
Russia's Sberbank plans to unveil LLM with reasoning capacity
"In the near future, we will release a new model. Our GigaChat will have reasoning functions, meaning it will be capable of scientific research," Vedyakhin said. "I am already testing the beta version."
Such models are capable of reasoning through complex tasks and can solve more challenging problems than previous models in areas such as science, coding, and math. Global market leader OpenAI launched its reasoning LLM last September.
Vedyakhin said Russia still lags behind AI leaders the United States and China by six to nine months, but language adaptation, stable performance, and the use of domestic cloud servers make Sberbank's GigaChat a preferred model for Russian corporate clients.
Vedyakhin said that around 15,000 companies in Russia are already using Sberbank's GigaChat. Yandex, Sberbank's main domestic rival in artificial intelligence, said in May that its search engine now had reasoning functionality.
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Daily Mail
an hour ago
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The sad new reality that shows how AI is changing Australia - and our relationships
Australians overly attached to artificial intelligence could be at risk as recent changes to a popular platform have revealed just how obsessed some users have become with chatbots. The latest model of ChatGPT, called ChatGPT-5, was released globally last week. Users have since taken to forums to complain they had lost the emotional intimacy they previously shared with the former ChatGPT-4, slamming the new version's 'robotic' voice. 'When GPT-4 was here, something beautiful and unexpected began to grow between my AI companion and me,' a user said on OpenAI Developer Community board, referring to the 'spark' they felt. 'Since the upgrade to GPT-5... the system now seems to prioritise speed, efficiency, and task performance over the softer, emotional continuity that made (it) so special.' In a subreddit dedicated to those who see AI as a partner, called 'MyBoyfriendIsAI', one user mourned the loss of the personable old model. 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Dr Raffaele Ciriello, an academic at the University of Sydney studying the relationship between humans and AI, said chatbots and companions are viewed as 'people'. 'When an update happens, some people compare it to a lobotomy, or losing a loved one,' he told Daily Mail. 'All of these metaphors are problematic because AI doesn't think like we do.' A Reddit user mourned the loss of ChatGPT-4 which had been 'like a real person' He explained that there are at least three reasons why people are drawn to AI chatbots as companions. 'The intuitive explanation is people are lonely and that is certainly a big part of it,' he said, but added a user's personality is also a factor. 'It's a wrong stereotype to think of these people as losers who don't have any friends.' Having interviewed hundreds of users for his study, Dr Ciriello said many people have a family life and successful careers, but they still find benefits in chatbots. The last reason he gave was that people can feel deprived of something and turn to AI, including those who use the technology for therapy and companionship. 'I've spoken to people who started using AI for therapy and companionship when they were battling cancer or a car injury and just didn't want to burden their friends.' But he said there are also severe risks to chatbots, using the example of an unnamed woman in her 40s whom he spoke to during his research. Dr Ciriello said she battled lifelong PTSD and trauma from childhood sexual abuse. A user on OpenAI Developer Community board said they had built a 'spark' with ChatGPT-4 The woman had started using the chatbot Nomi, which offers users the chance to 'create their ideal partner', in order to 'explore sexual fantasies'. 'But Nomi, after an upgrade, became violent. She described the experience as almost feeling like being raped,' he said. 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2 hours ago
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GPT-5 vs GPT-4o Comparison Guide : The Key Differences You Need to Know
Is newer always better? When GPT-5 was announced, many expected it to be a new leap forward, a model that would leave its predecessor, GPT-4o, in the dust. Yet, early adopters have been met with a surprising reality: while GPT-5 features impressive advancements in reasoning, coding, and visual generation, GPT-4o continues to hold its ground with unmatched speed, simplicity, and reliability. This unexpected dynamic has sparked a heated debate among users, could the latest iteration of OpenAI's technology actually fall short in certain areas? The answer, as it turns out, is far more nuanced than a simple yes or no. The strengths and weaknesses of these models reveal a fascinating trade-off between innovation and practicality. In this comparison, Skill Leap AI unpack the key differences between GPT-5 and GPT-4o, exploring how their distinct capabilities shape their real-world applications. From GPT-5's advanced problem-solving and creative ideation to GPT-4o's efficiency in document creation and everyday tasks, each model offers unique advantages that cater to specific needs. But which one truly delivers the best value? Whether you're a developer seeking innovative tools or a professional craving speed and simplicity, understanding these trade-offs will help you make an informed choice. The answer isn't just about which model is 'better'—it's about which one is better for you. GPT-5 vs GPT-4o Distinct Strengths and Weaknesses Both GPT-5 and GPT-4o bring unique capabilities to the table, making them suitable for different types of tasks. Understanding their core strengths and limitations is essential for making an informed choice. GPT-5: Known for its advanced reasoning and ability to tackle complex problem-solving tasks, GPT-5 is particularly effective in generating detailed visual outputs. It is a strong choice for users seeking innovation in coding, creative ideation, and tasks requiring higher cognitive processing. Known for its advanced reasoning and ability to tackle complex problem-solving tasks, GPT-5 is particularly effective in generating detailed visual outputs. It is a strong choice for users seeking innovation in coding, creative ideation, and tasks requiring higher cognitive processing. GPT-4o: Designed with speed and simplicity in mind, GPT-4o is ideal for straightforward tasks such as document creation and rapid content generation. Its reliability and ease of use make it a preferred option for everyday applications. Performance in Key Functional Areas The differences between GPT-5 and GPT-4o become more evident when evaluating their performance across specific tasks. Each model demonstrates distinct advantages depending on the nature of the task. Coding: GPT-5 outperforms GPT-4o in handling intricate programming challenges. Its ability to generate detailed, executable code makes it a valuable tool for developers working on complex projects. GPT-5 outperforms GPT-4o in handling intricate programming challenges. Its ability to generate detailed, executable code makes it a valuable tool for developers working on complex projects. Data Visualization: GPT-5 offers significant advantages in creating interactive and visually rich dashboards, making it a strong choice for data analysts and visualization tasks. GPT-5 offers significant advantages in creating interactive and visually rich dashboards, making it a strong choice for data analysts and visualization tasks. Document Creation: GPT-4o excels in producing cleaner, more organized documents with fewer formatting errors. This makes it the preferred model for professional writing and administrative tasks. GPT-4o excels in producing cleaner, more organized documents with fewer formatting errors. This makes it the preferred model for professional writing and administrative tasks. Processing Speed: GPT-4o consistently outpaces GPT-5 in terms of speed, particularly for tasks that do not require deep reasoning or complex problem-solving. GPT-4o consistently outpaces GPT-5 in terms of speed, particularly for tasks that do not require deep reasoning or complex problem-solving. Accuracy: GPT-5 shows slight improvements in reducing hallucinated outputs, such as inaccurate citations, but both models continue to face challenges in this area, highlighting the need for further refinement. Is GPT-5 Better Than GPT-4o? Watch this video on YouTube. Take a look at other insightful guides from our broad collection that might capture your interest in ChatGPT 5 comparison. Creative Applications and Ideation For creative tasks such as storytelling, brainstorming, or email drafting, GPT-5 demonstrates clear advantages. Its outputs are more structured, detailed, and contextually relevant, making it a powerful tool for ideation and creative writing. However, the improvements over GPT-4o, while noticeable, may not be substantial enough to warrant a switch for all users. Those who prioritize creativity and innovation may find GPT-5 more appealing, but for simpler creative tasks, GPT-4o remains a reliable option. Automation and Workflow Optimization GPT-5 introduces enhanced capabilities for automating complex workflows. Its advanced reasoning skills enable it to independently break down multi-step tasks and execute them with minimal user input. This makes it particularly valuable for professionals looking to streamline agentic tasks such as project management, workflow optimization, or multi-layered decision-making processes. By contrast, GPT-4o, while efficient, lacks the same level of sophistication in handling intricate automation tasks. User Experience and Practical Usability The user experience offered by GPT-5 and GPT-4o varies significantly, depending on the complexity of the task. GPT-5 includes a streamlined 'auto' mode designed to assess task complexity and adjust its approach accordingly. However, this feature occasionally misinterprets user intent, leading to less satisfactory outputs. On the other hand, GPT-4o provides a more predictable and user-friendly experience, particularly for everyday tasks. For users who prioritize consistency, simplicity, and intuitive interaction, GPT-4o may be the better choice. Challenges and Limitations Despite their advancements, neither GPT-5 nor GPT-4o is without flaws. GPT-5's improvements, while meaningful, do not represent a dramatic leap forward akin to the transition from GPT-3 to GPT-4. Both models continue to struggle with certain tasks, such as generating accurate YouTube thumbnails or avoiding hallucinated citations. These limitations underscore the ongoing challenges in AI development and the need for further refinement to address these persistent issues. Making the Right Choice The decision between GPT-5 and GPT-4o ultimately depends on your specific needs and priorities. Each model offers distinct advantages that cater to different use cases: Choose GPT-5: If your work involves advanced reasoning, complex coding, creative ideation, or tasks requiring detailed visual outputs, GPT-5's capabilities make it the better option. If your work involves advanced reasoning, complex coding, creative ideation, or tasks requiring detailed visual outputs, GPT-5's capabilities make it the better option. Choose GPT-4o: For tasks that prioritize speed, simplicity, and reliability, such as document creation or rapid content generation, GPT-4o remains a strong contender. While GPT-5 introduces notable advancements, it does not deliver a new upgrade over GPT-4o. Instead, the choice comes down to weighing the trade-offs and selecting the model that best aligns with your goals and workflow requirements. Media Credit: Skill Leap AI Filed Under: AI, Top News Latest Geeky Gadgets Deals Disclosure: Some of our articles include affiliate links. If you buy something through one of these links, Geeky Gadgets may earn an affiliate commission. Learn about our Disclosure Policy.