OpenAI's latest step towards advanced artificial intelligence
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The Guardian
3 hours ago
- The Guardian
‘It's missing something': AGI, superintelligence and a race for the future
A significant step forward but not a leap over the finish line. That was how Sam Altman, chief executive of OpenAI, described the latest upgrade to ChatGPT this week. The race Altman was referring to was artificial general intelligence (AGI), a theoretical state of AI where, by OpenAI's definition, a highly autonomous system is able to do a human's job. Describing the new GPT-5 model, which will power ChatGPT, as a 'significant step on the path to AGI', he nonetheless added a hefty caveat. '[It is] missing something quite important, many things quite important,' said Altman, such as the model's inability to 'continuously learn' even after its launch. In other words, these systems are impressive but they have yet to crack the autonomy that would allow them to do a full-time job. OpenAI's competitors, also flush with billions of dollars to lavish on the same goal, are straining for the tape too. Last month, Mark Zuckerberg, chief executive of Facebook parent Meta, said development of superintelligence – another theoretical state of AI where a system far exceeds human cognitive abilities – is 'now in sight'. Google's AI unit on Tuesday outlined its next step to AGI by announcing an unreleased model that trains AIs to interact with a convincing simulation of the real world, while Anthropic, another company making significant advances, announced an upgrade to its Claude Opus 4 model. So where does this leave the race to AGI and superintelligence? Benedict Evans, a tech analyst, says the race towards a theoretical state of AI is taking place against a backdrop of scientific uncertainty – despite the intellectual and financial investment in the quest. Describing AGI as a 'thought experiment as much as it is a technology', he says: 'We don't really have a theoretical model of why generative AI models work so well and what would have to happen for them to get to this state of AGI.' He adds: 'It's like saying 'we're building the Apollo programme but we don't actually know how gravity works or how far away the moon is, or how a rocket works, but if we keep on making the rocket bigger maybe we'll get there'. 'To use the term of the moment, it's very vibes based. All of these AI scientists are really just telling us what their personal vibes are on whether we'll reach this theoretical state – but they don't know. And that's what sensible experts say too.' However, Aaron Rosenberg, a partner at venture capital firm Radical Ventures – whose investments include leading AI firm Cohere – and former head of strategy and operations at Google's AI unit DeepMind, says a more limited definition of AGI could be achieved around the end of the decade. 'If you define AGI more narrowly as at least 80th percentile human-level performance in 80% of economically relevant digital tasks, then I think that's within reach in the next five years,' he says. Matt Murphy, a partner at VC firm Menlo Ventures, says the definition of AGI is a 'moving target'. He adds: 'I'd say the race will continue to play out for years to come and that definition will keep evolving and the bar being raised.' Even without AGI, the generative AI systems in circulation are making money. The New York Times reported this month that OpenAI's annual recurring revenue has reached $13bn (£10bn), up from $10bn earlier in the summer, and could pass $20bn by the year end. Meanwhile, OpenAI is reportedly in talks about a sale of shares held by current and former employees that would value it at about $500bn, exceeding the price tag for Elon Musk's SpaceX. Some experts view statements about superintelligent systems as creating unrealistic expectations, while distracting from more immediate concerns such as making sure that systems being deployed now are reliable, transparent and free of bias. 'The rush to claim 'superintelligence' among the major tech companies reflects more about competitive positioning than actual technical breakthroughs,' says David Bader, director of the institute for data science at the New Jersey Institute of Technology. Sign up to TechScape A weekly dive in to how technology is shaping our lives after newsletter promotion 'We need to distinguish between genuine advances and marketing narratives designed to attract talent and investment. From a technical standpoint, we're seeing impressive improvements in specific capabilities – better reasoning, more sophisticated planning, enhanced multimodal understanding. 'But superintelligence, properly defined, would represent systems that exceed human performance across virtually all cognitive domains. We're nowhere near that threshold.' Nonetheless, the major US tech firms will keep trying to build systems that match or exceed human intelligence at most tasks. Google's parent Alphabet, Meta, Microsoft and Amazon alone will spend nearly $400bn this year on AI, according to the Wall Street Journal, comfortably more than EU members' defence spend. Rosenberg acknowledges he is a former Google DeepMind employee but says the company has big advantages in data, hardware, infrastructure and an array of products to hone the technology, from search to maps and YouTube. But advantages can be slim. 'On the frontier, as soon as an innovation emerges, everyone else is quick to adopt it. It's hard to gain a huge gap right now,' he says. It is also a global race, or rather a contest, that includes China. DeepSeek came from nowhere this year to announce the DeepSeek R1 model, boasting of 'powerful and intriguing reasoning behaviours' comparable with OpenAI's best work. Major companies looking to integrate AI into their operations have taken note. Saudi Aramco, the world's largest oil company, uses DeepSeek's AI technology in its main datacentre and said it was 'really making a big difference' to its IT systems and was making the company more efficient. According to Artificial Analysis, a company that ranks AI models, six of the top 20 on its leaderboard – which ranks models according to a range of metrics including intelligence, price and speed – are Chinese. The six models are developed by DeepSeek, Zhipu AI, Alibaba and MiniMax. On the leaderboard for video generation models, six of the top 10 – including the current leader, ByteDance's Seedance – are also Chinese. Microsoft's president, Brad Smith, whose company has barred use of DeepSeek, told a US senate hearing in May that getting your AI model adopted globally was a key factor in determining which country wins the AI race. 'The number one factor that will define whether the US or China wins this race is whose technology is most broadly adopted in the rest of the world,' he said, adding that the lesson from Huawei and 5G was that whoever establishes leadership in a market is 'difficult to supplant'. It means that, arguments over the feasibility of superintelligent systems aside, vast amounts of money and talent are being poured into this race in the world's two largest economies – and tech firms will keep running. 'If you look back five years ago to 2020 it was almost blasphemous to say AGI was on the horizon. It was crazy to say that. Now it seems increasingly consensus to say we are on that path,' says Rosenberg.
Daily Mirror
5 hours ago
- Daily Mirror
Everyone with an iPhone or android told don't click' - it could cost you
Scammers are sending messages to smartphones and some are so simple they just begin with 'Hello' - but there is a way to avoid being caught out Fraudsters are constantly seeking fresh ways to trick us, and it seems the latest threat is emerging through ordinary text messages. Research from Malwarebytes' security experts shows a dramatic rise in fake chats being sent to smartphones. Some simply start with a basic 'Hello', whilst others suggest the cybercriminal already knows you. "Hi, I noticed your contact information is saved in my contacts, can you remind me where we talked before," reads one message spotted by Malwarebytes. The aim behind these latest messages is to build a connection and gather personal information, which can then be used to steal data, reports the Express. "As soon as you reply, the scammer will initiate a friendly conversation. Their end goal will be to gain your trust and develop the relationship into a costly romance or investment scam," Malwarebytes explained. Whilst it might seem unbelievable, these cons prove surprisingly successful. The infamous "Hi mum" trick - which poses as a family member in trouble - has led to hundreds of thousands of pounds being handed over to digital crooks across the UK alone. It's now crucial that anyone owning an iPhone or Android device stays alert, avoids replying, and steers clear of clicking any links sent by unknown contacts. Malwarebytes explained: "Responding confirms your number is active. It flags you as someone who reads texts and might engage and the scammer may sell or share your number." If you receive a suspicious message, here's some simple advice to follow:.
Geeky Gadgets
6 hours ago
- Geeky Gadgets
ChatGPT 5 Review : The AI Revolution We Hoped For or a Step Backward?
What if the most anticipated AI model of the year wasn't quite what you expected? OpenAI's ChatGPT 5 has arrived in a variety of different AI models, promising new advancements in technical problem-solving and software creation, yet sparking fierce debates about its broader impact and limitations. On one hand, it features an innovative routing system designed to optimize task performance, and on the other, it faces criticism for inconsistent results and its failure to significantly advance toward Artificial General Intelligence (AGI). This tension between potential and reality has left many wondering: is GPT-5 a step forward or a signal that scaling AI models is reaching its limits? In the video below, Wes Roth unpack ChatGPT 5's AI models and the key strengths and weaknesses of each, exploring its impressive capabilities in coding and tool development alongside its struggles with reasoning and basic math. You'll also discover how its unique routing system works—and why it has sparked frustration among users. Beyond the technical details, we'll examine the broader implications of GPT-5's performance for the future of AI development and innovation. Whether you're a developer, a tech enthusiast, or simply curious about the state of AI, this exploration will leave you with a clearer understanding of where GPT-5 shines, where it stumbles, and what it means for the next chapter of artificial intelligence. ChatGPT 5: Strengths and Challenges Polarized Reception The reception of GPT-5 has been notably divided, reflecting both its potential and its shortcomings. Strengths: GPT-5 demonstrates enhanced capabilities in generating software applications and solving complex, technical tasks, making it a valuable tool for developers. GPT-5 demonstrates enhanced capabilities in generating software applications and solving complex, technical tasks, making it a valuable tool for developers. Criticisms: Many experts argue that ChatGPT 5 represents only an incremental improvement over its predecessor, falling short of the fantastic progress expected in the pursuit of AGI. This polarized response has sparked debates about whether the current approach of scaling AI models is nearing its limits, raising questions about the future direction of AI research and development. Innovative Routing System: Promise and Pitfalls One of GPT-5's most distinctive features is its innovative routing system, designed to optimize task allocation by assigning specific tasks to specialized sub-models based on their complexity and computational requirements. This system aims to enhance both efficiency and performance, offering a more dynamic approach to handling diverse tasks. Despite its promise, the routing system has encountered significant challenges: Inconsistent task allocation: The auto-switcher, responsible for selecting the appropriate sub-model, has been criticized for producing suboptimal outputs in certain scenarios. The auto-switcher, responsible for selecting the appropriate sub-model, has been criticized for producing suboptimal outputs in certain scenarios. Unpredictable results: Users have reported frustration with the system's inability to consistently deliver reliable outcomes, particularly for critical or high-stakes tasks. OpenAI has acknowledged these issues and is actively working to improve the system's transparency and reliability. Enhancements in this area could significantly bolster user confidence and the model's overall utility. OpenAI GPT-5 Overview & Performance Tested Watch this video on YouTube. Here is a selection of other guides from our extensive library of content you may find of interest on GPT-5. Strengths: Coding and Tool Creation GPT-5 excels in domains requiring technical expertise, particularly in coding and tool development. Its strengths include: Software generation: The model can create functional software applications, streamlining development processes for programmers. The model can create functional software applications, streamlining development processes for programmers. Problem-solving: It effectively addresses complex challenges through code-based solutions, making it a powerful resource for technical industries. It effectively addresses complex challenges through code-based solutions, making it a powerful resource for technical industries. Integration capabilities: ChatGPT 5 demonstrates proficiency in following instructions and integrating seamlessly with external tools, enhancing its versatility. These capabilities position GPT-5 as a valuable asset for developers, businesses, and industries focused on automation and programming. Its ability to handle intricate tasks with precision underscores its potential to drive innovation in technical fields. Weaknesses: Reasoning and Basic Math Despite its technical strengths, GPT-5 exhibits notable weaknesses in fundamental areas such as reasoning and basic mathematics. These limitations include: Logical reasoning: The model struggles with tasks requiring deductive reasoning or nuanced problem-solving, often producing inconsistent or incorrect results. The model struggles with tasks requiring deductive reasoning or nuanced problem-solving, often producing inconsistent or incorrect results. Numerical accuracy: Simple mathematical calculations can pose challenges, particularly when the default routing system is relied upon. While premium features like 'max reasoning effort' can enhance performance in these areas, their accessibility is limited, potentially restricting the model's broader usability. Addressing these weaknesses will be critical for expanding GPT-5's applicability across a wider range of tasks. Transparency and User Feedback A recurring concern among GPT-5 users is the lack of transparency in its routing system. The inability to predict or control how tasks are assigned to sub-models has led to frustration and diminished trust in the model's reliability. In response, OpenAI has committed to several improvements: Enhanced transparency: Efforts are underway to provide users with greater insight into the task allocation process, allowing more informed interactions with the model. Efforts are underway to provide users with greater insight into the task allocation process, allowing more informed interactions with the model. Refined decision-making: OpenAI is working to improve the consistency and accuracy of the routing system's decision-making mechanisms. These initiatives aim to address user concerns and establish a stronger foundation of trust, making sure that GPT-5 can deliver more predictable and reliable performance across diverse applications. Broader Implications for AI Development GPT-5's mixed performance has sparked broader discussions about the trajectory of AI development. While its advancements in specific areas are undeniable, its limitations highlight the challenges of achieving significant breakthroughs through scaling alone. Key insights include: Need for innovation: ChatGPT 5 underscores the importance of exploring novel approaches to AI design, moving beyond incremental improvements to achieve fantastic progress. ChatGPT 5 underscores the importance of exploring novel approaches to AI design, moving beyond incremental improvements to achieve fantastic progress. Balancing strategies: A combination of scaling and innovative methodologies will be essential for overcoming current limitations and advancing AI capabilities. These considerations reflect the complexity of pushing AI systems beyond their current boundaries, emphasizing the need for a more holistic approach to development. Future Outlook OpenAI has expressed a commitment to addressing ChatGPT 5's shortcomings while building on its strengths. The model's proficiency in coding and tool creation suggests promising applications across various industries, from software development to automation. However, its struggles with reasoning and basic math remain critical areas for improvement. As the AI community continues to explore new methods and technologies, GPT-5 serves as both a milestone and a reminder of the challenges inherent in advancing artificial intelligence. Achieving AGI and other ambitious goals will require not only scaling existing models but also rethinking fundamental design principles to unlock new possibilities. Media Credit: Wes Roth 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.
