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Gemini 2.5 Deep Think is now available to Google AI Ultra subscribers

Gemini 2.5 Deep Think is now available to Google AI Ultra subscribers

Indian Express3 days ago
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.
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Silicon Valley Is in Its ‘hard tech' era
Silicon Valley Is in Its ‘hard tech' era

Indian Express

time13 minutes ago

  • Indian Express

Silicon Valley Is in Its ‘hard tech' era

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Engineers held morning meetings sitting in rainbow-colored beanbags, took lunch gratis at the corporate sushi bar and unwound in the afternoon with craft brews from the office keg (nitrogen chilled, natch). And if they got sweaty after a heated office table-tennis tournament, no matter — dry cleaning service was free. That Silicon Valley is now mostly ancient history. Today, the tech has become harder, the perks are fewer and the mood has turned more serious. The nation's tech capital has shifted into its artificial intelligence age — some call it the 'hard tech' era — and the signs are everywhere. In office conference rooms, hacker houses, third-wave coffee houses or over Zoom meetings, knowledge of terms like neural network, large language model and graphical processing unit has become mandatory. Stacked up against ChatGPT's ability to instantly transform any image into a Studio Ghibli cartoon, Instagram's photo filters are practically Paleolithic. 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Google brings iPhone-style swipe animations to Android browsers: Here's how to turn them on
Google brings iPhone-style swipe animations to Android browsers: Here's how to turn them on

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Google brings iPhone-style swipe animations to Android browsers: Here's how to turn them on

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Google agrees to curb power use for AI data centres to ease strain on U.S. grid when demand surges
Google agrees to curb power use for AI data centres to ease strain on U.S. grid when demand surges

The Hindu

timean hour ago

  • The Hindu

Google agrees to curb power use for AI data centres to ease strain on U.S. grid when demand surges

Google has signed agreements with two U.S. electric utilities to reduce its AI data centre power consumption during times of surging demand on the grid, the company said on Monday, as energy-intensive AI use outpaces power supplies. Utilities in the country have been inundated with requests for electricity for Big Tech's AI data centres, with demand eclipsing total available power supplies in some areas. That power crunch has led to concerns about spiking bills for everyday homes and business and blackouts. It has also complicated the technology industry's expansion of AI, which requires massive amounts of electricity, fast. Google's agreements with Indiana Michigan Power and Tennessee Power Authority would involve scaling back power use at the technology giant's data centres when called upon by the electric utilities to free up space on the grid. They are the first formal agreements by Google in demand-response programmes with utilities to temporarily curtail its machine learning workloads, a subset of artificial intelligence. "It allows large electricity loads like data centers to be interconnected more quickly, helps reduce the need to build new transmission and power plants, and helps grid operators more effectively and efficiently manage power grids," Google said in a blog post. Demand-response programmes have typically been used by other energy-intensive industries like heavy manufacturing or cryptocurrency mining. In exchange, the businesses generally receive payments or reduced power bills. The programmes involving AI activity in data centres is generally new, and details of the commercial arrangements between Google and the utilities were not clear. While demand-response agreements apply only to a small portion of demand on the grid, the arrangements might become more common as U.S. electricity supply tightens.

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