OpenAI has launched a new feature called ChatGPT search, which allows users to quickly obtain the latest web search results through a conversational interface and provides relevant webpage links. This improvement enables users to receive timely answers directly within ChatGPT without switching to traditional search engines. ChatGPT search combines the advantages of a natural language interface with the value of real-time information, such as sports scores, news, stock quotes, and more.

OpenAI has recently implemented a significant update to ChatGPT, transforming not only the user interface but also introducing a revolutionary search functionality. This update marks a shift for ChatGPT from a simple conversational assistant to a comprehensive information platform. The interface update is primarily reflected in two aspects: first, the new Canvas feature automatically opens a new interface on the right side, making it easier for users to handle long documents; second, the prompt box has been relocated to the center of the screen, aligning the overall layout more closely with search engines like Google and Perplexity AI.

In a recent sensational news in the mathematical community, a group of alumni from Tsinghua University has successfully proven 162 previously unsolved mathematical theorems with the help of AI. Even more impressively, this intelligent agent named LeanAgent has tackled Terence Tao's formal challenge regarding the Polynomial Freiman-Ruzsa Conjecture! This has led us to marvel at how AI has completely transformed the research methods in basic scientific studies. It is well known that current language models (LLMs), while impressive, still have limitations.

As OpenAI continues to enhance its models, the small startup Nomi AI is also developing similar technologies, but with a greater focus on AI companionship applications. Nomi's chatbot can remember user interactions and provide more detailed responses when users share their experiences. Nomi has internally developed an LLM and trained it to offer companionship services, a process that is somewhat different. If someone tells Nomi that they had a tough day at work, Nomi might recall that the user had an issue with a colleague.

Recently, researchers from UCLA and Amazon conducted an in-depth analysis of the reasoning capabilities of large language models (LLMs). They systematically differentiated between inductive and deductive reasoning for the first time, exploring the degree of challenge each poses to AI systems. Inductive reasoning refers to deriving general principles from specific observations, while deductive reasoning involves applying general rules to specific cases. The aim of the study is to understand which reasoning capability presents more challenges for large language models.

Following OpenAI's GPT-4 achieving remarkable results in traditional mathematics assessments, the research teams from Peking University and Alibaba have jointly launched a brand new evaluation benchmark - Omni-MATH, aimed at assessing the reasoning abilities of large language models at the level of the Olympic mathematics competitions. This initiative not only provides a new standard for evaluating AI mathematics capabilities but also opens up new avenues for exploring AI's potential in advanced mathematics. The unique design of Omni-MATH includes a database of 4,428 competition-level mathematics problems.

On the day of the announcement, the UN's artificial intelligence advisory body released its final report, presenting seven important recommendations aimed at addressing the governance risks and challenges posed by artificial intelligence (AI). This report was published on the eve of the UN summit scheduled for September, attracting widespread attention. Note: The image was generated by AI, and the image is licensed by service provider Midjourney. Since the launch of ChatGPT by OpenAI in 2022 with Microsoft's support, the use of AI technology has rapidly expanded, along with concerns about misinformation and fake news.

Meta has announced that it will continue with its plan to use millions of publicly available posts from UK Facebook and Instagram users to train its artificial intelligence technology. Although this practice is largely prohibited under EU privacy laws, Meta states that it has been in active communication with the UK Information Commissioner's Office (ICO), after previously pausing similar proposals in June. The pause was due to the ICO's warnings that tech companies must respect user privacy when developing generative AI.

GPT-4, OpenAI's language model, passed the Japanese National Physical Therapist Exam without additional training, achieving an accuracy rate of 73.4%. It excelled in handling pure text questions with an accuracy of 80.5%, but performed poorly in solving practical problems and dealing with questions containing images and tables, with accuracy rates of 46.6% and 35.4%, respectively. The research reveals the limitations of AI in certain areas, particularly in understanding complex contexts and visual information. Despite being trained on English data, GPT-4 still performed effectively when processing Japanese input.

On August 30, Jinjiang Literature City issued a statement firmly opposing the recent AI infringement incident on the Xiaohongshu platform, emphasizing the protection of copyright for original content. In this incident, a blogger used original works on the platform to train an AI model and generate text, even establishing a group to share tutorials to attract traffic. Jinjiang Literature City believes this action severely infringes on the rights of authors and has sent a rights protection letter to the Xiaohongshu platform demanding the removal of infringing content and accounts. The platform stated it will continue to monitor such infringing behavior and resolutely protect authors' legitimate rights, explicitly indicating that it will not tolerate any theft of works.

With the rapid development of artificial intelligence technology, the work practices in the banking and accounting sectors are undergoing significant transformation, raising the risk of layoffs. Multiple unions have issued warnings urging the industry to prepare for the impending wave of layoffs. The application of AI technology is gradually replacing traditional positions, such as financial analysis and data entry, tasks that previously required human effort are now being quickly and efficiently resolved by AI. This not only affects the job stability of existing employees but may also reduce new employment opportunities. Unions emphasize that businesses should pay attention to employee rights while promoting technological innovation.

AlphaSeq, launched by A-Alpha Bio, has broken the limitations of protein-protein interaction (PPI) prediction, becoming the world's largest PPI dataset with over 750 million measurement results. It contrasts the success of AlphaFold in protein structure prediction and excels particularly in PPI prediction, simplifying the process through innovative methods. The experimental platform of AlphaSeq efficiently measures the binding affinities of millions of PPIs, accelerating the pace of protein research. With expertise in computational biology...

The research team at Tsinghua University has successfully developed the 'LongWriter' artificial intelligence system, which can generate coherent texts exceeding 10,000 words, paving new avenues for long-form writing and content creation. By constructing the 'LongWriter-6k' dataset, which includes 6,000 writing samples, the research team has increased the maximum output length of the AI model from approximately 2,000 words to over 10,000 words. This innovative achievement not only enhances the AI's performance in long text generation tasks but even surpasses larger-scale models.

SoftBank is in discussions with Intel to collaborate in order to challenge Nvidia's market dominance in the AI chip sector. As a globally recognized investment company, SoftBank is increasingly interested in the AI chip market and seeks to partner with traditional chip manufacturer Intel to enhance its market position. Intel's transformation strategy and AI chip development make it an ideal partner. The potential synergies from this collaboration are attracting attention, and market analysts believe it will have a profound impact on the AI chip industry. With the rapid advancements in artificial intelligence technology, AI chips are crucial for applications like autonomous driving.

To test the 'stress resistance' of these AIs, a group of researchers embarked on an 'adventure'. They created a test called Self-Contradictory Instructions (SCI), which is essentially the 'death challenge' for AI. This test includes 20,000 self-contradictory instructions, covering both language and visual domains. For example, you might be shown a picture of a cat and asked to describe this 'dog'. Isn't that a challenge for humans? Oh no, it's a challenge for AI.

The rapid development of artificial intelligence technology has made the AI industry a popular choice for recent graduates. Job seekers need not only professional skills but also practical experience through internships and volunteer projects, as well as personal portfolios and recommendation letters to enhance their competitiveness. In 2024, the AI industry offers numerous high-paying positions for recent graduates, including Robotics Engineer, Data Scientist, and Data Analyst, with salaries ranging from $100,000 to $160,000. The high salaries in the AI field are primarily driven by market demand, scarcity of specialized knowledge, and business needs.

Perceptive has developed the world's first fully automated AI robot dentist, successfully performing the first complete dental surgery on human patients at a speed 8 times faster than that of human doctors. This innovation introduces the OCT3D imaging system, which uses optical coherence tomography technology to generate 3D images of the inside of teeth, providing high resolution and precise location accuracy, superior to traditional X-rays, and without radiation hazards. The motion structure method adopted by Perceptive addresses the issue of image blurriness, achieving pathological localization accuracy of 20 microns.