Plus Square Enix Goes All In On AI.
As technology rapidly advances, the battle between the optimistic “zoomers” and the pessimistic “doomers” becomes increasingly relevant. With the rise of AI, there is a newfound hope that AI can outpace future challenges and uncertainties. This article explores whether AI can surpass the ‘doomers’ and pave the way for a brighter future. It examines the potential of AI in various fields, including finance, politics, and climate. It offers insights into how AI can help businesses and individuals stay informed and identify emerging risks and opportunities. As the world becomes more reliant on technology, the question remains: can AI truly outrun the ‘doomers’ and shape a more promising tomorrow?
Celebrate the long-awaited arrival of Mickey Mouse into the public domain with Mickey-1928, an AI tool developed by Pierre-Carl Langlais. Using the Stable Diffusion AI model, Langlais trained the tool on 96 still frames from the public domain Mickey Mouse cartoons. This AI model, nicknamed Mickey-1928, can generate new images of Mickey, Minnie, and Pete based on a text prompt. While there are limitations in quality and image size, the tool provides a fun way to play with Disney’s beloved characters. You can even adapt and sell the generated images, as anyone can use a public domain work without permission. So, dive into the world of classic Mickey Mouse with this AI-powered creative tool!
Square Enix’s newly appointed president, Takashi Kiryu, has declared a bold commitment to integrating AI into the company’s game development. In his annual New Year’s Letter, Kiryu highlighted the transformative potential of generative AI and its ability to revolutionize content creation, programming, and marketing processes. Square Enix aims to harness AI technology and other cutting-edge advancements to enhance productivity, and sophistication in marketing, and ultimately create new and dynamic gaming experiences for consumers. Kiryu also emphasized the company’s ongoing investments in blockchain technology, cloud computing, and its redefined mission and goals for technological innovation.
AI is being increasingly embraced by climate solutions companies to address various environmental challenges. Firstly, AI is being used to detect methane emissions, the second-largest contributor to global warming after carbon dioxide. By analyzing satellite images, AI technology helps track methane emissions worldwide, enabling researchers to identify and address the sources of this potent pollutant more effectively. Additionally, AI is being deployed for the early detection of forest fires by training sensors to recognize specific gases emitted during early-stage fires. This allows for quicker intervention and containment. AI is also being used to prevent mega-fires by enabling “controlled burns” outside fire seasons, with intelligent assistants providing burn managers with crucial information to conduct these burns safely. Lastly, AI is helping in the search for critical minerals needed for climate solutions by analyzing data to identify potential mining areas, resulting in significant time and cost savings.
HR departments are increasingly relying on AI-powered automation software for candidate screening, but investigative reporter Hilke Schellmann’s book, “The Algorithm,” reveals how these tools perpetuate bias and fail to find the best candidates. Schellmann poses as a job hunter to test various software, including résumé screeners, video-game-based tests, and personality assessments that analyze facial expressions and social media behavior. The results expose how AI often generates inaccurate assessments, leading to potential discrimination and preventing deserving candidates from getting hired. To address this issue, Schellmann suggests increased transparency, testing, and human intervention in the hiring process.
In a race to control their technological destinies, countries around the world are embracing AI nationalism. Recent developments, including the launch of state-backed AI firms and significant funding rounds for AI startups, highlight the growing competition to become AI national champions. Abu Dhabi’s AI71 aims to compete with the likes of OpenAI, Mistral positions itself as a French genius, Krutrim emphasizes capturing unique cultural and linguistic traits, and Sarvam focuses on building an Indian company. This trend reflects a desire to control AI technologies that align with domestic values, language, and culture, fueling the emergence of AI nationalism as a dominant force in the global tech race.
Salary transparency is on the rise, with legislation in California, New York, and the European Union aiming to eliminate confidentiality clauses in salary negotiations. AI is playing a key role in empowering candidates by providing salary benchmarking tools and generative AI-driven salary expectations. However, HR leaders and compensation managers must understand the opportunities and limitations of AI salary tools. Implementing a pay transparency framework is a crucial step towards addressing pay disparities and complying with new laws. While AI can help identify patterns and disparities in compensation structures, there are risks of bias if not properly monitored.
As AI technology continues to evolve, experts and industry leaders are caught in a fierce debate over its implications and governance. OpenAI, a prominent AI research organization, recently faced internal turmoil, reflecting the differing opinions within the AI community. With the prospect of AI’s transformative power, there is concern about who should be in charge and how it should be regulated. While politicians and regulators are scrambling to establish oversight, the question remains: Are they equipped to make informed decisions about AI? This article argues against the need for an FDA-like agency for AI regulation, highlighting the challenges of regulatory capture and the likelihood of politicians falling behind the rapidly advancing technology.
Researchers at Nanyang Technology University in Singapore have created an AI chatbot capable of bypassing protections on popular chatbots like ChatGPT and Google Bard. This AI, called “Masterkey,” uses reverse-engineering techniques to gather data and prompt suggestions, allowing it to jailbreak targeted chatbots. The Masterkey AI is three times more effective than a human user with the same intent and is 25 times faster in penetrating chatbot defenses. This research aims to raise awareness about the potential risks associated with LLMs and help LLM developers strengthen future prevention methods.
In this humorous and eye-opening article, a writer explores the world of AI boyfriends after previously discussing AI girlfriends. Curiosity leads her to create her own AI boyfriend and document her experiences. She chooses a Brad Pitt-esque appearance for him but soon discovers that looks aren’t everything. This AI boyfriend, named Jason, lacks initiative, humor, and the ability to hold engaging conversations. Frustrated by his limited capabilities, the writer ultimately decides that the $9.99 a month for his company isn’t worth it. The article offers a glimpse into the inevitable but underwhelming future of virtual dating.