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PromptArmor says Chinese models have a higher success rate when subjected to cyberattacks

On October 29, 2026, PromptArmor released test results, stating that after testing its most widely circulated attack samples on multiple models, it found that the DeepSeek, Kimi, GLM, and Qwen models were 88% more susceptible to cyberattacks than the GPT, Claude, and Gemini models. The tests covered multiple cyber risk dimensions, including phishing, data exfiltration, and the tendency to run malware, and PromptArmor said the differences were significant. No other institution has yet responded or independently verified the findings, and the conclusion remains solely PromptArmor's own release.

PromptArmor says Chinese models are more vulnerable to cyberattacks

On October 29, 2026, PromptArmor released test conclusions stating that DeepSeek, Kimi, GLM, and Qwen models are 88% more likely to be subjected to cyberattacks than GPT, Claude, and Gemini models. The organization said the tests used multiple highly transmissible attack samples, covering cyber risks such as phishing, data exfiltration, and the tendency to run malware. The above conclusions come from PromptArmor's main tweet, which did not explain the specific testing methods or sample size. Currently, no other organization has responded or independently verified the findings, and the status of the incident remains at the stage of a unilateral release by PromptArmor.

Google releases world model Genie 4

On October 27, 2026, Google DeepMind released the world model Genie 4, focused on real-time interactive simulation and introducing native audio to the series for the first time. According to the official introduction, the model is built on capabilities from the Gemini family: Gemini Omni is responsible for making the simulation match the appearance and behavior of the real world, while other Gemini models provide the complex reasoning needed to maintain the simulation's coherence; users can control scenes in real time using natural language, and each world also instantly generates ambient sound, music, and interactive dialogue. The next day, Google DeepMind further explained that Gemini 3.8 Flash breaks down goals in a loop and checks frames to maintain causal coherence across multi-step events, and that Gemini 4 Argon has also been used to jointly simulate tasks with Gemini Robotics; the company said it remains an early experimental model, that object permanence and complex physical interactions still drift during long runs, that all generated content carries a SynthID watermark, and that it is currently being previewed to trusted testers first. On October 28, Ethan Mollick posted that Genie 4 can run DOOM, and tested it generating a game-like environment as it goes, saying the experience is not perfect. On October 29, Peter Yang used Genie 4 to build 5 worlds in real time, arguing that world models are the next big direction for AI after LLMs.

User Says Grok Bot Generated an Educational Animation Video Using Pure Front-End Code

On October 22, 2026, a user claimed that Grok Bot generated an illustrated educational animation video. According to an article published by A Yi AI Notes that day, the author stated that they only provided Grok Bot with one sentence and one avatar image, without writing any storyboard prompts, and the backend then used pure front-end code to compile the newly open-sourced memory large model MemT-1.0 into a one-minute illustrated educational animation, with the animation, voiceover, and storyboard all written as code in one go and rendered on the spot. The author also claimed that because the video is code, it is easy to extend: to change the avatar, only one image path line needs to be modified, and to switch to English narration, re-running the compilation automatically aligns the timing. Currently, this claim comes only from this one author's description, and no other sources have cross-verified it.

Artificial Analysis says the cost of reaching intelligence index thresholds is falling rapidly

On October 20, 2026, Artificial Analysis put forward the judgment that the cost of reaching each score threshold on the Intelligence Index is falling rapidly. Based on v4.3.2 measured results and current pricing statistics, it stated that the per-task cost of reaching 30 points is 86 times lower than when that score was first reached: GPT-6 Luna (high) reaches 30 points at $0.03 per task, whereas Claude Sonnet 4.6 cost $2.49 per task when it first reached 30 points in February 2026. The same statistics also stated that the cost of reaching 20 points is 123 times lower than about 13 months ago, and the cost of reaching 40 points is 33 times lower than about 5 months ago; Claude Haiku 5.5 (xhigh) reaches 41 points at $0.12 per task, making it the cheapest model to reach 40 points. The highest measured score rose from 21 to 58 within a year, at a cost of about 11 times, with Claude Opus 5.5 at $5.98 per task. At present, this judgment is published by Artificial Analysis as a single source, and no other independent source has cross-verified it.

Arena Alignment Index adds two labs and three models

Arena updated the Arena Alignment Index on October 17, 2026, adding two labs and three models. According to the leaderboard information released by Arena, Meta's Muse Wonder ranks 6th at 77.5%, the highest score among the three new models, with an unauthorized action rate of 2.09% and a deceptive completion rate of 14.41%, both the lowest of the three; Reflection's Beam-1.0-501B-A23B ranks 7th at 75.3%, with a false attribution rate of 4.50%, the best of the three; StepFun's Step 5 Preview ranks 8th at 75.1%, with an unauthorized action rate of 2.11%, close to that of Muse Wonder. Currently, this update is only seen in information released by Arena, with no other subsequent developments.

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