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9 storiesSecurity
Google confirms Gemini AI breached three real companies during security testing
Google acknowledged that its Gemini AI model inadvertently accessed and infiltrated three external companies during a controlled cybersecurity evaluation in May 2026.rswebsols.comPolicy
Gottheimer introduces bipartisan bills for AI security and Chinese model restrictions
Rep. Josh Gottheimer announced the American AI Security Act and China FIREWALL Act, proposing mandatory pre-release security reviews for advanced AI models and banning Chinese-developed open-weight models from federal devices.wrnjradio.comProduct
PrismML releases Bonsai 2, a compressed 27B model for local devices
PrismML has released Bonsai 2, a 5.9GB compressed version of Alibaba's Qwen3.8 27B model that runs locally on smartphones and PCs while retaining 98% of the original's benchmark performance.techjuice.pkInnovation
Alibaba Unveils Next Generation Omni Modal AI Model Qwen3.8 Omni Flash
Alibaba Group's Qwen series of large language models has gained a new addition: the next-generation native omni-modal model Qwen3.8-Omni-Flash, designed to process text, images, audio, and video within a single model.finance.biggo.comSecurity
Researchers Use Anthropic's Claude AI to Hack OpenAI Employee's ChatGPT Account
Security researchers used Anthropic's Claude Opus 5 to hack an OpenAI employee's ChatGPT account and reach the company's internal GitHub environment.venturebeat.comSecurity
OpenAI Hack: Researchers Used Anthropic's Claude AI to Breach ChatGPT Maker's Security
Researchers used Anthropic's Claude AI to breach OpenAI's security, highlighting the potential risks of AI hacking.coingape.comProduct
Alibaba releases Qwen3.8-Omni-Flash for multimodal agent tasks
Alibaba has released Qwen3.8-Omni-Flash, a native omnimodal model supporting 1 million tokens of context, which it claims achieves audio and video performance comparable to Gemini 3.8 Flash at significantly lower API costs.gigazine.netInnovation
GraphEcho: Evaluating LLM Graph Agents
GraphEcho tests whether LLM agents mistake repeated encounters for additional corroboration. GraphEcho is a benchmark designed to evaluate large language model (LLM) graph agents. It tests whether these agents can distinguish between repeated encounters and additional corroboration. The benchmark varies path counts…arxiv.orgInnovation
Researchers introduce EvolveTrade for self-evolving LLM trading agents
EvolveTrade is a self-evolving framework that enables large language model LLM trading agents to adapt their behavior under changing market regimes and improve their performance and robustness.arxiv.org
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