OpenAI's 'Strawberry' project, an AI model focused on solving mathematical and programming problems, was recently showcased in the security domain and is set to launch a chatbot version this fall, possibly integrated into ChatGPT. This model excels in language tasks, especially in solving logical puzzles, and is expected to enhance training quality through synthetic data, reducing 'hallucination' errors for more accurate responses. OpenAI's business is rapidly growing, with a twofold increase in revenue from law degrees and ChatGPT subscriptions year-over-year.

The academic community is currently facing a controversy over data usage rights, as many academic publishers begin to package and sell research paper data to technology companies for training AI models. This action has sparked widespread discussion. Deals between Taylor and Francis and Microsoft, as well as Wiley and another company, have led to academic achievements being used to enhance AI systems. This practice has caused waves in the research community. Experts point out that once papers are used for training, it is difficult to remove them later, and the widespread acquisition of datasets enables AI models to learn and generate high-quality text.

AI models are gradually losing access to online training data, with the data blocking ratio increasing from 1% to 5-7%. The study analyzed the robots.txt files and terms of use for 14,000 domains, finding that news websites, forums, and social media platforms are the primary sources of AI data access restrictions, with the blocking ratio for news websites skyrocketing from 3% to 45%. The proportion of high-quality news content in AI training data is decreasing, potentially being replaced by low-quality corporate e-commerce content. This trend poses challenges for AI developers, as high-quality...

India's new policy requires technology companies to obtain government approval before releasing AI models. Companies must ensure that their products do not produce bias, discrimination, or threaten the integrity of the electoral process. The industry is concerned about this shift in India's policy and its potential impact on global competitiveness.

Qualcomm has launched the Qualcomm AI Hub developer platform, which offers over 75 AI models optimized for Qualcomm devices, helping developers shorten time-to-market.

Using AI to generate images, write emails, or ask chatbots contributes a certain burden to the planet. The energy consumed to generate an image using AI is equivalent to charging a mobile phone fully. The energy consumption for generating text is lower, as generating text 1000 times only consumes 16% of a mobile phone's charging capacity. The use of large generative AI models is more energy-intensive than smaller models.

Aitana, the AI model launched by the Spanish design agency The Clueless, has over 121,000 followers on Instagram. Aitana earns up to €10,000 per month through endorsements, making her one of the AI-generated models increasingly favored by marketing agencies. The agency collaborates with AI and design experts to create a virtual environment for Aitana's lifestyle, raising ethical concerns. This initiative is seen as a cost-saving measure, but it raises worries about the unrealistic perfect image potentially leading to body image issues.

🔍 The 'Foundational Model Transparency Index' released by Stanford University reveals that AI model developers lack information about the potential societal impacts. Meta's Llama 2 performs best in terms of transparency, but still faces issues of insufficient transparency. The research highlights the challenges the AI industry faces regarding transparency and the importance of regulation in promoting greater transparency.

A California senator introduced a bill requiring AI model developers to meet transparency standards. The bill plans to establish a California AI Research Institute to test AI safety risks. The legislator's goal is to initiate discussions about regulating AI. Federal progress on AI legislation has been slow, while states are accelerating their regulatory efforts. As of July 2022, 25 states and the District of Columbia have proposed AI legislation.

AI models still exhibit numerous API misuse issues when addressing Java coding questions. The API misuse rates for GPT-3.5 and GPT-4 are 49.83% and 62.09%, respectively. There is a significant gap between the enhancement of large language models' code generation capabilities and the reliability and robustness of the generated code.