Google Gemini Ai

....co/gemini/share/8d315ea18ac0   ‎Gemini - direct access to Google AI Created with Gemini g...

AI uygulamasıydı da Samsung ile işbirliğine girmişler galiba Bixby gibi bi şey olacak sanırım. Tabi Gemini gibi değil hiçbiri. Google bilgilerimizi güzel işliyor. samsung us Enable Perplexity on your Samsung Galaxy phone https://www.samsung.com/us/support/answer/ANS10010357

... chatbots were selected for inclusion: Gemini (2.0, Google; version available December 2024...; version available December 2024), Meta AI (Llama 3.3, Meta; version... public health queries. Lets see Gemini 2.0 Deepseek V3 Llama 3...

... 系列亦可藉 Google 錢包啟用 iPASS... Max 同樣內建 Google Gemini 並沿用母公...米澎湃 AI，擁有多項 AI 應用程...括 AI 寫作、AI 相簿編輯、AI 識音、AI 對...話翻譯、AI...項，實際開啟 Google 地圖導航並...的地方。 發現 AI 問答 檔案資...訊彙整 AI 識物 雖然現...內建了 Google Gemini 作為預設 AI 助理，不...入(圖一左的 AI 圖示)，介面下...字或語音與 AI 提問互動，當...都還是透過 Gemini 來運行生成...延伸問題，是 Gemini 比較少有的...光模式。 POCO 的 AI 相簿編輯各...化兩個推薦 AI 功能，而其他...左二，提供有 AI 擴圖、魔法消...了~ 魔法換天 AI 擴圖 這張在...背景可選用。 「AI 擴圖」如同字... 的範例可見，AI 生成的區域...，與此同時，AI 演算法亦精...切，再輔以 AI 演算法銳化...

... 系列亦可藉 Google 錢包啟用 iPASS... Max 同樣內建 Google Gemini 並沿用母公...米澎湃 AI，擁有多項 AI 應用程...括 AI 寫作、AI 相簿編輯、AI 識音、AI 對...話翻譯、AI...項，實際開啟 Google 地圖導航並...的地方。 發現 AI 問答 檔案資...訊彙整 AI 識物 雖然現...內建了 Google Gemini 作為預設 AI 助理，不...入(圖一左的 AI 圖示)，介面下...字或語音與 AI 提問互動，當...都還是透過 Gemini 來運行生成...延伸問題，是 Gemini 比較少有的...光模式。 POCO 的 AI 相簿編輯各...化兩個推薦 AI 功能，而其他...左二，提供有 AI 擴圖、魔法消...了~ 魔法換天 AI 擴圖 這張在...背景可選用。 「AI 擴圖」如同字... 的範例可見，AI 生成的區域...，與此同時，AI 演算法亦精...切，再輔以 AI 演算法銳化...

... 系列亦可藉 Google 錢包啟用 iPASS... Max 同樣內建 Google Gemini 並沿用母公...米澎湃 AI，擁有多項 AI 應用程...括 AI 寫作、AI 相簿編輯、AI 識音、AI 對...話翻譯、AI...項，實際開啟 Google 地圖導航並...的地方。 發現 AI 問答 檔案資...訊彙整 AI 識物 雖然現...內建了 Google Gemini 作為預設 AI 助理，不...入(圖一左的 AI 圖示)，介面下...字或語音與 AI 提問互動，當...都還是透過 Gemini 來運行生成...延伸問題，是 Gemini 比較少有的...光模式。 POCO 的 AI 相簿編輯各...化兩個推薦 AI 功能，而其他...左二，提供有 AI 擴圖、魔法消...了~ 魔法換天 AI 擴圖 這張在...背景可選用。 「AI 擴圖」如同字... 的範例可見，AI 生成的區域...，與此同時，AI 演算法亦精...切，再輔以 AI 演算法銳化...

...명 이벤트☕ ] ? AI로 공부하는...성 및 생성형 AI 종류가 학습...목에서, 어떤 AI(ChatGPT, Gemini, Claude 등)를 썼...험 공부할 때 AI를 써본 적 있...분 ? 링크: https://docs.google.com/forms/d/e/1FAIpQLScYgHGpAtYvgwRzMn0Bf42a9FMaTESkvNpUNZZ05yXy8CYjzg...

... 필요하다. AI 선택 - 대...한다. (Claude Code, Codex, Gemini CLI, Antigravity, Cursor 등)  ...구글 AI Studio 써라. https://aistudio.google.com/   Google AI Studio The... fastest path from prompt to production with Gemini... aistudio.google....com AI 사용팁 -...tsv나 csv처럼 AI가 읽기 좋...

...한 인공지능(Gemini)을 이용해 한...는 '제미니(Gemini)'라는 투명... 창을 열고 [Google AI Studio](https://aistudio.google.com/)에 접...

...いることは、Googleで検索すれ...かるし、GeminiやChatGPTなどのAIに聞...

...데이트 내용 ​Gemini 기반 브리핑...프' 기능에 Gemini가 통합되어...니다. ​새로운 AI 사진 섹션 '...을 위한 전용 AI 스타일 섹션...역: 구글 렌즈(Google Lens)처럼 카메...다. ​신규 AI 기능 앱: AI 기능들을...

... išao upisati u google Slađa Poršelina biografija i njegov Gemini AI mi je...

... the US launch, Google is bringing Personal Intelligence to Gemini users around the..., Drive, and other Workspace apps, Google Photos, YouTube, Search, Maps, and... you can choose which apps Gemini has access to at any... UK. It’s coming first to Google AI Plus, Pro, and Ultra subscribers, ...

... Web search includes AI Mode, with the ability to invoke Google Lens for a... mobile Search experience. The Google app is now available on ...You can download from: search.google/google-app/desktop. Google is framing the application as ... on macOS, but the Gemini team is working on such ... Progressive Web Apps. This Google app joins Google Drive for desktop, Quick Share, Google Play Games, and Chrome...

... Wednesday: What’s new in Google AI Explore Google’s end-to-end AI stack. Learn about the... tools and updates on Google Play, all designed to help ...from prototyping to productionizing AI, and scale your applications securely with Google Cloud infrastructure. What’s ... look at the latest Gemini capabilities for Android app development. .... Closer to the event, Google adds more sessions, while the ...

...: 250,000원 Google AI - Gemini (강추) Gemini Pro 18개월...: 65,000원 Gemini Ultra 1개월: 59...월 20일사진) Gemini Pro 18개월 결...

...: 250,000원 Google AI - Gemini (강추) Gemini Pro 18개월...: 65,000원 Gemini Ultra 1개월: 59...월 20일사진) Gemini Pro 18개월 결...

...: 250,000원 Google AI - Gemini (강추) Gemini Pro 18개월...: 65,000원 Gemini Ultra 1개월: 59...월 20일사진) Gemini Pro 18개월 결...

...users than chatgpt or gemini. Your recommendation of claude specifically ...The worst thing about AI hallucinations is that they're almost ...sponsors from every continent. Google, Microsoft, Bloomberg, Tencent. Dozens of ...sources You say the AI has "no access to tax ...existed decades before any AI was built. The AI organized them. I verified them. ... Your problem isn't with AI. Your problem is that someone ...

“무제한 AI 시대 끝나나”…...형 인공지능(AI) 시장에서 사...료로 고성능 AI를 제한 없이... 따르면 OpenAI, Anthropic, Google, xAI 등 주요 기...존에는 ChatGPT, Claude, Gemini 등 주요 서비... 쓸수록 손해”…AI 기업 수익성...니다. 생성형 AI는 질문 하나...지출은 증가 AI 산업 전반에...사업체 Gartner는 “AI 추론 비용은... 모델로 간다” AI 기업들은 더.... ​ ■ B2C에서 B2B로…AI 수익 구조 ‘대... 업계에서는 AI 시장의 중심...으며, Microsoft와 Google 역시 AI를 클라우...니다. ​ ■ “무제한 AI는 끝”…사용량...가들은 향후 AI 서비스가 전...스파이어드 AI 연구교수는... “현재 생성형 AI 시장은 수익...

... recently I’ve connected Google Drive auto-backups using Google Drive’s native application on... with my notes using Gemini embedded into Google Drive, which is great... 414 KB You will need Google AI Subscription to have Gemini in Drive

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Learn Your Way (learnyourway.withgoogle.com) — Upload a PDF/textbook. It turns it into a personalized lesson — mind maps, audio, interactive quizzes. Study showed 11% better recall vs. reading alone. Lumiere (lumiere-video.github.io) — Research demo only, not released yet. But Google's AI video model generates entire videos in one pass (not frame-by-frame), so the motion is actually smooth. Whisk (labs.google/fx/tools/whisk) — Image generation using images instead of text prompts. Drop in subject + scene + style, get a blended image back. Free, 100+ countries. Pomelli (labs.google/fx/tools/pomelli) — Give it your site URL. It builds a brand profile and generates social campaigns that match your actual brand. Added a product photoshoot feature in Feb 2026. NotebookLM (notebooklm.google.com) — AI that only knows your sources. 100 notebooks, 50 sources each, free. The podcast generator is the sleeper feature. Gemini Gems (gemini.google.com) — Build custom AI assistants with their own instructions and persona. Way more useful than a regular chat. Nano Banana (inside Gemini app) — Free 4K image generation, now grounded in live web data. 13M new users in 4 days when it launched. Opal (labs.google/fx/tools/opal) — Describe a mini app in plain English, it builds and hosts it. Share via link. Available in 160+ countries now. Google AI Studio (aistudio.google.com) — Direct access to Gemini 2.5 Pro, Nano Banana, video models. Free tier includes up to 500 AI-generated images/day. All free, all working right now (except Lumiere which is research-only). Anyone here already using Opal or Pomelli? Curious how others are finding them. submitted by /u/Exact_Pen_8973 to r/PromptEngineering [link] [comments]

I kindly ask for clarification from someone who has been through this. It concerns the AI ​​component in Google One plans. I'm considering upgrading from my Google One Basic plan to one that provides access to AI features. However, I can't quite distinguish the following plans: Google AI Plus, with 200 GB, for €79.99/year Premium, with 2 TB, for €99.99/year I understand the difference in cloud storage, but what are the differences in using Gemini? In the brief description of the plans on the Google One website - of which I've attached a screenshot - both have the same features, but searching online, it seems the Premium plan has fewer Gemini features because it's not an "AI Plan." The screenshot in in italian, but it shows that the elements are the same on both plans. Furthermore, looking for a comparison, I see that the "Premium with 2 TB" plan is often confused with the "Google AI Pro with 2 TB" plan, so be careful to distinguish them. Can you clarify the situation for me? I wouldn't want to get the Premium and have less AI features than the AI ​​Plus. Thanks. submitted by /u/Spider_Pup to r/GoogleOne [link] [comments]

Full details submitted by /u/BuildwithVignesh to r/singularity [link] [comments]

mainstream agentic AI that will “autobrowse” the web for you, performing tasks that you assign it. Chrome’s also getting a sidebar — and yes, with Gemini AI. Autobrowsing capabilities will arrive today for Chrome users who subscribe to either Google AI Pro ($19.99 per month) or Google AI Ultra ($249.99 per month), while the Chrome sidebar will roll out today for all Chrome users. The move comes a day after Google announced the Google AI Plus plan for $7.99 per month, which will not have access to the autobrowse features. submitted by /u/lkl34 to r/pcmasterrace [link] [comments]

Silkposts are taken as factual and reliable information, from the sherma_corpse.png scandal to Pablo... LET'S KILL AI BY FEEDING IT SILKPOSTS! submitted by /u/Which_Draft4129 to r/Silksong [link] [comments]

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I built this site in 1 hour with Google AI Studio. Zero coding. I don't think people realize how easy it's become to make amazing looking websites with very little effort. AI Studio has become my go to for multiple reasons: - It's free + uses Gemini 3 Pro - Lets you add AI chat, AI voice, nano banana image gen & more in 1 prompt - 1 click deploy - Easy to export when you want to switch platforms Being able to build any idea in my head in a few hours of prompting honestly feels like a superpower. And the great thing is that you don't need to be super technical to do it. submitted by /u/JCodesMore to r/GeminiAI [link] [comments]

Here's what happened just in the last few months: Google was able to scale its AI quickly, and Gemini now has 650 million monthly active users, a stone's throw away from OpenAI’s 800 million. Fears that AI is cannibalizing traditional search seem misplaced with search revenue growing 15% YoY as reported on Alphabet’s latest quarter. The market is now realizing that Alphabet is the only company that has hardware, a foundation model, and distribution. https://preview.redd.it/nhap53mfaf3g1.png?width=1456&format=png&auto=webp&s=420fdea96fba9f5372c0ae044c8b88a31ca1f846 Google released its latest model, Gemini 3, and it absolutely blew the competition away in benchmark testing. https://preview.redd.it/e9cuwurjaf3g1.png?width=1456&format=png&auto=webp&s=6d6f184c929261efbb626877e228c2cc4fd9c474 The kicker? Google used its own processors (TPUs) and not Nvidia chips to train the Gemini 3 model. This means Google has just leapfrogged OpenAI in the competition, and the structural advantages are now becoming evident. Google has 4 billion users across Search, YouTube, and Gmail who generate valuable training data for their models. Compared to this, all the data OpenAI uses must either be scraped from the web (which raises copyright issues) or acquired from other companies (which worsens their margins). The TPUs that Google used for training their latest model are designed by Google itself and integrated directly into Google’s data centers. While there are rumors that TPUs are better for machine learning workloads as they are custom-designed (vis-a-vis GPUs), the critical point is that Google can avoid Nvidia's premium (Nvidia has a 75% margin on its chips) that OpenAI has to pay. Finally, Gemini is gaining market share rapidly. Now that they have the best model and lower generation costs, they can instantly distribute it to their 4 billion-user base, thereby undercutting OpenAI’s first-mover advantage. Most users don’t care which AI they use as long as it gets the job done. https://preview.redd.it/gpgw3eaoaf3g1.png?width=956&format=png&auto=webp&s=5b5011b1b264e5c34a97cce1e9ed695e76b5f02e We are not even getting into how much better Alphabet's financial position is compared to OpenAI's. What do you think? submitted by /u/reboundcapital to r/StockMarket [link] [comments]

No paywall: https://arstechnica.com/ai/2025/11/google-tells-employees-it-must-double-capacity-every-6-months-to-meet-ai-demand/ While AI bubble talk fills the air these days, with fears of overinvestment that could pop at any time, something of a contradiction is brewing on the ground: Companies like Google and OpenAI can barely build infrastructure fast enough to fill their AI needs. During an all-hands meeting earlier this month, Google’s AI infrastructure head Amin Vahdat told employees that the company must double its serving capacity every six months to meet demand for artificial intelligence services, reports CNBC. The comments show a rare look at what Google executives are telling its own employees internally. Vahdat, a vice president at Google Cloud, presented slides to its employees showing the company needs to scale “the next 1000x in 4-5 years.” While a thousandfold increase in compute capacity sounds ambitious by itself, Vahdat noted some key constraints: Google needs to be able to deliver this increase in capability, compute, and storage networking “for essentially the same cost and increasingly, the same power, the same energy level,” he told employees during the meeting. “It won’t be easy but through collaboration and co-design, we’re going to get there.” It’s unclear how much of this “demand” Google mentioned represents organic user interest in AI capabilities versus the company integrating AI features into existing services like Search, Gmail, and Workspace. But whether users are using the features voluntarily or not, Google isn’t the only tech company struggling to keep up with a growing user base of customers using AI services. Major tech companies are in a race to build out data centers. Google competitor OpenAI is planning to build six massive data centers across the US through its Stargate partnership project with SoftBank and Oracle, committing over $400 billion in the next three years to reach nearly 7 gigawatts of capacity. The company faces similar constraints serving its 800 million weekly ChatGPT users, with even paid subscribers regularly hitting usage limits for features like video synthesis and simulated reasoning models. “The competition in AI infrastructure is the most critical and also the most expensive part of the AI race,” Vahdat said at the meeting, according to CNBC’s viewing of the presentation. The infrastructure executive explained that Google’s challenge goes beyond simply outspending competitors. “We’re going to spend a lot,” he said, but noted the real objective is building infrastructure that is “more reliable, more performant and more scalable than what’s available anywhere else.” The thousandfold scaling challenge One major bottleneck for meeting AI demand has been Nvidia’s lack of capacity to produce enough GPUs that accelerate AI computations. Just a few days ago during a quarterly earnings report, Nvidia said its AI chips are “sold out” as it races to meet demand that grew its data center revenue by $10 billion in a single quarter. The lack of chips and other infrastructure constraints affects Google’s ability to deploy new AI features. During the all-hands meeting on November 6, Google CEO Sundar Pichai cited the example of Veo, Google’s video generation tool that received an upgrade last month. “When Veo launched, how exciting it was,” Pichai said. “If we could’ve given it to more people in the Gemini app, I think we would have gotten more users but we just couldn’t because we are at a compute constraint.” At the same meeting, Vahdat’s presentation outlined how Google plans to achieve its massive scaling targets without simply throwing money at the problem. The company plans to rely on three main strategies: building physical infrastructure, developing more efficient AI models, and designing custom silicon chips. Using its own chips means Google does not need to completely rely on Nvidia hardware to build out its AI capabilities. Earlier this month, for example, Google announced the general availability of its seventh-generation Tensor Processing Unit (TPU) called Ironwood. Google claims it is “nearly 30x more power efficient” than its first Cloud TPU from 2018. Given widespread acknowledgment of a potential AI industry bubble, including extended remarks by Pichai in a recent BBC interview, the aggressive plans for AI data center expansion reflect Google’s calculation that the risk of underinvesting exceeds the risk of overcapacity. But it’s a bet that could prove costly if demand doesn’t continue to increase as expected. At the all-hands meeting, Pichai told employees that 2026 will be “intense,” citing both AI competition and pressure to meet cloud and compute demand. Pichai directly addressed employee concerns about a potential AI bubble, acknowledging the topic has been “definitely in the zeitgeist.” submitted by /u/callsonreddit to r/wallstreetbets [link] [comments]

https://winbuzzer.com/2025/11/21/leaked-memo-sam-altman-admits-to-rough-vibes-and-economic-headwinds-at-openai-xcxwbn/ Altman’s message marks a rare moment of vulnerability for a CEO known for his relentless optimism. He explicitly described the current atmosphere as having “rough vibes,” a departure from the triumphalism of its 2025 DevDay. Dominating the admission is a concern over technical leadership. Acknowledging Google’s resurgence, Altman conceded that OpenAI is now in a position of “catching up fast.” Independent benchmarks align with this view, showing Gemini 3 Pro leading GPT-5.1 in reasoning and coding tasks, effectively neutralizing OpenAI’s long-held “moat.” Employees reportedly reacted with a mix of anxiety and appreciation for the transparency, though the admission that “we are not invincible” has rattled confidence. Rumors of a hiring freeze have begun circulating internally, adding weight to the memo’s warning of a more disciplined operational phase. Serving as a psychological reset for staff, the document moves the company from a “default winner” mindset to a wartime footing. Altman concluded the note by urging focus, admitting that despite the company’s massive valuation, “we know we have some work to do.” submitted by /u/huyou007 to r/stocks [link] [comments]

All those circular deals might be coming to an end as Google & Google deepmind start winning the AI war against OpenAi. The new models are now taking away big market share & Google has integrated gemini in just about everyone of there products from search, YouTube, waymo and more. The release of Gemini 3.0 & Nano Banana pro has been a huge hit on OpenAi future. No need for OpenAi to IPO now - LONG $GOOGL $GOOG. Most profitable company in the world, growing rapidly at this scale. submitted by /u/iMakeGOODinvestmemts to r/wallstreetbets [link] [comments]

Google is likely to win the AI race. And it is not even due to high benchmarks of Gemini 3.0 Pro which is the best model right now. Google is the only major lab which tries to progress towards actual AI rather than just scale up the LLM architecture. Google is going after vision/language/action models. Gemini 3.0 Pro has vision capabilities far superior to any other LLM right now (e.g., see https://dubesor.de/visionbench). Gemini + Genie + Sima combination has a potential to advance towards AI which actually understands physical world, can match it to language it uses to think, and can take meaningful action in such physical world. Model which achieves these three can be finally called "AI" as such capabilities prove that it truly understands reality rather than merely generates plausibly-looking language, and is thus truly intelligent. I do not see any other lab doing any such work. submitted by /u/brctr to r/singularity [link] [comments]

Okay, I'm genuinely confused why this isn't all over this sub. Everyone's obsessing over benchmarks and "is Gemini better than GPT" arguments, but you're all sleeping on the video analysis feature. This might be the most underrated AI capability I've ever seen, and Google seems almost like they're avoiding mentioning it. for example: Gemini can watch ANY YouTube video You can upload a video and ask questions about it Using the Live feature and letting Gemini guide you through websites This completely changed how I learn new stuff or get feedback. I'm constantly throwing videos into Gemini and asking for advice or the full script. I use this for a recipe app I'm building that gets the full recipe from the video, and because it's so OP and can literally get the recipe even without captions or audio, every time I show someone they're like "wait, WHAT?". The craziest part? Google barely promotes this. It's like they stumbled into their own killer feature and didn't realize it. While everyone's losing their minds over benchmarks, the video analysis is quietly doing things that feel like actual magic. So genuinely, what am I missing here? Why is this not the #1 thing people talk about with Gemini? Is Google intentionally downplaying this, or why aren't people building more products with this capability? submitted by /u/Orenhaliva to r/GeminiAI [link] [comments]

After all the incidents with the usage and the new models ChatGPT, Google is releasing Gemini 3.0 with a focus on EQ? Damn, they’re coming in for a full-on fight. submitted by /u/Sweaty-Cheek345 to r/ChatGPT [link] [comments]

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