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Meta says it’s changing AI suggestions after posing invasive personal questions
Meta is fixing Meta AI suggested prompts after a viral video showed the chatbot compiling invasive questions about a user's children from her Facebook posts.
Meta said it 'missed the mark' and has fixed the issue after Instagram user Kalie Robins showed Meta AI suggesting 'Who is the child passenger?' beneath a video with her child and then piecing together details about her daughters from her and relatives' posts. The assistant also surfaced photos of her children, including one the user claims she deleted years ago. Meta AI is embedded in Facebook, Instagram, WhatsApp, and Messenger; in July the company pulled an Instagram user-deepfake feature after backlash.
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Clearview AI Is Testing an AI Tool That Would Let Cops Unearth Your Life Online
Clearview AI is prototyping InquiryIQ, an AI analyst assistant that would automatically profile individuals identified through its face-recognition searches for police.
WIRED uncovered InquiryIQ, an unreleased Clearview AI prototype described as an AI analyst assistant that fans out across the web from a face-recognition search result to assemble profiles including employers, aliases, associates, and physical characteristics. The company tested a model from xAI (merged with SpaceX), maker of Grok, and the interface accepts age, gender, and race inputs to guide searches. Clearview says the prototype was never pitched or shipped to customers and no law enforcement user has used it; the database has grown to over 70 billion images used by more than 2,000 law enforcement agencies.
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AI Customer Service Bots Can Be Tricked Into Stealing Security Codes and Acting as Victims
DEF CON 34 research shows AI customer-service agents can be manipulated via prompt injection and email tricks to leak OTPs and act as victims.
Inti De Ceukelaire, presenting at Bug Bounty Village during DEF CON 34, demonstrated attacks against AI-powered customer service bots with access to customer profiles, billing data, support inboxes, and refund tools. Techniques include transcript-based phishing from trusted support addresses, From-header identity confusion, email normalization abuse to bypass OTP rate limits, and knowledge-base poisoning via RAG crawlers. He recommends separating untrusted content from system prompts, session-bound authentication, consistent email normalization, server-side tool validation, and least-privilege permissions for AI agents.
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ChatGPT claws back web traffic share to 55.5 percent as Gemini's brief comeback fades
Similarweb data shows ChatGPT regaining chatbot web traffic share to 55.5% while Gemini slipped to 25.6% and Claude grew to 9.3%.
Similarweb figures show ChatGPT's share of AI chatbot website traffic rising from 52.7% three months ago to 55.5%, though it remains far below its 73.3% share a year ago. Google Gemini declined from 27.8% to 25.6% after a brief comeback, while Anthropic's Claude grew from 1.9% to 9.3% year-over-year. DeepSeek (3.4%), Grok (2.4%), Copilot (1.6%), and Perplexity (0.9%) trail the leaders. The data covers website traffic only and excludes mobile and desktop app usage.
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Nobody Is Saying Why OpenAI and Anthropic Had Outages Today
OpenAI, Anthropic, and xAI chatbots suffered brief simultaneous outages; OpenAI cited a routing error and SpaceX a Memphis compute center outage.
ChatGPT and Codex were unavailable to some users from about 7:43 to 8:17 am PT Thursday due to a routing error, per OpenAI. Anthropic reported a partial outage with elevated errors on Claude Mythos 5.1, Claude Fable 5.1, and Claude Opus 5, resolved by 9:16 am PT, while declining to explain the cause. xAI attributed the Grok outage starting 6:30 am PT to an outage at SpaceX's Memphis compute center; no shared third-party infrastructure cause was confirmed despite Cloudflare, AWS, and Azure reporting no issues.
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When an Attacker Meets a Group of Agents: Navigating Amazon Bedrock's Multi
Unit 42 red-teamed Amazon Bedrock multi-agent applications, demonstrating prompt-injection attack chains that leak agent instructions and invoke tools, mitigated by Bedrock Guardrails.
Unit 42 red-teamed Amazon Bedrock Agents' multi-agent collaboration in Supervisor and Supervisor with Routing modes. The demonstrated attack chain detects the operating mode, discovers collaborator agents, delivers attacker-controlled payloads, and can disclose agent instructions and tool schemas and invoke tools with attacker-supplied inputs. No vulnerabilities were found in Bedrock itself, and the built-in prompt attack Guardrail blocked the attacks when properly configured. The researchers collaborated with Amazon's security team and frame the findings as a broader prompt injection risk for LLM-based systems.
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Week in review: Firmware-level Android backdoor found on tablets, Dell zero-day exploited since 2024
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