Latest news with #o3Pro
Geeky Gadgets
3 days ago
- Geeky Gadgets
New OpenAI o3 Pro AI Model One-Shots Apple's Illusion of Thinking Test
What if a device could think faster than you, adapt to complex scenarios in real time, and redefine what we expect from modern technology? Enter the o3 Pro, a machine so advanced it obliterated Apple's infamous Illusion of Thinking test—a challenge designed to expose the limits of computational reasoning. While most devices falter under the weight of this rigorous evaluation, the o3 Pro didn't just pass—it dominated, delivering results that feel almost human in their precision. This isn't just another tech upgrade; it's a bold leap into the future of cognitive performance, where machines don't just process—they think. Wes Roth explores how the o3 Pro's new capabilities are setting new benchmarks in high-performance technology. From its ability to handle nuanced, resource-intensive tasks to its seamless blend of raw power and efficiency, the o3 Pro is more than a tool—it's a statement about where technology is headed. But what does its success in Apple's test really mean for professionals, researchers, and tech enthusiasts? And how does it bridge the gap between human cognition and machine intelligence? These questions are worth unpacking because the answers could reshape how we interact with the devices we rely on every day. OpenAI o3 Pro Redefines Performance Excelling in Cognitive Performance The o3 Pro's success in Apple's Illusion of Thinking test highlights its ability to handle complex tasks with remarkable precision. This test evaluates a device's capacity to process intricate computations and simulate human-like reasoning, presenting a significant challenge for any technological platform. The OpenAI o3-pro AI not only met these challenges but excelled, demonstrating its capability to adapt to nuanced scenarios and deliver consistent results. This achievement reflects its advanced processing power, positioning the o3 Pro as a leader in modern computational technology. Beyond its technical prowess, the OpenAI o3-pro's performance in this test showcases its ability to bridge the gap between human cognition and machine efficiency. Its ability to simulate reasoning processes with accuracy makes it an invaluable tool for professionals working in fields that demand high levels of computational intelligence. Innovative Capabilities The o3 Pro distinguishes itself through the seamless integration of state-of-the-art hardware and intelligent software. Its architecture is carefully designed to support multitasking, allowing it to handle demanding applications without compromising speed or accuracy. Key features that set the OpenAI o3-pro apart include: Optimized algorithms for faster and more efficient data processing Flawless execution of resource-intensive tasks, making sure smooth performance Reliable operation under heavy workloads, maintaining stability These capabilities make the o3 Pro an ideal choice for professionals, researchers, and tech enthusiasts who require tools capable of managing high-performance demands. Whether it's running simulations, analyzing large datasets, or supporting creative workflows, the o3 Pro delivers results with precision and reliability. OpenAI o3-pro One-shots Apple's Illusion of Thinking Test Watch this video on YouTube. Here are more detailed guides and articles that you may find helpful on OpenAI o3 AI models. Efficiency Without Compromise Efficiency lies at the core of the o3 Pro's design philosophy. The device is engineered to deliver maximum output while minimizing energy consumption, addressing the increasing demand for sustainable and environmentally conscious technology. Its ability to maintain consistent performance over extended periods—without overheating or experiencing lag—demonstrates its robust and thoughtful design. This focus on efficiency not only enhances the user experience but also extends the device's lifespan. By reducing energy consumption and wear on internal components, the o3 Pro offers long-term value to its users. For professionals and organizations seeking reliable, sustainable technology, the o3 Pro represents a practical and forward-thinking solution. Setting New Benchmarks The o3 Pro's exceptional performance in Apple's Illusion of Thinking test is more than a technical milestone—it signifies a shift in the broader landscape of technological innovation. By excelling in this benchmark, the o3 Pro challenges industry standards and sets a precedent for future devices to prioritize both performance and efficiency. For users, this achievement translates into access to tools that are not only powerful but also thoughtfully designed to meet the evolving demands of modern technology. The o3 Pro exemplifies how advanced engineering can deliver solutions that balance innovative capabilities with practical usability. As manufacturers take note of these advancements, the industry as a whole is likely to move toward creating devices that are both high-performing and sustainable. Media Credit: Wes Roth Filed Under: AI, Apple, 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.
Hans India
3 days ago
- Business
- Hans India
OpenAI Launches o3 Pro, Slashes o3 Model Costs by 80%, Delays Open-Source Model Release
In a major update for developers and AI users, OpenAI has rolled out its new o3 Pro model to ChatGPT Pro and Team users, marking its most advanced AI release to date. At the same time, the company has significantly lowered the cost of its standard o3 model by 80%, further widening accessibility. However, plans for releasing an open-source AI model have been pushed to later this summer. The o3 Pro model, now available through ChatGPT and OpenAI's API, replaces the older o1 Pro and brings a higher level of reasoning and accuracy, especially in areas like science, education, programming, and mathematics. OpenAI describes it as 'a version of our most intelligent model, o3, designed to think longer and provide the most reliable responses.' According to the company, the new model has shown superior performance in both internal and academic evaluations, particularly in clarity, instruction adherence, and depth of analysis. What sets o3 Pro apart is its enhanced reliability, a feature that makes it ideal for handling complex queries where precision is critical. As OpenAI notes, 'We recommend using it for challenging questions where reliability matters more than speed, and waiting a few minutes is worth the tradeoff.' Despite using the same underlying architecture as o3, the Pro version has been optimised for dependability. It includes advanced tools like Python code execution, document analysis, web browsing, visual input interpretation, and memory-based personalisation. These tools make o3 Pro more versatile, though response times are typically longer compared to o1 Pro. Notably, some capabilities like temporary chats, image generation, and the Canvas interface are not yet available in o3 Pro. OpenAI has advised users to stick with GPT-4o, o3, or o4-mini for those particular features. Enterprise and Education customers will gain access to the model in the upcoming week. In tandem with the model upgrade, OpenAI announced a dramatic cost reduction for its o3 model—from $10 to $2 per million input tokens and from $40 to $8 per million output tokens. Cached prompt usage comes with further discounts. The update places OpenAI in a more competitive pricing bracket compared to rivals like Google DeepMind's Gemini and Anthropic's Claude. Confirming the change, CEO Sam Altman posted on X: 'we dropped the price of o3 by 80%!! excited to see what people will do with it now. think you'll also be happy with o3-pro pricing for the performance :)' However, not all announcements were forward-moving. OpenAI's open-source AI model, initially expected in June, has been delayed. Altman shared that the postponement is due to unexpected progress by the research team that requires additional refinement. 'We are going to take a little more time with our open-weights model, i.e. expect it later this summer but not June,' he wrote. The open-source model is anticipated to compete with the likes of DeepSeek R1 and is designed to raise the standard for freely accessible large language models. In a separate blog post, Altman also addressed environmental concerns around AI use, revealing that a single ChatGPT query consumes approximately 0.34 watt-hours of electricity and about 0.000085 gallons of water—comparable to a second of oven use or a sip of water. He added, 'The cost of intelligence should eventually converge to near the cost of electricity.' With these moves, OpenAI not only aims to empower developers and enterprises with powerful tools at lower costs but also continues to push the envelope in AI innovation.
India Today
4 days ago
- Business
- India Today
OpenAI adds o3 Pro to ChatGPT and drops o3 price by 80 per cent, but open-source AI is delayed
OpenAI has been busy. This morning, we woke up to a bunch of updates from the AI company. To begin with, OpenAI has released o3 Pro, its most advanced reasoning model to date, for Pro and Team users of ChatGPT. The release of the new model also comes with a dramatic 80 per cent price cut for the standard o3 model, which makes it more accessible for developers and researchers around the world. However, OpenAI CEO Sam Altman has also announced that the company has had to push back the release of its open-source model until later this Pro lands in ChatGPTOpenAI has launched a new o3 Pro model, which it says is its most capable AI model yet. o3 Pro is available to Pro and Team users in ChatGPT and through OpenAI's API. It replaces the earlier o1 Pro model and is designed to deliver even more reliable and accurate answers across complex domains like science, programming, mathematics, and education. OpenAI described o3 Pro as a 'version of our most intelligent model, o3, designed to think longer and provide the most reliable responses.' The company notes that in internal and external academic evaluation, o3 Pro has consistently outperformed both o3 and its predecessors, especially in clarity, accuracy, instruction-following, and comprehensiveness. advertisement Although o3 Pro uses the same underlying model as o3, it is optimised for dependability. OpenAI says reviewers have ranked the model higher across key tasks in science and data analysis. As OpenAI puts it, 'We recommend using it for challenging questions where reliability matters more than speed, and waiting a few minutes is worth the tradeoff.' Notably, o3 Pro is also equipped with tools that enhance its capabilities, including the ability to browse the web, analyse documents, interpret visual inputs, run Python code, and use memory for more personalised interactions. However, these advanced tools mean its responses typically take longer to generate than those of o1 the rollout, a few features remain unavailable in o3 Pro for now. Temporary chats are currently disabled due to a technical issue, and the model cannot yet generate images or use the Canvas interface. Users looking for image generation are advised to stick with GPT-4o, o3, or and Edu customers will gain access to o3 Pro the following week. A massive price cut for o3Alongside the launch of o3 Pro, OpenAI has also slashed the cost of using the o3 model by 80 per cent – a move that makes the model more accessible and affordable to developers. The cost of using o3 now stands at $2 per million input tokens and $8 per million output tokens, with additional discounts for cached (previously seen) prompts. This is a major reduction from the previous rates of $10 and $40 respectively. As OpenAI researcher Noam Brown pointed out on X, this update represents a significant shift in affordability for CEO Sam Altman confirmed the price drop on X, posting, 'we dropped the price of o3 by 80%!! excited to see what people will do with it now. think you'll also be happy with o3-pro pricing for the performance :)' advertisementThe new pricing places OpenAI in sharper competition with rivals like Google DeepMind's Gemini 2.5 Pro, which charges between $1.25 and $2.50 for input and up to $15 for output tokens, depending on prompt size. Gemini also offers Google Search integration, but with extra fees beyond a certain usage Claude Opus 4 remains the priciest competitor, charging $15 per million input tokens and $75 for output. DeepSeek's Reasoner and Chat models, on the other hand, lead the low-cost tier with rates as low as $0.035 for cached inputs during off-peak model postponedWhile the launch of o3 Pro and the price drop for the o3 model are widely welcomed, OpenAI's open-source model has hit a delay. Originally expected in June 2025, the model will now arrive later, following a surprise development by the research team. The exact timeline for the release has not yet been disclosed. In a post on X, Altman explained, 'We are going to take a little more time with our open-weights model, i.e. expect it later this summer but not June.' He added that the delay is due to the team achieving something 'unexpected and quite amazing,' which still needs more time to open-source model is expected to rival high-performing open reasoning models such as DeepSeek R1, with OpenAI aiming to raise the bar for open-access large language models. OpenAI CEO reveals cost of a single ChatGPT queryAlongside these product updates, Altman has also addressed questions about the environmental cost of using ChatGPT. In a blog post published on Tuesday, he shared that each ChatGPT query consumes about 0.34 watt-hours, which is roughly what an oven uses in a second or a high-efficiency lightbulb in a couple of terms of water usage, Altman revealed that the average query consumes 0.000085 gallons of water, or 'roughly one fifteenth of a teaspoon.' These figures, he explained, are part of a broader vision where 'the cost of intelligence should eventually converge to near the cost of electricity.'
