Google Gemini Ai

.... Praktisch bedeutet das: Ist etwa Google Gemini, Claude von Anthropic oder ein... Perplexity, Copilot von Microsoft, Meta AI, Alexa oder Grok installiert, können...

Gemini 3.1 Flash Live: Google verbessert sein Audio-Modell Man verspricht hierbei eine höhere Präzision und geringere Latenzen, was Gespräche mit der KI flüssiger machen soll. Verfügbar ist das Ganze für Entwickler über die API im Google AI Studio sowie für Unternehmenskunden. Gemini 3.1 Flash Live: Google verbessert sein Audio-Modell

...ックなどで、 AIがその共有...で、検索する AI+エンジンの...する https://www.google.com/search?q=AI+%E3%82%A8...いです。 次にAI回答をみる...、安心です」 -- AIに聞いた回...、おっさんがAIに聞いた質...ください -- AI geminiの回答 質問...サービスや AI エンジンの...の Microsoft 内部の AI サービス: PowerPoint...どを司る Productivity AI and Language Models (Palm) と...されます。 Productivity AI and Language Models の略...上のためのAIモデルの呼...くあります（GoogleのAIモデルに...

...면 Google AI Studio에서 로깅 허용으로 Gemini ai...단한 오류는 gemini한테 물어보...

AI is great isn't it? I asked Gemini for guidance on doing something... with Google Workspace, it...

https://gemini.google.com/share/b6749c1915fe   ‎Gemini - direct access to Google AI Created with Gemini gemini.google.com 아님 말고 ㅋㅋ 

... if you don't mind using AI, Gemini can whip up a transcript... the YouTube link, and ask Gemini to get a transcript formatted... in paragraphs or bullet points. Gemini even posts the timestamp for... being signed in with a Google account, and I don't know... works on a phone. https://gemini.google.com/app

...요.. ㅎㅎ Google Study Jam이란? Google Study Jam은...들이 Google Cloud Platform(GCP), 인공지능(AI), 머...니다. 작년에 AI 있고, 올해는...단히 GCP(google console platform)나 gemini, vertex AI, notebook등 구...합니다.) https://sites.google.com/view/2026-study-jams/h1-study-jam 출...

Geminiなら無料分のトークンを使い切ったとか、有料の人が優先になるので混んできたら遅くなるとか蹴られるということもあるはずです。 >AIに色々聞きすぎた 別のAIで検索エンジンやGeminiを使おうとするなどはGoogleにとっては好ましくないので、そういうのと誤認された可能性もありますね。

由於Google度爛各家...計劃。 Gemini說： 在 2026 年的現在，Google 對... 2026-2027 技術藍圖，Google 對 GKI 的未來...內核同步 Google 的終極目標...異。 * 規畫內容： Google 要求所有新...新 從 2026 年起，Google 調整了 AOSP 的...裝置通用性 Google 正在推動 GKI... Automotive (車用) 以及 AI PC 的通用底...感的任務（如 AI 生物辨識、數... 核心。 4. 擴大 Google Play System 更新權...限 Google 計畫進一步... 5 到 7 年內，Google 目標讓全球...備都能透過 Google Play 直推內核...現 0-day 漏洞時，Google 可以在 24 小...備完成修補。 Google GKI 發展時程...的用戶來說，Google 的這個規畫...停止支援，Google 推送的內核...

...終於等到了！Google 旗下最強大...工智能助手 Gemini 手機應用程...驗最先進的 AI 助手服務！ 過...、更流暢地將 AI 融入日常生...能 Nano Banana：目前 Gemini App 的圖像生...語音直接與 Gemini 對話，支援廣...便。 AN機 https://play.google.com/store/apps/details?id...=com.google.android.apps.bard IOS https...

...終於等到了！Google 旗下最強大...工智能助手 Gemini 手機應用程...驗最先進的 AI 助手服務！ 過...、更流暢地將 AI 融入日常生...能 Nano Banana：目前 Gemini App 的圖像生...語音直接與 Gemini 對話，支援廣...便。 AN機 https://play.google.com/store/apps/details?id...=com.google.android.apps.bard IOS https...

用Google AI 做出來的成...把指令丟給Google AI (Gemini)，就可以做出...試玩（要登入Google) 製作示範影...下（複製丟給Gemini即可）===== 請幫我...上（複製丟給Gemini即可）===== 祝各位...

... also push people to use AI for writing replies, generating images... just chatting with the platform's AI, as a way to get... AI. And Google and OpenAI of course also want people addicted to their AI, Gemini...

... fram til det. Har forsøkt Google og Mathway, ser hvordan det......a24 Både chatGPT, claude og gemini har noe kalt lærehjelp, hvor... ikke noe med AI, og heller ikke ved google søk. Anonymkode: ceb73...

... to justify their massive AI spending. Their Google search is still very... of Billions of $ on AI buildout in the scare of ... will take the entire AI space share. The existing Google users are not paying... an extra penny to use their Gemini and... their Products unlike Google. Don't get fooled by comparing Google search with AI. They are...

... 많은 기기에 AI 기능을 확장...는 직관적인 AI의 힘을 더 ...과 향상된 AI 기능을 탑재...함으로써 AI의 보편화를... 제공하고 AI의 빠른 확산...삼성의 최신 AI 혁신 기술을... 수 있습니다. AI Select 2는 엣지...습니다. 또한 AI Select는 멀티 윈... 제공합니다. Google 검색 7 의 ... 5G와 A37 5G는 AI 기반 피사체... 수 있습니다. AI 사용에 연령... 실행할 때 Galaxy AI Select 다운로드... 수 있습니다. AI 기술의 특성... ↩︎ Circle to Search는 Google LLC의 상표입...하세요. ↩︎ Gemini는 Google LLC의 상표입...니다. Gemini Live 기...는 Google 계정과 관리자가 Gemini 접... 학교 Google 계정으로 Gemini를 사용...

... Gemini app gained the ability to produce 30-second tracks with Lyria 3. Google... is now available in the Gemini app for Google AI Plus (10 tracks/day), Pro (... videos.” This is available for Google Workspace customers and Google AI Pro/Ultra “starting this week.” ... tools, music and video platforms. Google AI Studio and the Gemini API: For developers building the ...

Link alla notizia: https://www.hwupgrade.it/news/web/mu...ti_151780.html Google DeepMind sfida Suno e Udio lanciando Lyria 3 Pro, il modello generativo capace di produrre brani completi fino a 180 secondi con controllo granulare su ritornelli e bridge, ora integrato in Gemini e Vertex AI per i professionisti Click sul link per visualizzare la notizia.

Link alla notizia: https://www.hwupgrade.it/news/web/ga...ni_151772.html Gap ha stretto una collaborazione con Google per introdurre il checkout diretto su Gemini, permettendo gli acquisti di vestiti senza uscire dalla piattaforma AI. Prevista l'integrazione del sistema di taglie intelligente sviluppato da Bold Metrics. Click sul link per visualizzare la notizia.

...şu anda ücretli Gemini kullanıcıları ile Vertex AI üzerinden kurumsal müşterilere...durumda. Ayrıca geliştiriciler Gemini API ve Google AI Studio aracılığıyla modele erişebiliyor... destekli video üretim platformu Google Vids’e de entegre etmeye ...başladı. Google, modeli geliştirirken sorumluluk ilkesini...ekleniyor.   Kaynak:https://blog.google/innovation-and-ai/technology/ai/lyria-3-pro/

... Pro: 더 많은 Google 제품에서 더...Lyria를 더 많은 Google 제품 및 플... 있습니다. Google AI Studio 및 Gemini API : 차세... 수 있습니다. Google Vids : Vids는 누... 주부터 Google Workspace 고객 과 Google AI Pro 및 ...으며, YouTube와 Google이 서비스 ...스 약관 및 Google AI 금지 사용 정...결과물에는 Google AI 생성 콘텐츠...다. https://twitter.com/Google/status/2036836307612119488 https://twitter.com...2036858837328945207 출처 : https://blog.google/innovation-and-ai/technology/ai/lyria-3-pro/

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"Ask Maps" powered by Gemini AI. Users can now ask Google Maps complex questions in plain English: "Where can I find a highly rated pressure washing company near me that also does gutter cleaning?" "What's the best-reviewed junk removal company in my area with same-day availability?" And Google Maps answers them pulling from your reviews, your Google Business Profile, your photos, your service details. Everyone's panicking. "AI is going to kill SEO." No. It's going to kill LAZY businesses. Here's what this update actually does: → Google is now RECOMMENDING businesses not just listing them → It pulls from 300 million+ places and 500 million+ contributors → The AI reads your reviews, your GBP, your website, everything → Businesses with complete profiles, real photos, and stacked reviews get SURFACED → Businesses with a bare-bones profile and 12 reviews get buried even deeper This doesn't hurt local SEO. It makes local SEO MORE powerful than it's ever been. Every single thing I do for my clients GBP optimization, review generation, local landing pages, schema markup, NAP consistency just became 10x more important. Because Google's AI is reading your data and decides if you're worth recommending. If your business is optimized? You just got a free AI salesman working 24/7 inside Google Maps telling people to choose you. If it's not? You're invisible and now you're invisible to an AI that's actively sending customers to your competitor. The gap between businesses that invest in their local presence and businesses that don't just went from a crack to a canyon. This is the best thing that's happened to local SEO in years. And for someone like me? It means more demand, not less. Because every home service company in America just realized their Google presence isn't optional anymore it's the entire game. If your Google Business Profile isn't dialed in, your reviews aren't stacking, and your local SEO isn't locked you're about to GET CRUSHED BY SOMEONE THAT HAS A OPTIMIZED PROFILE. submitted by /u/zumeirah to r/localseo [link] [comments]

You can learn more about this update here - https://blog.google/products-and-platforms/products/maps/ask-maps-immersive-navigation/ submitted by /u/dataexec to r/AITrailblazers [link] [comments]

https://blog.google/products-and-platforms/products/maps/ask-maps-immersive-navigation/ Starting to roll out today. US only for now apparently. Us EU/UK gotta sit back and wait 🥲 submitted by /u/howmadstha to r/GoogleMaps [link] [comments]

https://blog.google/products-and-platforms/products/maps/ask-maps-immersive-navigation/?utm\_source=tw&utm\_medium=social&utm\_campaign=og&utm\_content=&utm\_term= submitted by /u/likeastar20 to r/singularity [link] [comments]

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]

Full details submitted by /u/BuildwithVignesh to r/singularity [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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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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