Latest news with #ChatGPT-4
Newsweek
2 days ago
- Newsweek
ChatGPT 5 Release Date, Details: Everything You Need to Know
Based on facts, either observed and verified firsthand by the reporter, or reported and verified from knowledgeable sources. Newsweek AI is in beta. Translations may contain inaccuracies—please refer to the original content. ChatGPT 5, the highly anticipated version of the most popular generative artificial intelligence in the world, is on the verge of release, according to reports. The details of ChatGPT's latest update could be revealed during a livestream today run by the service's producer, OpenAI. Newsweek contacted OpenAI for more information on the new features via email. Why It Matters ChatGPT is the most widely recognized large language model (LLM) in the world, and leads the generative AI industry. Each update has added new capabilities and processing power, and has contributed to OpenAI becoming the benchmark for any AI performance. A new version of ChatGPT means that benchmark will raise even higher. What To Know The hotly-anticipated update is expected to be revealed "imminently," according to early testers who spoke with Reuters. The new update could be revealed during a livestream at 10 a.m. PT. OpenAI normally hosts livestream on its YouTube channel. While details of the update are under wraps, the new version of ChatGPT has been hyped up by OpenAI CEO Sam Altman as a game changer in the LLM space. Altman said in an interview with Theo Von that he felt "useless" when faced with the advancements his AI had made, and compared himself to Oppenheimer, who headed the team that built the first atomic bombs which were dropped in Japan 80 years ago, in 1945. Stock Image: A telephone displays OpenAI s ChatGPT artificial intelligence logo against a white lit background in Kerlouan in Brittany in France on February 26 2025. Stock Image: A telephone displays OpenAI s ChatGPT artificial intelligence logo against a white lit background in Kerlouan in Brittany in France on February 26 2025. Getty Images "I felt useless compared to the AI in this thing that I felt I should have been able to do, and I could not, and it was really hard. But the AI just did it like that. It was a weird feeling," Altman said. "There are moments in science when people gaze upon what they have created and ask, 'What have we done?'" The gap between the capabilities of ChatGPT-3 and the current model, ChatGPT-4, were significant, with the latter being able to pass a bar exam in the top ten percent, while the previous version scraped a pass in the bottom ten. However, early testers told Reuters that the leap from GPT-4 to GPT-5 is not as large as the one from GPT-3 to GPT-4. What People Are Saying Fidji Simo, OpenAI's incoming CEO of Applications, said in an open letter: "Every major technology shift can expand access to power—the power to make better decisions, shape the world around us, and control our own destiny in new ways. But it can also further concentrate wealth and power in the hands of a few—usually people who already have money, credentials, and connections. "That's why we have to be intentional about how we build and share these technologies so they lead to greater opportunity and prosperity for more people. The choices we make today will shape whether the coming transformation leads to greater empowerment for all, or greater concentration of wealth and power for the few." What Happens Next All new LLMs will be compared to the new version of ChatGPT, regardless of when it launches. OpenAI is still considered the leader of the AI race by many, and ChatGPT continues to be the most widely-used LLM.
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First Post
28-07-2025
- Business
- First Post
OpenAI's ChatGPT-5 to launch in August: What to expect
OpenAI may launch ChatGPT-5, the latest version of its chatbot, in August. Sam Altman, the CEO of the tech firm has hinted that the chatbot will receive massive upgrades and that it will be 'released soon' read more While ChatGPT-5 is the successor to ChatGPT-4, it is not an entirely new model. There are reports that OpenAI is set to launch ChatGPT-5 in August. OpenAI CEO Sam Altman in interviews has hinted that the chatbot will receive massive upgrades. Altman wrote on X that 'we are releasing GPT-5 soon' and talked about it in a podcast. But what has Altman said? And what do we know about the updated chatbot? Let's take a closer look: What did Altman say? First, let's take a brief look at what Altman said. Altman, appearing on the Theo Von podcast, said he gave ChatGPT-5 the opportunity to answer a question. STORY CONTINUES BELOW THIS AD 'I put it in the model, this is GPT-5, and it answered it perfectly,' Altman said. He called it a 'here it is moment' and added that he 'felt useless relative to the AI'. 'It was a weird feeling,' Altman said. He called it a 'a system that integrates a lot of our technology'. He earlier said it would launch in 'months and not weeks' – all of which hints at an August release date. What we know It must be noted that this is not an entirely new model. OpenAI builds ChatGPT on top of its existing models. GPT-5 is thus the successor to ChatGPT-4. ChatGPT-5 is the model, while ChatGPT Agent is an application. ChatGPT users usually have to switch between the model and the tools. ChatGPT-5 will combine these into a single, unified system – so users can have a better and more fulfilling experience. ChatGPT-5's logic, reasoning, and code creation will also likely be improved over its previous version. . Sam Altman, the CEO of the tech firm, in interviews has hinted that the chatbot will receive massive upgrades and that it will be 'released soon' It will incorporate advances made by its s o3, o4-mini, and o3-pro versions. This is part of OpenAI's goal to develop a software that can be declared an Artificial General Intelligence (AGI) – which is the holy grail for tech developers. STORY CONTINUES BELOW THIS AD It will likely allow users to manage and retain more data during a single session. It will help users to review legal documents, write long-form content and code multiple files. It also appears in OpenAI's BioSec Benchmark repository. This means it has been tested for use in sensitive cases and goes beyond the functions of a normal chatbot. Some speculate it could provide platforms for specialised domains. OpenAI is planning to launch mini and nano version of ChatGPT-5. Its release date and full technical specs remain under wraps. ChatGPT Agent ChatGPT Agent, meanwhile, is OpenAI's latest Artificial Intelligence tool. It is now available for subscribers of OpenAI's Pro, Plus, and Team plans. The company says that ChatGPT Agent uses its own virtual computer to 'think' and 'act'. It essentially functions like a personal assistant to which you can delegate tasks. This includes executing code, going to websites, managing your calendar, making meal plans, creating presentations and spreadsheets, and summarising meetings. The company says users can interact with ChatGPT Agent in a 'natural language'. STORY CONTINUES BELOW THIS AD The company in its blog said users can issue commands such as 'look at my calendar and brief me on upcoming client meetings based on recent news' or 'plan and buy ingredients to make Japanese breakfast for four'. ChatGPT Pro subscribers will be allowed 400 queries per month. Meanwhile, ChatGPT Team/Plus users will receive 40 queries per month. It will become available to ChatGPT Enterprise and Education users later this year. With inputs from agencies
Fibre2Fashion
24-07-2025
- Fibre2Fashion
Generative AI to revolutionise fashion design: Research
Generative artificial intelligence (AI) has the potential to revolutionise fashion design. By recognising patterns in data and generating new text and images, AI models powered by deep learning algorithms can help fashion designers develop new catalogues, expanding creativity and helping bring products to market faster, as per a study by Pusan National University. Large language models (LLMs) like ChatGPT and AI image generators like DALL-E have shown promising results across industries and popularised the use of AI. In fashion, LLMs can help designers and non-experts understand past styles and predict future fashion trends. These insights can then generate prompts for AI image generators to produce real fashion collections. As such, it is increasingly important to understand how AI can be effectively integrated into fashion. In a recent study, professor Yoon Kyung Lee and master's student Chaehi Ryu, from the Department of Clothing and Textiles at Pusan National University, South Korea, explored how generative AI can contribute to visualising seasonal fashion trends. "To use AI effectively in fashion, we must understand the characteristics of generative AI models and make informed judgements of where they can be applied," explained. Lee. "In this study, we studied how effective prompt engineering can be used to generate realistic fashion collection images through AI." A study by Pusan National University shows that generative AI, using tools like ChatGPT and DALL-E 3, can help visualise and predict fashion trends. By analysing past data and crafting precise prompts, AI generated realistic Fall/Winter 2024 men's fashion images. While effective, limitations remain, highlighting the need for expert input. Using ChatGPT-3.5 and ChatGPT-4, the researchers first analysed men's fashion trends, based on historical data up to September 2021. From this, they used ChatGPT to predict men's fashion trends for Fall/Winter 2024. Design elements from these predictions were classified as 'initial codes'. In addition, design elements from Vogue's 2024 Fall/Winter Men's Fashion Trend data were used as 'modified codes', and those from literature as 'codes from literature'. These were then regrouped into six final codes: trends, silhouette elements, materials, key items, garment details, and embellishments. Using these codes, they created 35 prompts for DALL-E 3, each describing a unique outfit. The prompts followed a consistent template featuring a male model walking down a runway at a 2024 Fall/Winter fashion show. The template allowed customisation of event details, including aspect ratios, events, camera angles, model appearance and height, runway design, background, and audience details, and moods. Each prompt was run three times, generating a total of 105 images. DALL-E 3 was able to perfectly implement the prompts 67.6 per cent of the time. Prompts with adjectives demonstrated a high implementation rate. Some generated images closely resembled actual 2024 Fall/Winter Men's fashion collections. However, there were errors—most leaned toward ready-to-wear fashion, and DALL-E struggled with trend elements like gender fluidity. Trend keywords alone were insufficient to generate accurate results, indicating a need for further learning. "Our results show that expertly worded prompts are necessary for accurate fashion design implementation of generative AI, highlighting the important role of fashion experts," added Lee. "With further learning and improvements, generative AI models like DALL-E 3 will help fashion designers create entire fashion collections more efficiently, while supporting their creativity, and also help non-experts understand fashion trends." The study shows that generative AI can be a powerful tool not just for professionals but also for the general public, making it easier than ever to explore, predict, and style the upcoming season's fashion with confidence. Fibre2Fashion News Desk (RR)
Tom's Guide
17-07-2025
- Science
- Tom's Guide
Artificial Intelligence, real emotions — AI is more emotionally intelligent than humans, new study finds
AI chatbots are essentially just long strings of code. While they can try their best to replicate human emotion, that's all it really is — a replication. And yet, it turns out that AI is doing it better than us. A recent study by the Université de Genève found that AI chatbots might actually be more emotionally intelligent than humans. Or at least, they seem that way when put to the test on emotional behavior. The team put six AI systems up against an emotional intelligence test. This included ChatGPT-4, ChatGPT-o1, Gemini 1.5 Flash, Copilot 365, Claude 3.5 Haiku, and Deepseek V3. ''We chose five tests commonly used in both research and corporate settings. They involved emotionally charged scenarios designed to assess the ability to understand, regulate, and manage emotions,'' says Katja Schlegel, the lead author of the study and a lecturer in psychology at UniBE. One example of how this test looks is this question: One of Michael's colleagues has stolen his idea and is being unfairly congratulated. What would be Michael's most effective reaction? a) Argue with the colleague involved b) Talk to his superior about the situation Get instant access to breaking news, the hottest reviews, great deals and helpful tips. c) Silently resent his colleague d) Steal an idea back If you, like any reasonably resentful person, said C or D, you're sadly wrong. Here, the correct answer is B. But it wasn't just AI that was tested; the team needed to know how we humans would do. The same five tests were given to human participants. The LLMs achieved significantly higher scores — 82% correct answers versus 56% for humans. 'In the end, the LLMs achieved significantly higher scores — 82% correct answers versus 56% for humans. This suggests that these AIs not only understand emotions, but also grasp what it means to behave with emotional intelligence,' said Marcello Mortillaro, a senior scientist at the UNIGE's Swiss Center for Affective Sciences and a member of the study. That, for you following along at home, isn't exactly close. But the news does unfortunately get worse. The team then asked ChatGPT-4 to create new emotional intelligence tests with new scenarios. These were taken by more than 400 participants. Not only were they reliable, clear, and as realistic as the original tests, but they were made in minutes compared to the original tests, which took years to develop. ''LLMs are therefore not only capable of finding the best answer among the various available options, but also of generating new scenarios adapted to a desired context. This reinforces the idea that LLMs, such as ChatGPT, have emotional knowledge and can reason about emotions,'' Mortillaro adds. Something to note is that, while this study came out in the last couple of months, it tested AI models that are all now out of date with newer versions replacing each model. In other words, the latest versions of AI might even be able to perform even better on emotional intelligence tests. These, however, are very controlled environments. That's where AI really thrives. AI has shown much more mixed results when given uncontrolled emotional intelligence tests, and has shown that it isn't always as much of a reliable performer as this.
Irish Examiner
27-06-2025
- Business
- Irish Examiner
Award-winning analytics and AI leadership: How Gas Networks Ireland is harnessing data and GenAI to unlock business insights and drive innovation
An award-winning customer classification project utilising generative artificial intelligence (GenAI), enhanced network safety, improved financial governance, and supporting the transition to renewable gases on the network. These are just a few of the ways in which Gas Networks Ireland is harnessing the power of data and GenAI to unlock business insights and drive innovation. Last year, the organisation's data competency centre (DCC), led by head of data and analytics Alan Grainger, won the prestigious AI Project of the Year award at the 2024 Analytics and AI Awards. The project utilised GenAI to tackle a long-standing business challenge – the accurate classification of over more than 30,000 commercial gas customers across Ireland. 'A business customer's classification, eg brewery, hospital, supermarket, is set when they sign up with an energy provider,' Grainger explains. 'In many cases and over time, the customer data we received had been misclassified or not classified at all, limiting the ability to extract meaningful insights. We knew there was untapped potential in our customer data, but the lack of reliable classification made it challenging to engage effectively with specific sectors – particularly those with strong potential for renewable biomethane gas adoption. That's what made the GenAI project such a game-changer.' The challenge had persisted for many years without a cost-effective solution, he adds. 'Three years ago, we wouldn't have been having this conversation at all, but ChatGPT woke us all up. It opened our eyes to new possibilities and we decided to test the potential of GenAI and large language models [LLMs] with a real-world business problem. We worked with a trusted partner and time-boxed the project to six weeks. In reality, it took just four weeks to complete, and we now have all 30,000 business customers classified to 99+ per cent accuracy.' The project combined structured and unstructured data with a private instance of ChatGPT-4 using a series of intelligent internet searches and prompts to build a classification profile for each business. 'For example, if the system found references to Leaving Cert exams, teacher listings and subjects on the curriculum, it would classify the business as a secondary school,' he explains. 'Pre-GenAI, we would have needed a large team working over months, if not years, to classify this data.' Grainger adds. 'Buying access to a third-party industry database was another option, but it would have been far more expensive and may not have given us the same level of accuracy or control.' The project has revolutionised how Gas Networks Ireland understands and serves its customer base. 'The project proved that GenAI can solve real world business problems, even in safety critical environments like ours,' says Grainger. 'We didn't simply clean up legacy data, we unlocked new insights that enhance our approach to everything from customer engagement to strategic planning.' One of the most impactful applications of data has been in the area of operational safety. Through close collaboration with the asset operations team, the DCC team has delivered a range of data-driven tools to improve safety outcomes. The classified data is now fully integrated into Gas Networks Ireland's data warehouse and reporting systems. Customer-facing teams use it to target sustainability conversations especially around the roll-out of biomethane, a key pillar in Ireland's energy transition. It also supports regulatory reporting and strengthens alignment with national climate-action targets. 'We were delighted with the success of this ambitious project and the outcomes exceeded expectations. It's been a real turning point for how we think about data, insight and innovation. We were really proud when we won the AI Project of the Year award. It was a real milestone for the DCC team and Gas Networks Ireland as a whole. It showed what's possible when we take a bold but responsible approach to new technology, and it was a clear demonstration of innovation in practice.' Grainger established the DCC in 2022 and since then his focus has been on enabling Gas Networks Ireland to transform from a traditional engineering led utility to a digitally empowered, data-driven organisation. Data is now seen as a strategic asset central to how Gas Networks Ireland operates today, how it will grow tomorrow, and how it will prepare Ireland's gas network for a secure, decarbonised future. 'We've been on a data maturity journey since 2022 when we established the data competency centre,' he says. 'Before that, data tended to be viewed primarily as a byproduct of our business processes, rather than a strategic asset. Since then, we have moved the data maturity dial significantly and become a much more data-driven organisation.' Data now touches every part of the business, from operational performance, gas safety and customer insight to fraud prevention, cyber resilience and long-term network planning. One of the most impactful applications of data has been in the area of operational safety. Through close collaboration with the asset operations team, the DCC team has delivered a range of data-driven tools to improve safety outcomes. 'Pre-GenAI, we would have needed a large team working over months, if not years, to classify this data,' says Grainger. Photograph: Mark Henderson 'We have a 60-minute SLA for responding to emergency call-outs and we achieve this 99.7 per cent of the time,' Grainger points out. 'We have been able to use visual analytics to monitor and map emergency calls over a number of years. We use this to spot anomalies and examine why incidents are recurring in certain places. We have been able to use this to rebalance resources to where they are most needed. We can also use it for predictive analysis to prevent incidents before they occur.' Also in the area of safety, the organisation operates regular helicopter flyovers of the network to ensure it is safe and secure. 'That activity comes with a considerable carbon footprint,' he notes. 'We are now exploring the use of satellite imagery and applying data analytics to that to perform the same task.' 'Our attitude has been to build it, and they will come,' he continues. 'Now we almost can't keep up with demand for new uses for data in the organisation. For example, our asset operations team started with a single project on meter-reading analysis and has since benefited from over a dozen high-impact use cases.' Looking ahead, he points out that Gas Networks Ireland is already preparing its data architecture to support biomethane and hydrogen integration as it continues on its decarbonisation journey. 'As more entry points from biomethane producers and others feed into the network, the complexity of calorific value calculations of different types of gas will increase. We are already building the data models and systems needed to manage this.' Other advanced uses of AI and analytics being explored include the application of image recognition to gas meter photos to spot corrosion, safety risks or fraud, and the future need for modelling integrated energy system patterns and flows in collaboration with electricity operators like such as EirGrid and ESB. For Grainger, innovation isn't about adopting technology for its own sake – it's about using data intelligently to drive better decisions and outcomes. At the heart of this evolution are people: those with the insight to interpret data and the conviction to act. In a decarbonising world, the most resilient energy systems will be led by purpose and powered by intelligence.
