#generative-ai

#generative-ai

Pantone's Color of the Year Concept: The Pantone company produces the Pantone Matching System (PMS) and the Pantone Fashion, Home + Interiors (FHI) System, proprietary color spaces. PMS is used primarily in graphics for printing, packaging, and digital media. FHI is used in a wide range of other industries including fashion, cosmetics, fabric, plastics, and paints. When Pantone PMS inks are applied to a physical color reproduction process, it is frequently possible to accurately match the colors from your digital data visualization to hard copy output...

A few years ago, engineering inside a company meant this:solve the problem that exists here. Even if the same problem had been solved elsewhere, we often didn't know.We didn't have access to that knowledge.We didn't have the tools.So we engineered our way through it. Engineering is always defined by the tools available and the impact they allow. And that's exactly why Generative AI changes things so fundamentally.

It did so with the blessing of engineers at NASA's Jet Propulsion Laboratory (JPL), who decided to delegate the meticulous work of route planning to Anthropic's AI model. This involves consulting orbital and surface imagery of Mars in order to set a series of waypoints to guide the rover's movements. Once plotted, this data gets transmitted about 140 million miles or 225 million kilometers - the average distance from Earth to Mars - where it's received by Perseverance as a navigational plan.

This article is not about AI. It's about why memory, not models, is the difference between compounding value and constant reset. It is about what happens when systems that sound intelligent cannot sustain continuity, and why that failure quietly breaks the economic logic of advertising. When continuity disappears, compounding stops. When meaning stops compounding, efficiency collapses. Spending rises, trust erodes, and the system looks like it is working right up until the moment it becomes unaffordable.

The stock prices of some major video game companies, including Take-Two Interactive, Roblox, and Unity, had notable declines on Friday, just a day after Google announced its Project Genie tool that lets users prompt AI to generate interactive experiences, Reuters reports. Take-Two's stock price closed at $220.30 (down 7.93 percent from yesterday), Roblox's closed at $65.76 (down 13.17 percent), and Unity's closed at $29.10 (down 24.22 percent).

The US is now leading a global surge in new gas power plants being built in large part to satisfy growing energy demand for data centers. And more gas means more planet-heating pollution. Gas-fired power generation in development globally rose by 31 percent in 2025. Almost a quarter of that added capacity is slated for the US, which has surpassed China with the biggest increase of any country.

The advertising industry has always been in the business of making things, such as the OOH billboard, the 30-second spot, the snappy social post, the standard website: final, finite assets polished and pushed into the world. Agencies were paid, often by the hour, for producing final versions of these things and then moved on to the next project. Even with generative AI entering the picture, much of the conversation remains focused on making those same things faster or cheaper.

Will AI lead to layoffs? Are people already losing their jobs to AI? While overall employment in the U.S. is still relatively low, there is considerable speculation that the adoption of generative AI was a cause of recent layoffs and slowed hiring, particularly in the tech industry, for entry-level workers, and in customer service and programming jobs. More may be coming: Leading CEOs-including those from Ford, Amazon, Salesforce, and JP Morgan Chase-have proclaimed that many white-collar jobs at their companies will soon disappear.

Google saidits Search engine could break if the company is forced to implement strict new controls to protect and nurture web content in the AI era. The warning came after UK antitrust regulators proposed new rules for Google Search that would give publishers more control over how their content is used in AI features such as Google's AI Overviews and AI Mode. In response, Google said it is working on new ways to give websitesmore control over how AI chatbots and AI-powered answer engines access and use online content.

In 2025, we rebuilt the foundations of our AI program [and] over the coming months, we're going to start shipping our new models and products, and I expect us to steadily push the frontier over the course of the new year. Our world-class recommendation systems are already driving meaningful growth across our apps and ads business, but we think that the current systems are primitive compared to what will be possible soon. Today, our systems help people stay in touch with friends, understand the world, and find interesting and entertaining content.

I wanted to transform the figures and bodies into more dream-like shapes through collage and looping and repetition,

Federal and state governments have outlawed "revenge porn," the nonconsensual online sharing of sexual images of individuals, often by former partners. Last year, South Carolina became the 50th state to enact such a law. The recent rise of easy-to-use generative AI tools, however, has introduced a new wrinkle: What happens when those images look real but have been created by AI? What's lawful in the U.S. and who's responsible is not yet clear.

But as schools seek to navigate into the age of generative AI, there's a challenge: Schools are operating in a policy vacuum. While a number of states offer guidance on AI, only a couple of states require local schools to form specific policies, even as teachers, students, and school leaders continue to use generative AI in countless new ways. As a policymaker noted in a survey, "You have policy and what's actually happening in the classrooms-those are two very different things."

Publishers' adoption of generative AI is reducing the friction between content and format, making it easier for the same story to appear as shorter summaries, audio, or video, often in real time. To some publishers, a text article may soon be more of a vehicle for original reporting, not a final product. That information could become no longer available strictly in a static piece of content, but transformed into different shapes and formats, based on a reader's signals and preferences.

Adobe has improved the tools for Generative Fill, Generative Expand and Remove that are powered by its Firefly generative AI platform. Using these tools for image editing should now produce results in 2K resolution with fewer artifacts and increased detail all while delivering better matches for the provided prompts.

It can be hard sometimes to keep up with the deluge of generative AI in Google products. Even if you try to avoid it all, there are some features that still manage to get in your face. Case in point: AI Overviews. This AI-powered search experience has a reputation for getting things wrong, but you may notice some improvements soon. Google says AI Overviews is being upgraded to the latest Gemini 3 models with a more conversational bent.

Yahoo may not be the most headlined company in tech anymore, but its reach can't be denied. With nearly 250 million monthly users across the country and 700 million globally, it's still the second most popular email client in the world, and the third most popular search engine in the U.S. (even though that search engine has technically been powered by either Bing or Google since 2009).

Naturally, you might be inclined to perceive content creation as social media savviness and posting influencer-style content online, but that's not exactly what these professionals are after. By "content creation," it means turning leadership and industry-standard thinking into creative output that is structured in a way to grab attention and generate leads. It involves the ability to communicate and express ideas clearly online through multimodal formats and across texts and visuals.

[The content of this article has been produced by our advertising partner.] As enthusiasm for generative artificial intelligence sweeps across boardrooms, a growing number of executives are confronting a harder question: how to turn early experimentation into sustained business value. Experience advising large organisations suggests that success rarely comes from isolated pilots or ad hoc deployments. Instead, companies that extract meaningful returns tend to build a self-reinforcing cycle that links technology choices, people strategy and long-term foundations.

Generative AI tools have created a flood of fake, sometimes misleading, content about the Holocaust that experts warn are distorting the realities of the history of Nazi Germany for young audiences. An emaciated and apparently blind man stands in the snow at the Nazi concentration camp of Flossenbuerg: the image seems real at first but is part of a wave of AI-generated content about the Holocaust.

Some 12% of employed adults say they use AI daily in their job, according to a Gallup Workforce survey conducted this fall of more than 22,000 U.S. workers. The survey found roughly one-quarter say they use AI at least frequently, which is defined as at least a few times a week, and nearly half say they use it at least a few times a year.

Donald Trump seems to have come back from the future. From that dystopian and bleak tomorrow toward which some seek to lead us, taking advantage of the growing polarization and the prevalence of emotions over rationality. From that digital realm characterized by the rise of social media, now made stronger and more chaotic by the explosion of generative artificial intelligence. Ezra Klein recently discussed this on his podcast with the journalist and activist Masha Gessen.

Glean Chat offers an experience very similar to OpenAI's ChatGPT, but limited to an enterprise's content and resource boundaries, Jain said. When a user makes a natural language-based query, the company's search technology uses APIs to check all the content and activity - including information in applications - pertaining to the query before storing it in a customer's cloud environment. The data stored is then fed to large language models (LLMs), which have been trained on that particular enterprise's data,

Back in December, when SFWA announced that it was updating its rules for the Nebula Awards. Works written entirely by large language models would not be eligible, while authors who used LLMs "at any point during the writing process" had to disclose that use, allowing award voters to make their own decisions about whether that usage would affect their support.

Now that the dust has settled and AI evolution has become a truth we must all live under, this narrative feels outdated. The agencies that thrive won't be those resisting AI, nor those blindly automating everything in sight, but those that incorporate it, intelligently, in their process. The real opportunity lies not in the battle of human v AI, but in the partnership of human plus AI.