In 2023, the focus on artificial intelligence (AI) was centered around its potential, but in 2024, the emphasis shifted to making AI useful without overspending. According to Arvind Narayanan, a computer science professor at Princeton University and co-author of "AI Snake Oil", there was a move from developing models to creating practical products.
https://www.manilatimes.net/2025/01/01/opinion/world/in-2024-artificial-intelligence-was-all-about-putting-ai-tools-to-work/2028788China's Baidu has made a significant advancement in artificial intelligence by developing the concept of foundational models, which was first introduced in 2014. This is notable because it predates the development of ChatGPT by OpenAI, led by Sam Altman. The foundational model concept is a crucial component in the creation of large language models like Ernie bot, Baidu's AI assistant.
https://interestingengineering.com/innovation/ai-models-open-ai-borrowed-baidu-ideaResearchers have made significant advancements in artificial intelligence, with several AI companies releasing impressive video generators and an AI agent outperforming the European Center for Medium-Range Weather Forecasts in predicting weather patterns. Additionally, a study found that ChatGPT surpassed human physicians in solving medical case histories, while OpenAI's "reasoning" system excelled in coding and complex math problems.
https://www.theatlantic.com/ideas/archive/2024/12/2024-scientific-technological-advancements/681158/Indian-origin CEO Aravind Srinivas met with Prime Minister Narendra Modi in New Delhi, discussing the potential for Artificial Intelligence (AI) in India. Srinivas praised Modi's dedication to staying updated on AI and his remarkable vision for its future use. The two leaders discussed the evolution of AI and its applications.
https://www.news18.com/india/inspired-by-his-dedication-indian-origin-perplexity-ai-ceo-aravind-srinivas-meets-pm-modi-discusses-ai-evolution-9171543.htmlThe use of artificial intelligence (AI) in the healthcare sector is growing rapidly, with AI-powered tools revolutionizing the way medical professionals diagnose, treat, and manage diseases. According to a report by News18.com, AI is being used to improve patient outcomes, streamline clinical workflows, and enhance patient engagement. However, the adoption of AI in healthcare also raises several challenges, including ethical concerns about data privacy and bias, practical issues related to integration with existing systems, and technical challenges such as ensuring the accuracy and reliability of AI-driven diagnoses. Despite these challenges, experts believe that AI has the potential to improve healthcare outcomes and reduce costs, making it an increasingly important area of focus in the healthcare industry.
https://www.news18.com/lifestyle/health-and-fitness-the-growing-role-of-artificial-intelligence-in-healthcare-opportunities-and-risks-9171405.htmlOpenAI has developed a general-purpose version of its o3 model, which can spend more time "thinking" about difficult questions. This model was then trained specifically for the ARC-AGI test by French AI researcher Francois Chollet, who designed the benchmark. The o3 model searches through different "chains of thought" to solve tasks, selecting the "best" option based on a loosely defined rule or heuristic. This process is similar to Google's AlphaGo system, which searched for optimal moves in the game of Go by considering various sequences of moves.
https://gizmodo.com/openai-claims-its-new-model-reached-human-level-on-a-test-for-general-intelligence-what-does-that-mean-2000543834Social media influencers are debating OpenAI's new o3 reasoning model, with some praising its impressive performance on coding and scientific tasks, while others express concerns about its high cost and potential overhyping of artificial general intelligence (AGI) capabilities. The model has demonstrated the ability to perform complex tasks autonomously and has a 'private chain of thought' approach for more reliable answers. However, experts such as Shreyasee Majumder from GlobalData and Elvis S from DAIR.AI argue that its real-world applicability is limited due to high cost and it is not yet capable of true general intelligence.
https://www.lokmattimes.com/business/openais-o3-reasoning-model-ignites-ai-hype-among-top-influencers/Chinese start-up DeepSeek has released a new large language model (LLM) called DeepSeek V3, which outperformed rival models from Meta and OpenAI in benchmark tests. The model was trained for two months at a cost of $5.58 million using significantly fewer computing resources than its competitors. Developed by Hangzhou-based company DeepSeek, the LLM has 671 billion parameters and is based on the technology behind generative AI services such as ChatGPT.
https://www.scmp.com/tech/tech-trends/article/3292507/chinese-start-deepseek-launches-ai-model-outperforms-meta-openai-products?module=top_story&pgtype=sectionThe Atlantic has published an article titled "The Nine AI Stories That Defined 2024" as part of its newsletter series, Atlantic Intelligence. The article is written by Damon Beres and features an illustration by The Atlantic. It highlights nine key stories related to artificial intelligence that had a significant impact in 2024.
https://www.theatlantic.com/newsletters/archive/2024/12/the-nine-ai-stories-that-defined-2024/681171/