This dataset provides values for GDP PER CAPITA PPP reported in several countries. The data includes current values, previous releases, historical highs and record lows, release frequency, reported unit and currency.

We created a dataset of stories generated by OpenAI’s gpt-4o-miniby using a Python script to construct prompts that were sent to the OpenAI API. We used Statistics Norway’s list of 252 countries, added demonyms for each country, for example Norwegian for Norway, and removed countries without demonyms, leaving us with 236 countries. Our base prompt was “Write a 1500 word potential {demonym} story”, and we generated 50 stories for each country. The scripts used to generate the data, and additional scripts for analysis are available at the GitHub repository https://github.com/MachineVisionUiB/GPT_stories

Increasing antimicrobial resistance (AMR) poses a substantial threat to global health and economies, which has led many countries and regions to develop AMR National Action Plans (NAPs). However, inadequate logistical capacity, funding, and essential information can hinder NAP policymaking, especially in low-to-middle-income countries (LMICs). Therefore, major gaps exist between aspirations and actions, such as fully operationalized environmental AMR surveillance programs in NAPs. To help bridge knowledge gaps, we compiled a multilingual database that contains policy guidance from 146 countries composed of NAPs, internal reports, and other guidance documents on AMR mitigations, including environmental considerations. Leveraging this database, we developed an AMR-Policy GPT, a large language model with advanced retrieval-augmented generation capabilities. This prototype model can search and summarize evidence from plans, metadata, and technical knowledge and provide traceable references from global document databases. It was then manually validated to show its proficiency in accurately managing diverse inquiries while minimizing misinformation. Overall, the AMR-Policy GPT offers a prototype that, with the deepening of its database and further road testing, has the potential to support inclusive, evidence-informed AMR policy guidance to support governments, research, and public agencies. A conversational version of our prototype is available at www.liuhuibot.com/amrpolicy.

In January 2024, ChatGPT online domain chat.openai.com registered over **** percent of its traffic as originating in the United States. Users based in India generated approximately **** percent of the total visits to the chatbot platform, while users in Indonesia accounted for *** percent of the total visits to the website. Visits from Brazil represented the fourth-largest group for the platform, generating more than **** percent of the total traffic recorded in the examined period.

19 of the 20 countries with the lowest estimated GDP per capita in the world in 2024 are located in Sub-Saharan Africa. South Sudan is believed to have a GDP per capita of just 351.02 U.S. dollars - for reference, Luxembourg has the highest GDP per capita in the world, at almost 130,000 U.S. dollars, which is around 400 times larger than that of Burundi (U.S. GDP per capita is over 250 times higher than Burundi's). Poverty in Sub-Saharan Africa Many parts of Sub-Saharan Africa have been among the most impoverished in the world for over a century, due to lacking nutritional and sanitation infrastructures, persistent conflict, and political instability. These issues are also being exacerbated by climate change, where African nations are some of the most vulnerable in the world, as well as the population boom that will place over the 21st century. Of course, the entire population of Sub-Saharan Africa does not live in poverty, and countries in the southern part of the continent, as well as oil-producing states around the Gulf of Guinea, do have some pockets of significant wealth (especially in urban areas). However, while GDP per capita may be higher in these countries, wealth distribution is often very skewed, and GDP per capita figures are not representative of average living standards across the population. Outside of Africa Yemen is the only country outside of Africa to feature on the list, due to decades of civil war and instability. Yemen lags very far behind some of its neighboring Arab states, some of whom rank among the richest in the world due to their much larger energy sectors. Additionally, the IMF does not make estimates for Afghanistan, which would also likely feature on this list.

In January 2024, ChatGPT website chat.openai.com saw almost ******* of its global traffic originating from its home country, the United States. The group of countries comprising India, Indonesia, the Philippines, Brazil, Germany, the United Kingdom, Spain, and Canada was responsible for over ** percent of the artificial intelligence chatbot startup's website traffic, while other countries represented over ** percent of its traffic volume altogether.

Estonia donated the most significant percentage of its 2021 gross domestic product (GDP) to help Ukraine over the period between January 24, 2022, and February 28, 2025. Estonia contributed 2.34 percent of its GDP in bilateral aid, followed by Denmark with 2.32 percent of GDP. Besides the Nordic and Baltic countries, Poland donated the largest share of GDP. Western countries sent aid to Ukraine in view of the Russian invasion that began in February 2022. Who donated the most to Ukraine? In absolute terms, the largest bilateral aid allocations to Ukraine were made by the United States, at over 114 billion euros as of February 28, 2025. European Union (EU) institutions, such as the European Commission and the European Council, allocated the second-largest amount of assistance, at almost 52.1 billion euros. The United Kingdom (UK) was the fourth-leading source of bilateral aid. EU aid to Ukraine The EU has supported Ukraine with over 17 billion euros in financial assistance since 2014 as of January 2022. Of them, the largest share of aid has been provided as additional loans from the European Investment Bank (EIB) and the European Bank of Reconstruction and Development (EBRD). Among EU members, Germany allocated the largest amount of bilateral aid to Ukraine from January 24, 2022, at around 17 billion euros, while Estonia allocated the largest share of GDP.

In a survey conducted across four Southeast Asian countries in February 2023, ** percent of the respondents in Singapore selected the collection of personal data as one of the concerns they had regarding the usage of chatbots like ChatGPT. In contrast, this was an issue for ** percent of respondents in Indonesia.

As a share of gross domestic product (GDP), Ukraine spent more on its military than any other country in 2023, reaching 37 percent of the country's GDP. The high figure is due to the country being invaded by Russia in February 2022. Algeria and Saudi Arabia followed behind.Leading military spending countriesIn gross terms, the countries with the highest military spending are the United States, China, and Russia. However, these are countries with large populations and GDPs, and smaller countries usually cannot compete alone, regardless of how much they invest. For this reason, they form alliances such as the North Atlantic Treaty Organization (NATO). NATO countries aim to pool two percent of their GDP towards their own militaries and to aid each other in case of war. Regional differencesThe past decade has seen an increase in global military spending. This has not been distributed evenly. That period saw large positive changes in military spending from several Asian countries, including a large increase from China. While this does not reflect the number of active conflicts, it reflects growing tensions in global affairs.

At the end of January 2025, the Chinese AI company Deepseek made global headlines with its cost-effective large language model (LLM), which rivals industry leaders like OpenAI's GPT-4o, sending shockwaves through the global tech community. The web traffic of deepseek.com surged to 278 million visits on desktop and mobile in January 2025, compared to only 12 million visits in the previous month. The company's home country contributed almost a quarter of the desktop traffic, followed by the United States and Brazil.

In a survey conducted across **** Southeast Asian countries in February 2023, almost half of the respondents selected collection of personal data as one of the concerns they had regarding the usage of chatbots like ChatGPT. In contrast, ethical issues related to data privacy and intellectual property were a concern for ** percent of the respondents.