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BALTIMORE (AP) — Will Thomas had 27 points in Morgan State's 86-76 win over Campbell on Sunday. Thomas added seven rebounds for the Bears (6-8). Kameron Hobbs scored 21 points while going 8 of 12 from the floor, including 2 for 5 from 3-point range, and 3 for 4 from the line and added five assists. Marland Harris had nine points and shot 4 of 5 from the field. Nolan Dorsey led the way for the Fighting Camels (5-6) with 21 points and six rebounds. Jasin Sinani added 16 points, six rebounds and four assists for Campbell. Israel Yaw also had 10 points. Thomas scored nine points in the first half and Morgan State went into halftime trailing 33-31. Thomas' 18-point second half helped Morgan State finish off the 10-point victory. Up next for Morgan State is a matchup Sunday with Iowa State on the road. Campbell hosts Longwood on Wednesday. The Associated Press created this story using technology provided by Data Skrive and data from Sportradar .Kia, South Korea's second-largest carmaker, is set to launch its compact SUV 'Syros' in India next year. Kia, the maker of K5 sedans and Sorento SUVs, unveiled the new model for the first time in India on Sunday.The Syros SUV will be available in two trims, one with a 1.0-liter gasoline turbocharged engine and the other with a 1.5-litre diesel engine, as per the company's press release. The company's strategy doesn't stop at India. Following its sales in India, Kia plans to introduce the compact car in the Asia-Pacific region, Latin America, and the Middle East. This move is seen as a strategic expansion of the company's footprint in emerging markets. The Syros SUV comes equipped with safety features such as front collision avoidance, lane-keeping assistance, surround view monitor, and driver awareness warning systems. However, the company has not yet disclosed the vehicle's price. In related news, Kia India has announced a price hike of up to 2 percent across its entire lineup, effective from January 1. This decision is primarily due to rising commodity prices and escalating supply chain-related costs. Hardeep Singh Brar, senior vice president, sales and marketing, Kia India, stated, "At Kia, we are committed to delivering exceptional, technologically advanced vehicles of the highest quality to our valued customers. However, due to the persistent rise in commodity prices, unfavorable exchange rates, and increased input costs, a necessary price adjustment has become unavoidable." Despite these challenges, Kia is absorbing a significant portion of the cost increase, minimizing the financial impact on its customers. This move is seen as a strategic decision to ensure that customers can continue enjoying their favorite Kia vehicles without a major dent in their pockets. Kia's sales figures have been impressive, with 1.6 million units sold in India and overseas markets combined to date. Its best-selling innovation, Seltos, has surpassed 670,000-unit sales, followed by Sonet with over 480,000 units, Carens with 214,400 units, and Carnival with over 15,000 units. The auto industry has been witnessing a trend of price hikes. Other carmakers like Citroën and Jeep have also announced a price hike of up to 2 percent from January. Stellantis India, the parent company of Citroën and Jeep, has offered an opportunity to benefit from the existing pricing structure and attractive end-of-the-year offers until December 31, 2024. Tata Motors, another major player in the Indian auto industry, has also announced a price hike from January 2025. The company recorded total retail sales of 42,176 units in November 2024, marking a decline of 12,747 units as compared to November 2023. The auto industry is also witnessing a significant shift towards electric vehicles. The new car market is changing significantly, with more electric cars gradually growing their market share while petrol and diesel cars are reducing in number. This shift is being forced by the government's zero-emission vehicle mandate, which sets minimum targets for electric vehicles from all major car brands. Maruti Suzuki India achieves 2 million units in a calendar year for 1st time Hyundai AutoEver teams up with MapmyIndia to launch Navigation Mapping Venture Binoj Melath Nalinakshan Nair: Driving Innovation with Microservices, Automation, and AI ExcellenceAP News Summary at 4:49 p.m. EST
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OpenAI has introduced its latest AI model, known as “03,” which has achieved a new milestone in artificial intelligence. Scoring an impressive 75.7% on the ARC (Abstraction and Reasoning Corpus) benchmark, the model has surpassed human performance in a test specifically designed to evaluate reasoning and adaptability. This achievement marks a significant stride toward —a state where machines can perform intellectual tasks on par with humans. Imagine a world where machines could think, reason, and adapt as seamlessly as humans do. It might sound like science fiction, but OpenAI’s latest breakthrough, the OpenAI o3 model, brings us closer to that reality. This innovative AI has achieved a remarkable milestone, outperforming humans on the ARC benchmark—a test specifically designed to measure intelligence through adaptability and problem-solving, not rote memorization. While this achievement is undeniably impressive, it also raises questions: Are we truly on the brink of Artificial General Intelligence (AGI), or is there still a long road ahead? This overview by AI Grid provides more insight into the benchmarks and latest announcements from OpenAI. But let’s not get ahead of ourselves. The OpenAI o3 model’s success is as much about its potential as it is about its limitations. Yes, it’s a leap forward, but it’s also a reminder of the challenges that remain—like high computational costs and struggles with tasks humans find simple. Still, this milestone is a testament to how far AI has come and where it might take us next. Whether you’re excited, skeptical, or just curious, this article will unpack what this achievement means, how it works, and why it matters for the future of AI. Let’s dive in. OpenAI’s OpenAI o3 model achieved a new 75.7% score on the ARC benchmark, surpassing human performance and marking a significant step toward Artificial General Intelligence (AGI). The model is available in two variants: a low-tuned version for cost-efficient tasks and a high-tuned version for complex problem-solving, showcasing its flexibility. Despite its advancements, the model faces challenges such as task-specific struggles, high computational costs, and diminishing returns as benchmarks approach saturation. Beyond ARC, the OpenAI o3 model has demonstrated significant improvements in areas like software engineering and advanced mathematics, highlighting its versatility. While the OpenAI o3 model represents a pivotal moment in AI development, questions about AGI definitions, scalability, and cost efficiency remain critical for its future impact and accessibility. The ARC benchmark serves as a vital tool for assessing machine intelligence. Unlike traditional benchmarks that often focus on testing memorization or pattern recognition, ARC evaluates an AI system’s ability to solve novel problems using core reasoning and adaptability. These tasks, which include elements like basic physics, pattern recognition, and counting, are intuitive for humans but notoriously challenging for AI systems. The OpenAI o3 model’s score of 75.7% on this benchmark represents a significant leap forward in AI performance. This achievement underscores the model’s ability to generalize knowledge and solve problems without relying on rote learning. Such capabilities are essential for advancing AI systems toward more human-like intelligence. By excelling in ARC, the OpenAI o3 model demonstrates its potential to tackle complex, real-world problems that require reasoning and adaptability. The OpenAI o3 model is available in two distinct variants, each tailored to meet specific needs and applications. This dual-variant approach enhances the model’s flexibility and ensures it can address a wide range of challenges effectively. Optimized for speed and cost efficiency, this variant is ideal for simpler tasks that do not require extensive reasoning. It is particularly suited for applications where rapid processing and lower operational costs are priorities. Designed for complex, multi-step problem-solving, this version excels in tasks requiring deeper reasoning and adaptability. However, it comes with higher computational costs, making it more suitable for specialized, resource-intensive applications. These two variants highlight the model’s adaptability, allowing users to balance performance and cost considerations based on their specific requirements. Uncover more insights about in previous articles we have written. The OpenAI o3 model’s performance on the ARC benchmark represents a significant breakthrough in AI’s ability to adapt to new and unfamiliar tasks. This milestone brings the field closer to AGI, where machines could theoretically perform any intellectual task a human can. However, the model still falls short of fully meeting AGI criteria. It struggles with certain tasks that are straightforward for humans and faces limitations in computational efficiency, which remain critical hurdles. Despite these challenges, the OpenAI o3 model’s success demonstrates the feasibility of creating benchmarks that challenge AI systems in ways that align with human intuition. This progress paves the way for further advancements in AI, particularly in developing systems capable of reasoning and problem-solving at a level comparable to human intelligence. While the OpenAI o3 model showcases impressive capabilities, it is not without its limitations. These challenges highlight areas where further innovation and development are needed: The model occasionally falters on tasks that are simple for humans, revealing the inherent differences between human and machine intelligence. Running the model for certain tasks can incur significant expenses, sometimes reaching thousands of dollars. This raises concerns about scalability and accessibility for broader applications. As scores approach the upper limits of benchmarks like ARC, achieving further progress becomes increasingly difficult, necessitating the development of new evaluation methods. These limitations underscore the importance of addressing efficiency and scalability to ensure that advanced AI systems can be deployed more widely and effectively. The advancements of the OpenAI o3 model extend beyond its performance on the ARC benchmark. It has also demonstrated significant improvements in other domains, such as software engineering and advanced mathematics. For example, the model has achieved a 20-fold improvement in solving novel, research-level math problems compared to its predecessors. These achievements highlight the model’s versatility and its potential to address complex challenges across various fields. In addition to its technical capabilities, the OpenAI o3 model’s progress raises broader questions about how AGI should be defined and measured. As AI systems continue to improve in reasoning, adaptability, and efficiency, the boundaries of what machines can achieve are being redefined. This ongoing evolution will likely shape the future of AI research and its applications in diverse industries. The release of OpenAI’s 03 model marks a pivotal moment in the development of artificial intelligence. Its achievements on the ARC benchmark and other tests demonstrate the rapid pace of innovation in the field. However, these advancements also bring challenges, such as high operational costs and the need for more efficient systems. OpenAI plans to make the OpenAI o3 model more widely available, potentially unlocking new applications and opportunities across various sectors. As the field of AI continues to evolve, experts anticipate further breakthroughs that could reshape the boundaries of what machines can achieve. Over time, the costs associated with running advanced AI models are expected to decline, following trends observed in other technological advancements. This could make powerful AI systems like the OpenAI o3 model more accessible, allowing their use in a broader range of applications. The progress achieved by the OpenAI o3 model serves as a testament to the potential of artificial intelligence. While challenges remain, the advancements made so far provide a strong foundation for future innovation, bringing the field closer to realizing the vision of AGI and its fantastic impact on society. Media Credit:Don Gilet shines as Death in Paradise’s new lead sleuth – even if his first case makes no sense
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Losing to older brother John Harbaugh and seeing the Los Angeles Chargers' four-game winning streak snapped Monday night might be the least of Jim Harbaugh's problems this week. The Chargers are holding their breath that running back J.K. Dobbins isn't seriously hurt after he left with a knee injury late in the first half of the Chargers’ 30-23 loss to the Baltimore Ravens . Harbaugh, who dislikes discussing injuries and eschews questions about any player's status with the tried and true “I'm not a doctor” answer, will get plenty of inquiries about Dobbins' health this week. There were no updates on Dobbins' status Tuesday. The Chargers return to practice on a short week before having to travel cross-country to Atlanta. After injuries derailed Dobbins' four years with the Ravens, the 2020 second-round pick decided to bet on himself by signing only a one-year deal with the Chargers. Though the first 10 1/2 games, the bet appeared to be paying off. Dobbins had 40 yards on six carries when he was wrenched backward by linebacker Malik Harrison and then gang-tackled on a play for no gain on third-and-1 at the 50-yard line. Dobbins is fourth in the AFC in rushing with 766 yards and averages 4.8 yards per carry, third highest among AFC backs with at least 100 carries. He has been considered among the candidates for AP Comeback Player of the Year after suffering a torn Achilles tendon in last season’s opener. Dobbins' production throughout the season has made the offense more balanced. Los Angeles had 14 rushes for 68 yards before he was injured. They had seven carries for 15 yards the rest of the game. Without Dobbins and a 14-13 deficit at halftime, the Chargers tried to count on Justin Herbert and the passing game to rally back. Herbert was 11 for 22 for 125 yards and sacked three times in the five drives after Dobbins' departure and didn't get back into the end zone until Gus Edwards' 1-yard run with 46 seconds remaining. Edwards will be counted on to be the lead back if Dobbins has to miss games. Edwards missed four games during the middle of the season because of an ankle injury and has 25 carries for 93 yards in three games since returning to the lineup. Hassan Haskins and rookie Kimani Vidal will be counted on to provide depth. “Obviously, I’m hoping J.K. is OK. Gus has been an awesome addition, being able to run and go and get some yards,” Herbert said. "We just got to stay with it. I think that offensive line has done a great job all year. It didn’t go our way today, but we’re going to keep pounding the ball and keep getting after it.” Dobbins' injury also could not come at a worse time for the Chargers. They are 7-4 and hold the sixth seed in the AFC, but have tough upcoming tests against playoff contenders Atlanta (6-5), Kansas City (10-1), Tampa Bay (5-6) and Denver (7-5) the next four weeks. Herbert on the run. Herbert has at four scrambles of at least 12 yards in the past five games and got his second rushing touchdown of the season on the opening drive with a 5-yard carry up the middle. Not giving up big-play touchdowns. Rashod Bateman's 40-yard touchdown late in the second quarter (which would have been pass interference on Kristian Fulton if it wasn't completed) marked the third straight game the Chargers allowed a passing TD of at least 40 yards. They had allowed only two in the first nine games. LB Joey Bosa had four tackles, his most since he had seven in Week 1 against the Raiders. Bosa missed three games earlier in the season because of a hip injury, but had only two tackles in the four games since his return until Monday night. WR Quentin Johnston is the second Chargers receiver since 2009 to be targeted at least five times and not have a catch according to Sportradar. Travis Benjamin also had five targets and no receptions against the Jets in 2017. Besides being held without a catch, Johnston had two critical drops during the second half. In addition to Dobbins, CB Eli Apple suffered a hamstring injury in the first half and did not return. CB Cam Hart was inactive because of an ankle injury and was in a walking boot. LB Denzel Perryman (groin) and TE Hayden Hurst (hip) were also inactive because of injuries. 57 — Points allowed by the Chargers in the past two games. They had given up 68 in their first five games after their bye week. 73 — Games it took for Herbert to reach 1,800 completions, tying him with Kansas City's Patrick Mahomes as the fastest players in NFL history to reach that mark. 6 — Games where Daiyan Henley has had double-digit tackles. The second-year linebacker had 10 tackles (four solo) on Monday night. The Chargers will make their second trip in three years to Atlanta on Sunday. They won the 2022 meeting in Week 9 when Cameron Dicker hit a 37-yard field goal on the last play of the game. Los Angeles is 2-0 against the NFC South this season and has a four-game winning streak against teams in the division. AP NFL: https://apnews.com/hub/NFL1 2 Nagpur: Despite raising their voices after being deprived of chance to vote during the Lok Sabha elections held earlier this year, majority of the residents of old-age homes in the city claimed they couldn't exercise their franchise in the assembly polls too. Those in the 85+ age group were hoping to avail the home voting facility but complained they did not receive enrolment forms for the same. "We tried to plead that the home voting facility be extended to those 70 and above, but to no avail," said Mohan Sarwate, caretaker and manager of Soham Seniors Home which is a shelter for 60 members aged 65 to 90. Sarwate added that around 45 senior citizens from the old-age home had to travel to different parts of the city, such as Gokulpeth and Ring Road, to reach their respective polling stations and cast their votes. Makarand Kolaskar (76), a resident of Soham, was unable to vote during the LS elections as he did not have an voter card with a local address. Speaking to TOI, Kolaskar said, "Travelling to the polling station was a bit challenging as I had to arrange for transport, although Soham made travel accommodations for a few since all the polling stations were scattered. Preference was given to senior citizens at the polling station. I did not require assistance in walking or getting to the polling station, but officers at the booth were more than willing to help." The Elder Joy Care Centre and Old-age Home in Pratap Nagar, has 15 bedridden and paralysed senior citizens. Owner of the place told TOI, "None of these people were able to vote in the Lok Sabha elections. I tried to contact the authorities and local representatives of political parties, but to no avail. The members ranging from 50 to 92 years old were eligible for home voting because of their disability, but none of the authorities answered queries satisfactorily regarding the matter."
