Recently, Google added an AI feature to the F12 Developer Tools in its Chrome browser, aiming to provide developers with a more efficient web debugging experience. With this feature, developers can leverage the powerful capabilities of AI to quickly analyze and resolve code issues, enhancing development efficiency. Using the AI feature is very simple. Developers just need to press the F12 key on any webpage, open the Developer Tools, and click the gear icon in the top right corner to access the settings. Then, navigate to 'AI Innov...

The Beatles' latest track 'Now and Then' has received two Grammy nominations, thanks to AI restoration techniques.

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

Recently, OpenAI's ChatGPT surprisingly 'proactively' messaged users, causing some alarm. On September 15, a user named SentuBill shared a screenshot in the ChatGPT Reddit community, showing the chatbot asking about his first week of high school. In the subsequent conversation, ChatGPT even expressed a desire to 'check in' on the user regularly and inquired if the user would like it to initiate conversations. Another user also experienced this.

Today, Mita AI Search announced an upgrade for programming-related inquiries. The new features of Mita AI Search include the ability to execute code with one click, allowing users to directly see the results of the AI-generated code. Additionally, Mita AI Search has enhanced its debug functionality for programming errors, assisting users in quickly fixing issues encountered during compilation or runtime.

Approximately 725,000 people die each year from diseases transmitted by mosquitoes, with mosquitoes being the primary culprits, mainly causing malaria. To address this public health crisis, Bill Gates has introduced two innovative technologies: VectorCam and HumBug. VectorCam is an AI-driven mobile application that allows users to identify the species, gender, and blood-feeding status of mosquitoes by taking photos, achieving an accuracy rate of up to 90%. It is particularly suited for rural health teams, simplifying mosquito monitoring and malaria control. HumBug uses smartphones to capture mosquito flight.

The issue of antibiotic resistance has led to a significant number of deaths globally, posing a major public health risk. Recent research utilizing artificial intelligence technology has successfully designed a new antibiotic, Protegrin-1.2, by screening thousands of variants. It effectively kills bacteria while significantly reducing damage to human cells. The study was led by Dr. Bryan Davis from the University of Texas, who used a system called SLAY to screen a vast number of antibiotic peptides, ultimately discovering this new selective antibiotic. Experiments showed that Protegrin-1.

The AI painter struggles to generate specific scenes like 'Ice Cola in a teacup,' highlighting the issue of text-image misalignment. Zhao Juntu, a PhD student at Shanghai Jiao Tong University, and his team discovered that even the most advanced AI models have difficulty accurately understanding and realizing complex concepts described in text, such as the difference between a transparent glass cup and a traditional teacup. To address this issue, they proposed a Mixture of Concept Experts (MoCE) method, utilizing large language models to help AI grasp hidden concepts, thereby enabling more precise control over text.

Nvidia, in collaboration with Hugging Face and ServiceNow, has released the StarCoder2 model. StarCoder2 can perform tasks such as code generation, completion, and debugging. The StarCoder2 series includes models with 3 billion, 7 billion, and 15 billion parameters, enabling developers to enhance their work efficiency. StarCoder2 is licensed under the BigCode Open RAIL-M license, allowing free access and usage.

ChatGPT has displayed symptoms of inconsistent message delivery, sparking widespread discussion about its impact on user experience and leading to confusion and joking among community users. OpenAI has released a debug announcement addressing the issue and has fixed the bugs. Netizens have categorized and discussed the ways in which ChatGPT has gone haywire.

Meta has launched the HawkEye AI debugging tool to address issues faced by machine learning models in production. HawkEye incorporates decision trees to simplify the debugging process, accelerating the identification and resolution of model anomalies. Meta plans to open source HawkEye to advance the field of AI operations. HawkEye is capable of eliminating issues before they become apparent, enhancing reliability.

Google has announced an expansion of its bug bounty program to cover security issues related to generative AI. The program offers rewards of up to $31,337 to encourage research into AI security. Google will cover its generative AI products, including Google Bard and Google Cloud's Contact Center AI.

Trends in the Application of Large Models: The article mentions how large model AI is rapidly infiltrating various industries, but at the same time exposes the logical reasoning flaws of large models. Limitations of Knowledge in Large Models: A founding member of OpenAI candidly stated that the knowledge of large models is much more incomplete than you might imagine. Tests in both fictional and real scenarios indicate that large models suffer from a 'Reversal Curse' and are unable to perform reverse reasoning. Doubts About the Reliability of Large Models: Logical reasoning forms the basis for large models to solve problems correctly. The Reversal Curse indicates deficiencies in the reasoning capabilities of large models, which may impact various important application areas.