<p>ChatGPT is about to become much more visual. OpenAI is rolling out a new Intelligent UI alongside GPT-6, bringing interactive visuals directly into conversations. Instead of relying mainly on text and static images, ChatGPT can generate elements such as tappable buttons, custom calculators, interactive charts and editable graphs.</p><p>&nbsp;</p><p>OpenAI says the main goal is to make complex topics easier to understand. The feature could also make ChatGPT more useful for everyday tasks, from planning trips and recipes to learning how things work.</p><h2><strong>ChatGPT can create diagrams as you ask</strong></h2><p>During a demonstration for journalists, OpenAI showed how Intelligent UI can turn abstract questions into visual explanations. For example, a college student asking how an aircraft wing generates lift could ask ChatGPT to “explore how an airplane wing generates lift”. The chatbot can then create diagrams designed to explain the forces and processes involved. OpenAI product manager Aarush Selvan said ChatGPT has traditionally been a “predominantly” text-based interface, but the company wants to help people get things done rather than simply provide written answers. That means the response itself can become a tool the user interacts with.</p><h2><strong>From calculators to maps and interactive charts</strong></h2><p>The visual system is not limited to educational diagrams. OpenAI demonstrated examples including recipe visuals, bicycle-mechanics diagrams, maps for multi-day hiking trips and a personal savings calculator. Interactive charts and editable graphs can also be generated when they make sense for the task. This could be particularly useful when information is easier to understand visually. Instead of reading several paragraphs explaining a trend, for example, users could interact with a chart and explore the information directly. The feature also appears designed to adapt to the user's needs rather than force every conversation into the same format.</p><h2><strong>Users can control how visual ChatGPT becomes</strong></h2><p>Not everyone will want every answer filled with graphics. OpenAI says Intelligent UI will therefore be customisable. Users who prefer traditional text-based responses will be able to reduce the amount of visual content appearing in conversations.</p><p>The rollout is global with GPT-6 for Pro, Plus, Business and Enterprise users. It will arrive on Thursday for users on the free and lower-cost Go tiers. The bigger shift, however, is not simply that ChatGPT can display more graphics. OpenAI is changing the idea of what an AI answer can be. Instead of receiving text and then opening another app to calculate, plot, map or visualise something, users can increasingly do those things inside the conversation itself.</p>

OpenAI is rolling out Intelligent UI with GPT-6, giving ChatGPT interactive charts, diagrams, calculators, maps and editable visual elements. The feature aims to make complex topics easier to understand and lets users control how visual their AI responses become.

ChatGPT is about to become much more visual. OpenAI is rolling out a new Intelligent UI alongside GPT-6, bringing interactive visuals directly into conversations. Instead of relying mainly on text and static images, ChatGPT can generate elements such as tappable buttons, custom calculators, interactive charts and editable graphs. OpenAI says the main goal is to make complex topics easier to understand. The feature could also make ChatGPT more useful for everyday tasks, from planning trips and recipes to learning how things work. ChatGPT can create diagrams as you ask During a demonstration for journalists, OpenAI showed how Intelligent UI can turn abstract questions into visual explanations. For example, a college student asking how an aircraft wing generates lift could ask ChatGPT to “explore how an airplane wing generates lift”. The chatbot can then create diagrams designed to explain the forces and processes involved. OpenAI product manager Aarush Selvan said ChatGPT has traditionally been a “predominantly” text-based interface, but the company wants to help people get things done rather than simply provide written answers. That means the response itself can become a tool the user interacts with. From calculators to maps and interactive charts The visual system is not limited to educational diagrams. OpenAI demonstrated examples including recipe visuals, bicycle-mechanics diagrams, maps for multi-day hiking trips and a personal savings calculator. Interactive charts and editable graphs can also be generated when they make sense for the task. This could be particularly useful when information is easier to understand visually. Instead of reading several paragraphs explaining a trend, for example, users could interact with a chart and explore the information directly. The feature also appears designed to adapt to the user's needs rather than force every conversation into the same format. Users can control how visual ChatGPT becomes Not everyone will want every answer filled with graphics. OpenAI says Intelligent UI will therefore be customisable. Users who prefer traditional text-based responses will be able to reduce the amount of visual content appearing in conversations. The rollout is global with GPT-6 for Pro, Plus, Business and Enterprise users. It will arrive on Thursday for users on the free and lower-cost Go tiers. The bigger shift, however, is not simply that ChatGPT can display more graphics. OpenAI is changing the idea of what an AI answer can be. Instead of receiving text and then opening another app to calculate, plot, map or visualise something, users can increasingly do those things inside the conversation itself.

<p>OpenAI is rolling out Intelligent UI with GPT-6, giving ChatGPT interactive charts, diagrams, calculators, maps and editable visual elements. The feature aims to make complex topics easier to understand and lets users control how visual their AI responses become.</p>

OpenAI gives ChatGPT a visual makeover with interactive charts, calculators and diagrams

<p>OpenAI has launched GPT-6.1 Sol, a new AI model positioned between GPT-6 Sol and the company’s flagship GPT-6 Astra. OpenAI says GPT-6.1 Sol can approach Astra’s performance on agentic coding, computer use and professional work at roughly one-fifth of Astra’s standard input and output token prices.</p><p>&nbsp;</p><p>The model arrives as developers increasingly use AI agents to handle longer, multi-step tasks. For them, the cost of repeatedly sending context to a model can become a major expense. GPT-6.1 Sol is designed to address that problem while improving on the earlier GPT-6 Sol.</p><h2><strong>GPT-6.1 Sol pricing: How much does it cost?</strong></h2><p>OpenAI lists GPT-6.1 Sol at $2 per million input tokens, $10 per million output tokens and just $0.10 per million cached input tokens through its API. Cached input is 95% cheaper than standard input and 50% cheaper than GPT-6 Sol’s cached input price, according to OpenAI. That pricing could be particularly important for AI agents that reuse information across multiple requests.</p><p>The model is available through the API as gpt-6.1-sol. OpenAI says GPT-6.1 Sol is also available in ChatGPT Work and Codex for Plus, Pro, Business, Enterprise and Edu users, although it is not yet available in regular Chat.</p><h2><strong>How close is it to GPT-6 Astra?</strong></h2><p>OpenAI says GPT-6.1 Sol delivers substantial improvements over GPT-6 Sol across complex professional tasks. On the DeepSWE v1.1 software-engineering benchmark, OpenAI says Sol matches GPT-6 Astra while costing roughly one-fifth as much. For computer-use tasks, GPT-6.1 Sol comes within 2.1 percentage points of Astra’s score on the cited OSWorld 2.0 evaluation, at roughly one-seventh of the cost per task. There is still a clear reason to use Astra for the hardest workloads. OpenAI says GPT-6 Astra recorded the highest score among the models tested on Terminal-Bench Science 0.1, at 68.1%.</p><p>&nbsp;</p><h2><strong>Why this matters for AI agents</strong></h2><p>The bigger story is not simply another model launch. It is the economics of AI agents. Agents can perform multi-step tasks involving code, documents, websites and business software. Running these workflows repeatedly can require large amounts of model inference. GPT-6.1 Sol is aimed at making those workloads cheaper without giving up too much capability. OpenAI also says the model improves factuality and alignment compared with GPT-6 Sol. On its difficult factuality evaluation, the share of responses containing a factual error fell from 11.4% with GPT-6 Sol to 7.7% with GPT-6.1 Sol at low reasoning effort. OpenAI cautions that these tests are deliberately difficult and are not representative of typical usage.</p><p>&nbsp;</p><p>OpenAI says an Ultrafast version is also coming to Codex, with up to eight times faster token generation than standard speed. For developers, the message is straightforward: more capable AI does not necessarily have to mean dramatically higher inference costs.</p>

OpenAI has launched GPT-6.1 Sol, claiming near-GPT-6 Astra performance on coding, computer use and professional work at a fraction of the cost. API pricing starts at $2 per million input tokens, while cached input costs just $0.10.


OpenAI has launched GPT-6.1 Sol, a new AI model positioned between GPT-6 Sol and the company’s flagship GPT-6 Astra. OpenAI says GPT-6.1 Sol can approach Astra’s performance on agentic coding, computer use and professional work at roughly one-fifth of Astra’s standard input and output token prices. The model arrives as developers increasingly use AI agents to handle longer, multi-step tasks. For them, the cost of repeatedly sending context to a model can become a major expense. GPT-6.1 Sol is designed to address that problem while improving on the earlier GPT-6 Sol. GPT-6.1 Sol pricing: How much does it cost? OpenAI lists GPT-6.1 Sol at $2 per million input tokens, $10 per million output tokens and just $0.10 per million cached input tokens through its API. Cached input is 95% cheaper than standard input and 50% cheaper than GPT-6 Sol’s cached input price, according to OpenAI. That pricing could be particularly important for AI agents that reuse information across multiple requests. The model is available through the API as gpt-6.1-sol. OpenAI says GPT-6.1 Sol is also available in ChatGPT Work and Codex for Plus, Pro, Business, Enterprise and Edu users, although it is not yet available in regular Chat. How close is it to GPT-6 Astra? OpenAI says GPT-6.1 Sol delivers substantial improvements over GPT-6 Sol across complex professional tasks. On the DeepSWE v1.1 software-engineering benchmark, OpenAI says Sol matches GPT-6 Astra while costing roughly one-fifth as much. For computer-use tasks, GPT-6.1 Sol comes within 2.1 percentage points of Astra’s score on the cited OSWorld 2.0 evaluation, at roughly one-seventh of the cost per task. There is still a clear reason to use Astra for the hardest workloads. OpenAI says GPT-6 Astra recorded the highest score among the models tested on Terminal-Bench Science 0.1, at 68.1%. Why this matters for AI agents The bigger story is not simply another model launch. It is the economics of AI agents. Agents can perform multi-step tasks involving code, documents, websites and business software. Running these workflows repeatedly can require large amounts of model inference. GPT-6.1 Sol is aimed at making those workloads cheaper without giving up too much capability. OpenAI also says the model improves factuality and alignment compared with GPT-6 Sol. On its difficult factuality evaluation, the share of responses containing a factual error fell from 11.4% with GPT-6 Sol to 7.7% with GPT-6.1 Sol at low reasoning effort. OpenAI cautions that these tests are deliberately difficult and are not representative of typical usage. OpenAI says an Ultrafast version is also coming to Codex, with up to eight times faster token generation than standard speed. For developers, the message is straightforward: more capable AI does not necessarily have to mean dramatically higher inference costs.

<p>OpenAI has launched GPT-6.1 Sol, claiming near-GPT-6 Astra performance on coding, computer use and professional work at a fraction of the cost. API pricing starts at $2 per million input tokens, while cached input costs just $0.10.</p>

OpenAI launches GPT-6.1 Sol: Near-Astra AI performance at one-fifth the price

<p>“AGI has arrived.” That is the striking verdict from Nvidia CEO Jensen Huang following OpenAI’s launch of GPT-6 Astra.</p><p>&nbsp;</p><p>Huang said Astra marks the arrival of artificial general intelligence (AGI), the long-discussed idea of AI capable of handling a broad range of intellectual tasks rather than being limited to one specific job. His claim is significant, but it is not an industry-wide certification. There is no universally accepted test that officially declares an AI model to be AGI. The statement has also revived a bigger question: if AI can increasingly perform work that once required humans, how much will the workplace change?</p><p>&nbsp;</p><h2><strong>Why Jensen Huang says AGI has arrived</strong></h2><p>Huang pointed to the extraordinary computing power behind Astra. According to his post, the model was developed using more than 100,000 Nvidia Grace Blackwell NVLink72 systems over roughly four years of rapid AI development. He also said 400,000 more Nvidia GPUs are coming online. OpenAI has highlighted Astra’s performance across demanding tests. The company says the model reached 98% on FrontierMath Tier 4, 99.9% on ARC-AGI-3 and 100% on ExploitBench. Those results show major progress, but benchmark scores alone do not prove that a model has achieved human-level intelligence across the real world.</p><p>&nbsp;</p><h2><strong>Is this the beginning of an AI job crisis?</strong></h2><p>That is where the AGI debate becomes much more important for ordinary workers. A genuinely general AI system could potentially handle a wider range of tasks across coding, research, analysis, administration and other knowledge work.</p><p>But AGI does not automatically mean mass unemployment. The immediate impact will depend on how reliably companies can use systems such as Astra, how much they cost, and whether businesses use AI to replace workers, increase productivity or create new roles.</p><p>&nbsp;</p><h2><strong>Why 400,000 GPUs matter</strong></h2><p>The enormous computing buildout is another signal that the AI race is nowhere near finished. Moving from a training run involving more than 100,000 GPUs towards hundreds of thousands more means huge demands for data centres, electricity, networking and investment.</p><p>&nbsp;</p><p>For Nvidia, that could mean continued demand for its AI infrastructure. But it also raises the stakes. Companies will need to prove that increasingly expensive AI systems deliver enough real-world value to justify the spending. Huang may believe AGI has already arrived. The more important test for everyone else will be what happens next in laboratories, businesses and, ultimately, the workplace.</p>

Nvidia CEO Jensen Huang has declared that “AGI has arrived” following OpenAI’s GPT-6 Astra launch. He points to a training run using more than 100,000 Nvidia systems and says another 400,000 GPUs are coming online, intensifying debate over AI, jobs and the future of work.

“AGI has arrived.” That is the striking verdict from Nvidia CEO Jensen Huang following OpenAI’s launch of GPT-6 Astra. Huang said Astra marks the arrival of artificial general intelligence (AGI), the long-discussed idea of AI capable of handling a broad range of intellectual tasks rather than being limited to one specific job. His claim is significant, but it is not an industry-wide certification. There is no universally accepted test that officially declares an AI model to be AGI. The statement has also revived a bigger question: if AI can increasingly perform work that once required humans, how much will the workplace change? Why Jensen Huang says AGI has arrived Huang pointed to the extraordinary computing power behind Astra. According to his post, the model was developed using more than 100,000 Nvidia Grace Blackwell NVLink72 systems over roughly four years of rapid AI development. He also said 400,000 more Nvidia GPUs are coming online. OpenAI has highlighted Astra’s performance across demanding tests. The company says the model reached 98% on FrontierMath Tier 4, 99.9% on ARC-AGI-3 and 100% on ExploitBench. Those results show major progress, but benchmark scores alone do not prove that a model has achieved human-level intelligence across the real world. Is this the beginning of an AI job crisis? That is where the AGI debate becomes much more important for ordinary workers. A genuinely general AI system could potentially handle a wider range of tasks across coding, research, analysis, administration and other knowledge work. But AGI does not automatically mean mass unemployment. The immediate impact will depend on how reliably companies can use systems such as Astra, how much they cost, and whether businesses use AI to replace workers, increase productivity or create new roles. Why 400,000 GPUs matter The enormous computing buildout is another signal that the AI race is nowhere near finished. Moving from a training run involving more than 100,000 GPUs towards hundreds of thousands more means huge demands for data centres, electricity, networking and investment. For Nvidia, that could mean continued demand for its AI infrastructure. But it also raises the stakes. Companies will need to prove that increasingly expensive AI systems deliver enough real-world value to justify the spending. Huang may believe AGI has already arrived. The more important test for everyone else will be what happens next in laboratories, businesses and, ultimately, the workplace.

<p>Nvidia CEO Jensen Huang has declared that “AGI has arrived” following OpenAI’s GPT-6 Astra launch. He points to a training run using more than 100,000 Nvidia systems and says another 400,000 GPUs are coming online, intensifying debate over AI, jobs and the future of work.</p>

‘AGI has arrived’: Nvidia CEO says Astra is AGI! Layoff apocalypse now closer than you think

<p>OpenAI has launched GPT-6 Astra, its latest flagship AI model and a major step towards systems that can complete tasks rather than simply respond to questions.</p><p>&nbsp;</p><p>The company says Astra is its most capable model yet, with major improvements in computer use, browsing, coding, research, science and professional work. It was also trained using more than 100,000 GPUs at OpenAI’s Stargate facility in Texas, making it the company’s largest training run so far. The key difference is how Astra works. Instead of stopping after generating an answer, it can break a complicated request into multiple steps and carry out those steps across a computer environment.</p><p>&nbsp;</p><h2><strong>GPT-6 Astra can use your computer</strong></h2><p>Astra can fill online forms, update customer records, organise calendars and conduct web research. It can also work inside document and spreadsheet tools, create websites, analyse data and test software. OpenAI says it can adapt when a user changes requirements during a task. The model has a 1.05-million-token context window and can generate up to 128,000 output tokens, giving it room to handle large and complicated workflows. OpenAI says Astra is particularly strong at creating polished documents, spreadsheets and presentations that follow a user's existing templates and instructions. That could make the model useful for jobs where the difficult part is not writing text, but moving between several tools and completing the entire process.</p><p>&nbsp;</p><h2><strong>A huge jump in AI computing</strong></h2><p>The scale behind GPT-6 Astra is also notable.</p><p>&nbsp;</p><p>OpenAI says this was the first time it pre-trained a model using more than 100,000 GPUs at its Stargate site. The enormous training run reflects the growing computing demands of frontier AI. OpenAI's own tests show Astra completing computer-use tasks in about 47% less time than GPT-5.6 Sol in its OSWorld 2.0 latency simulations. For developers, GPT-6 Astra is priced at $10 per million input tokens and $50 per million output tokens. It is rolling out through the OpenAI API, with access also coming to ChatGPT Plus, Pro, Business and Enterprise users.</p><p>&nbsp;</p><h2><strong>GPT-6 Astra also raises a new AI question</strong></h2><p>More capable computer-using AI also creates new safety challenges.</p><p>OpenAI says Astra has reached its Critical level for cybersecurity capability. With the right tools and access, the company says it can find previously unknown vulnerabilities and develop ways to exploit them without a person guiding every step.</p><p>&nbsp;</p><p>That is why OpenAI has added stronger monitoring and safeguards. GPT-6 Astra is therefore more than another chatbot upgrade. It represents a shift towards AI that can reason, operate software and complete entire workflows bringing the industry closer to assistants that can actually do the work, not just describe how to do it.</p>

OpenAI has launched GPT-6 Astra, a flagship AI model built for complex end-to-end tasks. It can use computers, browse the web, write software and create documents and presentations. OpenAI says it was trained using more than 100,000 GPUs.


OpenAI has launched GPT-6 Astra, its latest flagship AI model and a major step towards systems that can complete tasks rather than simply respond to questions. The company says Astra is its most capable model yet, with major improvements in computer use, browsing, coding, research, science and professional work. It was also trained using more than 100,000 GPUs at OpenAI’s Stargate facility in Texas, making it the company’s largest training run so far. The key difference is how Astra works. Instead of stopping after generating an answer, it can break a complicated request into multiple steps and carry out those steps across a computer environment. GPT-6 Astra can use your computer Astra can fill online forms, update customer records, organise calendars and conduct web research. It can also work inside document and spreadsheet tools, create websites, analyse data and test software. OpenAI says it can adapt when a user changes requirements during a task. The model has a 1.05-million-token context window and can generate up to 128,000 output tokens, giving it room to handle large and complicated workflows. OpenAI says Astra is particularly strong at creating polished documents, spreadsheets and presentations that follow a user's existing templates and instructions. That could make the model useful for jobs where the difficult part is not writing text, but moving between several tools and completing the entire process. A huge jump in AI computing The scale behind GPT-6 Astra is also notable. OpenAI says this was the first time it pre-trained a model using more than 100,000 GPUs at its Stargate site. The enormous training run reflects the growing computing demands of frontier AI. OpenAI's own tests show Astra completing computer-use tasks in about 47% less time than GPT-5.6 Sol in its OSWorld 2.0 latency simulations. For developers, GPT-6 Astra is priced at $10 per million input tokens and $50 per million output tokens. It is rolling out through the OpenAI API, with access also coming to ChatGPT Plus, Pro, Business and Enterprise users. GPT-6 Astra also raises a new AI question More capable computer-using AI also creates new safety challenges. OpenAI says Astra has reached its Critical level for cybersecurity capability. With the right tools and access, the company says it can find previously unknown vulnerabilities and develop ways to exploit them without a person guiding every step. That is why OpenAI has added stronger monitoring and safeguards. GPT-6 Astra is therefore more than another chatbot upgrade. It represents a shift towards AI that can reason, operate software and complete entire workflows bringing the industry closer to assistants that can actually do the work, not just describe how to do it.

<p>OpenAI has launched GPT-6 Astra, a flagship AI model built for complex end-to-end tasks. It can use computers, browse the web, write software and create documents and presentations. OpenAI says it was trained using more than 100,000 GPUs.</p>

OpenAI launches GPT-6 Astra, its most capable AI model yet, trained on more than 100,000 GPUs

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OpenAI gives ChatGPT a visual makeover with interactive charts, calculators and diagrams

OpenAI launches GPT-6.1 Sol: Near-Astra AI performance at one-fifth the price

‘AGI has arrived’: Nvidia boss points to GPT-6 Astra as 400,000 GPUs come online

OpenAI GPT-6 Astra launched: What the new AI can actually do