Latest news with #DeepThink
TECHx
6 days ago
- Business
- TECHx
Google AI Unveils Deep Think for Enhanced Reasoning
Google has officially announced the launch of Deep Think, the newest and most advanced reasoning model in its Gemini 2.5 series. This AI model offers a refined experience designed to improve logical thinking, problem-solving, and creativity. The rollout is now available exclusively to Google AI Ultra subscribers through the Gemini app. This marks a significant milestone in Google's efforts to develop more capable and intuitive AI systems. According to Google, Deep Think outperformed leading competitor models such as OpenAI o3 and Grok 4 in multiple benchmark tests. The model was first revealed during the recent Google I/O conference after a limited testing phase. Deep Think enhances AI reasoning and creativity Available now for Google AI Ultra subscribers Outperforms competitors in benchmark tests The post Google AI Unveils Deep Think for Enhanced Reasoning first appeared on TECHx Media.
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Business Standard
7 days ago
- Business
- Business Standard
Google enables 'Deep Think' mode in Gemini: What is it, how it works, more
Google is rolling out the Gemini 2.5 Deep Think mode to AI Ultra subscribers. Previewed at the I/O 2025 conference, Deep Think in Gemini can generate multiple, 'parallel streams of thought' simultaneously. According to Google, this parallel thinking technique enables Gemini to generate many ideas at once and consider them side by side — similar to how people think — before refining, combining, or revising them to arrive at the best possible answer. Additionally, Deep Think mode extends 'thinking time,' allowing the AI to explore various hypotheses before settling on 'creative solutions' to complex problems. What Gemini Deep Think mode can do Google says Deep Think is designed for tasks that demand creativity, strategic thinking, and a step-by-step refinement process. In one demonstration, the company asked Gemini to generate HTML code for a detailed animation of a hyper-realistic pagoda. When comparing the outputs from different Gemini models, the Deep Think version delivered a more visually appealing result with greater design complexity and finer details. According to Google, Deep Think can assist users in several key areas: Enhancing both visual appeal and functionality in web development. Generating and evaluating mathematical conjectures or interpreting dense scientific research. Solving complex programming challenges that require strategic planning and an understanding of trade-offs like time complexity. Availability of Gemini 2.5 Deep Think mode Gemini 2.5 Deep Think mode is now live on the Gemini mobile app and web interface for Google AI Ultra subscribers. To activate it, users must choose the 2.5 Pro model in the drop-down menu and toggle Deep Think from the prompt bar. Once enabled, it integrates automatically with features like code execution and Google Search.
Indian Express
03-08-2025
- Business
- Indian Express
What is Wide Research, Manus' new multi-agent AI tool to take on OpenAI and Google?
Manus, an AI startup with roots in China, has announced a new feature that ropes in scores of AI agents in order to carry out complex, large-scale tasks that require information on hundreds of items. The feature known as Wide Research is designed to make deep, high-volume research effortless, Manus said in its announcement blog post published on Thursday, July 31. It is said to be the company's most significant launch since its debut in March this year. Wide Research is seen as Manus' answer to similar research-focused AI features and tools introduced by US rivals such as OpenAI's Deep Research and Google's Deep Think. It also comes weeks after OpenAI's ChatGPT Agent made its debut. 'With the launch of Wide Research, Manus unlocks a powerful new way for users to tackle complex, large-scale tasks that require information on hundreds of items,' Manus said. 'Wide Research marks a milestone in our exploration of the scaling laws of AI agents, but it's just the beginning. The infrastructure behind it is part of something much bigger we're building,' it added. The newly unveiled feature will be immediately available for paid Pro customers, with plans to roll out to Plus and Basic tier users in the future. Wide Research is the first feature rolled out by Manus that has been built on top of its large-scale virtualization infrastructure and highly efficient agent architecture which reportedly took 'months of optimisation'. 'At its core, Wide Research is a system-level mechanism for parallel processing, and a protocol for agent-to-agent collaboration,' the company said. Wide Research differs from other multi-agent systems such as specialised AI agent managers or coding assistants because the multiple AI agents that carry out the tasks are general-purpose. 'This generality unlocks flexibility: tasks are not constrained to rigid formats or predefined domains. In practice, the only real limit is your imagination,' Manus said. In a video posted on X, Manus co-founder Peak Ji demonstrated how Wide Research can be used to quickly conduct research on 100 different sneakers simultaneously or create 50 different poster designs in a matter of minutes. According to Manus, users will be able to perform deep, high-volume research tasks such as exploring Fortune 500 companies, comparing top MBA programs, or diving into generative AI tools. However, Ji also said that Wide Research is still in the experimental phase and warned that it may come with certain limitations. Manus made a splash in the AI landscape earlier this year with the launch of its general-purpose AI agent that is capable of autonomously carrying out web-based tasks such as creating trip itineraries in response to basic prompts. In June this year, the company released its own AI video generator. Manus' AI features are reportedly wrapped around other large language models like Anthropic's Claude. 'Behind every Manus session runs a dedicated cloud-based virtual machine, allowing users to orchestrate complex cloud workloads — simply by talking to an agent,' the company said. 'From generating tailored rental presentations to safely evaluating cutting-edge open-source projects in a secure sandbox, the Turing-completeness of the virtual machine is what gives Manus its generality — and opens the door to endless creative possibilities,' it added. Manus recently shifted its operations out of China to Singapore, Tokyo and San Mateo, California. It currently does not offer its AI products and tools in China, according to a report by Bloomberg. Recently, the AI startup raised $75 million in a funding round led by US venture firm Benchmark. Its early investors include Chinese tech giants such as Tencent as well as HSG (formerly Sequoia China) and ZhenFund.
Al Etihad
02-08-2025
- Business
- Al Etihad
Google launches 'Deep Think' for AI Ultra subscribers
2 Aug 2025 15:11 WASHINGTON (AGENCIES)Google has officially launched Deep Think, the latest and most advanced reasoning model in its Gemini 2.5 series, offering a refined AI experience designed to enhance logical thinking, problem-solving, and exclusive rollout is now available to Google AI Ultra subscribers through the Gemini app, marking a major milestone in the company's efforts to build more capable and intuitive AI to Google, "Deep Think" outperformed leading competitor models such as "OpenAI o3" and "Grok 4" in multiple benchmark release follows a limited testing phase, and was first unveiled by the company during the recent Google I/O conference.
Indian Express
02-08-2025
- Business
- Indian Express
Gemini 2.5 Deep Think is now available to Google AI Ultra subscribers
Google has made Deep Think available in the Gemini app for Google AI Ultra subscribers. This is the latest in the lineup of Google's advanced AI tools and features. The search giant is also giving select mathematicians access to the full version of the Gemini 2.5 Deep Think model that entered into the International Mathematical Olympiad (IMO) competition. According to the company, the latest release incorporates feedback from early trusted testers and research breakthroughs. The new model is a significant improvement over what was showcased at the Google I/O earlier this year. The model is a variation of the one that recently achieved the gold-medal standard at this year's IMO. While the earlier model took hours to reason about complex math problems, Google claims that the latest model is faster and more usable for day-to-day activities. Based on internal evaluations, the new version reaches the Bronze-level performance on the 2025 IMO benchmark. Google claims that Deep Think could be a powerful tool in creative problem solving. The tech giant gave access to Deep Think on the Gemini app to mathematicians like Michel van Garrel to test mathematical conjectures. Along with Deep Think for Google AI Ultra subscribers, the company is also giving access to the official version of the IMO gold-winning Gemini 2.5 Deep Think model with a small group of mathematicians and academics. Much like humans who explore different perspectives to a complex problem, weigh in on likely solutions, and revise till the final answer, Deep Think deploys parallel thinking techniques. Google said that this approach allows Gemini to come up with multiple ideas at once and consider them at the same time, sometimes even revising or combining these over time, before offering the best answer. With Deep Think, Google said it has extended the inference time, or thinking time, endowing the model with the time to explore different possibilities and come up with creative solutions to complex problems. Besides, the company has also developed novel reinforcement learning techniques that push the model to use extended reasoning paths, allowing it to become a better problem-solver over time. When it comes to use cases, according to Google, Deep Think can help users tackle problems that need creative thinking, strategic planning, and making improvements in a step-by-step manner. When it comes to design development, the model can improve both the aesthetics and functionality of web development tasks. It can be useful in scientific and mathematical discovery, as this model can assist in formulating and exploring mathematical conjectures and can even reason through complex scientific literature. Since Deep Think is believed to excel at tough coding problems, it can be of help in algorithmic development and code.
