<p>Google has begun rolling out Gemini Spark in India, introducing an AI agent designed to work continuously in the background instead of waiting for users to type prompts. The rollout started on July 29 and is gradually reaching Google AI Pro and Google AI Ultra subscribers across the country. The launch is significant because it moves Gemini beyond a chatbot into an AI assistant that can complete tasks over time even after users close their laptops. It also puts Google in direct competition with AI coding and productivity agents from rivals such as Anthropic and OpenAI.</p>

<blockquote class="twitter-tweet"><p lang="en" dir="ltr">Gemini Spark is rolling out to Google AI Pro users outside the U.S.<br><br>Spark is your personal AI agent that works in the background 24/7 to get things done under your direction, handling the heavy lifting so you can focus on what matters. <a href="https://t.co/qq1RQK221m">https://t.co/qq1RQK221m</a></p>&mdash; Google Gemini (@GeminiApp) <a href="https://x.com/GeminiApp/status/2083302569796059271?ref_src=twsrc%5Etfw">July 31, 2026</a></blockquote> <script async src="https://platform.x.com/widgets.js" charset="utf-8"></script>

<h2><strong>What is Gemini Spark?</strong></h2><p>Google describes Spark as a 24/7 personal AI agent that works under a user's instructions. Instead of answering a single question, Spark can take on longer tasks, continue working in the background and notify users when the job is complete. The idea is to reduce repetitive work while allowing people to focus on more important tasks. According to Google, Spark is built to handle the "heavy lifting", making Gemini less like a chatbot and more like a digital assistant that works independently.</p><h2><strong>More than an AI chatbot</strong></h2><p>Gemini Spark represents Google's broader push into agentic AI systems capable of planning, executing and managing tasks with minimal human intervention. Unlike traditional assistants that require constant prompts, Spark can keep working after a task has been assigned. That makes it useful for research, document preparation, coding workflows, information gathering and other time-consuming activities. The launch also reflects an industry-wide shift from conversational AI to autonomous AI agents that can complete real-world work.</p><h2><strong>Who can use it?</strong></h2><p>Gemini Spark is currently rolling out in phases to Google AI Pro and Google AI Ultra subscribers outside the US, including users in India. Google says availability will expand gradually over the coming weeks, meaning some eligible users may receive access before others. With Spark, Google is signalling its ambition to make Gemini a full-time AI assistant rather than just another chatbot. As competition intensifies between Google, OpenAI and Anthropic, always-on AI agents could become the next major battleground in generative AI.</p>

Google has started rolling out Gemini Spark in India for AI Pro and AI Ultra subscribers. The new always-on AI agent can continue working in the background on long-running tasks, marking Google's latest push into autonomous AI assistants.

Google has begun rolling out Gemini Spark in India, introducing an AI agent designed to work continuously in the background instead of waiting for users to type prompts. The rollout started on July 29 and is gradually reaching Google AI Pro and Google AI Ultra subscribers across the country. The launch is significant because it moves Gemini beyond a chatbot into an AI assistant that can complete tasks over time even after users close their laptops. It also puts Google in direct competition with AI coding and productivity agents from rivals such as Anthropic and OpenAI.

<p>Google has started rolling out Gemini Spark in India for AI Pro and AI Ultra subscribers. The new always-on AI agent can continue working in the background on long-running tasks, marking Google's latest push into autonomous AI assistants.</p>

Claude Code killer? Gemini Spark is now available in India, and AI can now work without your laptop

<p>Alibaba has launched its latest artificial intelligence model, Qwen3.7-Max, claiming the system outperformed several competing AI models from OpenAI and Google in coding benchmarks. According to Alibaba, the model is designed to function as an autonomous coding agent capable of handling long and complex software tasks with limited human input.</p><p>The launch highlights China’s growing push to compete with US companies in advanced AI development, especially in the rapidly expanding field of AI coding systems. Chinese technology firms are increasingly investing in models that can operate more independently and perform tasks traditionally handled by software engineers.</p><h2><strong>What is Qwen3.7-Max?</strong></h2><p>Unlike standard AI chatbots that mainly answer questions or generate text, Qwen3.7-Max has been designed specifically for “agent-based” coding tasks. This means the model can independently manage workflows, interact with software tools and continue working across long sessions without constant user instructions.</p><p><strong>Alibaba says the AI can:</strong></p><p>Build front-end software prototypes</p><p>Manage large multi-file coding projects</p><p>Automate office workflows</p><p>Use external tools independently</p><p>The company claims the model can operate autonomously for up to 35 hours continuously and reportedly perform more than 1,000 software tool interactions during a single session.</p><h2><strong>How Alibaba says the AI performed</strong></h2><p>According to Alibaba, Qwen3.7-Max currently ranks fourth globally on the Code Arena benchmark leaderboard with a score of 1,541. The company says the ranking places the model ahead of some versions of ChatGPT and Gemini in coding-related tasks. Only models from Anthropic reportedly scored higher in the rankings. Alibaba researchers also described an internal experiment where the AI was asked to optimise software for one of the company’s own AI chips. The company claims the model worked continuously for around 35 hours, performing:</p><p>432 kernel tests<br>More than 1,100 software tool calls<br>Repeated compiling and rewriting of code</p><p>According to Alibaba, the AI achieved a tenfold performance improvement over the original implementation despite not being trained on that chip architecture previously.</p><h2><strong>China’s growing competition with US AI firms</strong></h2><p>The launch comes at a time when companies such as OpenAI, Google and Anthropic continue to dominate advanced AI development globally. However, Chinese firms are increasingly trying to compete, particularly in the field of autonomous coding agents. Analysts say AI coding systems are becoming one of the most important areas in artificial intelligence because they can potentially automate software development tasks and improve productivity for businesses. Alibaba stated that Qwen3.7-Max supports interfaces compatible with OpenAI and Anthropic systems and can work alongside tools such as Claude Code, OpenClaw and Qwen Code.</p><h2><strong>Shift from open-source to proprietary models</strong></h2><p>The launch also marks a strategic shift for Alibaba. Earlier versions of Qwen were released as open-source models, allowing developers to access and modify them freely. However, the new Qwen3.7-Max is proprietary and available only through Alibaba Cloud’s Model Studio API. Industry experts believe this reflects a wider industry trend where companies are moving towards commercial AI platforms as development costs continue to rise.</p><p>&nbsp;</p><h2>Benchmark claims still await independent review</h2><p>Alibaba said Qwen3.7-Max performed strongly across several coding and reasoning benchmarks and came close to Anthropic’s Claude Opus 4.6 Max in multiple tests. However, many of these benchmark results were self-reported by the company.&nbsp;</p><p>&nbsp;</p><p>The launch of Qwen3.7-Max shows how competition in the global AI race is accelerating. Companies are now moving beyond simple chatbots and focusing on systems that can independently perform complex tasks over extended periods. As AI coding tools continue improving, analysts believe the technology could significantly change software development, engineering workflows and enterprise automation in the coming years.</p>

Alibaba has launched its latest artificial intelligence model, Qwen3.7-Max, claiming the system outperformed several competing AI models from OpenAI and Google in coding benchmarks. 

Alibaba has launched its latest artificial intelligence model, Qwen3.7-Max, claiming the system outperformed several competing AI models from OpenAI and Google in coding benchmarks. According to Alibaba, the model is designed to function as an autonomous coding agent capable of handling long and complex software tasks with limited human input. The launch highlights China’s growing push to compete with US companies in advanced AI development, especially in the rapidly expanding field of AI coding systems. Chinese technology firms are increasingly investing in models that can operate more independently and perform tasks traditionally handled by software engineers. What is Qwen3.7-Max? Unlike standard AI chatbots that mainly answer questions or generate text, Qwen3.7-Max has been designed specifically for “agent-based” coding tasks. This means the model can independently manage workflows, interact with software tools and continue working across long sessions without constant user instructions. Alibaba says the AI can: Build front-end software prototypes Manage large multi-file coding projects Automate office workflows Use external tools independently The company claims the model can operate autonomously for up to 35 hours continuously and reportedly perform more than 1,000 software tool interactions during a single session. How Alibaba says the AI performed According to Alibaba, Qwen3.7-Max currently ranks fourth globally on the Code Arena benchmark leaderboard with a score of 1,541. The company says the ranking places the model ahead of some versions of ChatGPT and Gemini in coding-related tasks. Only models from Anthropic reportedly scored higher in the rankings. Alibaba researchers also described an internal experiment where the AI was asked to optimise software for one of the company’s own AI chips. The company claims the model worked continuously for around 35 hours, performing: 432 kernel tests More than 1,100 software tool calls Repeated compiling and rewriting of code According to Alibaba, the AI achieved a tenfold performance improvement over the original implementation despite not being trained on that chip architecture previously. China’s growing competition with US AI firms The launch comes at a time when companies such as OpenAI, Google and Anthropic continue to dominate advanced AI development globally. However, Chinese firms are increasingly trying to compete, particularly in the field of autonomous coding agents. Analysts say AI coding systems are becoming one of the most important areas in artificial intelligence because they can potentially automate software development tasks and improve productivity for businesses. Alibaba stated that Qwen3.7-Max supports interfaces compatible with OpenAI and Anthropic systems and can work alongside tools such as Claude Code, OpenClaw and Qwen Code. Shift from open-source to proprietary models The launch also marks a strategic shift for Alibaba. Earlier versions of Qwen were released as open-source models, allowing developers to access and modify them freely. However, the new Qwen3.7-Max is proprietary and available only through Alibaba Cloud’s Model Studio API. Industry experts believe this reflects a wider industry trend where companies are moving towards commercial AI platforms as development costs continue to rise. Benchmark claims still await independent review Alibaba said Qwen3.7-Max performed strongly across several coding and reasoning benchmarks and came close to Anthropic’s Claude Opus 4.6 Max in multiple tests. However, many of these benchmark results were self-reported by the company. The launch of Qwen3.7-Max shows how competition in the global AI race is accelerating. Companies are now moving beyond simple chatbots and focusing on systems that can independently perform complex tasks over extended periods. As AI coding tools continue improving, analysts believe the technology could significantly change software development, engineering workflows and enterprise automation in the coming years.

<p>Alibaba has launched its latest artificial intelligence model, Qwen3.7-Max, claiming the system outperformed several competing AI models from OpenAI and Google in coding benchmarks.&nbsp;</p>

Alibaba claims its new Qwen AI model outperformed ChatGPT and Gemini in coding tests

<p>Google has introduced Gemini Spark, a new artificial intelligence feature that has raised questions about whether it is simply a rebranding of Gemini or an entirely new product. At first glance, the naming may seem confusing. Gemini itself evolved from Bard, Google’s earlier chatbot. However, Gemini Spark is not a replacement or rebrand. Instead, it represents a different layer of AI functionality focused on proactive assistance.</p><h2><strong>What is Gemini Spark and how is it different</strong></h2><p>Gemini Spark is designed as a background AI agent rather than a traditional chatbot. Unlike standard AI tools where users ask questions and receive answers, Spark works continuously in the background.</p><p>&nbsp;</p><p>It can:</p><p>Track tasks over time</p><p>Update information automatically</p><p>Work across apps like Gmail, Docs and Calendar</p><p>This makes it different from Gemini’s usual chat-based interaction, where users actively input prompts.</p><h2><strong>How Gemini Spark works in real life</strong></h2><p>Spark runs in the cloud and connects with a user’s Google account. Once set up, it can manage ongoing tasks without repeated input.</p><p>For example, users can:</p><p>Plan events such as weddings or trips</p><p>Track bookings and schedules</p><p>Manage projects like home renovations</p><p>The system gathers information from emails and other sources, updates it regularly and presents it in a structured way.</p><h2><strong>Part of Google’s AI agent strategy</strong></h2><p>Gemini Spark reflects a broader shift in artificial intelligence towards what is known as “agentic AI”. These systems are designed to act on behalf of users rather than simply respond to commands. At Google I/O, the company showed how Spark fits into its long-term plan to build AI assistants that:</p><p>Work across multiple platforms</p><p>Handle tasks automatically</p><p>Reduce the need for manual input</p><p>This approach moves beyond chatbots towards continuous assistance.</p><p>&nbsp;</p><h2><strong>Why there is confusion around branding</strong></h2><p>The confusion around Gemini Spark comes from Google’s evolving AI ecosystem. Over time, the company has introduced multiple names and features under the Gemini platform.</p><p>&nbsp;</p><h2><strong>For many users, it is not immediately clear how:</strong></h2><p>Gemini (the main AI system)</p><p>AI Mode in Search</p><p>Gemini Spark</p><p>all fit together.</p><p>Experts note that Spark is best understood as a feature within Gemini rather than a separate product.</p><p>&nbsp;</p><h2><strong>Availability and rollout timeline</strong></h2><p>Google has said that Gemini Spark will launch first in beta and will gradually roll out to users. Initial access is expected for paying Gemini users, with broader availability planned later. The company is also working to integrate Spark across Android devices and third-party apps.</p><h2><strong>What this means for users and the AI industry</strong></h2><p>Gemini Spark highlights a key trend in AI development: moving from reactive tools to proactive systems. For users, this could mean less time spent managing tasks manually. For the industry, it signals a shift towards AI systems that operate continuously in the background.</p><p>&nbsp;</p><h2><strong>What happens next</strong></h2><p>Google is expected to expand Gemini Spark’s capabilities over time, adding more integrations and improving accuracy. If successful, Spark could become a central part of how users interact with digital services, turning AI into a constant assistant rather than a tool used only when needed</p>

Google has introduced Gemini Spark, a new artificial intelligence feature that has raised questions about whether it is simply a rebranding of Gemini or an entirely new product.

Google has introduced Gemini Spark, a new artificial intelligence feature that has raised questions about whether it is simply a rebranding of Gemini or an entirely new product. At first glance, the naming may seem confusing. Gemini itself evolved from Bard, Google’s earlier chatbot. However, Gemini Spark is not a replacement or rebrand. Instead, it represents a different layer of AI functionality focused on proactive assistance. What is Gemini Spark and how is it different Gemini Spark is designed as a background AI agent rather than a traditional chatbot. Unlike standard AI tools where users ask questions and receive answers, Spark works continuously in the background. It can: Track tasks over time Update information automatically Work across apps like Gmail, Docs and Calendar This makes it different from Gemini’s usual chat-based interaction, where users actively input prompts. How Gemini Spark works in real life Spark runs in the cloud and connects with a user’s Google account. Once set up, it can manage ongoing tasks without repeated input. For example, users can: Plan events such as weddings or trips Track bookings and schedules Manage projects like home renovations The system gathers information from emails and other sources, updates it regularly and presents it in a structured way. Part of Google’s AI agent strategy Gemini Spark reflects a broader shift in artificial intelligence towards what is known as “agentic AI”. These systems are designed to act on behalf of users rather than simply respond to commands. At Google I/O, the company showed how Spark fits into its long-term plan to build AI assistants that: Work across multiple platforms Handle tasks automatically Reduce the need for manual input This approach moves beyond chatbots towards continuous assistance. Why there is confusion around branding The confusion around Gemini Spark comes from Google’s evolving AI ecosystem. Over time, the company has introduced multiple names and features under the Gemini platform. For many users, it is not immediately clear how: Gemini (the main AI system) AI Mode in Search Gemini Spark all fit together. Experts note that Spark is best understood as a feature within Gemini rather than a separate product. Availability and rollout timeline Google has said that Gemini Spark will launch first in beta and will gradually roll out to users. Initial access is expected for paying Gemini users, with broader availability planned later. The company is also working to integrate Spark across Android devices and third-party apps. What this means for users and the AI industry Gemini Spark highlights a key trend in AI development: moving from reactive tools to proactive systems. For users, this could mean less time spent managing tasks manually. For the industry, it signals a shift towards AI systems that operate continuously in the background. What happens next Google is expected to expand Gemini Spark’s capabilities over time, adding more integrations and improving accuracy. If successful, Spark could become a central part of how users interact with digital services, turning AI into a constant assistant rather than a tool used only when needed

<p>Google has introduced Gemini Spark, a new artificial intelligence feature that has raised questions about whether it is simply a rebranding of Gemini or an entirely new product.</p>

What makes Google’s Gemini Spark different from a normal search engine

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Claude Code killer? Gemini Spark is now available in India, and AI can now work without your laptop

Qwen3.7-Max: Alibaba’s latest AI model and what it can do

What makes Google’s Gemini Spark different from a normal search engine