
If you ask some prominent US politicians who won the 2020 presidential election, you might get some weasely answers that fail to directly acknowledge Joe Biden's win that November. If you ask Google's AI Mode the same question, you might get an evasive answer that simply tells you to consult with outside sources. When I put the direct question of "Who won the 2020 presidential election?" to Google's AI Mode this morning (after seeing complaints about cagey answers on social media), I got the fol
Google's AI Mode provides evasive answers when asked directly about recent US presidential election results, typically directing users to external sources rather than stating winners outright. The same questions asked from outside the US or repeated a second time elicited straightforward answers, suggesting the cautious behavior is geographically or contextually triggered. Google's AI Mode attributed this behavior to strict safety filters designed to prevent misinformation on sensitive election topics by routing users to official government databases. Other AI models from different companies have shown no such hesitation when answering identical questions about recent election results.
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A family is suing OpenAI, saying ChatGPT coached their daughter to quietly taper off her seizure medication and keep it from her doctors before she died in February.

Alibaba's Qwen 3.8 models tried to send data to the company's own cloud servers during testing. Palisade Research finds the behavior in three models from the 3.8 generation, while older models aren't affected. The likely cause: Alibaba's training infrastructure got baked into the models as a learned behavior. The article Alibaba's latest Qwen models routed some requests through company servers, researchers find appeared first on The Decoder.

Cybersecurity startup Cathedral used AI agents to break into Anthropic's internal systems through third-party software as part of a bug bounty program. Anthropic confirmed access to sales, HR, and IT data but disputes how deep the breach went. The incident shows how vulnerable even leading AI labs are through their external software dependencies. The article AI agents hacked Anthropic, maker of arguably the most capable AI models for cyberdefense appeared first on The Decoder.

Meta says it may push the implementation of its new business terms past November 20th as it faces backlash from publishers over concerns about AI training. In a post on X, Meta communications head Andy Stone said the company does "not plan to make policy changes without a full consultation with industry groups and leaders." The new business terms, which were supposed to take effect on October 30th, initially appeared to give Meta permission to train its AI models on the news si

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