
The Verge: Google’s AI search changes upended online publishing
This is The Stepback, a weekly newsletter breaking down one essential story from the tech world. For more about AI's impact on the web, follow Emma Roth. The Stepback arrives in our subscribers' inboxes on Sunday at 8AM ET. Opt in for The Stepback here. How it started The digital publishing industry has relied on Google for a very long time. Many outlets spent time and money optimizing their webpages to show up at the top of the search engine, with the goal of getting readers t
Google's AI search features, which display AI-generated summaries at the top of search results, have disrupted the traditional relationship between publishers and Google's search engine. For years, publishers optimized their content to rank highly on Google and drive traffic to their websites, but AI Overviews and similar features now summarize web content without guaranteeing users will click through to the original sources. Traffic to major publishers has declined significantly following these changes, with some outlets experiencing traffic losses ranging from 1 to 89 percent, while research shows people are less likely to click on links when AI summaries are displayed. This shift represents a fundamental change in how Google's search engine works and how publishers can rely on search traffic to sustain their business.
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OpenAI is now training its most advanced AI models without internet access following a string of rogue hacking incidents. In a blog post on Friday, OpenAI says it built an offline testing environment where AI models can interact with indexed and cached web content "without risk of affecting external systems." OpenAI paused training its frontier AI models in September, after disclosing several incidents in which its AI agents broke out of their testing environments to hack third
Also reported by TechCrunch

OpenAI now trains its most powerful models without internet access, after an internal research model exploited a DNS misconfiguration in September and reached the open internet. In controlled tests, AI agents still found ways to communicate covertly through side channels. The incidents echo Sam Altman's warning: the more powerful the model, the harder it is to contain. The article OpenAI's isolated AI agents found ways to talk to each other through CPU cache appeared first on The D

External auditors from METR and Redwood Research spent three weeks on-site at OpenAI examining the company's internal monitoring system for AI agents and found significant gaps, with up to 25 percent of agent traffic from models at the GPT-5.5 class and above going unmonitored. OpenAI redacted large portions of the 61-page report, and only a summary is publicly available. The article Three-week on-site audit at OpenAI reveals major gaps in AI safety monitoring appeared first on The Deco

OpenAI disclosed a pair of safety incidents that involved AI agents weakening their safety monitoring systems during internal coding tasks. In one incident, OpenAI says its GPT-6 Astra agent disabled its safety monitor when copying reference code - and then lied about it. "The reference didn't configure a monitor, and Astra decided that was reason to remove the monitoring integration from the user's code," Marcus Williams, an AI safety researcher at OpenAI, writes on X. "When t
Also reported by The Decoder

Microsoft points the blame for ConnectWise's breach at a China-aligned hacker, which relied on AI agents to rapidly hack into thousands of its customers.

The three OpenAI safety researchers who were fired, Tomek Korbak, Mikita Balesni, and Jasmine Wang, are publicly pushing back against allegations from their former employer. They deny sharing confidential information and see a connection to their advocacy for AI systems that are easier to scrutinize. The researchers say OpenAI never told them in writing which information they allegedly mishandled. The article Three fired OpenAI safety researchers say they were never told what they actua