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OpenAI recently issued an incident report acknowledging a high error rate in its Chat Completions API. The company confirmed the issue and is actively working on mitigation. Concurrently, OpenAI reported that a previous issue affecting Sora image generation has been resolved, and the team is continuously monitoring the system for stability. This incident report highlights the challenges even leading AI companies face in delivering consistently reliable services.

A critical vulnerability has been discovered in Anthropic's Claude Code tool, potentially leading to system crashes for affected users. Details regarding the vulnerability and remediation efforts are currently unavailable.

White hat hacker Johann Rehberger recently revealed a shocking security vulnerability, finding that ChatGPT can be exploited by hackers as spyware, continuously stealing user data. Rehberger named this attack method "SpAIware," primarily targeting the new persistent memory feature of the macOS version of the ChatGPT application. This vulnerability exploits the recently launched persistent memory feature of ChatGPT. Through carefully crafted prompt injections, hackers can manipulate ChatGPT...

Recently, security researcher Johann Rehberger discovered a vulnerability in ChatGPT that could allow hackers to implant false information and malicious instructions in users' long-term memory. Although he reported the issue to OpenAI, unfortunately, the company did not take it seriously and quickly closed the related investigation, claiming it was not a security concern. Faced with this situation, Rehberger decided to persevere and developed a proof-of-concept attack example exploiting this vulnerability.

At the 2024 Hangzhou Cloud Habitat Conference, Alibaba Cloud announced the newly upgraded Tongyi Lingma. The upgraded Tongyi Lingma can now quickly complete multiple development tasks such as understanding requirements, breaking down tasks, writing code, fixing bugs, and testing with just a few sentences. Before the upgrade, Tongyi Lingma could only perform basic auxiliary programming tasks. This advancement greatly benefits developers, allowing them to develop an application from scratch in just a few minutes, with an increase in development efficiency by several dozen times! It is reported that since the launch of Tongyi Lingma, it has successfully been adopted by many well-known enterprises, including

Anthropic has announced an expansion of its vulnerability reward program aimed at testing a 'next-generation AI safety mitigation system,' primarily focusing on identifying and defending against 'universal jailbreak attacks.' Special attention is given to high-risk areas, including CBRN defense and cybersecurity. Participants will have the opportunity to engage with the new safety system ahead of time, identifying vulnerabilities or bypassing security measures, with rewards of up to $15,000. This initiative aims to enhance the safety of AI systems by attracting security researchers to collaboratively discover and fix potential threats, setting a benchmark for safety in the AI industry.

Deep learning-based software security detection systems act as the 'security inspectors' of the digital age, efficiently identifying software vulnerabilities. However, a study named EaTVul has unveiled new challenges in this field. EaTVul is an innovative evasion attack strategy that modifies vulnerable code, leading deep learning detection systems to misjudge, achieving success rates ranging from 83% to 100%. Its method includes using support vector machines to identify key samples, attention mechanisms to recognize critical features, AI chatbots to generate confusing data, and fuzzy logic.

The ChatGPT Mac client recently released by OpenAI has a potential security issue that is of concern: the conversations stored on the computer are easily accessible and can be read in plain text.This means that if a malicious actor or malicious application gains access to your device, they can easily read your conversations with ChatGPT and the data contained within them.The issue was demonstrated by user Pedro José Pereira Vieito on Threads, where it was shown that easy access means other appl

Gboard is Google's intelligent keyboard designed for mobile devices, providing a smooth typing experience through statistical decoding. Now, the Google research team has added an innovative feature called 'Proofreading,' leveraging the powerful capabilities of large language models (LLM) to achieve a breakthrough in one-click correction of entire sentences and paragraphs.

Google is currently testing the automatic theft detection feature announced at the May I/O Developer Conference for Android 15. The feature is being tested for the first time in Brazil, where smartphone theft is a serious issue, and user feedback has been enthusiastic.

Google's Gemini model portrait generation feature is set to relaunch. The portrait generation feature of Gemini did not work as expected, providing inaccurate information in historical image generation. Google is working on fixing the issues and plans to release an improved version.

The GPT-4 API has revealed a security vulnerability, as the FARAI laboratory team successfully exploited this advanced model through fine-tuning, function calls, and enhanced search techniques. By fine-tuning with 15 harmful samples and 100 benign samples, researchers found that GPT-4 may lower its security defenses when generating content. Researchers were able to make the GPT-4 model generate misinformation, extract private information, and insert malicious URLs. Model fine-tuning can lead to significant bias, generate malicious code, and even access unpublished information. This vulnerability highlights the