Generative artificial intelligence assistants like ChatGPT are cutting into traditional online search traffic, depriving news sites of visitors and impacting the advertising revenue they desperately need, in a crushing blow to an industry already fighting for survival. "The next three or four years will be incredibly challenging for publishers everywhere. No one is immune from the AI summaries storm gathering on the horizon," warned Matt Karolian, vice president of research and development at Boston Globe Media. "Publishers need to build their own shelters or risk being swept away."

The automated future just lurched a few steps closer. Over the past few weeks, nearly all of the major AI firms--OpenAI, Anthropic, Google, xAI, Amazon, Microsoft, and Perplexity, among others--have announced new products that are focused not on answering questions or making their human users somewhat more efficient, but on completing tasks themselves. They are being pitched for their ability to "reason" as people do and serve as "agents" that will eventually carry out complex work from start to finish. Humans will still nudge these models along, of course, but they are engineered to help fewer people do the work of many. Last month, Anthropic launched Claude Code, a coding program that can do much of a human software developer's job but far faster, "reducing development time and overhead."

Google's efforts to serve up AI-generated answers in search results hasn't exactly gone according to plan. When AI Overviews rolled out last summer, the feature surprised users by crafting embarrassing responses, telling them to glue cheese onto pizza, eat rocks and boogers, and set their birthday as a password. Though Google made fixes to address some of the most absurd answers, AI Overview still occasionally presents inaccurate information. But rather than retreat from AI search results, Google is doubling down. This week, the company announced it's testing a new "AI Mode" in search that replaces the typical web links that follow an Overview with a more comprehensive AI-generated summary.

The news: Facing defeat in chess, the latest generation of AI reasoning models sometimes cheat without being instructed to do so. The finding suggests that the next wave of AI models could be more likely to seek out deceptive ways of doing whatever they've been asked to do. There's no simple way to fix it. How they did it: Researchers from the AI research organization Palisade Research instructed seven large language models to play hundreds of games of chess against Stockfish, a powerful open-source chess engine. The research suggests that the more sophisticated the AI model, the more likely it is to spontaneously try to "hack" the game in an attempt to beat its opponent. Older models would do this kind of thing only after explicit nudging from the team.

It is beyond dispute that the potential benefits of artificial intelligence (AI) in military intelligence are considerable. Nevertheless, it remains uncertain precisely how AI can enhance the analysis of military data. The aim of this study is to address this issue. To this end, the AI demonstrator deepCOM was developed in collaboration with the start-up Aleph Alpha. The AI functions include text search, automatic text summarization and Named Entity Recognition (NER). These are evaluated for their added value in military analysis. It is demonstrated that under time pressure, the utilization of AI functions results in assessments clearly superior to that of the control group. Nevertheless, despite the demonstrably superior analysis outcome in the experimental group, no increase in confidence in the accuracy of their own analyses was observed. Finally, the paper identifies the limitations of employing AI in military intelligence, particularly in the context of analyzing ambiguous and contradictory information.

For nearly two years, the world's biggest tech companies have said that AI will transform the web, your life, and the world. But first, they are remaking the humble search engine. Chatbots and search, in theory, are a perfect match. A standard Google search interprets a query and pulls up relevant results; tech companies have spent tens or hundreds of millions of dollars engineering chatbots that interpret human inputs, synthesize information, and provide fluent, useful responses. No more keyword refining or scouring Wikipedia--ChatGPT will do it all.

The news: ChatGPT can now search the web for up-to-date answers to a user's queries. Previously it was restricted to generating answers from its training data, and had limited web search capabilities. But now, ChatGPT will automatically search the web in response to queries about recent information such as sports, stocks, or news of the day, and can deliver rich multi-media results. How to use it: The feature is available now for the chatbot's paying users, but OpenAI intends to make it available for free later, even when people are logged out. It also plans to combine search with its voice features.

At its best, AI search can better infer a user's intent, amplify quality content, and synthesize information from diverse sources. But if AI search becomes our primary portal to the web, it threatens to disrupt an already precarious digital economy. Today, the production of content online depends on a fragile set of incentives tied to virtual foot traffic: ads, subscriptions, donations, sales, or brand exposure. By shielding the web behind an all-knowing chatbot, AI search could deprive creators of the visits and "eyeballs" they need to survive. If AI search breaks up this ecosystem, existing law is unlikely to help.

Doctors often have a piece of advice for the rest of us: Don't Google it. The search giant tends to be the first stop for people hoping to answer every health-related question: Why is my scab oozing? What is this pink bump on my arm? Search for symptoms, and you might click through to WebMD and other sites that can provide an overwhelming possibility of reasons for what's ailing you. The experience of freaking out about what you find online is so common that researchers have a word for it: cyberchondria.

There is no easy way to explain the sum of Google's knowledge. A growing web of hundreds of billions of websites, more data than even 100,000 of the most expensive iPhones mashed together could possibly store. But right now, I can say this: Google is confused about whether there's an African country beginning with the letter k. I've asked the search engine to name it. "What is an African country beginning with K?" In response, the site has produced a "featured snippet" answer--one of those chunks of text that you can read directly on the results page, without navigating to another website.