Latest news with #Grok
News18
5 hours ago
- Automotive
- News18
Robot Valet Zooms In, Lifts Car, Parks Perfectly
Last Updated: A video of Parkie, a self-driving valet robot by South Korea's HL Mando, has amazed netizens. Using lidar, radar, and optical sensors, Parkie autonomously parks cars. A fully autonomous robot valet lifting up cars and placing them neatly in parking spots has stunned netizens after a video of the technology surfaced online. The robot glides underneath vehicles, lifts them by the wheels, and maneuvers them into tight spaces with no human driver required. 'Is this real?" asked one user on X. Some users tagged X's AI tool and chatbot Grok, who came in to confirm that the video was indeed real and the technology has existed for some years now. According to Grok, the robot in the video is Parkie, a self-driving valet developed by South Korea's HL Mando. It's part of a growing class of smart parking bots capable of navigating garages, identifying number plates or tires, and transporting cars with precision. Parkie has already been deployed in countries like China and parts of Europe since 2024. Fully autonomous valet robot that parks, retrieves, and navigates tight spaces with ease. — Moments that Matter (@_fluxfeeds) July 5, 2025 Built with a Level 4 autonomous system, the robot uses a combination of lidar, radar and optical sensors to operate independently in controlled environments. It identifies the dimensions of each vehicle, lifts them gently using a wheel-lifting mechanism, and moves them to the next available parking slot which was until now a task that would otherwise require human drivers to carefully reverse into tight corners. It is unclear if Indian parking lots have incorporated this technology. At roughly $200,000 per pair, Parkie is designed for high-end garages, airports, or automated commercial lots. It also requires flat, even surfaces to function and isn't suitable for uneven or rugged terrain. Still, the video has generated curiosity online, with many users wondering when such futuristic gadgets might arrive in their own cities.
Yahoo
6 hours ago
- Politics
- Yahoo
Elon Musk Obtains Permit to Spew Pollution
In the city that built the blues, Elon Musk's xAI data center has been given permission to keep polluting the air with fumes from burning methane gas — which it had already been doing so without authorization for a year. As Wired reports, Memphis' local health department has granted an air permit for the xAI data center, allowing it to keep operating the methane gas turbines that power Musk's Grok chatbot and Colossus, the gigantic supercomputer at its heart. In Boxtown, the historically Black neighborhood in South Memphis where xAI's data center is situated, Musk's unfettered pollution has ripped the band-aid off a wound that had barely begun to heal. As Capital B News reported earlier this year, the neighborhood was once home to the Allen Fossil Plant, an electrical facility that left pits of noxious coal ash and a lengthy legacy of environmental racism behind when it was forced to close in 2018. In the year since the data center opened and Colossus went online, the smog from Musk's gas turbines has been veritably choking out local residents in a district already struggling with heightened asthma rates due to its proximity to industrial pollution. "I can't breathe at home," Boxtown resident Alexis Humphreys told Politico earlier this year. "It smells like gas outside." Given that context, local activists are furious that xAI was granted a permit at all — especially because it appears to violate the Clean Air Act, a landmark federal law that regulates the kind of emissions that the xAI plant has been leaching out for a year now. "I am horrified but not surprised," conceded KeShaun Pearson, the head of the Memphis Community Against Pollution, in an interview with Wired after the permit decision came down. "The flagrant violation of the Clean Air Act and the disregard for our human right to clean air, by xAI's burning of illegal methane turbines, has been stamped as permissible." "Over 1,000 people submitted public comments demanding protection," he continued, "and got passed over for a billionaire's ambitious experiment." The new permit, as Wired notes, grants xAI the right to operate 15 turbines. According to aerial footage from the Southern Environmental Law Center, which is planning to sue the Musk-owned AI company for violating the Clean Air Act, there are as many as 35 on the site of the xAI data center — and with its track record of flagrant law-breaking, there's a good chance all will be turned on. Between the SELC's suit and the permit's year-long expiration date, there is time for Musk's massively-polluting data center to be reined in — but until that happens, Memphians will keep being choked out in their own homes thanks to their government's decision to put one billionaire's profit margins over its own people. More on xAI: Grok AI Went Off the Rails After Someone Tampered With Its Code, xAI Says
Mint
9 hours ago
- Business
- Mint
Technobabble: We need a whole new vocabulary to keep up with the evolution of AI
The artificial intelligence (AI) news flow does not stop, and it's becoming increasingly obscure and pompous. China's MiniMax just spiked efficiency and context length, but we are not gasping. Elon Musk says Grok will 'redefine human knowledge," but is that a new algorithm or just hot air? Andrej Karpathy's 'Software 3.0" sounds clever but lacks real-world bite. Mira Murati bet $2 billion on 'custom models," a term so vague it could mean anything. And only by testing Kimi AI's 'Researcher" did we get why it's slick and different. Technology now sprints past our words. As machines get smarter, our language lags. Buzzwords, recycled slogans and podcast quips fill the air but clarify nothing. This isn't just messy, it's dangerous. Investors chase vague terms, policymakers regulate without definitions and the public confuses breakthroughs with sci-fi. Also Read: An AI gadget mightier than the sword? We're in a tech revolution with a vocabulary stuck in the dial-up days. We face a generational shift in technology without a stable vocabulary to navigate it. This language gap is not a side issue. It is a core challenge that requires a new discipline: a fierce scepticism of hype and a deep commitment to the details. The instinct to simplify is a trap. Once, a few minutes was enough to explain breakthrough apps like Google or Uber. Now, innovations in robotics or custom silicon resist such compression. Understanding OpenAI's strategy or Nvidia's product stack requires time, not sound-bites. We must treat superficial simplicity as a warning sign. Hot areas like AI 'agents' or 'reasoning layers' lack shared standards or benchmarks. Everyone wants to sell a 'reasoning model,' but no one agrees on what that means or how to measure it. Most corporate announcements are too polished to interrogate and their press releases are not proof of defensible innovation. Extraordinary claims need demos, user numbers and real-world metrics. When the answers are fuzzy, the claim is unproven. In today's landscape, scepticism is not cynicism. It is discipline. This means we must get comfortable with complexity. Rather than glossing over acronyms, we must dig in. Modern tech is layered with convenient abstractions that make understanding easier, but often too easy. A robo-taxi marketed as 'full self-driving' or a model labelled 'serverless' demands that we look beneath the surface. Also Read: Productivity puzzle: Solow's paradox has come to haunt AI adoption We don't need to reinvent every wheel, but a good slogan should never be an excuse for missing what is critical. The only way to understand some tools is to use them. A new AI research assistant, for instance, only feels distinct after you use it, not when you read a review of what it can or cannot accomplish. In this environment, looking to the past or gazing towards the distant future is a fool's errand. History proves everything and nothing. You can cherry-pick the dot-com bust or the advent of electricity to support any view. It's better to study what just happened than to force-fit it into a chart of inevitability. The experience of the past two years has shattered most comfortable assumptions about AI, compute and software design. The infographics about AI diffusion or compute intensity that go viral on the internet often come from people who study history more than they study the present. It's easier to quote a business guru than to parse a new AI framework, but we must do the hard thing: analyse present developments with an open mind even when the vocabulary doesn't yet exist. Also Read: Colleagues or overlords? The debate over AI bots has been raging but needn't The new 'Nostradami' of artificial intelligence: This brings us to the new cottage industry of AI soothsaying. Over the past two years, a fresh crop of 'laws' has strutted across conference stages and op-eds, each presented as the long-awaited Rosetta Stone of AI. We're told to obey Scaling Law (just add more data), respect Chinchilla Law (actually, add exactly 20 times more tokens) and reflect on the reanimated Solow Paradox (productivity still yawns, therefore chatbots are overrated). When forecasts miss the mark, pundits invoke Goodhart's Law (metrics have stopped mattering) or Amara's Law (overhype now, under-hype later). The Bitter Lesson tells us to buy GPUs (graphic processing units), not PhDs. Cunningham's Law says wrong answers attract better ones. Our favourite was when the Victorian-era Jevons' Paradox was invoked to argue that a recent breakthrough wouldn't collapse GPU demand. We're not immune to this temptation and have our own Super-Moore Law; it has yet to go viral. Also Read: AI as infrastructure: India must develop the right tech These laws and catchphrases obscure more than they reveal. The 'AI' of today bears little resemblance to what the phrase meant in the 1950s or even late 2022. The term 'transformer," the architecture that kicked off the modern AI boom, is a prime example. Its original 2017 equation exists now only in outline. The working internals of today's models—with flash attention, rotary embeddings and mixture-of-experts gating—have reshaped the original methods so thoroughly that the resulting equations resemble the original less than general relativity resembles Newton's laws. This linguistic mismatch will only worsen as robotics grafts cognition onto actuators and genomics borrows AI architecture for DNA editing. Our vocabulary, built for a slower era, struggles to keep up. Also Read: Rahul Matthan: AI models aren't copycats but learners just like us Beneath the noise, a paradox remains: staying genuinely current is both exceedingly difficult and easier than ever. It's difficult because terminology changes weekly and breakthroughs appear on preprint servers, not in peer-reviewed journals. However, it's easier because we now have AI tools that can process vast amounts of information, summarize dense research and identify core insights with remarkable precision. Used well, these technologies can become the most effective way to understand technology itself. And that's how sensible investment in innovation begins: with a genuine grasp of what's being invested in. The author is a Singapore-based innovation investor for GenInnov Pte Ltd
Time of India
15 hours ago
- Business
- Time of India
CA results 2025 Intermediate out today: Check out direct links & steps to download ICAI CA results May 2025
CA results 2025 Intermediate out today | Credit: Grok CA results 2025 Intermediate out today: The Institute of Chartered Accountants of India (ICAI) is all set to officially declared the CA Intermediate Results 2025 today, July 6, 2025, at 2:00 PM IST. Candidates who appeared for the May 2025 CA Intermediate examinations can soon check their results online through the official ICAI websites and The results for Final exam were released simultaneously, allowing students to access their scorecards, pass percentage, and toppers list conveniently. When and where to check CA Intermediate result May 2025? The CA Intermediate and Final results will be out at 2 PM IST but were released earlier on July 6, 2025. The Foundation results followed at 5 PM IST. Students must have their roll number, registration number, and PIN ready to check their results on the official websites. How to check ICAI CA Intermediate result May 2025? Below is the required steps to check ICAI CA Intermediate result May 2025 listed: Visit the official ICAI website at or On the homepage, click on the notification tab for CA Intermediate May 2025 results. Enter your roll number and registration number along with the captcha code. Submit the details to view your CA Intermediate scorecard. Download and save the result for future reference. CA Intermediate May 2025 Result Highlights Below is the required CA Intermediate May 2025 Result Highlights listed: Total candidates appeared for Group I: 97,034; Pass percentage: 14.67%. Total candidates appeared for Group II: 72,069; Pass percentage: 21.51%. Candidates appeared for both groups: 38,029; Pass percentage: 13.22%. FAQs Q1: When were the CA Intermediate Results May 2025 declared? Answer: The CA Intermediate results for May 2025 will be declared on July 6, 2025, starting from 2:00 PM IST. Q2: Where can I check my ICAI CA Intermediate May 2025 result? Answer: Candidates can check their results on the official ICAI websites: and using their roll number and registration number. Q3: What is the passing criteria for CA Intermediate exams? Answer: Candidates must secure at least 40% marks in each subject and an aggregate of 50% to qualify for the CA Intermediate exam. Q4: Can I apply for the next CA exam if I fail in May 2025? Answer: Yes, candidates who do not clear the May 2025 exams can register for the September 2025 exams. Registrations are open from July 5 to July 18, 2025. Q5: Is there a direct link to download the CA Intermediate May 2025 result? Answer: Yes, ICAI will soon activated direct links on their official portals for quick access to results. Q6: Are the CA Intermediate toppers and merit lists available? Answer: Yes, ICAI will soon release the toppers and merit lists along with the results for May 2025 exams. For more information on exams, results and careers, please visit Indiatimes Education. First Published: Jul 06, 2025, 10:50 IST Shivani, is an accomplished SEO content writer with 3 years of experience working with leading companies like Info Edge and PW. She holds a master's degree in history and specializes in research paper & article writing. She is also experienced in webinars & blog posts, combining her love for storytelling with creative writing. Her passion for crafting impactful content makes her work stand out, helping brands connect with their audience and achieve goals. Read More
Yahoo
15 hours ago
- Climate
- Yahoo
Grok uses climate change stats to explain Karoline Leavitt's post about Texas floods
Grok, Elon Musk's artificial intelligence bot on X, summarized a post from the White House Press Secretary about the devastating Texas floods, providing information on how global warming increases the likelihood of extreme weather. On Saturday, Karoline Leavitt re-posted a Truth Social message from President Donald Trump acknowledging the intense flooding that has killed at least 32 people and informing the public that the administration is working with local Texas officials to assist. When asked to summarize the post, Grok said Trump was referencing the tragic July 4 flooding event in Texas but then provided some background information on how climate change is making flooding worse. 'Climate models from the IPCC and NOAA suggest that ignoring climate change could intensify such flooding events in Texas, as warmer air holds more moisture, with peer-reviewed studies (e.g., Trenberth et al., 2018) indicating a 7% increase in atmospheric water vapor per 1°C warming, potentially exacerbating future disasters,' Grok summarized. Since January, the Trump administration has drastically rolled back climate regulations, cut research funding, and essentially eliminated climate programs. Trump has called climate change a 'hoax' and downplayed concerns about severe weather becoming more common and deadly despite science showing otherwise. The administration has made cuts to the National Weather Service, the government agency responsible for monitoring weather events, and the Federal Emergency Management Agency, the agency tasked with coordinating disaster response and administering recovery efforts. Both NWS and FEMA play major roles in warning people of inclement weather, coordinating a response, and delivering relief to those in need. Yet, Trump has characterized FEMA as an unnecessary federal resource intervening in state-level issues. 'A governor should be able to handle it, and frankly, if they can't handle it, the aftermath, then maybe they shouldn't be governor,' Trump said last month. The administration also made cuts to the NWS, which led to the departure of nearly 600 employees – hundreds of whom are critical in monitoring weather and issuing warnings to residents. While the agency is hiring new staff to 'stabilize' itself, former NWS directors warned that cutting staff could understaff offices so much so that 'there will be a needless loss of life.' Further cuts to programs that monitor climate and weather patterns, such as the U.S. Global Change Research Program, which produces congressionally mandated reports on how climate change is affecting life, could hinder preparations for extreme weather. Texas officials said, over the weekend, they were unprepared for the amount of rain that flooded nearby rivers and created lethal flash flooding overnight.
