Artificial intelligence

Artificial intelligence

"The truth of the matter is that there's an unreleased title themed around AI, and for that specific title, a programmer mentioned they're deliberately having AI handle the programming as well," said Hino. "They used that as an example to suggest that an era like that might be coming, and that's what got blown out of proportion." "On the flip side, if they really were creating 80%-90% percent of the code with AI and successfully making games that way, it'd be incredibly impressive,"

Generating content for design mocks or writing simple scripts to automate boring tasks. I even built a Figma plugin to easily rename all the icons in our icon library, to avoid the repetitive work, but also because I was curious if I could make it work. One thing led to another. I started playing around and started finding excuses to explore. I built an iOS app to keep track of daily exercise, started playing with V0 and Lovable to quickly brainstorm and generate rough design

For the past three years, AI 's breakout moment has happened almost entirely through text. We type a prompt, get a response, and move to the next task. While this intuitive interaction style turned chatbots into a household tool overnight, it barely scratches the surface of what the most advanced technology of our time can actually do. This disconnect has created a significant gap in how consumers utilize AI.

Enso, which operates a Vibe Automation platform for building and managing agents, has produced an advertising campaign that showcases the capabilities of advanced AI tools through its method of creation. The campaign, titled " produced in just six hours at a cost of $150, spent entirely on AI tools, without hiring actors or professional crews. Enso said a similar campaign about a year ago would have taken about a month and cost $10,000 to $20,000, requiring a full production team, actors, a professional voice actor, locations, coordinated shoot days and post-production editing.

Addressing one of the most persistent critiques of the current artificial intelligence boom, CoreWeave CEO Michael Intrator pushed back against the narrative of a "circular AI economy" in an appearance at the Fortune Brainstorm AI conference in San Francisco. While skeptics often point to the tangled web of investments between chipmakers, cloud providers, and AI startups as a financial bubble, he argued that deep industry collaboration is the only viable response to a historic supply chain crisis.

AI is no longer the future of healthcare; it's already reshaping how patients are diagnosed and treated. Some of the most interesting developments involve systems that sense and respond to human emotion. Cedars-Sinai's Connect platform, for example, adapts care based on patient sentiment; CompanionMx interprets vocal and facial cues to detect anxiety; and Feel Therapeutics uses emotion-sensing wearables to tailor interventions in real time.

AI assistants like ChatGPT, Claude and Perplexity-powered by large language models (LLMs)-are emerging as parallel gatekeepers. They're quietly reshaping which brands get recommended long before a buyer ever reaches a search results page. In my previous article, I discussed how Google's AI Overviews are intercepting traffic (even for top-ranking sites). But there's another shift that many businesses haven't recognized: Search engines are no longer the only place where your customers' questions get answered.

Undoubtedly, there's still a lot of nerves out there over the latest wave of volatility, which may very well be the start of a painful, drawn-out move lower. As to whether we're in an AI bubble, though, remains a mystery. It'll probably be the big question going into the new year. With a recent wave of relief powering hard-hit AI stocks higher in the last few sessions, it seems like AI fears might be in an even bigger bubble than the AI stocks themselves.

They suffer from anxiety about aggressive drivers, get bewildered by exotic pets, and even experience a form of culture shock when moving from the West Coast to the East Coast. According to a recent presentation by an autonomous delivery executive, the artificial intelligence powering today's sidewalk robots is navigating a set of struggles that feels startlingly human. While the public often imagines autonomous robots as cold, calculating machines, the reality of deploying them in public spaces reveals a technology deeply concerned with social acceptance and survival. MJ Burk Chun, the co-founder and vice president of product design for Serve Robotics, addressed the Fortune Brainstorm AI conference with the argument that robots are just like us.

The first step in Uber's adoption of OpenSearch was to evaluate it against their existing Lucene-based setup using th HNSW (Hierarchical Navigable Small World) algorithm: We found ourselves limited by the lack of algorithm options, which hindered our ability to fine-tune trade-offs for different scenarios.

Adventure games like Zork and its many imitators invited players to explore a virtual world, often a Tolkien-esque cave, that existed only as words. "You enter a dark room. A Goblin pulls a rusty knife from its belt and prepares to attack!" was a typical moment in such games. Players, usually armed with imagined medieval weapons, might respond "Hit Goblin" in the expectation that phrase would see them draw a sword to smite the monster.

I realized just how useful Mercedes-Benz's new in-car AI assistant can be when I was driving a different car. After testing the impressive new 2026 Mercedes CLA-Class in San Francisco, I flew back to New York, but then faced several hours of driving through a winter rainstorm. That's when I realized I hadn't changed my windshield wipers in foreverone of those little errands I always mean to do but always forget about until it's too lateand that meant having less visibility than I wanted.

In 2025, AI became officially unavoidable: It had been lurking in the background before, as early adapters experimented with it. But this year, companies invested more than $202 billion in AI, a 75% increase from $114 billion invested in 2024. Major tech companies fought bitterly over AI talent, offering astronomical pay packages. There was a groundswell of demand for talent, and unsurprisingly this spread to the demand for AI,

For Kiara Nirghin, the 24-year-old co-founder and chief technology officer of the applied AI lab Chima, the narrative that her generation uses artificial intelligence as a cheat code is not just wrong-it ignores a fundamental shift in human cognition. The Stanford computer science alum and Peter Thiel fellow argued that while older generations view AI as a tool to be adopted, Gen Z views it as a native language.

In November, a team of researchers at the US PIRG Education Fund published a report after testing three different toys powered by AI models: Miko 3, Curio's Grok, and FoloToy's Kumma. All of them gave responses that should worry a parent, such as discussing the glory of dying in battle, broaching sensitive topics like religion, and explaining where to find matches and plastic bags.

For instance, when a user watches a romantic comedy on Netflix, the system identifies similar titles liked by others with comparable viewing habits. On Spotify, listening to a few indie tracks might prompt the algorithm to suggest playlists featuring similar artists. These systems continuously learn from user activity, refining their precision over time.

The first is The Thinking Game (free on YouTube) - a five-year portrait of Demis Hassabis, co-founder of DeepMind. On one level, it's a fascinating account of how a small group of researchers pushed the limits of artificial intelligence and produced genuine breakthroughs. Beneath the surface, the film is really about long-term thinking. AI can feel like it appeared out of nowhere sometime around 2022. This documentary shows how misleading that impression is.

Jain said he had tried to automate internal workflows at Glean, including an effort to use AI to automatically identify employees' top priorities for the week and document them for leadership. "It has all the context inside the company to make it happen," said Jain, adding that he thought AI would "magically" do the work. The idea seemed simple, but it hasn't worked.

In the year ahead, your relationship with your software vendors may change radically, perhaps even a greater shift than the switch from disks to Software as a Service. You may start paying only for the actual results the software delivers, versus simply paying a monthly charge that you pay even if the application sits on a shelf.Also: 6 essential rules for unleashing AI on your software development process - and the No. 1 risk

Keenan wrote that Salesforce users have been building their own MCP servers using OpenAI's Apps SDK and exposing Salesforce data to various frontier LLMs in the bargain. That puts the company's data outside the governance and usage metering of Salesforce. "The thing that I worry about, and what I wanted to get ahead of, was homegrown MCP servers from customers just spitting out data to OpenAI around the trust boundary," Billmaier told Keenan. "And with this, we're actually kind of being full of our destiny as we think about other players emerging in this space."

In this episode, our managing editor Allison Schiff interviews Paul Longo, Microsoft's GM of AI in ads. They discuss the ways AI will transform advertising, from the use of AI technology to create advertising, which Microsoft is doing, to how advertising will become part of agentic AI experiences. (As a writer myself, I also enjoyed hearing him talk about experimenting with AI in some of his work as a screenwriter.)

The AI X Leadership Summit is an exclusive forum embedded within ODSC AI East 2026 that brings together leaders from across industries to explore how AI and data science are reshaping business strategy, operations, and future growth. Through high-impact keynotes, panel discussions, and leadership-focused sessions, this summit focuses on the non-technical, strategic side of AI adoption - from defining enterprise AI strategy to building governance, scaling AI initiatives, and navigating risk.

As AI systems grow more capable, the bar for human training has risen sharply, and generalist data labelers are being pushed aside. That's according to HireArt's 2025 AI Trainer Compensation Report, which collected information from more than 150 sources, including a survey of active workers, public job postings, and internal data. The study shows that today's AI models demand nuanced reasoning, domain expertise, and multilingual fluency, transforming "data labeling" into specialized cognitive work.

The country is renowned for its highly developed, strongly regulated, and thriving gambling environment, which has been fueled by dynamic tech niches that have blended digital entertainment, online casinos, and sports betting into a high-growth industry. Regulation and consumer demand have also played a role in this growth, with more non GamStop casinos emerging to target UK players and meet this demand.

When the company reported Q3 earnings on Oct. 30, it beat on the top and bottom lines, with EPS of $1.95 vs. an estimated $15.7, and revenue of $180.17 vs. $177.80 estimated. Meanwhile, revenue from Amazon Web Services was $33 billion and revenue from advertising was $17.7 billion. Concerns about the company's enormous AI CapEx remain, but after the Q3 earnings call, the stock was rewarded by bullish investor sentiment, hitting its first record high since February 2025.

AI search builds on the same signals that support traditional SEO, but adds additional layers, especially in satisfying intent. Many LLMs rely on data grounded in the Bing index or other search indexes, and they evaluate not only how content is indexed but how clearly each page satisfies the intent behind a query. When several pages repeat the same information, those intent signals become harder for AI systems to interpret, reducing the likelihood that the correct version will be selected or summarized.