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<ul><li>OpenAI expands ChatGPT Search to all free users.</li><li> The AI startup has also brought in some important new features and enhancements with a new update.</li><li> Information from Netflix and travel booking platforms gains prominence now.</li></ul> OpenAI has expanded access to ChatGPT Search, making it available to all free users. Originally introduced in October 2024 for paid subscribers, the feature was first offered as an invitation-only preview under the name SearchGPT. This update marks a broader rollout, improving the overall user experience. ChatGPT Search features ChatGPT Search provides users with quick, up-to-date answers and links to relevant web sources, a task typically managed by search engines. Kevin Weil, OpenAI’s Chief Product Officer, announced the update in a YouTube video, highlighting the advantage of integrating real-time web information into the <keyword id="19925753" type="General" weightage="20" keywordseo="AI-chatbot" source="keywords">AI chatbot</keyword>. In this enhanced version, prominent links—such as those from Netflix or travel booking platforms—are displayed at the top of search results, followed by ChatGPT’s text-based responses. <keyword id="21453184" type="General" weightage="20" keywordseo="voice-search" source="keywords">Voice Search</keyword> A significant update is the addition of voice search for users with Advanced Voice Mode enabled. This feature can be accessed by tapping the audio waveform button in the compose bar. With voice search, users can request <keyword id="20186447" type="General" weightage="20" keywordseo="real-time-information" source="keywords">real-time information</keyword> on topics like travel destinations, weather updates, or activity recommendations. ChatGPT’s Voice Assistant will reply using one of ten available voice styles. Search engine enhancements OpenAI has enhanced browsing speed and efficiency for users who choose ChatGPT as their default search engine. To streamline this process, the company has also launched a Chrome extension, enabling users to set ChatGPT as their default search engine for instant answers from reliable websites. SEE ALSO: <a href="https://www.businessinsider.in/tech/mobile/news/vivo-x200-and-x200-pro-launched-in-india-starting-at-65999/articleshow/116248162.cms">Vivo X200 and X200 Pro launched in India starting at ₹65,999</a> <a href="https://www.businessinsider.in/tech/mobile/news/oneplus-13-with-snapdragon-8-elite-to-be-launched-globally-in-january/articleshow/115920790.cms">OnePlus 13 with Snapdragon 8 Elite to be launched globally in January</a> <a href="https://www.businessinsider.in/tech/mobile/news/nothing-will-reportedly-launch-three-phones-in-2025-including-the-phone-3/articleshow/115891768.cms">Nothing will reportedly launch three phones in 2025, including the Phone (3)</a>

OpenAI rolls out ChatGPT Search to all free users with voice and map features

The United States government isn’t holding back when it comes to Big Tech, and <keyword id="19902762" type="General" weightage="20" keywordseo="Google" source="keywords" meta.keywordsubtype="org" meta.entityname="Google" meta.hostid="261" meta.entityid="Google">Google</keyword> is squarely in its sights. After years of concern over the tech giant’s grip on the digital world, the US Justice Department (DOJ) has made a bold demand: sell your Chrome browser. The move comes amid two high-stakes antitrust trials that accuse Google of monopolistic practices. So, what’s at the heart of the government’s case, and why is Chrome a key piece of the puzzle? Let’s break it down. <h3 style="line-height:1.38;margin-top:14.0pt;margin-bottom:4.0pt;">Search, Chrome, and monopoly madness</h3>In one corner, we have the DOJ versus Google in a trial in Washington, D.C., where a judge has already ruled that Google’s search business operates as an illegal monopoly. The DOJ argues that Google’s dominance in search, bolstered by its Chrome browser, gives the company an unfair advantage, effectively locking in users and advertisers. To remedy this, the DOJ has proposed that Google sell off Chrome entirely. This drastic move, they argue, could level the playing field and restore competition to a market where Google currently reigns supreme. <h3 style="line-height:1.38;margin-top:14.0pt;margin-bottom:4.0pt;">The ad tech tug-of-war</h3>Meanwhile, in Virginia, a second trial focuses on Google’s grip on the ad tech market — the engine behind the ads you see while browsing. The government alleges that Google’s trio of advertising software products effectively monopolises the ad tech ecosystem. Publishers like News Corp and Gannett claim they’re stuck using Google’s ad tools to survive. DOJ lawyer Aaron Teitelbaum summed it up bluntly: “Google is once, twice, three times a monopolist.” The DOJ accuses Google of using its financial clout to buy out rivals and control the auction systems that determine which ads appear online. This, they say, allows Google to charge advertisers more while paying publishers less. The government wants Google to divest parts of its ad tech business to dismantle this stranglehold. <h3 style="line-height:1.38;margin-top:14.0pt;margin-bottom:4.0pt;">Google fights back</h3>Unsurprisingly, Google has a different story. The tech giant calls the government’s arguments an attempt to pick “winners and losers” in an already competitive market. “The law simply does not support what the plaintiffs are arguing in this case,” said Google’s lawyer Karen Dunn. Google also argues that the ad tech market isn’t as straightforward as the DOJ claims. The company points out that ads appear across multiple platforms — search engines, social media, and apps — and Google doesn’t dominate all of them. In fact, it says rivals like Meta, Amazon, and TikTok are gaining ground. Dunn warned that forcing Google to sell parts of its business or work with competitors would essentially amount to government interference. “This is central planning,” she said, urging the court to reject the DOJ’s proposals. <h3 style="line-height:1.38;margin-top:14.0pt;margin-bottom:4.0pt;">What’s at stake?</h3>If the court rules against Google, the implications could be seismic. The DOJ’s proposals — selling Chrome or divesting parts of Google’s ad business — would fundamentally reshape how the company operates. But don’t expect a resolution anytime soon. Presiding Judge Leonie Brinkema is expected to issue her opinion swiftly, but any decision will almost certainly be appealed, dragging the case potentially to the US Supreme Court. Even then, the question of enforcement remains murky. While the Biden administration is eager to rein in Big Tech, future administrations could change course. Whether Google will ultimately be forced to sell Chrome or parts of its ad tech business is up to the courts — and potentially years of appeals. For now, the trials highlight a growing unease with the power of tech giants like Google. For Google, the stakes couldn’t be higher. For the rest of us, these decisions will shape the future of the internet as we know it. Stay tuned — this battle is far from over.

Why does the US want Google to sell its Chrome browser?

Enviro Infra Engineers, which is involved in the development of turnkey projects of <keyword id="19979438" type="General" weightage="20" keywordseo="sewage-treatment-plants" source="keywords">sewage treatment plants</keyword> and sewerage systems, on Monday fixed a price band of ₹140-148 per share for its ₹650 crore <keyword id="19913114" type="General" weightage="20" keywordseo="Initial-Public-Offering" source="keywords">Initial Public Offering</keyword> (IPO). The initial share sale will open for public subscription on November 22 and conclude on November 26. The bidding for anchor investors will open for a day on November 21, the company announced. The city-based company's proposed IPO is a combination of a fresh issue of 3.87 crore equity shares and an Offer For Sale (OFS) component of 52.68 lakh shares by promoters. Currently, promoters hold over 93 per cent stake in Enviro Infra Engineers. At the higher end of the price band, the IPO is valued at ₹650 crore, placing the company's market capitalization at approximately ₹2,600 crore. Proceeds from the fresh issue to the tune of ₹181 crore will be used to meet the working capital requirements, ₹100 crore will be used for payment of debt, ₹30 crore will be infused into the company's subsidiary, EIEL Mathura Infra Engineers, to build 60 million litres per day Sewage Treatment Plant (STP) at Mathura in Uttar Pradesh. Besides, a portion will be used for general corporate purposes. Half of the issue size has been reserved for qualified institutional buyers, 35 per cent for retail investors and the remaining 15 per cent for non-institutional investors. Enviro Infra Engineers is engaged in designing, construction, operation and maintenance of water and wastewater treatment plants and water supply scheme projects for government authorities/bodies. The treatment process installed by the company at most of the STPs is zero liquid discharge-compliant and the treated water can be used for horticulture, washing, refrigeration, and other process industries. Hem Securities is the sole book-running lead manager of the public issue. The equity shares of the company are expected to be listed on the BSE and NSE on November 29. SEE ALSO: <a href="https://www.businessinsider.in/stock-market/webstories/ntpc-green-energy-ipo-gmp-risk-factors-and-all-you-need-to-know/slidelist/115403791.cms">NTPC Green Energy IPO – GMP, risk factors and all you need to know</a><a href="https://www.businessinsider.in/business/auto/webstories/kawasaki-ninja-zx-4rr-launched-in-india-priced-at-9-42-lakh/slidelist/115332842.cms" target="_blank"></a> <a href="https://www.businessinsider.in/business/auto/webstories/kawasaki-ninja-zx-4rr-launched-in-india-priced-at-9-42-lakh/slidelist/115332842.cms" target="_blank">Kawasaki Ninja ZX-4RR launched in India priced at ₹9.42 lakh</a><a href="https://www.businessinsider.in/tech/mobile/news/indian-smartphone-shipments-grow-5-6-in-q3-2024-vivo-leads-the-market/articleshow/115329847.cms" target="_blank"></a> <a href="https://www.businessinsider.in/tech/mobile/news/indian-smartphone-shipments-grow-5-6-in-q3-2024-vivo-leads-the-market/articleshow/115329847.cms" target="_blank">Indian smartphone shipments grow 5.6% in Q3 2024, Vivo leads the market</a>

Enviro Infra Engineers IPO to open on Nov 22; eyes ₹650 crore

Since its founding in 2010, <a target="_blank" class="" href="https://www.businessinsider.com/google-deepmind">DeepMind</a> has focused on building AI that might solve some of the world's stickiest problems, as varied as the climate crisis and protein folding. Last year, Google, which acquired DeepMind in 2014, folded the group in with the unit responsible for creating the transformers AI model breakthrough, forming what DeepMind's chief operating officer, Ibrahim, describes as "the engine room of Google in the AI era." As head of operations, Ibrahim is not only helping guide Google DeepMind's pursuit of artificial general intelligence, but she's also led several internal initiatives to use DeepMind's research for consumer applications, including several partnerships to bring AI education to schools. But DeepMind's foundational research remains a key focus of investment for Ibrahim and the company. "We do believe there are more paths forward and more breakthroughs ahead," she says.See Business Insider's full <a target="_blank" class="" href="https://businessinsider.com/ai-power-list-2024">AI Power List</a>

Lila Ibrahim helps run Google's AI 'engine room' 

Getting a <keyword id="20488964" type="General" weightage="20" keywordseo="job-offer" source="keywords">job offer</keyword> in today's time might feel like half the battle won. The job market, especially in the tech sector, has been quite intense for the last few years and for international students, as per a <keyword id="19951562" type="General" weightage="20" keywordseo="LinkedIn" source="keywords" meta.keywordsubtype="org" meta.entityname="LinkedIn" meta.hostid="261" meta.entityid="LinkedIn">LinkedIn</keyword> user, things are quite challenging. The <keyword id="22004983" type="General" weightage="20" keywordseo="Indian-origin-engineer" source="keywords">Indian-origin engineer</keyword> living in the US took to the job-search platform to share his journey. He shared how he recently got a job offer from <keyword id="19903807" type="General" weightage="20" keywordseo="Elon-Musk" source="keywords">Elon Musk</keyword>'s <keyword id="19895433" type="General" weightage="100" keywordseo="Tesla" source="keywords" meta.keywordsubtype="org" meta.entityname="Tesla" meta.hostid="261" meta.entityid="Tesla">Tesla</keyword> after 500 cold emails, 300 plus applications and 10 interviews. <h2>Engineer gets job offer from Tesla</h2>The young international graduate in the U.S. took to LinkedIn and shared that he has finally secured a full-time role at Tesla as a Technical Support Specialist, after a five-month struggle of relentless job hunting. With over 300 applications, 500 cold emails, and numerous interviews, this success was hard-earned. Despite having solid credentials, including three internships, a strong <keyword id="20991885" type="General" weightage="20" keywordseo="gpa" source="keywords">GPA</keyword>, and extracurricular experience, the competitive job market proved challenging, especially for an international candidate dealing with visa pressures. During the job search, the candidate faced intense setbacks, including the loss of health insurance, housing, and the emotional strain of uncertainty around visa requirements. Living out of friends’ apartments and managing expenses on a tight budget, he persevered by treating job searching as a full-time endeavour, committing to hours of applications and interview preparation. <h2>"Was unemployed for months" </h2> "Despite having three internships, a good GPA, and active extracurriculars, I never imagined I would be in a position where I’d be unemployed for five months. I lost my lease, my health insurance, and constantly felt the ticking clock of my visa status, knowing I could be forced to leave the U.S. at any moment," his LinkedIn post read. However, he also shared that he made time to unwind in the evenings and weekends, acknowledging the importance of balancing this tough process with self-care. The now-Tesla employee shared practical tips and resources that made a difference in his journey, from cold-emailing potential employers to leveraging platforms like LinkedIn, Indeed, Handshake, and Jobright.ai for finding job openings. He added that with the help of ChatGPT+ for tailoring resumes and cover letters, he honed each application, turning every interview into a learning experience.

‘Was unemployed for months, lost my lease and insurance’: Indian-origin engineer gets offer from Elon Musk’s Tesla, shares journey

With how easy they can make our day-to-day lives, it is easy to get swept up by the impressive achievements of apps like <keyword id="19918826" type="General" weightage="20" keywordseo="ChatGPT" source="keywords">ChatGPT</keyword>, Midjourney, and <keyword id="20055508" type="General" weightage="20" keywordseo="DALL-E" source="keywords">DALL-E</keyword>. These <keyword id="21195046" type="General" weightage="20" keywordseo="AI-applications" source="keywords">AI applications</keyword>, powered by <keyword id="19897804" type="General" weightage="20" keywordseo="large-language-models" source="keywords">large language models</keyword> (LLMs), can generate text, create images, and hold conversations that mimic human interactions. But according to a recent study by Apple Computer Company researchers, the intelligence displayed by these AI systems is far from genuine. <h2>The illusion of intelligence</h2>The Apple research team, led by a trio of AI experts, conducted a series of tests on various popular LLMs. They found that while these models appear intelligent on the surface, their responses are often unreliable when asked to perform tasks requiring true <keyword id="21233087" type="General" weightage="20" keywordseo="logical-reasoning" source="keywords">logical reasoning</keyword>. This discrepancy, they argue, reveals that LLMs don’t actually “understand” the questions they’re answering. Instead, they simply recognise familiar patterns and respond based on statistical probabilities, rather than meaningful comprehension. To illustrate this point, the researchers used a simple analogy: imagine a child asking their parent how many apples are in a bag. The child also mentions that some of the apples are too small to eat. Both the child and the parent understand that the size of the apples has no bearing on their quantity. However, when <keyword id="19924380" type="General" weightage="20" keywordseo="AI-models" source="keywords">AI models</keyword> are presented with similarly structured questions — questions with information that can be considered unnecessary (like the size of the apples) — they frequently become confused, offering nonsensical or incorrect answers. <div type="Article" hostid="261" msid="114046455" title="Love ChatGPT and Alexa? This year’s Physics Nobel Prize has been awarded to two scientists who made these AI technologies possible" mstype="2" mssubtype="0"></div>In their study, the researchers asked the AI models hundreds of questions, including some with non-pertinent details. They found that even minor changes in phrasing or context were enough to throw off the models. These AIs, despite their advanced programming, struggled to filter out irrelevant information, suggesting that they lack the capacity for genuine logical reasoning. <h2>How do modern AI apps work?</h2>Understanding why AI models like ChatGPT struggle with logic and nuance requires a closer look at how these systems function. At their core, LLMs are based on complex machine learning algorithms that analyse vast amounts of text data to learn language patterns. Once trained, these models use probabilities to generate responses based on what they’ve seen in their training data. However, they don’t “understand” language the way humans do. When an LLM receives a prompt, it breaks down the text into tokens and predicts the next word in a sequence based on statistical likelihood. This approach allows the AI to generate coherent, contextually relevant responses but doesn’t equip it to handle questions that require deeper, contextual reasoning. In essence, AI models are mimicking language without truly grasping the meaning behind it. To elaborate on the earlier example, if asked, “How many apples are in a bag if three are too small to eat?” a human would immediately recognise that the size of the apples has no impact on the total count. An AI, on the other hand, may get tripped up by the additional detail and offer a convoluted response because it cannot separate what’s important from what’s not. Apple’s researchers suggest that this limitation is a fundamental flaw in how AI models are designed. While the technology has advanced rapidly, the underlying mechanics remain rooted in <keyword id="20034261" type="General" weightage="20" keywordseo="pattern-recognition" source="keywords">pattern recognition</keyword> rather than true comprehension. As a result, today’s AI applications are better suited for tasks that involve straightforward pattern matching, like language translation or text prediction, but struggle when asked to exhibit <keyword id="23580940" type="General" weightage="20" keywordseo="human-like-intelligence" source="keywords">human-like intelligence</keyword>. <h2>Overestimating AI capabilities can have risks</h2>Because these modern AI models can produce remarkably human-like text, many have a tendency to attribute greater intelligence and understanding to them than they actually possess. This misconception can lead to unintended consequences, such as relying on AI for critical decision-making in areas where accuracy and logical reasoning are paramount — such as in business decisions as more and more companies adopt AI. <div type="Article" hostid="261" msid="114284609" title="Even high school interns are able to use common AI tools to bypass security and launch bots on X, Facebook and other social media: report" mstype="2" mssubtype="0"></div>The researchers also caution that the “illusion” of intelligence can make it difficult for users to recognise when an AI is providing incorrect information. In their tests, Apple’s team noted that LLMs frequently gave answers that sounded correct on the surface but fell apart upon closer inspection. These findings highlight the importance of scrutinising AI-generated content and using these tools as supplements to human expertise rather than replacements for it. As AI continues to evolve, researchers will need to explore new approaches that go beyond pattern recognition. Achieving genuine AI intelligence will likely require breakthroughs in fields like cognitive computing and neuromorphic engineering — fields that aim to create systems capable of human-like understanding and reasoning. For now, the takeaway from Apple’s research is clear: despite their impressive capabilities, today’s AI apps are tools, not thinkers. As Apple researchers pointed out, these models are designed to simulate understanding but lack the cognitive depth to handle complex reasoning. Recognising these limitations is crucial as we integrate AI into more aspects of our lives. The findings of this research have been published in a preprint server and can be accessed <a href="https://dx.doi.org/10.48550/arxiv.2410.05229">here</a>.

Apple engineers assert the AI apps of today are essentially still just fakes that lack 'true' intelligence

<ul><li><keyword id="20623836" type="General" weightage="20" keywordseo="Gala-Precision-Engineering-IPO" source="Orion">Gala Precision Engineering IPO</keyword> has been fully subscribed within minutes after opening.</li><li>The ₹168 crore IPO from the company will close on Wednesday, September 4.</li><li>Gala Precision Engineering Ltd has fixed a price band of ₹503-529 per share</li></ul>The initial public offer (IPO) of Gala Precision Engineering was fully subscribed within minutes of opening for bidding on Monday. The IPO will close on Wednesday, September 4. Gala Precision Engineering is a precision component manufacturer of technical springs like disc &amp; strip springs (DSS); coil &amp; spiral springs (CSS) and Special Fastening Solutions (SFS). The company supplies its products to original equipment manufacturers (OEMs), Tier 1 and channel partners; used in sectors like renewable energy, including wind turbine and hydropower plants, various industrial sectors such as electrical, off-highway equipment, infrastructure and general engineering, mobility segments such as automotive and railways. The initial share sale received bids for 47,77,444 shares against 22,23,830 shares on offer, reflecting 2.15 times subscription, as per NSE data till 11:21 AM. The portion for Retail Individual Investors (RIIs) garnered 3.15 times subscription while the quota for non-institutional investors was subscribed 2.54 times. Gala Precision Engineering Ltd has fixed a price band of ₹503-529 per share for its ₹168 crore <keyword id="19913114" type="General" weightage="20" keywordseo="initial-public-offering" source="keywords">initial public offering</keyword> (IPO). The IPO includes a fresh issue of 25.58 lakh equity shares worth ₹135.34 crore and an offer for sale (OFS) of 6.16 lakh equity shares valued at ₹32.58 crore by promoter group entities and individual shareholders. This aggregates the transaction size to ₹168 crore at the upper end of the price band of ₹529. Proceeds from the fresh issue will be used for setting up a new facility at Vallam-Vadagal, SIPCOT, Sriperumbudur in Tamil Nadu for manufacturing high tensile fasteners and hex bolts; purchase of equipment, plant and machinery at Wada, Palghar in Maharashtra; payment of debt and general corporate purposes. Disclaimer: The content on this website is for informational purposes only and should not be construed as investment advice. We recommend that readers consult certified, qualified, registered advisors for professional and personalised financial advice. With inputs from agencies. SEE ALSO: <a href="https://www.businessinsider.in/tech/mobile/webstories/realme-13-plus-5g-vs-iqoo-z9s-pro-battle-of-the-under-25000-smartphones/slidelist/112924868.cms">Realme 13 Plus 5G vs iQOO Z9s Pro – Battle of the under ₹25,000 smartphones</a> <a href="https://www.businessinsider.in/stock-market/webstories/baazar-style-retail-ipo-price-band-to-risk-factors-all-you-need-to-know/slidelist/112920678.cms">Baazar Style Retail IPO – Price band to risk factors, all you need to know</a> <a href="https://www.businessinsider.in/business/auto/news/upcoming-cars-launching-in-india-in-september-2024/slidelist/112917920.cms">Upcoming cars launching in India in September 2024</a>

Gala Precision Engineering IPO fully subscribed within minutes on day one

When ChatGPT launched in November 2022, it was being looked upon as something straight out of a Sci-Fi film. The <keyword id="19896272" type="General" weightage="20" keywordseo="generative-AI" source="keywords">generative AI</keyword> chatbot could write, code, compose music and whatnot. While many people started using the AI chatbot everyday and started appreciating it, there were others who were afraid that the chatbot would take away their jobs. And then there were people who believed that knowing how to use <keyword id="20096338" type="General" weightage="20" keywordseo="AI-tools" source="keywords">AI tools</keyword> would be a necessary skill in the future. “AI won’t replace your job but someone using AI tools would” was a popular quote surfacing on LinkedIn at the time AI tools started getting popular. And as per a recent study, this quote holds true. A new study by Gartner says that by 2027, a staggering 80% of engineering professionals may find themselves at risk of <keyword id="20080267" type="General" weightage="20" keywordseo="job-loss" source="keywords">job loss</keyword> if they do not adapt and enhance their skills, particularly in the face of advancing generative AI technologies. Generative AI is changing the way software development and engineering roles are approached at the workplace. This shift poses significant challenges for engineers who have relied on traditional skills and methods. As AI systems become more capable of performing tasks previously done by humans, engineers must recognise the importance of staying current with new tools and methodologies to remain competitive in the job market. According to an Analytics India Mag report, industry experts warn that those who do not actively pursue further education or training may struggle to secure employment. As the demand for <keyword id="23563446" type="General" weightage="20" keywordseo="AI-related-skills" source="keywords">AI-related skills</keyword> rises, professionals who fail to adapt risk being left behind. The pressure to keep pace with technological advancements is not just a trend; it’s becoming a necessity for career survival. To mitigate the risks associated with job displacement, engineers should engage in <keyword id="20186222" type="General" weightage="20" keywordseo="lifelong-learning" source="keywords">lifelong learning</keyword>. Upskilling can take various forms, including online courses, workshops, and certifications focused on AI and machine learning. Many educational institutions and online platforms are responding to this need by offering specialised programmes tailored to the demands of the industry. The call for continuous learning is not just about acquiring new technical skills. It also involves developing soft skills such as critical thinking, problem-solving, and adaptability. These competencies are increasingly valuable in a world where collaboration with AI systems will become the norm.

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