrites text, and fixes assorted typos, although officials insist the "substance" of the report remains intact. The work, commissioned last December, involved the Targeted Compliance Framework - the government's IT-driven system for penalizing welfare recipients who miss obligations such as job search appointments.

APIs, or application programming interfaces, started out as a mechanism to let computers talk to other computers, but somewhere along the way, they've evolved into an ecosystem all their own. For virtually any development need, there is likely an API ready and waiting to deliver. Like the Lincoln Logs or Lego bricks of old, APIs are building blocks for creating applications.

A Palo Alto lawyer with nearly a half-century of experience admitted to an Oakland federal judge this summer that legal cases he referenced in an important court filing didn't actually exist and appeared to be products of artificial intelligence "hallucinations." Jack Russo, in a court filing, described the apparent AI fabrications as a "first-time situation" for him and added, "I am quite embarrassed about it."

Billions of dollars are flowing into artificial intelligence companies such as OpenAI and Anthropic, yet investors in software firms that should also be well-positioned to benefit from the AI boom have largely been left on the sidelines. Cloud-based company Salesforce is down 28% year to date, closing at $240.36. Adobe is down 21% ending at $346.74. And a Morgan Stanley basket of SaaS stocks, a group of software-as-a-service companies the bank tracks to gauge sector performance, fell more than 6% this year.

To help us potentially answer that question, I'll be hosting a live conversation with prominent AI critic Ed Zitron on October 7 at 3:30 pm ET as part of the Ars Live series. As Ars Technica's senior AI reporter, I've been tracking both the explosive growth of this industry and the mounting skepticism about its sustainability. You can watch the discussion live on YouTube when the time comes.

The improved voice assistant can generate responses instead of simply repeating what it's been programmed to say. With generative AI, Alexa+ can engage in more natural conversations with users, rather than simply listening to a prompt and responding with a predetermined action. It also supports memory to recall preferences and conversations, maintaining context throughout a conversation. This allows it to remember what you asked at the beginning of a chat and respond in that context without you having to say, "Alexa" again.

Leveraging neuroscience principles, this pre-campaign solution offers creative intelligence and optimisation. Smarter creatives for a more human era of advertising Designed to improve ad performance through in-depth creative analysis and actionable insights, brands and agencies can now benefit from enhanced display and video contextual creatives that resonate more effectively with their audiences on the open web and CTV. Early activations have shown strong performance uplifts across the funnel.

Meta Platforms said on Wednesday it would begin using people's interactions with its generative AI tools to personalize content and advertising across its apps such as Facebook and Instagram starting on December 16. Users will be notified of the changes from October 7 and they will not have an option to opt out, the social media giant said, though the update applies only to those who use Meta AI.

DynamicLink offers real-time network configuration. It enables customers to turn up and scale network connectivity services such as DIA, Ethernet, Cloudlink, and IP-VPN at any location. This includes clouds, on-net locations, and type 2 off-net sites. Once connected, all network services are configurable directly through the DynamicLink platform. No on-premise physical equipment is required, which future-proofs the network. Other features of the Zayo DynamicLink Naas include: Self-service management: Manage network configurations, bandwidth allocation, cloud connectivity, and other elements directly through the platform, without manual provisioning or service tickets.

Generative AI is moving from drafting emails to shaping labor markets. On platforms like Fiverr, Freelancer.com, and Upwork, millions of workers rely on hourly rates to compete for jobs. As AI increasingly influences pricing recommendations, business leaders face a critical question: Do large language models (LLMs) make these pricing decisions fairly? Or do they perpetuate the same biases and inequities that have long plagued human labor markets?