Latest news with #OpenAi
Metro
3 days ago
- Metro
Everything you need to know about the latest ChatGPT update
ChatGPT has had the robotic equivalent of a makeover – but experts aren't exactly impressed. OpenAI unveiled a new flagship artificial intelligence (AI) model, GPT-5, yesterday. The upgrade is available to all 700million users for free, though paid subscribers have fewer usage limits. 'Our smartest, fastest, most useful model yet, with built-in thinking that puts expert-level intelligence in everyone's hands,' the start-up said. The virtual assistant is now powered by a so-called reasoning model, which spends more time 'thinking' through a problem. OpenAI says the bot is far faster than before, is better at coding and is now more customizable. Users can change the chat colours and choose from preset 'personalities', like 'cynic', 'listener', and 'robot'. Voice interactions have also been improved, and pro users will will soon be able to connect Gmail, Calendar and Contacts directly to ChatGPT. To show off what this means, OpenAi compared GPT-5 to its previous model, GBT-4o, when it comes to writing poetry or a wedding toast. It can also build simple software apps, such as video games or pixel art-makers, from short text prompts. Health experts and officials have long cautioned people against using ChatGPT to ask medical questions, with the bot often citing fake scientific sources and giving shoddy diagnoses. OpenAI claims the new bot is its 'best model yet for health-related questions', though it stressed it does not replace health professionals. CEO Sam Altman said: 'GPT-5 is the first time that it really feels like talking to an expert in any topic, like a PhD-level expert.' Chatbots are increasingly used by people for everyday tasks, like writing out emails they meant to send two weeks ago or asking for advice. But this technology, called generative AI, has never been the best at ensuring that the information it provides is true. It happens so frequently that researchers have a word for it – hallucinating. The chatbots are called large language models (LLM) that learn by analysing texts on the internet to see how humans put words together. But what it can't learn is how to tell if something is true or not – as they try to guess the next word in a sequence of words, they sometimes generate phoney information as their patterns get muddled up with fake news. So OpenAI engineers carried out two tests to see how often ChatGPT hallucinated. The first, called Long Fact, involved asking the bot to answer questions about concepts or objects. They then asked it to make biographies of public figures, an examination called FActScore. OpenAI said that for both, GPT-5 makes about 45% fewer factual errors than its predecessor, GPT-40, and makes things up six times less than o3. A system card, which describes the algorithm's capabilities, says: 'We've taken steps to reduce GPT-5-thinking's propensity to deceive, cheat, or hack problems, though our mitigations are not perfect and more research is needed. 'In particular, we've trained the model to fail gracefully when posed with tasks that it cannot solve.' While OpenAI said this is a 'major leap' for the system, Michael Rovatsos, an AI professor at the University of Edinburgh, wasn't too impressed. He said: 'While it's too soon to tell, it sounds like no significant progress has been made on the core AI model, but instead, OpenAI is focusing on making it more useful by better controlling how it behaves through additional 'wrapper' technology. More Trending 'As an analogy, this would mean that what matters is not whether you have the best nuclear reactor, but whether you can actually build a safe and efficient power plant around it.' Edoardo Ponti, an assistant professor in Natural Language Processing at the Scottish university, said the upgrade is 'far from dramatic'. 'The presentation was partly weakened by flaws in the result reports and a hallucinated demo,' Ponti said. 'Moreover, it left a bit unclear where GPT-5 stands with respect to models from OpenAI's competitors.' Get in touch with our news team by emailing us at webnews@ For more stories like this, check our news page. 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 MORE: Sir Rod Stewart's 'tacky' AI tribute comes far too soon after Ozzy Osbourne's death
Sydney Morning Herald
5 days ago
- Business
- Sydney Morning Herald
Bubble fears: The multitrillion-dollar threat hanging over markets
Morgan Stanley research has said global data centre capacity will expand by 600 per cent by 2030. It has a lower estimate of what that will cost – $US3 trillion. This year the hyperscalers are expected to invest about $US320 billion, compared to $US200 billion last year. By 2028 they will be investing more than $US300 billion in data centres and AI chips. Whether it is $US3 trillion or $US6.7 trillion, the scale of investment is staggering and is far out-running the revenues being generated. Last year those hyperscalers generated only $US45 billion of AI-related revenue. By 2028, Morgan Stanley said, they might have revenues exceeding $US1 trillion. That qualification – the 'might' – is significant. Companies are pouring ever-increasing amounts of their shareholders' funds into AI, based on very optimistic expectations of its potential revenues and margins and the development of applications that don't currently exist. Fierce competition and a desire to be one of those left standing and dominating the sector when the inevitable clean out occurs is fuelling an investment binge even though, at this admittedly very early stage of the sector's development, the massive numbers of AI users isn't translating into a material base of paying users. Loading The entity that sparked the boom, Open AI's ChatGPT, for instance, has about 700 million weekly active users and that user base is growing at a dramatic rate. Its user base is roughly four times its size last year. It has, however, only about 5 million paying business users and, while that paying user base is also growing rapidly, the conversion rate from free to paying users is less than impressive for a business valued in its most recent funding rounds at about $US300 billion. By the end of this year OpenAi is expected to be generating revenue at an annualised run-rate of about $US20 billion. Earlier this year the group agreed a deal with Oracle under which it will pay $US30 billion a year to lease 4.5 gigawatts of data centre computing power and another with Nvidia to buy $US40 billion of its most powerful chips. It is a cash and capital-devouring sector, on an unprecedented scale. Most of the big players in AI would share broadly similar features with OpenAI, although the established mega techs like Amazon, Microsoft, Google and Meta Platforms may have the opportunity of commercialising AI within their existing customer base. These massive investments are being made – the mega-techs are spending around $US100 billion each this year, with plans to spend more next year and beyond – without any firm understanding of the eventual demand or the returns from the investments. That hasn't phased investors, who are ploughing funds into the sector at ever more dizzy valuations. Elon Musk's xAI, for instance, first raised money, at a $US18 billion valuation, in March last year. It raised more in December, at a $US50 billion valuation. By March this year, another raising saw its value increased to $US80 billion and, more recently, it was looking to raise funds at a valuation of up to $US200 billion. Somehow, having raised about $US30 billion or so of debt and equity for an entity that is expected to burn about $US13 billion of cash this year and which doesn't expect, if everything goes according to its plans, to be cashflow-positive before 2029, people are valuing it, with real money, at $US200 billion? That's what you'd call a very high-risk investment, particularly when you take into account xAI's competitors in this race of AI supremacy, most of whom have massive cash flows from their existing operations to self-fund their AI plays. xAi's valuations are effectively a capitalisation of Musk's reputation. Is the AI boom a bubble? We'll only know if it bursts. There are a couple of other features of the sector that provide question marks. One is that, to date, the generative AI sector is overly-reliant on expensive Nvidia chips, which are upgraded regularly and are therefore a recurring and very substantial cost. The other is that the multitude of data centres that are being built, and those that will have to be built, to power the rollout of AI require huge amounts of power themselves. The International Energy Agency has estimated that electricity demand from data centres will more than double by 2030 and that by that date the US economy will consume more electricity for data processing than it now does for the manufacturing of all energy-intensive goods, including aluminium, steel, cement and chemicals. Whether it is even possible for the power requirements of the data centres to be met within the timeframes AI firms need them and at affordable prices is a significant question, particularly in the US, where Joe Biden's push for a surge in renewables has been aborted by Donald Trump. None of this is meant to question the potential of AI to ignite a new industrial revolution, transforming work and society. Not all those companies and their investors risking such extraordinary amounts of capital in the hope of an eventual commensurately large payoff, will however, be successful. More likely, as occurred in the early 2000s, a handful of very large and dominant companies will emerge, with the rest (and their shareholders' funds) disappearing. Loading There is a risk – as occurred with telcos and tech stock in the late 1990s – that, at this point in its development, the sector is being over-hyped, attracting participants who won't survive and being attributed valuations that will eventually prove ephemeral. Is the AI boom a bubble? We'll only know if it bursts.
The Age
5 days ago
- Business
- The Age
Bubble fears: The multitrillion-dollar threat hanging over markets
Morgan Stanley research has said global data centre capacity will expand by 600 per cent by 2030. It has a lower estimate of what that will cost – $US3 trillion. This year the hyperscalers are expected to invest about $US320 billion, compared to $US200 billion last year. By 2028 they will be investing more than $US300 billion in data centres and AI chips. Whether it is $US3 trillion or $US6.7 trillion, the scale of investment is staggering and is far out-running the revenues being generated. Last year those hyperscalers generated only $US45 billion of AI-related revenue. By 2028, Morgan Stanley said, they might have revenues exceeding $US1 trillion. That qualification – the 'might' – is significant. Companies are pouring ever-increasing amounts of their shareholders' funds into AI, based on very optimistic expectations of its potential revenues and margins and the development of applications that don't currently exist. Fierce competition and a desire to be one of those left standing and dominating the sector when the inevitable clean out occurs is fuelling an investment binge even though, at this admittedly very early stage of the sector's development, the massive numbers of AI users isn't translating into a material base of paying users. Loading The entity that sparked the boom, Open AI's ChatGPT, for instance, has about 700 million weekly active users and that user base is growing at a dramatic rate. Its user base is roughly four times its size last year. It has, however, only about 5 million paying business users and, while that paying user base is also growing rapidly, the conversion rate from free to paying users is less than impressive for a business valued in its most recent funding rounds at about $US300 billion. By the end of this year OpenAi is expected to be generating revenue at an annualised run-rate of about $US20 billion. Earlier this year the group agreed a deal with Oracle under which it will pay $US30 billion a year to lease 4.5 gigawatts of data centre computing power and another with Nvidia to buy $US40 billion of its most powerful chips. It is a cash and capital-devouring sector, on an unprecedented scale. Most of the big players in AI would share broadly similar features with OpenAI, although the established mega techs like Amazon, Microsoft, Google and Meta Platforms may have the opportunity of commercialising AI within their existing customer base. These massive investments are being made – the mega-techs are spending around $US100 billion each this year, with plans to spend more next year and beyond – without any firm understanding of the eventual demand or the returns from the investments. That hasn't phased investors, who are ploughing funds into the sector at ever more dizzy valuations. Elon Musk's xAI, for instance, first raised money, at a $US18 billion valuation, in March last year. It raised more in December, at a $US50 billion valuation. By March this year, another raising saw its value increased to $US80 billion and, more recently, it was looking to raise funds at a valuation of up to $US200 billion. Somehow, having raised about $US30 billion or so of debt and equity for an entity that is expected to burn about $US13 billion of cash this year and which doesn't expect, if everything goes according to its plans, to be cashflow-positive before 2029, people are valuing it, with real money, at $US200 billion? That's what you'd call a very high-risk investment, particularly when you take into account xAI's competitors in this race of AI supremacy, most of whom have massive cash flows from their existing operations to self-fund their AI plays. xAi's valuations are effectively a capitalisation of Musk's reputation. Is the AI boom a bubble? We'll only know if it bursts. There are a couple of other features of the sector that provide question marks. One is that, to date, the generative AI sector is overly-reliant on expensive Nvidia chips, which are upgraded regularly and are therefore a recurring and very substantial cost. The other is that the multitude of data centres that are being built, and those that will have to be built, to power the rollout of AI require huge amounts of power themselves. The International Energy Agency has estimated that electricity demand from data centres will more than double by 2030 and that by that date the US economy will consume more electricity for data processing than it now does for the manufacturing of all energy-intensive goods, including aluminium, steel, cement and chemicals. Whether it is even possible for the power requirements of the data centres to be met within the timeframes AI firms need them and at affordable prices is a significant question, particularly in the US, where Joe Biden's push for a surge in renewables has been aborted by Donald Trump. None of this is meant to question the potential of AI to ignite a new industrial revolution, transforming work and society. Not all those companies and their investors risking such extraordinary amounts of capital in the hope of an eventual commensurately large payoff, will however, be successful. More likely, as occurred in the early 2000s, a handful of very large and dominant companies will emerge, with the rest (and their shareholders' funds) disappearing. Loading There is a risk – as occurred with telcos and tech stock in the late 1990s – that, at this point in its development, the sector is being over-hyped, attracting participants who won't survive and being attributed valuations that will eventually prove ephemeral. Is the AI boom a bubble? We'll only know if it bursts.
USA Today
10-06-2025
- USA Today
Is ChatGPT down on Tuesday, June 10 2025? What we know so far.
Is ChatGPT down on Tuesday, June 10 2025? What we know so far. If you're waking up on Tuesday morning on June 10, 2025, you might notice ChatGPT having some issues. The answer is: it's not just you. OpenAI's product is down for users with reports from them that something's not working. And Downdetector has one of those big red charts that indicates a lot of issues. Per OpenAi's status page, "We're currently experiencing issues," with the company saying "We are continuing to investigate this issue." So fear not, hopefully this is temporary and you can get on with using the AI chatbot for whatever you use it for. Some other things to note about this on Tuesday morning: Are any other services from OpenAI down? Yes, Sora is also dealing with some issues. What's happening when you try to work on ChatGPT? Some users are saying you get a " seems to have gone wrong" message.
CNBC
22-05-2025
- Business
- CNBC
OpenAI 'IO' deal escalates Google rivalry
CNBC's Deirdre Bosa joins 'Money Movers' to discuss OpenAi's challenge to Google and Google facing scrutiny from the DOJ for its AI deal.
