#generative-ai

#generative-ai

Born on Dec. 31, 1932 in Brooklyn, Nancy moved to Staten Island in 1978 with her family. A 1950 graduate of Lafayette High School in Brooklyn, she pursued a secretarial career before marrying John R. Gentile, Sr. on Aug. 31, 1952, sharing 65 years of marriage. Nancy devoted herself to being a homemaker, mother, and grandmother, and was an active member of St. Mary's Church in Brooklyn and St. Teresa's Church on Staten Island.

As Big Tech faces criticism for the environmental impact of artificial intelligence, companies have said the technology will actually help solve climate change. But those claims often lack scientific evidence, a new report finds. And when touting the climate benefits of AI, tech companies conflate "traditional AI" with the more environmentally harmful generative AI, a form of "bait-and-switch" that amounts to greenwashing.

HackerOne does not train generative AI models, internally or through third-party providers, on researcher submissions or customer confidential data. Neither, she continued, are researcher submissions used to "train, fine-tune, or otherwise improve generative AI models." And third-party model providers are not permitted to "retain or use researcher or customer data for their own model training." Sprague assured researchers: "You are not inputs to our models... Hai is designed to complement your work, not replace it."

As generative artificial intelligence (AI) advances in its capabilities, people are using tools like ChatGPT and Grok, the AI embedded in the social media platform X (formerly Twitter), for general brainstorming. These AI tools have become (maybe-not-so) trusted advisors that can spark ideas or help people sort out their thoughts. You have to fact-check every bit of solid information, since GenAI isn't known for its accuracy.

Runway, a generative AI platform for creating and editing videos, images, and multimedia content using text-to-video and related AI models, has raised $315M in Series E funding led by General Atlantic. Founded by Alejandro Ortiz, Anastasis Germanidis, and Cristobal Barrera in 2018, Runway has now raised a total of $859.5M in reported equity funding. Garner Health, a healthcare benefit platform for finding high-quality in-network doctors, has raised $118M in Series D funding led by Kleiner Perkins.

AI-driven authoring is our second major area of focus for 2026. At the Game Developer Conference in March, we'll be unveiling a beta of the new upgraded Unity AI, which will enable developers to prompt full casual games into existence with natural language only, native to our platform - so it's simple to move from prototype to finished product.

In a statement, the Irish DPC said: "The inquiry concerns the apparent creation, and publication on the X platform, of potentially harmful, non-consensual intimate and/or sexualized images, containing or otherwise involving the processing of personal data of EU/EEA data subjects, including children, using generative artificial intelligence functionality associated with the Grok large language model via the Grok account within the X platform."

One scientist at MIT, Cyrus Clarke, is working to do just that. Alongside a team of fellow researchers, Clarke has developed a physical machine called the Anemoia Device, which uses a generative AI model to analyze an archival photograph, describe it in a short sentence, and, following the user's own inputs, convert that description into a unique fragrance. The word "anemoia" was coined by author John Koenig and included in his 2021 book, The Dictionary of Obscure Sorrows.

As the AI revolution accelerates and continues to reshape traditional business models, it has triggered a cascade of new legal, regulatory and policy challenges. At the forefront of these emerging issues are a growing number of high-stakes legal battles between content creators and major Generative AI (GenAI) companies behind large language models (LLMs). This article examines key legal themes and critical questions arising from recent developments at the intersection of AI and Copyright law.

Algorithms can now transcribe meetings in real time, translate across languages instantly, summarise dense reports in seconds, and generate content tailored to different reading levels. For many users, these are not just productivity gains. They are meaningful improvements in access, sometimes the difference between participating fully and struggling quietly on the margins. Voice interfaces reduce reliance on complex forms. Automated captions support participation in live conversations. Generative tools can rephrase technical or academic language into something clearer and more digestible.

Airbnb says its custom-built AI agent is now handling roughly a third of its customer support issues in North America, and it's preparing to roll out the feature globally. If successful, the company believes that in a year's time, more than 30% of its total customer support tickets will be handled by AI voice and chat in all the languages where it also employs a human customer service agent.

According to a UK casting notice viewed by Variety, the producers of Killing Satoshi reserve the right to "change, add to, take from, translate, reformat or reprocess" actors' performances, using "generative artificial intelligence (GAI) and/or machine learning technologies." No digital replicas will be created of performers, but it sounds like plenty of other AI-driven tweaks are on the table.

People who enter phrases such as best flowers for Valentine's Day, might see ads from an Albertsons banner in their area. Albertsons' participation in the pilot program follows other steps the company has taken to integrate agentic and generative AI tools into its operations. Albertsons said its retail media unit, Albertsons Media Collective, will be looking to help brands reach shoppers through ChatGPT as the pilot program progresses.

Few tools have reshaped day-to-day work in tech as quickly as generative AI; coding tasks that once took developers days-or weeks-can now be spun up in seconds. So naturally, many workers are now embracing "vibes" to program, instead of writing software line by line. But Minecraft creator Markus Persson, the billionaire developer better known as "Notch," is sounding an alarm: even if tech companies are embracing coding with AI, that doesn't make it a good thing.

Zach Stauber's day begins before the first customer support ticket even lands in the queue.

The idea of machines that can build even better machines sounds like sci-fi, but the concept is becoming a reality as companies like Cadence tap into generative AI to design and validate next-gen processors that also use AI. In the early days of integrated circuits, chips were designed by hand. In the more than half a century since then, semiconductors have grown so complex and their physical features so small that it's only possible to design chips using other chips.

Meta has been going all in on AI, whether people want it or not, and now it's bringing more features in that vein to Facebook. The network's latest move is to let people use Meta AI to animate their profile photos. Because what better way to express your individuality than to use a pre-canned AI-generated animation on your own face?

AI was supposed to lessen your workload, but it's actually making you work more. That's the finding of an eight-month study from UC Berkeley. Researchers tracked 200 employees at a U.S. tech company and discovered workers using generative AI didn't work less-they worked faster and took on broader projects, often extending work into more hours voluntarily. The main culprits were task expansion, with employees doing work that previously belonged to others, and blurred boundaries as workers prompted AI during lunch or breaks.

Ghostnote is a fast-growing music startup based in Berlin. Since launching in 2025, our mission has been to create the biggest label you've never heard of. At Ghostnote, we create ambient music universes with their own identities - shaped by shared moods, passions, and repeat rituals. We mix startup energy with a deep love for music, creative design, and community-building.

The rise of generative AI is often seen as an existential threat to the SaaS model. Interfaces would disappear, software would fade away, and existing players would become irrelevant. However, new figures from Databricks paint a different picture. Rather than undermining SaaS, AI appears to be increasing its use. This week, Databricks reported a revenue run rate of $5.4 billion, a 65 percent year-on-year increase. More than a quarter of that now comes from AI-related products.

Across industries, artificial intelligence is being framed as the next major force reshaping operations, customer expectations, and the way businesses evaluate risk. Real estate is at the center of that conversation, and title and settlement companies are not just on the sidelines. In fact, the title industry has already moved quickly. According to a recent survey conducted by Qualia, more than 90% of title and escrow professionals have adopted generative AI in at least one form.

The profile also explains why "Ambersons," while much less famous than Welles' first film "Citizen Kane," remains so tantalizing - Welles himself claimed it was a "much better picture" than "Kane," but after a disastrous preview screening, the studio cut 43 minutes from the film, added an abrupt and unconvincing happy ending, and eventually destroyed the excised footage to make space in its vaults.

Google sidestepped the toughest penalties in a landmark antitrust clash, retaining control of Chrome and Android. In a court ruling, Judge Amit P. Mehta barred the search giant from exclusive search deals, ordered limited data sharing with rivals, and restricted its app store tie-ins. The decision comes after the Justice Department's landmark monopoly case against Google. Judge Mehta rejected the Justice Department's call for drastic remedies, declining to force a divestiture or unwind Google's multibillion-dollar default search arrangement with Apple's Safari browser.

ChatGPT owner OpenAI has a workforce double the size of Anthropic, while Microsoft Corp. and Alphabet Inc.'s Google have 228,000 and 183,000 staff respectively, and boast enormous capital positions and distribution networks. Yet Anthropic's AI tools for generating computer code and operating computers go beyond anything these larger companies have managed to launch. OpenAI and Microsoft have struggled to ship products with as much impact recently.

Generative AI exponentially brings down the cost of building solutions. It lets people build exactly what they need to solve an exact problem in an exact moment. It lets people own their own solutions. This is great for a lot of specific problems that need specific solutions that wouldn't normally get solved easily. This has been the evergreen promise of computers and programming and hacking. But there's a difference between solving your specific problem, and owning a problem domain.