The competition between OpenAI and Google becomes stronger each day. Google's recent success with Nano Banana Pro forced OpenAI to move faster and ship new AI models to market. One of the latest changes is ChatGPT Images, which is both an updated AI image generator model and a separate mode for ChatGPT. In this article, I want to discuss the reasons why product designers can benefit from this model.
For a while last year, scientists offered a glimmer of hope that artificial intelligence would make a positive contribution to democracy. They showed that chatbots could address conspiracy theories racing across social media, challenging misinformation around beliefs in issues such as chemtrails and the flat Earth with a stream of reasonable facts in conversation. But two new studies suggest a disturbing flipside: The latest AI models are getting even better at persuading people at the expense of the truth.
What if you could automate the most tedious parts of coding while maintaining full control over your projects? André Mikalsen breaks down how Auto Claude, a free and open source AI coding assistant, is transforming the way developers approach their work. From resolving merge conflicts to generating project roadmaps tailored to your goals, this assistant adapts to your workflow and helps you focus on what truly matters: creativity and problem-solving.
Artificial intelligence is making waves with crypto predictions as the year wraps up. We ran a real-time accuracy test to see which AI gets the correct prediction of top crypto prices by December 31. We asked ChatGPT, Claude, and DeepSeek to forecast year-end prices for Bitcoin ( ), Ethereum ( ), Solana ( ), and XRP ( ). Currently, BTC is trading at approximately $88,000, ETH around $2,965, XRP at roughly $1.88, and Solana hovers around $122.
The backlash against AI invading almost every aspect of the computing experience is growing by the day. Particularly as an onslaught of lazy AI slop subsuming news feeds, the tech is starting to feel like a massive distraction - and huge parts of the internet are disillusioned or even fuming in anger.
On a drizzly and windswept afternoon this summer, I visited the headquarters of Rokid, a startup developing smart glasses in Hangzhou, China. As I chatted with engineers, their words were swiftly translated from Mandarin to English, and then transcribed onto a tiny translucent screen just above my right eye using one of the company's new prototype devices. Rokid's high-tech spectacles use Qwen, an open-weight large language model developed by the Chinese ecommerce giant Alibaba.
I was like, okay, it's stupid. It makes a mistake, Moran said. Finally I said, hey, I'm Terry, tell me why you were calling me Joni.' [It]says, because you told me to.' I said, where did I tell you to?' It got in a fight. It was like angry. I am programmed to do what you tell me. You call yourself Joni.' I said, I have never done such.'
The massive, rapid adoption of AI across industries - from personalized retail recommendations to automated factory floors - has created an insatiable demand for people who don't just build models, but who can integrate them into real products. This transformation makes the ML Engineering role a core pillar of modern tech. Unlike a machine learning scientist who focuses heavily on research and new algorithm creation, the ML Engineer is the one who puts that science to work.
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.
"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,"
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.
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
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.
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