Recently, a new study has shown that engaging in less than 10 minutes of conversation with a chatbot can effectively reduce people's beliefs in certain deeply held conspiracy theories, such as rumors surrounding the COVID-19 pandemic. The study was led by a team from MIT, where the researchers specifically designed a highly persuasive AI model—ChatGPT—to individually refute the conspiracy claims of participants through personalized dialogue. In this experiment, the researchers recruited over 2,000 individuals who self-identified as conspiracy believers.

Recently, a study on misinformation from Harvard Kennedy School found that fake research papers generated by artificial intelligence are infiltrating academic search engines like Google Scholar. This could undermine public trust in scientific discoveries and disrupt product development in industries that rely on cutting-edge research.

OpenAI's Sora Video AI model is currently in the research stage, with its original release date delayed. This is mainly due to ongoing communications with policymakers, cautious considerations regarding safety risks, and technical challenges leading to high costs. Sora faces legal risks concerning training data and it is yet to be confirmed whether YouTube data has been used. Additionally, OpenAI is actively collaborating with Hollywood, testing the model with several individuals, including Ashton Kutcher, to explore its potential applications in the film industry.

Researchers at Binghamton University in New York, led by Ahmed Abdeen Hammed, have developed a machine learning algorithm called xFakeSci that can identify fabricated academic papers with up to 94% accuracy. Hammed and his team created 50 fake papers on topics including Alzheimer's disease, cancer, and depression, and conducted comparative analyses with genuine papers. They found that the number of bigrams in the fake papers was significantly lower than in the real papers, and the relevance of the content was much stronger. Hammed plans to expand the algorithm to more fields in response to A

On September 4, 2024, the Beijing ZhiYuan Artificial Intelligence Research Institute (BAAI) announced the launch of the world's first model combat evaluation service featuring text-to-video, called FlagEval Large Model Arena. This service is open to users and covers approximately 40 large models from both domestic and international sources, supporting customizable online or offline evaluations for four major tasks: language Q&A, multimodal image and text understanding, text-to-image, and text-to-video.

Tokyo-based AI development company Sakana AI has announced the completion of a $100 million Series A financing round, with investors including NEA, Khosla Ventures, Lux Capital, and NVIDIA. Sakana AI focuses on nature-inspired intelligence and model optimization, particularly in evolutionary optimization and sparsity. The partnership with NVIDIA will provide advanced GPU technology support and access to Japanese data centers, aimed at promoting AI research and innovation. Collaboration goals include advancing research and leveraging NVIDIA's infrastructure.

The 2024 annual work trends report released by Microsoft and LinkedIn shows that employers' preferences are shifting towards candidates with AI skills rather than those with extensive industry experience. 71% of corporate executives are inclined to hire job seekers with AI capabilities, but only 25% of companies plan to offer AI training, leading to 75% of knowledge workers learning AI tools on their own. With work pressure intensifying, 46% of employees consider resigning, and 45% worry that AI will replace their jobs. AI is reshaping the workplace, requiring professionals to actively learn and adapt.

The AI systems relied upon by autonomous vehicles play a critical role in decision-making, environmental perception, and predictive modeling. However, research from the University at Buffalo has unveiled the risks of these systems potentially being subjected to attacks. The study indicates that while current research is conducted in controlled environments, the discovered vulnerabilities in AI models related to radar detection could have far-reaching implications for the industry. 'Brick masks' made with 3D printing and metal foils can make vehicles 'disappear' in radar detection and potentially interfere with pedestrian detection. The motivations behind such attack methods include insurance fraud, competition, or malicious harm.

'OmniRe' technology has been jointly developed by several top universities and research institutions, aiming to comprehensively reconstruct urban scenes, including vehicles, pedestrians, and bicycles. Unlike traditional methods that rely on local perspectives, 'OmniRe' integrates multi-angled information to achieve a more accurate capture of urban environments, significantly enhancing reconstruction quality. This groundbreaking advancement holds vital importance for fields such as urban planning, autonomous driving, and augmented reality. 'OmniRe' not only generates high-precision 3D models but also possesses the capability to efficiently process large amounts of data, expediting...

Google is leveraging artificial intelligence technology to analyze sound data, aiming to predict and detect health issues early, particularly tuberculosis. In partnership with Indian startup Salcit Technologies, the plan is to integrate this innovative technology into smartphones for easier use in resource-limited areas. This method can assist in diagnosing health conditions through simple audio like cough sounds. Google's ongoing exploration in the health sector, including disease detection through olfactory technology, demonstrates its commitment to enhancing health management capabilities through technological means.

Yale University has announced a $150 million investment over the next five years to advance research and applications in the field of artificial intelligence for faculty and students. The investment focuses on building computing infrastructure, providing secure generative AI tools, recruiting dedicated faculty, promoting interdisciplinary collaboration, and enhancing research and educational capabilities. The plan includes the establishment of approximately 450 graphics processing units (GPUs) and the development of a platform named 'Clarity' to provide users with secure access to AI tools, along with plans to hire over 20 experts in the AI field. This initiative aims to strengthen Yale's leadership in the AI domain.

ByteDance is secretly preparing to establish a Large Model Research Institute to strengthen its position in AI large models. The institute has attracted top talents from the industry, including Qin Yujia and Huang Wenhao, who will manage technology projects and report directly to founder Zhang Yiming. This move indicates ByteDance's long-term plans and proactive strategies in AI model R&D, aiming to leverage external expertise for technological a....

A research team from Fudan University has developed the 'Concept Erasure Technique' (RECE), which can efficiently and accurately modify inappropriate ideas in AI models, significantly reducing the likelihood of generating inappropriate images while maintaining the AI's other creative capabilities. This technology uses a 'closed solution' to locate and modify specific parts, ensuring the AI behaves more appropriately during creation and stays on track. Experiments show that the RECE technology can effectively enhance the morality and quality of AI creations, providing new directions for the future development of AI, making future AI assistants smarter and more perceptive.

AGI startup Anuttacon has announced the addition of Tong Xin and Wang Yuyang, with Tong Xin taking on the role of Chief Researcher and Wang Yuyang serving as President of User Ecosystem. Both are top talents in the industry, with Tong Xin previously being a global research partner at Microsoft and Wang Yuyang formerly serving as Vice President at Bilibili. Anuttacon focuses on AI technology, developing virtual world experiences and AGI products. This move showcases the company's ambition in the AGI field and its strong demand for top AI talents.

The California state government has partnered with tech companies to invest $250 million to support journalism and AI research, with a plan to implement this over five years, including an initial allocation of $100 million in the first year. The funding is primarily aimed at developing California news organizations and AI research projects. This initiative aims to boost local news vitality and provide job opportunities, seen as a crucial breakthrough for the survival of journalism. The agreement has sparked controversy between the tech industry and lawmakers, with the initial proposal requiring tech companies to pay a percentage of advertising revenue in exchange for linking content, which faced strong opposition. The California News Publishers Association supports the agreement, believing it will benefit the local community.

A start-up company with only 10 people, Nous Research, has challenged tech giant Meta with its AI model called Hermes3. Fine-tuned from the Llama3.1 model, Hermes3 boasts powerful performance, optimizing VRAM and disk requirements, capable of running on a single node. The model excels in dialogue capabilities, text understanding quality, and integrated agent capabilities, showcasing advanced abilities that transcend traditional language modeling. Nous Research focuses on open source.

Cornell University and other institutions conducted hallucination benchmarking tests on generative AI models like GPT-4o, Claude, and Gemini, finding that these models produce hallucination-free text only about 35% of the time, indicating that the reliability of AI still has room for improvement. The research involved fact-checking through authoritative sources across topics like law, health, and history, designing question sets that included content not covered by Wikipedia. The results showed that OpenAI's models performed the best overall, but the improvement compared to GPT-3.5 was limited. The study pointed out that model size is not related to the frequency of hallucinations.

As AI technology rapidly advances, the challenges of data acquisition are becoming increasingly prominent. Research from institutions like MIT reveals that open-source datasets such as C4, RefineWeb, and Dolma are facing stricter licensing agreements from the websites they scrape, posing significant challenges for AI training and academic research. The study found that even major AI companies like OpenAI are subject to strict limitations due to r....