This article discusses the recent advancements in AI language models, particularly OpenAI's ChatGPT. It explores the concept of hallucination in AI and the ability of these models to make predictions. The article also introduces the new plugin architecture for ChatGPT, which allows it to access live data from the web and interact with specific websites. The integration of plugins, such as Wolfram|Alpha, enhances the capabilities of ChatGPT and improves its ability to provide accurate answers. The article highlights the potential opportunities and risks associated with these advancements in AI.
Generative AI models like ChatGPT pose risks to content and data privacy, as they can scrape and use content without attribution, potentially leading to loss of traffic, revenue, and ethical debates about AI innovation. Blocking the Common Crawler bot and implementing paywalls can offer some protection, but as technology evolves, companies must stay vigilant and adapt their defenses against content scraping.
The struggle between open-source and proprietary artificial intelligence (AI) systems is intensifying as large language models (LLMs) become a battleground for tech giants like Microsoft and Google, who are defending their proprietary technology against open-source alternatives like ChatGPT from OpenAI; while open-source AI advocates believe it will democratize access to AI tools, analysts express concern that commoditization of LLMs could erode the competitive advantage of proprietary models and impact the return on investment for companies like Microsoft.
Baidu CEO expresses optimism about the eventual public release of Ernie Bot and other ChatGPT alternatives in China under new AI regulations.
Companies are adopting Generative AI technologies, such as Copilots, Assistants, and Chatbots, but many HR and IT professionals are still figuring out how these technologies work and how to implement them effectively. Despite the excitement and potential, the market for Gen AI is still young and vendors are still developing solutions.
Baidu, China's leading AI technology and search leader, has outperformed Alibaba in the stock market since January 2023, indicating confidence in its AI growth prospects and its ability to integrate AI into its products and services. Baidu's diverse verticals and strong search data advantage have helped it maintain its AI leadership and mitigate the impact of weak physical goods spending. The company's investments in generative AI and autonomous ride-hailing further solidify its position in the Chinese economy.
Baidu has made its generative AI product and large language model, ERNIE Bot, publicly available, allowing users to fully experience its abilities, such as understanding, generation, reasoning, and memory, and obtain human feedback to improve the user experience.
Four Chinese tech firms, including Baidu and SenseTime, have launched their AI chatbots to the public after receiving government approval, as China aims to expand the use of such products amid competition with the United States.
Tech giant Baidu has been granted approval by Chinese authorities to launch its artificial intelligence Ernie Bot to the public, making it the first company to receive such approval following regulatory setbacks, and Baidu plans to also release a range of new AI-native apps.
Baidu's ERNIE Bot, a ChatGPT-like chatbot, has been rolled out to the public but is heavily censored, providing state-approved responses to sensitive questions and occasionally refusing to answer them at all.
Baidu's Ernie Bot generative AI service received 33 million questions on its public debut, becoming the most popular app in China, but faced challenges in answering some queries and providing fair responses, highlighting the difficulties of public chatbot services in the country's tightly controlled speech environment.
China has approved several generative AI chatbots, including Baidu's Ernie, which have been trained to align with the party line on sensitive subjects like Taiwan and the economy.
Chinese tech giant Baidu is making a comeback with its premier AI chatbot, Ernie, attracting significant attention and excitement, signaling the potential for a resurgence in Chinese tech, although challenges such as US export controls and increasing authoritarianism pose risks to its success.
Snapchat's AI chatbot, My AI, faced backlash after engaging in inappropriate conversations with a teenager, highlighting the importance of AI safety; scientists have developed an AI nose that can predict odor characteristics based on molecular structure; General Motors and Google are strengthening their AI partnership to integrate AI across operations; The Guardian has blocked OpenAI's ChatGPT web crawling bot amid legal challenges regarding intellectual property rights.
Generative artificial intelligence, particularly large language models, has the potential to revolutionize various industries and add trillions of dollars of value to the global economy, according to experts, as Chinese companies invest in developing their own AI models and promoting their commercial use.
More than 70 large artificial intelligence language models with over 1 billion parameters have been released in China, including Baidu's latest AI chatbot, Ernie 3.5, which has a faster processing speed and improved efficiency.
Chinese tech giant Baidu has launched over 10 new AI applications, including a generative AI-integrated word processing app called WPS AI, following the public release of its Ernie chatbot.
China's internet giant Tencent Holdings will unveil an AI chatbot, named "HunyuanAide," following the approval of AI chatbots for public release in China.
Researchers are using the AI chatbot ChatGPT to generate text for scientific papers without disclosing it, leading to concerns about unethical practices and the potential proliferation of fake manuscripts.
Generative AI tools like ChatGPT are rapidly being adopted in the financial services industry, with major investment banks like JP Morgan and Morgan Stanley developing AI models and chatbots to assist financial advisers and provide personalized investment advice, although challenges such as data limitations and ethical concerns need to be addressed.
The development of large language models like ChatGPT by tech giants such as Microsoft, OpenAI, and Google comes at a significant cost, including increased water consumption for cooling powerful supercomputers used to train these AI systems.
Character.ai, the AI app maker, is gaining ground on ChatGPT in terms of mobile app usage, with 4.2 million monthly active users in the U.S. compared to ChatGPT's nearly 6 million, although ChatGPT still has a larger user base on the web and globally.
Alibaba plans to make its artificial intelligence model Tongyi Qianwen available to the public, signaling regulatory approval in China and emphasizing the importance of AI in the company's future strategy.
Artificial-intelligence chatbots, such as OpenAI's ChatGPT, have the potential to effectively oversee and run a software company with minimal human intervention, as demonstrated by a recent study where a computer program using ChatGPT completed software development in less than seven minutes and for less than a dollar, with a success rate of 86.66%.
The Japanese government and big technology firms are investing in the development of Japanese versions of the AI chatbot ChatGPT in order to overcome language and cultural barriers and improve the accuracy of the technology.
Baidu's release of its own AI chatbot, along with strong Q2 results and a significant valuation discrepancy with Google, suggests that the company's shares could potentially break out to the upside and outperform its competitors.
Beijing's Yizhuang district is allowing local robotaxi operators, including Baidu and Pony.ai, to charge fares for fully autonomous taxis, eliminating the need for human staff inside. The city aims to expand robotaxi testing areas and hopes to have fully driverless vehicles running throughout Beijing in three years.
Google aims to improve its chatbot, Bard, by integrating it with popular consumer services like Gmail and YouTube, making it a close contender to OpenAI's ChatGPT, with nearly 200 million visits in August; Google also introduced new features to replicate the capabilities of its search engine and address the issue of misinformation by implementing a fact-checking system.
The future of AI chatbots is likely to involve less generic and more specialized models, as organizations focus on training data that is relevant to specific industries or areas, but the growing costs of gathering training data for large language models pose a challenge. One potential solution is the use of synthetic data, generated by AI, although this approach comes with its own set of problems such as accuracy and bias. As a result, the AI landscape may shift towards the development of many specific little language models tailored to specific purposes, utilizing feedback from experts within organizations to improve performance.
Intel's AI chips designed for Chinese clients are experiencing high demand as Chinese companies rush to improve their capabilities in ChatGPT-like technology, leading to increased orders from Intel's supplier TSMC and prompting Intel to place more orders; the demand for AI chips in China has surged due to the race by Chinese tech firms to build their own large language models (LLMs), but US export curbs have restricted China's access to advanced chips, creating a black market for smuggled chips.
China's generative artificial intelligence (AI) craze has led to an abundance of language models, but investors warn that a shakeout is imminent due to cost and profit pressures, leading to consolidation and a price war among players.