ChatGPT rocketed to an estimated 100 million monthly users in its first two months, according to a report by analysts from the Swiss bank UBS. The bot's ability to have complex conversations, write poetry and pass professional exams impressed regular users and AI experts alike. Tech pundits called it the fastest-growing consumer app in history, and its rapid growth set off an arms race among Big Tech giants to push out their competing products.

NEC has developed a generative artificial intelligence model with high Japanese-language proficiency amid the global dominance of models trained in English. This month, NEC will start AI services based on its own large language model (LLM), the key technology for automatically creating sentences and other items, for business use in Japan, according to an announcement Thursday. Its sales target is ¥50 billion over the next three years. This could be due to a conflict with your ad-blocking or security software. Please add japantimes.co.jp and piano.io to your list of allowed sites. If this does not resolve the issue or you are unable to add the domains to your allowlist, please see this FAQ.

Generative AI tools such as chatGPT are poised to change the way people engage with online information. Recently, Microsoft announced their "new Bing" search system which incorporates chat and generative AI technology from OpenAI. Google has announced plans to deploy search interfaces that incorporate similar types of technology. These new technologies will transform how people can search for information. The research presented here is an early investigation into how people make use of a generative AI chat system (referred to simply as chat from here on) as part of a search process, and how the incorporation of chat systems with existing search tools may effect users search behaviors and strategies. We report on an exploratory user study with 10 participants who used a combined Chat+Search system that utilized the OpenAI GPT-3.5 API and the Bing Web Search v5 API. Participants completed three search tasks. In this pre-print paper of preliminary results, we report on ways that users integrated AI chat into their search process, things they liked and disliked about the chat system, their trust in the chat responses, and their mental models of how the chat system generated responses.

As AI technology advances rapidly, concerns over the risks of bigness in digital markets are also growing. The EU's Digital Markets Act (DMA) aims to address these risks. Still, the current framework may not adequately cover generative AI systems that could become gateways for AI-based services. This paper argues for integrating certain AI software as core platform services and classifying certain developers as gatekeepers under the DMA. We also propose an assessment of gatekeeper obligations to ensure they cover generative AI services. As the EU considers generative AI-specific rules and possible DMA amendments, this paper provides insights towards diversity and openness in generative AI services.

The development of Artificial Intelligence (AI) enables humans to co-create content with machines. The unexpectedness of AI-generated content can bring inspiration and entertainment to users. However, the co-creation interactions are always designed for content creators and have poor accessibility. To explore gamification of mixed-initiative co-creation and make human-AI interactions accessible and fun for players, I prototyped Snake Story, a mixed-initiative game where players can select AI-generated texts to write a story of a snake by playing a "Snake" like game. A controlled experiment was conducted to investigate the dynamics of player-AI interactions with and without the game component in the designed interface. As a result of a study with 11 players (n=11), I found that players utilized different strategies when playing with the two versions, game mechanics significantly affected the output stories, players' creative process, as well as role perceptions, and players with different backgrounds showed different preferences for the two versions. Based on these results, I further discussed considerations for mixed-initiative game design. This work aims to inspire the design of engaging co-creation experiences.

Companies developing AI in China need to comply with specific laws on intellectual property rights, personal information protection, recommendation algorithms and synthetic content, also called deep fakes. In April, regulators also released a draft set of rules on generative AI, the technology behind image generator Stable Diffusion and chatbots such as OpenAI's ChatGPT and Google's Bard.

We present this article as a small gesture in an attempt to counter what appears to be exponentially growing hype around Artificial Intelligence (AI) and its capabilities, and the distraction provided by the associated talk of science-fiction scenarios that might arise if AI should become sentient and super-intelligent. It may also help those outside of the field to become more informed about some of the limitations of AI technology. In the current context of popular discourse AI defaults to mean foundation and large language models (LLMs) such as those used to create ChatGPT. This in itself is a misrepresentation of the diversity, depth and volume of research, researchers, and technology that truly represents the field of AI. AI being a field of research that has existed in software artefacts since at least the 1950's. We set out to highlight a number of limitations of LLMs, and in so doing highlight that harms have already arisen and will continue to arise due to these limitations. Along the way we also highlight some of the associated risks for individuals and organisations in using this technology.

OpenAI is forming a dedicated team to manage the risks of superintelligent artificial intelligence. A superintelligence is a hypothetical AI model that is smarter than even the most gifted and intelligent human, and excels at multiple areas of expertise instead of one domain like some previous generation models. OpenAI believes such a model could arrive before the end of the decade. "Superintelligence will be the most impactful technology humanity has ever invented, and could help us solve many of the world's most important problems," the non-profit said. "But the vast power of superintelligence could also be very dangerous, and could lead to the disempowerment of humanity or even human extinction."

It's a rare day when a software developer blocks a feature for being too good, but that's exactly what's happened to OpenAI's ChatGPT AI chatbot –its abilities to browse the web with Bing were simply too effective at dodging paywalls. Recall that in March, OpenAI added support for the Bing browser to ChatGPT, specifically to give it knowledge of current events. Until then (and right now) the AI algorithm had only been trained up through the fall of 2021. If you asked it for the result of a recent sporting event, for example, ChatGPT would plead ignorance. When Bing support was added, ChatGPT could then ferret out those answers, providing answers that were either current or just a day or so old. But OpenAI discovered that Bing was too good at its job -- it was circumventing paywalls to provide the answers that users asked for.

This year, Microsoft commissioned global tech advisory firm Access Partnership, working alongside local partners including the Analytics Association of the Philippines, the Federation of Indian Chambers of Commerce & Industry (FICCI), and the Center for Global Communications (GLOCOM) in Japan, to conduct country-level research on the potential economic impact of generative AI across Asia. The research estimates a potential boost to productive capacity of US$621 billion in India, US$1.1 trillion in Japan, and US$79.3 billion in the Philippines alone, with studies ongoing in Malaysia, Indonesia and South Korea. These country findings are consistent with other global studies--for instance, a recent report by McKinsey estimates generative AI could add up to US$4.4 trillion a year to the global economy. The potential economic growth is so large because generative AI has implications for most types of work: its impact can be thought of as comparable to that of digitalization in general, rather than that of a specific product. In particular, this huge injection of productivity will arise from three channels--generative AI's potential to unleash creativity, accelerate discovery, and enhance efficiency.