Baidu Shares' Gaping Underperformance in Focus as Results Loom
The company kicks off the China internet earnings season, which has been hotly anticipated amid the recent DeepSeek-fueled stock boom. While its Hong Kong-listed shares are up 18% from a January low, peers Alibaba Group Holding Ltd. and Tencent Holdings Ltd. have soared at least 35% on AI-related news.
Hashtags
Try Our AI Features
Explore what Daily8 AI can do for you:
Comments
No comments yet...
Related Articles
CNET
a few seconds ago
- CNET
How Much Energy Do Your AI Prompts Consume? Google Just Shared Its Gemini Numbers
The explosion in use of AI tools across the world is increasing exponentially, but the environmental impact isn't expressed in detail often by the companies that make these tools. But Google has just released a technical paper detailing measurements for energy, emissions and water use of its Gemini AI prompts -- and the impact of a single prompt is, it says, minuscule. According to its methodology for measuring AI's impact, a single prompt's energy consumption is about the equivalent of watching TV for less than 9 seconds. That is quite low, but consider the variety of chatbots that are used, and that billions of prompts are easily sent every day. The good news is that the technology behind these prompts has become more efficient in the past 12 months. Google says that the energy of a single Gemini text prompt has reduced by 33x and total carbon footprint has reduced by 44x. That's not unsubstantial, and that type of momentum will need to be maintained going forward, Google says. Google did not immediately respond to CNET's request for further comment. Google's calculation method considers much more The search giant says the typical calculation for the energy cost of an AI prompt ends at the active machine it's been run on, which shows a much smaller per-prompt footprint. But Google's method for measuring the impact of a prompt spans a much wider range of factors that paint a clearer picture, including full system dynamic power, idle machines, data center overhead, water consumption and more. For comparison, it's estimated that only using only the active TPU and GPU consumption, a single Gemini prompt uses 0.10Wh of energy, 0.12mL of water and emits 0.02 gCO2e. This is a minute and promising number, but Google's wider methodology tells a different story. With more considerations in place, a Gemini text prompt uses 0.24Wh of energy, 0.26mL of water and emits 0.03 gCO2e -- almost more than double across the board. Will new efficiencies keep up with AI use? Through a multi-layered series of efficiencies, Google is continually working on ways to make AI's impact grow smaller. From more efficient model architectures and data centers to custom hardware, Google's approach to addressing AI's impact on the world is a full-stack one. With smarter models, use cases and tools coming out by the day, those efficiencies will be much needed everywhere as we are steeped further into our new AI reality. For more, you should stop using ChatGPT for these things.
USA Today
a few seconds ago
- USA Today
AI-Proof Your Resume: Data-Backed Strategies for Job Seekers
Though artificial intelligence (AI) and applicant tracking systems (ATSs) are smarter than they ever have been, strategy remains a key to success. However effective a resume may be, all that matters is getting that information in front of the human recruiter who can actually move a candidate forward. Designing an AI-proof resume is essential, and identifying the right tools is needed to do so. The Spread of AI Hiring Tools According to the World Economic Forum, approximately 88% of companies are already using some form of AI for candidate hiring. While these tools are typically applied for the initial candidate screening, these systems can filter out even highly-qualified candidates if their profiles don't meet the AI system's particular criteria. Companies are still adapting to these shortcomings, but the efficiency promised by AI is sure to continue posing issues for candidates in 2025. Adapting to AI Hiring Practices Pinning down exactly what an AI tool is looking for in a resume can certainly be difficult, especially because the criteria can vary by company. That said, there are a few effective approaches that may be applied, as well as a number of myths to avoid entirely. 'Early challenges included the vast variation between ATS parsers, myths and misinformation about resume formatting, and user anxiety about AI rejection,' Volen Vulkov said of designing his resume-building platform and career tools provider, Enhancv. '[We] saw how many qualified candidates were being rejected… Enhancv aimed to demystify the process and give job seekers tools to adapt.' Myths About Resume Formatting for AI While these myths may have held some truth as AI and ATS systems have proliferated and improved, they are largely untrue today. Formatting concerns, such as different colors, fonts, and icons, are outdated; a modern ATS system can easily handle these variations. Modern AI tools can even format resumes for the user, dispelling this myth. That said, a user should avoid relying on an AI-generated resume. Three Methods for Getting a Resume Past AI It is almost impossible to avoid AI resume screening today, but there are proven methods for getting a resume in front of a human recruiter. Perhaps most importantly are target keywords, the words and phrases an AI or ATS looks for when analyzing an application. By identifying resume keywords related to the job description and applying them in context, an applicant can find an advantage. While formatting is not a concern, structure and readability are. By using standard resume headings, maintaining consistent structure and formatting throughout, and using spelling or grammar checkers to ensure that content is written correctly, applicants tend to stand out to AI. Lastly, an applicant must use an AI-safe, ATS-friendly resume file format. When it comes to ATS, there are two options, .pdf and .docx; other formats could sabotage an application. Using a Resume Builder Fortunately, applicants have a range of resume builder options that can help them get past ATS. Tools like Enhancv's resume checker even enable users to pre-test ATS compatibility, helping to ensure that a resume has a better chance of getting in front of a human recruiter. So long as an applicant avoids misconceptions and abides by proven methods, it is possible to overcome AI and ATS tools.
Forbes
a minute ago
- Forbes
How To Ask Better Questions In A World Drowning In AI Answers
After 25 years of avoiding answering the one question I get asked the most, it's time to break the bad news: The answer to how to ask better questions is that there are no easy answers. This also means that search engines and AI chatbots can't help you. In fact, there is a real risk that AI makes it harder for you to ask better questions – simply because it offers answers faster than you can decide what is and isn't important to ask. The good news is that you don't need an easy answer – or AI – to ask better questions. All you need is to turn down the volume of the experts telling you how to use questions to boost curiosity, critical thinking, and creativity, and instead turn up the volume of your own experience with asking and not asking questions. While questions are indeed essential for curiosity, critical thinking, etc., optimizing your questions for these desirable skills makes you lose touch with the dark side of questions. That is, the uncertainty, skepticism, and doubt that you don't consider desirable skills and therefore try to avoid. To ask better questions, you must embrace the good, the bad, and the ugly of questions. And you must start with the latter. 1. Face Your Fear Of Asking Questions The ugly side of asking questions is that it reveals your ugly side. Or at least that's what you think. The truth is that the ignorance, insecurity, and incompetence you reveal by asking is not your ugly side. It's a prerequisite for you to ask better questions. If you were not ignorant, insecure, and incompetent, you would have no reason to ask, and your questions would make no difference. 'But do I have to reveal these ugly-not ugly sides of myself to other people?', you may think. 'Can't I just reveal my ignorance, insecurity, and incompetence to AI and then only ask questions that make me look smart and confident when I'm with others?' I'm sorry to be the one who keeps bringing you bad news, but the answer is no. As I shared in a previous Forbes article, you can't ask better questions unless you're willing to jeopardize, 1) your personal and professional role, 2) your relationship with the people around you, and 3) your responsibility to contribute to a common goal. It's a huge risk that most people – rightly – fear. In fact, if you are not afraid to ask questions, it is very likely that you are doing it wrong. That is, not improving your questioning skills, and not helping yourself and others avoid drowning in AI answers. Asking a good question means asking a question that matters. To the person you ask, but also to you and the situation you share. If you don't care whether the answer is yes or no, or whether the entity you're asking knows the difference between right and wrong, true and false, then you have nothing at stake. You don't risk being wrong, misunderstood or – worse still – ignored. And you are therefore not under the existential and ethical pressure it takes to ask a question that makes a difference. 2. Practice Asking Big Questions It may seem a bit too much to throw around big words like existential and ethical in a short article about asking questions. But it's necessary to understand the bad thing about questions. Besides revealing your ugly-not ugly side, asking questions sends a signal that you are looking for answers. And that's bad in the sense that it doesn't help you ask better questions. To ask better questions, you must focus more on the questions you and others ask and less on your answers. Too often we judge a question by the answer it does – or does not – elicit. But as I share in the book, Questions, and the LinkedIn Learning course, 'Unlock your question mindset to think clearly and navigate uncertainty', getting answers is just one of the many reasons we have to ask questions. Another is to better understand ourselves and each other as human beings. And when it comes to asking better questions in a world drowning in AI answers, this is exactly where you want to focus. Big questions about who we are as humans, why we are here, and what is the right thing for us to do are not supposed to be answered. They are supposed to be explored, discussed, challenged, rephrased, and re-asked. While we all asked these big questions as kids, most of us are now busy asking smaller, more practical questions – like 'How do we get from A to B?', 'What's the deadline for this report?', and 'When will the bug be fixed?' To ask better questions, you must keep asking the questions that help you solve your day-to-day problems, but you must also practice asking the big questions that help you see your day-to-day problems in a bigger picture. With a bigger purpose. Paradoxically, a world drowning in AI answers seems to offer existential hope that we are all still capable and willing to do just that. 3. Make Room For Others To Do 1 & 2 Finally, the good part: Once you've embraced the ugly side of facing your fear of asking questions and have let go of your bad habit of only asking questions to get answers, you are not only starting to ask better questions yourself. You are also making it easier for others to avoid drowning in AI answers. So no, there are no easy answers to how to ask better questions. But if you replace the curiosity experts and AI chatbots with the good, the bad, and the ugly of your own experience with asking and not asking questions, you won't need them.
