The UAE insurance sector continued to grow in Q4-2023, as reflected by increase in the gross written premiums. As of year-end, the number of licensed insurance companies in the UAE remained at 60, according to the Central Bank of the UAE's (CBUAE) Quarterly Economic Review (Q4-2023). The insurance sector comprised 23 traditional national companies, 10 Takaful national and 27 foreign companies, while the number of insurance related professions remained at 491. The review on insurance sector structure and activity showed that the gross written premium increased by 12.7% Y-o-Y in Q4 2023 to AED 53.2 billion, mostly due to an increase in health insurance premiums by 16.5% Y-o-Y and an increase in property and liability insurance premiums by 18.9% Y-o-Y, while the insurance of persons and fund accumulation premiums decreased by 12.4% Y-o-Y, resulting primarily from decrease in individual life premiums. Gross paid claims of all types of insurance plans increased by 12.8% Y-o-Y to AED 31.1 billion at the end of 2023. This was mainly driven by the increase in claims paid in health insurance by 16.9% Y-o-Y and increase in paid claims in property and liability insurance by 10.9% Y-o-Y, partially offset by the decline in claims paid in insurance of persons and fund accumulation by 2.8% Y-o-Y. The total technical provisions of all types of insurance increased by 8.4% Y-o-Y to AED 74.4 billion in Q4 2023 compared to AED68.6 billion in Q4 2022. The volume of invested assets in the insurance sector amounted to AED 76 billion (60.4% of total assets) in Q4 2023 compared to AED 71.4 billion (59.4% of total assets) in Q4 2022. The retention ratio of written insurance premiums for all types of insurance was 52.9 % (AED 28.1 billion) in Q4 2023, compared to 54.9% (AED 25.9 billion) at the end of 2022. The UAE insurance sector remained well capitalized in terms of early warning ratios and risk assessment. Own funds to minimum capital requirement ratio increased to 335.7% in Q4 2023, compared to 309.3% at the end of 2022, due to an increase in own funds eligible to meet the minimum capital requirements. Also, own funds to solvency capital requirement ratio rose to 221% in Q4 2023 compared to 208.5% in Q4 2022, due to an increase in own funds eligible to meet solvency capital requirements. Finally, own funds to minimum guarantee fund ratio reached to 316.3% at the end of 2023 down from 314.6% a year earlier, due to higher eligible funds to meet minimum guarantee funds. In terms of profitability, the net total profit to net written premiums increased to 6.5% in Q4 2023, compared to 2.9% at the end of 2022. The return on average assets increased to 0.3% in Q4 2023 compared to the 0.1% at the of the previous year.

The World Intellectual Property Organization (WIPO) recently said that China filed 38,000 artificial intelligtion-related generative AI patents from 2014-23, while the United States filed 6,276 of the 50,000 patents filed by all countries. Of the 50,000 applications, 25 percent were filed last year.The top five inventor regions are: China (38,210 inventions), the United States (6,276 inventions), the Republic of Korea (4,155 inventions), Japan (3,409 inventions) and India (1,350 inventions).

United Airlines confirmed that a tire fell off a Boeing 757 passenger plane when it took off from Los Angeles International Airport in the early morning of July 8, local time. It is reported that there has been no report of any material damage or casualties in this accident. United Airlines said in a statement that the aircraft tire has been found and the investigation is ongoing. There were 174 passengers and 7 crew members on the flight involved. The flight left Los Angeles International Airport at around 7:15 on July 8 and flew to Denver. Unlike the aircraft tire falling incident on a United Airlines flight in March, the pilot of this flight continued the journey to Denver and landed smoothly there.

Chat means chat, and GPT is the acronym for Gene Rate Pre trained Transformer. Genrative means generation, and its function is to create or produce something new; Pre trained refers to a model of artificial intelligence that is learned from a large amount of textual materials, while Transformer refers to a model of artificial intelligence. Don't worry about T, just focus on the words G and P. We mainly use its Generative function to generate various types of content; But we need to know why it can produce various types of content, and the reason lies in P. Only by learning a large amount of content can we proceed with reproduction. And this kind of learning actually has limitations, which is very natural. For example, if you have learned a lot of knowledge since childhood, can you guarantee that your answer to a question is completely correct? Almost impossible, firstly due to the limitations of knowledge, ChatGPT is no exception, as it is impossible to master all knowledge; The second is the accuracy of knowledge, how to ensure that all knowledge is accurate and error free; The third aspect is the complexity of knowledge, where the same concept is manifested differently in different contexts, making it difficult for even humans to grasp it perfectly, let alone AI. So when we use ChatGPT, we also need to monitor the accuracy of the output content of ChatGPT. It is likely not a problem, but if you want to use it on critical issues, you will need to manually review it again. And now ChatGPT has actually been upgraded twice, one is GPT4 with more accurate answering ability, and the other is the recent GPT Turbo. The current ChatGPT is a large model called multimodality, which differs from the first generation in that it can not only receive and output text, but also other types of input, such as images, documents, videos, etc. The output is also more diverse. In addition to text, it can also output images or files, and so on.

July 4 (Reuters) - A hacker gained access to the internal messaging systems at OpenAI last year and stole details about the design of the company's artificial intelligence technologies, the New York Times reported, opens new tab on Thursday. The hacker lifted details from discussions in an online forum where employees talked about OpenAI's latest technologies, the report said, citing two people familiar with the incident. However, they did not get into the systems where OpenAI, the firm behind chatbot sensation ChatGPT, houses and builds its AI, the report added. OpenAI executives informed both employees at an all-hands meeting in April last year and the company's board about the breach, according to the report, but executives decided not to share the news publicly as no information about customers or partners had been stolen. OpenAI executives did not consider the incident a national security threat, believing the hacker was a private individual with no known ties to a foreign government, the report said. The San Francisco-based company did not inform the federal law enforcement agencies about the breach, it added. OpenAI in May said it had disrupted five covert influence operations that sought to use its AI models for "deceptive activity" across the internet, the latest to stir safety concerns about the potential misuse of the technology. The Biden administration was poised to open up a new front in its effort to safeguard the U.S. AI technology from China and Russia with preliminary plans to place guardrails around the most advanced AI Models including ChatGPT, Reuters earlier reported, citing sources.