
Ike Barinholtz cast as Elon Musk in OpenAI film from Luca Guadagnino
Barinholtz was nominated for an Emmy for his role as production executive Sal Saperstein in the acclaimed comedy series co-created by, among others, Seth Rogen and Evan Goldberg, as well as acting as one of the co-creators of Kate Hudson sports-comedy series Running Point.
Musk was one of the co-founders of OpenAI in 2015, along with Altman and a string of others; however, he left the company in 2018 and started a rival firm called xAI in 2023. Musk and OpenAI have been at loggerheads since, with a string of legal claims on both sides. Musk has accused OpenAI of abandoning its original charitable mission by establishing a for-profit subsidiary, and in August 2024 launched legal action against the company claiming he was manipulated into co-founding it, saying: 'The perfidy and deceit is of Shakespearean proportions.' Musk subsequently attempted a takeover of the company in 2025; his $97.4bn bid for OpenAI was rebuffed, with Altman posting on social media: 'no thank you but we will buy twitter for $9.74 billion if you want.' In April, OpenAI countersued Musk for what it claimed were his 'malicious campaigns' and 'harassing legal claims'.
Although plot details have not been confirmed, Guadagnino's film is said to concentrate on the brief period of behind-the-scenes drama when Altman was fired and re-hired as OpenAI CEO within a matter of days in November 2024. The board had claimed Altman was not 'consistently candid in his communications', but Altman was reinstated after many of the company's employees threatened to quit.
Andrew Garfield, Monica Barbaro and Anora's Yura Borisov have reportedly been cast in the film, though their roles have not been clarified. The writer has been confirmed as novelist Simon Rich, a former contributor to the Observer and writer of Rogen comedy An American Pickle. Guadagnino has just completed thriller After the Hunt, starring Julia Roberts, Ayo Edebiri and Garfield, which is due to receive its world premiere at the Venice film festival.
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Geeky Gadgets
2 hours ago
- Geeky Gadgets
ChatGPT 5 Coding Skills Tested : The Good, The Bad and The Future
What if the future of coding wasn't just about human ingenuity but also about how well we could collaborate with machines? Enter GPT-5, the latest iteration of OpenAI's new language model, which promises to transform how developers approach programming. With its remarkable ability to generate professional-grade code, tackle complex algorithms, and even refine user sketches into polished visuals, GPT-5 feels like a glimpse into the future of AI-driven development. But as with any technological leap, it's not without its quirks. From subtle bugs to struggles with unconventional tasks, GPT-5's performance raises thought-provoking questions about the balance between human oversight and machine autonomy. Prompt Engineering dives deep into GPT-5's advanced coding capabilities, multimodal features, and reasoning prowess, while also shedding light on its limitations. How does it handle intricate programming challenges? Can it truly bridge the gap between text and visuals in a way that transforms workflows? And where does it fall short, requiring human intervention to fill the gaps? By the end, you'll gain a nuanced understanding of how GPT-5 is reshaping the coding landscape—and why its imperfections are just as revealing as its breakthroughs. Sometimes, the most compelling innovations are the ones that leave room for us to imagine what's next. ChatGPT 5 AI Overview Advanced Coding Capabilities GPT-5 demonstrates remarkable proficiency in coding, capable of producing professional-grade outputs and addressing complex programming challenges. Its ability to generate functional code for diverse applications makes it a valuable resource for developers. For example, GPT-5 can create websites with advanced features, such as: Dark and light mode toggles Animations Responsive designs Beyond web development, GPT-5 excels in simulating algorithms and solving technical problems. For instance, when tasked with creating a sorting algorithm, it can produce functional code accompanied by detailed comments explaining its logic. However, achieving optimal results requires precise and well-structured prompts. Ambiguous or incomplete instructions often lead to errors or outputs that require further debugging and refinement. Despite its strengths, GPT-5 occasionally overlooks edge cases or introduces subtle bugs. This highlights the importance of user oversight and iterative testing to ensure the reliability of its outputs. Developers must remain actively involved in reviewing and refining the code generated by GPT-5 to achieve the desired level of accuracy and functionality. Multimodal and Visual Generation Features One of GPT-5's most notable advancements lies in its multimodal capabilities, allowing it to process and generate both text and images. This feature represents a significant leap forward compared to earlier iterations. Users can provide visual inputs, such as diagrams, sketches, or images, and receive outputs that include refined visuals or detailed textual explanations. The quality of GPT-5's visual outputs is significantly improved, making it a valuable tool for tasks such as: Image generation Diagram refinement Visual data interpretation For instance, you can input a rough sketch, and GPT-5 can refine it into a polished diagram or provide a comprehensive explanation of its components. However, the mechanisms behind its image generation remain opaque, and it occasionally struggles with rendering highly complex or abstract visuals. These limitations suggest that while GPT-5's multimodal capabilities are impressive, there is still room for further development to enhance its consistency and reliability in visual tasks. GPT-5 Coding Capabilities Tested : How AI is Transforming Programming Watch this video on YouTube. Expand your understanding of GPT-5 coding capabilities with additional resources from our extensive library of articles. Enhanced Reasoning and Problem-Solving GPT-5 exhibits significant improvements in reasoning and problem-solving, making it a valuable tool for tackling complex challenges. It can solve advanced mathematical problems, including Olympiad-level questions, and provide step-by-step solutions. This capability is particularly beneficial for educators, students, and professionals seeking detailed explanations of intricate concepts. In addition to mathematics, GPT-5 excels in analyzing data, identifying patterns, and proposing algorithm-based solutions. Its reasoning capabilities extend to logical problem-solving scenarios, where it can break down complex issues into manageable steps. For example, when presented with a challenging logical puzzle, GPT-5 can outline potential solutions and explain its reasoning process. However, GPT-5 is not without its limitations. It struggles with nuanced or unconventional problems, such as modified puzzles or ambiguous prompts. Additionally, its reasoning performance can vary depending on the effort setting (low, medium, or high), which determines the depth of its analysis. This variability underscores the importance of user input and oversight when relying on GPT-5 for critical tasks. While it offers valuable insights, it is not infallible and may require additional refinement to achieve optimal results. Limitations and Challenges Despite its advancements, GPT-5 is not immune to challenges. Errors in coding, reasoning, and visual generation can occur, particularly when dealing with complex or unconventional tasks. These limitations highlight the need for iterative testing and user intervention to ensure accuracy and reliability. One of the most significant challenges with GPT-5 is its reliance on clear and detailed prompts. Ambiguous or incomplete instructions often result in suboptimal outputs, requiring users to refine their queries to achieve better results. This dependency on precise input underscores the model's lack of adaptability in certain scenarios, particularly when compared to human problem-solving capabilities. Additionally, while GPT-5's multimodal features represent a significant step forward, its performance in generating and interpreting visuals is not yet flawless. Complex or abstract visual tasks can reveal inconsistencies in its outputs, indicating areas where further refinement is needed. These challenges serve as a reminder that while GPT-5 is a powerful tool, it is not a substitute for human expertise and judgment. Comparison with Previous Models When compared to GPT-4 and other earlier models, GPT-5 demonstrates clear advancements in coding, visualization, and problem-solving. Its ability to generate high-quality visuals and solve intricate problems positions it as a more versatile and capable tool. For example, GPT-5's multimodal capabilities allow it to process and interpret images in ways that were not possible with GPT-4, making it a valuable resource for tasks that require both textual and visual inputs. However, GPT-5 is not a leap toward artificial general intelligence (AGI). While it excels in specific areas, its reasoning and adaptability remain limited in certain contexts. For instance, it struggles with tasks that require a deep understanding of abstract concepts or highly nuanced reasoning. These limitations highlight the gap between GPT-5's capabilities and the broader flexibility associated with AGI. Community Feedback and Future Prospects The initial reception of GPT-5 has been largely positive, with users praising its advancements in coding, reasoning, and multimodal functionality. However, broader community feedback is essential for a comprehensive evaluation of its capabilities and limitations. As more users explore its features, their insights will play a crucial role in identifying areas for improvement and guiding future development. Looking ahead, GPT-5's advancements pave the way for further innovations in artificial intelligence. Its ability to generate professional-grade code, interpret visual data, and solve complex problems demonstrates its potential to transform various industries. However, its limitations also serve as a reminder of the challenges that remain in achieving more generalized and adaptable intelligence. By addressing these challenges, future iterations of GPT could move closer to realizing the vision of a truly versatile and intelligent AI system. Media Credit: Prompt Engineering Filed Under: AI, Technology News, Top News Latest Geeky Gadgets Deals Disclosure: Some of our articles include affiliate links. 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Metro
2 hours ago
- Metro
Here's why saying 'please' and 'thank you' costs 158,000,000 bottles of water
'I wonder how much money OpenAI has lost in electricity costs from people saying 'please' and 'thank you' to their models.' This is a question that someone recently posed on X about ChatGPT, OpenAI's virtual assistant powered by artificial intelligence (AI). And the answer is 'tens of millions of dollars', according to OpenAI chief executive Sam Altman. tens of millions of dollars well spent–you never know — Sam Altman (@sama) April 16, 2025 'Please' and 'thank you' are about as British as you can get. Eight in 10 Britons are friendly to AI chatbots. But being polite to AI comes at a cost – and not just financially. Every time you ask ChatGPT to write an email, rip apart your Instagram profile or plan your monthly budget, it uses energy. And this bot's electricity bills are an estimated 40million kilowatt-hours every day. That could charge 8million phones, according to Business Energy UK. Data centres – the engine rooms of AI – use water to stay cool. At least 39.16million gallons a day, to be precise. That's enough water to fill 978,000 baths or flush a toilet 24million times. ChatGPT is an example of generative AI – tech that can make content like text and images. It can do this because it's a large language model, a neural network that learns by analysing data from across the internet. This requires staggering amounts of power to pull off, Morten Goodwin, a professor at the University of Agder, Norway, told Metro 'Data must be transmitted, processed, and stored, whether the message is a complex request or a simple 'thank you',' the chief scientist at AI Experts said. 'The same is true for a Google search, an email, or a Teams meeting. You could even argue that humans saying 'thank you' to each other also requires energy, albeit a very small amount.' Companies try to meet AI's insatiable hunger by using planet-warming fossil fuels, Dr Daniel Farrelly, principal lecturer in psychology at the University of Worcester, told Metro. 'All online activity has a carbon footprint, from using AI chatbots right down to sending text messages,' he said. 'Although these single effects can often be small, they occur millions – billions – of times a day across the world, so the environmental impact from these, in total, can be considerable. 'Combine this with the fact that these costs are invisible to us (compared to, say, the vapour trail we can see in the sky from the fuel that aeroplanes burn), it makes the potential impact on the environment of online activity a real issue.' When it comes to chatbots, flattery will get you nowhere. Polite prompts have a 'negligible' effect on how well AI performs, a study found. Speaking to Metro, co-author Neil Johnson, a professor of physics at George Washington University, said: 'Are you nice to your toaster? We don't put birthday wrapping around the bread slice to make it look nicer. 'Likewise, being nice to AI adds extra 'packing' words that can confuse it, and cost you and the company money – particularly if you are paying for your prompts to it.' Saying 'please' and 'thank you' adds to an AI's electricity bill because of how AI 'thinks', Robert Blackwell, a senior research associate at the Alan Turing Institute, explained to Metro. 'When chatting with an AI, words are tokenised – split into smaller pieces – before being processed,' he said. 'The more tokens or words used, the higher the cost for the companies running these models. 'Newer reasoning models use even more tokens as they try to justify and check their answers.' There are some reasons to be kind to AI, though. A growing amount of research suggests that how we treat AI reflects how we treat one another. Goodwin, who is also deputy director at the Centre for Artificial Intelligence Research, said that language models learn from the people who use them. 'If you are polite everywhere, even to chatbots, the norm becomes to be polite,' he said. A big draw to AI is how it can carry out tasks to an almost human-level proficiency. That's a lot for the average person to get their head around. So we anthropomorphise AI – project human attributes onto objects – to make sense of 'something that feels human but isn't', Luise Freese, who runs the tech blog, M356 Princess, told Metro. Terminator is partly to blame, she joked, as AI is seen as exciting as it is scary. 'The idea of robot overlords is burned into pop culture. So we joke and humanise these systems; it's a coping mechanism,' the Microsoft MVP winner for M365 development and Business Applications told Metro. More Trending 'But that's where it gets tricky: these tools don't have thoughts or feelings; they just mirror patterns. When we treat them like friends, we risk forgetting that.' Many chatbots make things up, something that happens so frequently that researchers had to make a word for it, 'hallucinating'. Medical experts have found that it comes up with phoney health studies, while mental health professionals worry about people turning to the bots for therapy. Some people place a lot of faith in AI, believing it has the same level of understanding and empathy as a human, when it does not, Ana Valdivia, a departmental research lecturer in AI at Oxford, told Metro. 'The tendency to humanise AI isn't merely innocent curiosity,' she said, 'it is a byproduct of how these technologies are marketed and framed, often encouraging emotional dependency or misplaced trust in systems that are, at their core, mechanical.' Get in touch with our news team by emailing us at webnews@ For more stories like this, check our news page. MORE: Everything you need to know about the latest ChatGPT update MORE: Creepy AI pics of Paul McCartney visiting Phil Collins in hospital go viral after star issued health update MORE: We chatted with the UK's first AI MP and it said something very unexpected


Daily Record
3 hours ago
- Daily Record
Chat GPT reaches 'PhD level' with new features but could it replace humans?
The latest version of artificial intelligence (AI) chatbot, GPT-5, has dropped, and it can provide "PhD-level expertise" Many Brits may dabble in ChatGPT in their daily lives. The AI assistant can be used to do things like draw up a travel itinerary for a summer holiday or to give advice on the best way to cook a steak ahead of a big meal at home. But could the platform ever replace humans? ChatGPT is a conversational AI chatbot developed by OpenAI that can engage in conversations, generate human-like text, and perform tasks like writing essays and maths equations. The chatbot, then, is already very human-like, and developers have waded in on whether it could encroach on, or indeed override, our own day-to-day capabilities with the first major update it's had in years in the form of GPT-5. GPT‑5 is a "significant leap in intelligence over all our previous models," its maker OpenAI said. It is a "unified system that knows when to respond quickly and when to think longer to provide expert-level responses." Dubbed "smarter, faster, and more useful," GPT-5's makers say it can provide PhD-level expertise in areas such as coding and writing. "GPT-5 is really the first time that I think one of our mainline models has felt like you can ask a legitimate expert, a PhD-level expert, anything," OpenAI chief executive Sam Altman said at a press briefing. GPT-5 can create software in its entirety and demonstrate better reasoning capabilities - with answers that show workings, logic and inference. The company claims it has been trained to be more honest, provide users with more accurate responses and says that, overall, it feels more human. "GPT-3 sort of felt to me like talking to a high school student... 4 felt like you're kind of talking to a college student," he said in a briefing ahead of Thursday's launch. "GPT-5 is the first time that it really feels like talking to an expert in any topic, like a PhD-level expert." However, Altman has stressed that the system is still a long way from replacing humans. For instance, GPT‑5 is the "best model yet" for health-related questions, "empowering users to be informed about and advocate for their health" - but makers insist it "does not replace a medical professional". "Think of it as a partner to help you understand results, ask the right questions in the time you have with providers, and weigh options as you make decisions," they said. What's more, OpenAI is making changes to promote a healthier relationship between users and ChatGPT. In a blog post it said: "AI can feel more responsive and personal than prior technologies, especially for vulnerable individuals experiencing mental or emotional distress." Join the Daily Record WhatsApp community! Get the latest news sent straight to your messages by joining our WhatsApp community today. You'll receive daily updates on breaking news as well as the top headlines across Scotland. No one will be able to see who is signed up and no one can send messages except the Daily Record team. All you have to do is click here if you're on mobile, select 'Join Community' and you're in! If you're on a desktop, simply scan the QR code above with your phone and click 'Join Community'. We also treat our community members to special offers, promotions, and adverts from us and our partners. If you don't like our community, you can check out any time you like. To leave our community click on the name at the top of your screen and choose 'exit group'. If you're curious, you can read our Privacy Notice. It said it would not give a definitive answer to questions such as, "Should I break up with my boyfriend?" Instead, it would "help you think it through - asking questions, weighing pros and cons". In the same vein, Prof Carissa Véliz of the Institute for Ethics in AI told the BBC that GPT-5 can only copy - rather than truly emulate - human reasoning abilities, and that the hype is more to do with making money. "These systems... haven't been able to be really profitable," she said. "There is a fear that we need to keep up the hype, or else the bubble might burst, and so it might be that it's mostly marketing." Features users get access to without paying The difference between free and paid access to GPT‑5 is usage volume. At some point on the free tier, your access to GPT-5 will reach the usage limit, and then you'll be kicked back to GPT-5 mini. Plus subscribers will get significantly higher usage volume before that happens. Writing improvements Nearly three years ago, ChatGPT introduced the world to generative AI, dazzling users with its ability to write humanlike prose and poetry. GPT-5's prose has a lot more rhythm and beat to it, according to TechRada r. "These improved writing capabilities mean that ChatGPT is better at helping you with everyday tasks like drafting and editing reports, emails, and memos," according to OpenAI. ChatGPT Voice With the free tier, you still only get limited access to ChatGPT-5's voice mode (along with file uploads, image creation, and data analysis), but you should get more access per day now than you did before. What used to be called 'Advanced voice mode' is now called 'ChatGPT voice'. OpenAI says that 'Standard Voice Mode retires on September 9, 2025, unifying all users on ChatGPT Voice'. ChatGPT Voice is better than before, with more natural-sounding conversations. Hit the voice button on the mobile app for ChatGPT to give it a go right now. New highlight colours You can now add accent colours to your chats in the Settings. These apply to elements in ChatGPT-5 like conversation bubbles and highlighted text. This is the first time colour has been used in the ChatGPT interface. ChatGPT-5 has better memory, reduces hallucinations, and as a free user, you'll get all that, too. The new version will be available to all 700 million users of ChatGPT, its makers OpenAI said.