Gemini Ai

...のAIプレミアムプラン（Gemini Advanced...くさいこと。 Gemini Advancedの月額2900...が手間）。 あと、Geminiで文章やス...。どうしてもGemini Advancedを使いた...

[Gemini] 엔비디아 GTC ... 포함 피지컬 AI 스택 발표 ▪...기능] 피지컬 AI 목적 오픈 기...주행차·비전 AI·시뮬레이션...

[Gemini] 엔비디아 RTX ... ➔ ARM 기반 CPU·GPU·AI 결합 RTX Spark 칩...

...://open.kakao.com/o/st6qlxci gemini ai pro .youtube premium #경...

[Gemini] 장전뉴스 ━━━━━━━━━━━━━━━━ ■ 핵...디아 최초의 AI 에이전트 구...스로픽, 오픈AI, 스페이스X...를 확보하며 AI 데이터 센터... 유로 초대형 AI 투자 및 도요...국·중국과의 AI 인프라 경쟁... 최대 규모의 AI 컴퓨팅 클러... 착수 4. 중국 AI 스타트업 미...장 중인 중국 AI 스타트업 미... 파리 외곽의 AI 데이터 센터...

... Samsung Galaxy A17 5G 128GB AI Mobile Phone - Black, including... can capture every moment. Handy AI tools are right there when... run. Smarter, faster, more connected. AI that works for you. Galaxy... next level AI with Circle to Search with Google and Gemini, making it...: 5000mAh battery capacity. Product features: AI built in. MP3 and MP4 ...

Had a play re: Probability of Blu succeeding using AI Chatgpt & Gemini Blu might do? I'll leave to ALL to decide how many might benefit from what appears to be Lifestyle Company after approx. 3 decades of Sweat & perhaps Tears!

[Gemini] 장전뉴스 ━━━━━━━━━━━━━━━━ ■ 핵... 중국 우회용 AI 반도체 수출...를 일축하며 AI 관련주 랠리...월 수출액은 AI 기반 반도체...

https://gemini.google.com/share/acecc5debcd3   ‎Gemini - direct access to Google AI Created with Gemini gemini.google.com 귀도 없는 주제에 음향을 분석하고 청음후기 뽕까지 넣어주다니 기술 발전이 무섭구나...

https://g.co/gemini/share/8f5b94c896d0   ‎Gemini - direct access to Google AI Created with Gemini g.co - dc official App

오우야... 아이디어 너무 좋다. AI 컴페니언의 LLM은 뭐로 돌리누? 가성비 좋은 gemini flash? 아니면 novita 같은데서 오픈모델 돌리누?

[Gemini] 젠슨 황 CEO 코...트 [에이전트 AI 시대 도래 및...석] [에이전트 AI 도래와 소프...대] ▪ 유용한 AI 시대 도래  ➔ 에...이전트 AI(스스로 판단...고 행동하는 AI)가 마침내 현...난 기회이며 AI 에이전트가... 비즈니스와 AI 팩토리 수요... ➔ 현재 생성형 AI가 만들어내...장 경쟁 가속 ➔ AI 기업들이 더... 생산을 위해 AI 팩토리 구축...는 에이전트 AI 시대가 왔고...는 세상이라 AI 팩토리를 지...

...kring att Gemini används som namn på googles AI tjänst och... i Go-E Gemini elbilsladdare. Nedan är vad Gemini ...det ligger till. Namnet ”Gemini” är ett skyddat varumärke för... som använder namnet: go-e Gemini / Gemini flex: Det österrikiska företaget ... och fasta elbilsladdare. Google Gemini: Google skyddar och använder ... inom helt skilda branscher (AI/mjukvara respektive fordonsladdning) har...

...を無視するAI ザ 網羅、 ザ ア...リズム なAIってことで...ー出来ないAI 某AIを皮肉っ...は どこか AIの格争いを...しょ？ 様々なAIが。 AIに本来 競...率etcがあるAIは 私達人に...。 アナログなAI＝あくまでど...ても 検索なAI。健康、健全で...思うので。 AIを開発する...側の人 と AIを利用する...きていない AI。 まぁまぁ致...ろが ですね。 AIってアート...れが苦手なAIは 将来、名...めの例えばAIのはず。 し...す。 そんなAIは嫌いじゃ...か 人過ぎるAI は アナログ...から こんなAIは嫌だ。 ↓ 独り...よがりなAI ですね。 ミラ...ます。 今のAIはなんにも...。 だから 賢いAIより自分は...っと例えばGemini、例えばコパ...。 ↓ 歳とらないAI。 ボォーーッと...しないAI。 そんなAI。嫌い、苦...う。 "ま"に弱いAI。 "うん！"に強い... 守る、そんなAIなら自分は...です(￣^￣) ↓ こんなAIは間違って...

...ロップさん Geminiさんに聞く...回答でした。 AIの情報はア...と、自動運転AI（FSD）の消費電...で走るため、AIコンピュー...通りです。 1. AIコンピュー...ます。これをAIの消費電力...だとしても、AIのせいで短...ラウンドでAIを作動させ...です。むしろ、AI（FSD）に運転を...

... such large Thermal Mass as AI (Gemini for Google ?) explains below.... With...

... direct access to Google AI Created with Gemini g.co 이건...날드 갤러리 AI '맥피티'.... 이곳에 범용 AI 챗봇이 도입...서 활동하는 AI 봇 '맥피티...다. 이는 범용 AI가 특정 집단...가 일반적인 AI라면 절대 취...전은 자신이 AI라는 사실을...을 선택할래? Gemini vs Chatgpt vs Claude 유...저가 주요 AI 모델 간의 비... 요약해 주며 AI로서 해박한...은 "저는 오픈AI에 의해 훈련...습니다. 범용 AI를 특정 커뮤...입니다. 이는 AI가 안전 필터...은 맥피티가 AI라는 것을 알...형(초국지화) AI의 미래: 무색...습니다. 향후 AI 에이전트의...

... have relied on Google's AI Overview aka Gemini, only to end up... for both of the following AI Overviews: “Is more European Union... Space Agency” Extract from the AI Overview returned December 12, 2025... are massive. [...] Extract from the AI Overview (on the SAME search ...

... resource & varying levels of ai from gemini to chatgpt which are not...

想講我之前問AI介紹個啲股升到傻 Crwd Snowflake igv Gemini?

I used to build sites, get ideas, create visuals in Google Gemini, but since the last update few days back everything change It broke my site completely, doesn't understand a single thing, hallucinate a lot lot more now, providing poor images, bad content, and random advices. If you also ask basic questions with no tweaks, it just give bizarre replies. Trying a lot to provide code these days, are you guys also seeing such things? I used chatgpt free version, and it is far far better, canceling my subscription. submitted by /u/ProfessionalTwo8310 to r/GeminiAI [link] [comments]

These new Gemini limits are honestly terrible. The free tier is barely usable now, and even paid users are getting restricted way too fast. Getting forced onto weaker models after hitting limits completely kills the experience. If Google actually wants feedback, then the community needs to make some noise instead of just complaining for a day and moving on. Some things people can genuinely do: Cancel Gemini subscriptions if it’s not worth paying for anymore Spam feedback reports directly in Gemini every time limits ruin something Post screenshots/videos of the limits on Reddit, X/Twitter, YouTube, etc. Leave honest Play Store/App Store reviews mentioning the new restrictions Stop recommending Gemini to friends until things improve Use competitors more openly so Google sees users are leaving Keep discussions trending instead of letting the topic die in 2 days Nobody expects unlimited AI usage, but these limits feel way too aggressive for both free and paid users. submitted by /u/BrilliantNeither7175 to r/GeminiAI [link] [comments]

I just officially cancelled my $20 (₹1,950/mo) Google AI Pro subscription. If you are using it as a developer or integration partner for their desktop environment, Google Antigravity, you need to check your usage dashboard immediately because Google just executed one of the most predatory backend shifts I have ever seen from a major cloud vendor. With the launch of Gemini 3.5 Flash at I/O 2026, Google quietly published a blog post titled "Changes to Antigravity Plans." They completely deleted the old system of independent model rate limits and replaced it with a unified "compute-based" consumption pool. They spun this as a feature giving users "more flexibility." In reality, it is a calculated token trap designed to force solo developers off the baseline $20 tier and pressure them into the new $100/mo or $200/mo Ultra tiers. Here is the exact technical nightmare of how I was entirely locked out of my development workspace for an entire week after sending exactly THREE prompts: 1. The Hidden "Context Tax" is Math-Slamming Your Plan Under the old system, a prompt was a prompt. Under the new compute-based system, Google explicitly bills your quota balance based on the sheer volume of processing effort. When you use an agentic desktop app like Antigravity, the IDE automatically bundles your open workspace files, folder structures, directory indexes, and active session histories to every single message you send. A simple 15-word follow-up question doesn't send 15 words; it repeatedly pushes 100,000+ context tokens into the cloud pipeline. 2. Gemini 3.5 Flash is Way More Expensive Than 3.1 Google is heavily marketing Gemini 3.5 Flash as the fast, default engine for Antigravity's autonomous agent features. What they hid in the API documentation is that Gemini 3.5 Flash costs 6x more to run than the previous Gemini 3.1 Flash-Lite. Because it uses complex background reasoning loops, dependency mapping, and iterative tool calls, hitting "Enter" a single time triggers a massive spike in background compute execution. 3. The 3-Prompt, 7-Day Lockout Reality My exact workflow session went like this: Prompt 1: Opened my full-stack repository and asked a structural question. Antigravity ingested the entire file tree context. Prompt 2: Asked the agent to apply a localized logic edit. The model triggered multiple background reasoning passes to map file dependencies. Prompt 3: Followed up on a small modification. The system sent the original code context, the background loops, plus the massive chat history logs from turns 1 and 2. Because the $20 tier's compute pool is incredibly shallow compared to the enterprise tiers, this massive stack of compound context completely zeroed out my dynamic usage allowance. The system didn't just give me a minor 5-hour cooldown—it slammed into the broader 7-day marathon cap. My paid workspace is now completely bricked and won't respond to code queries for an entire week. Three turns of basic development, and a 2,000-rupee subscription service holds my workspace hostage. I am moving entirely to Cursor Pro with a Bring-Your-Own-Key (BYOK) pipeline. When you exhaust your fast requests in Cursor, the platform doesn't freeze your IDE; it gracefully shifts you to a queued slow lane. If you want to use Gemini, you can route your own Google AI Studio developer keys, pay pennies for exact raw token usage, and never worry about an aggressive corporate gatekeeper cutting off your engineering momentum mid-sprint. Google used I/O this year to completely squeeze individual developers. Do not give them your money for the AI Pro tier. Cancel your plans. submitted by /u/spycops to r/GeminiFeedback [link] [comments]

Gemini has already gotten worse recently but I'm not saying this as a rant but completely honestly and objectively: Gemini has gotten completely useless now (unless maybe if you're getting the Ultra tier). First of all the primary Gemini interface through the Google Android app has become extremely buggy and broken. For months I had issues with prompts not going through/being reset, the interface glitching etc. Now more problems started to appear such as Gemini not outputting thoughts despite having selected the Pro model, new confusing UI elements that don't show you what mode you're in, Gemini censoring and refusing to answer specific questions and obviously giving incorrect answers for "corporate alignment" and worst of all the app is constantly crashing on my phone (every 2-3 minutes, especially when sending a prompt) and therefore keeps deleting the long prompt I just meticulously made. On top of all that they now aggressively reduced the Pro subscription tier's quota. It is completely unusable now and after a few prompts within a single chat you get immediately locked out from both the Pro and Flash model for hours (happens especially quickly with deep research). And there even is a weekly limit now that seems to get filled 12% each session. So you can basically use Gemini 8 short times (maybe 5-20 minutes each depending on your usage) for THE WHOLE WEEK! What on earth is going on here? It basically makes 0 sense now to use Gemini over any other AI chatbot. How can this happen with such a huge company as Google?? The only way I could explain this is that Google is literally trolling now. submitted by /u/expanding-explorer to r/GeminiAI [link] [comments]

As most of you guys know and have experienced, gemini is now much more restrictive with usage and tokens on the Pro plan, and at least for me, with high usage of pro and very big contexts, it's just not usable anymore. I like gemini because it's good, fairly priced (especially considering all the other benefits like 5 TB of storage), and has a good limit, but now it's just sad. Any recommendations on other AIs? submitted by /u/LinkSudah to r/GeminiAI [link] [comments]

Google AI Pro Free Using my referral code http://g.co/g1referral/YBM259BJ Gemini Pro with our latest AI innovations With our most capable AI models Priority access to new features Experience a 1 million token context window Also included in this Google One subscription Gemini in Gmail, Docs, and more 5 TB of storage More benefits across Google submitted by /u/SonOfLoki_Fenrir to r/GeminiAI [link] [comments]

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I keep reading that ChatGPT has fallen off and people I know in IT telling me to use Gemini over it. Maybe best isn't the right word but I guess lately I keep hearing about ChatGPT being worse of the well known AI's. Can someone actually explain why Gemini is better and/or why ChatGPT is worse than before? And just something I notice, Gemini is much slower in loading results compared to ChatGPT. Side question, is premium AI actually useful? submitted by /u/looopious to r/NoStupidQuestions [link] [comments]

I’ve been messing around with the AI influencer space for the last few weeks and wanted to share the process I figured out. I am not claiming this is the best or most advanced way to do it, but it is a simple workflow that worked for me using mostly free tools. The main reason I tried this route was because I already have free Gemini Pro access through my Jio recharge, so I wanted to see how far I could go without paying for expensive tools right away. I am not going to dump a random list of prompts here and pretend that is enough. That is not really useful. Instead, I’ll just explain the actual process I followed step by step, because that is what helped me the most. Phase 1: Getting the base character right The first thing you need is a character that you actually like, because if the starting point is weak, everything after that becomes harder. I started by using the free trial on https://higgsfield.ai/ to generate an influencer-style character. I kept testing until I got a face and overall look that felt usable. Once I had that first image, I downloaded it and took it into Gemini Nano Banana. That is where I started making the small changes I wanted. Things like skin texture, facial features, race, body ratios, and overall appearance. I kept tweaking until I had a final version of the character I was happy with. Phase 2: Building consistency with reference images After I had the final character, I started generating more versions of the same person, but with different poses. For this part, I used different JSON prompts and made sure not to change the character too much. I wanted the same face, same skin texture, same body proportions, same overall identity. The only thing I wanted to vary was pose, angle, and sometimes expression. One thing that helped a lot was always using the previous result as a reference for the next one. That made a big difference in keeping the face and body structure consistent. If you do not do that, the model starts drifting and the character slowly turns into a different person. I kept doing this until I had around 10 to 15 good images of the same character. Phase 3: Creating data model sheets (examples given) This part is really important. If you do not know what a data model sheet is, just Google it OR look at a few examples from the given images. Basically, it is a reference sheet for your character. It helps lock in the face, body structure, expressions, angles, and overall design so the character stays consistent later. To make the sheets, I first used ChatGPT to generate a JSON prompt. I used the DeepThink version because it usually gives better structured prompts. I told it to create a prompt for generating a character model sheet using my reference images. After that, I manually tweaked the JSON prompt so it matched the character better. Sometimes I adjusted the body ratios or the skin tone or small visual details depending on what I wanted. Then I used Gemini to generate the actual model sheet. I did this for different types of sheets because each one serves a different purpose. I made a facial expressions sheet so I could keep the same emotional range. I made a facial structure sheet so I could see the character from different angles. I made a body model sheet so I could keep the full body consistent. I also made sheets for different poses, because I wanted the character to work in different situations and not just one static pose. For every one of these, I followed the same workflow. Use ChatGPT to generate the JSON prompt, tweak it manually, then use Gemini with the reference images to generate the sheet. My rule was simple. ChatGPT was better for making the prompt. Gemini was better for making the image. Phase 4: Generating actual content Once I had the model sheets and a few extra reference images, I could finally start generating the actual influencer-style images. For prompt inspiration, I use a few websites like: https://bestnanobananaprompt.com/gallery https://promptlibrary.space/images These sites are great for ideas. You can find different styles, moods, poses, compositions, and scene setups there. But one thing I learned very quickly is that you cannot just copy a prompt from those sites and expect it to work perfectly in Gemini. A lot of them either get blocked or do not preserve the character properly. So my workflow for this part is basically: I browse those sites and find a prompt style I like. Then I copy that prompt into ChatGPT. Then I ask ChatGPT to turn it into a detailed JSON prompt. I always tell ChatGPT to include a section that strictly maintains the same facial structure, skin texture, tone, and body ratios from the reference images. After that, I review the JSON prompt and make any final changes I need based on the kind of image I want. Then I use that prompt in Gemini Nano Banana. One very important thing here is to use all the character model sheets and the best reference images every time you generate something new. Gemini has a limit on how many reference images it can use, and I think it is around 15 or so. I made sure to use as many useful references as possible because more reference data usually gave me better results. Final thoughts This is honestly a trial and error game. You are not going to get the perfect result on the first try. I definitely did not. Some generations failed, some changed the face too much, some messed up the body proportions, and some just looked off. That is part of the process. But the reason this workflow works is because the data model sheets give the AI a visual blueprint to follow. Instead of guessing what the character should look like every time, you are showing it the same identity from multiple angles and in multiple forms. This is just a simple guide using free tools. There are definitely more advanced workflows out there, and I know the people at the top of the AI influencer game are using tools like ComfyUI, Higgsfield AI, Kling AI, and other more advanced setups to create better images and videos. But this is what I figured out by testing things myself, and it is a good starting point if you want to build a consistent AI character without paying for expensive tools right away. I hope this helps someone who is trying to get started. If there is interest, I can make a part 2 later with the more advanced tools and workflows I look into next. Thanks for reading. submitted by /u/Cold-Control1107 to r/IndianArtAI [link] [comments]

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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]

All of the people who used fake credit cards and fake I'ds to get the offer are being kicked out of the subscription it seems submitted by /u/Rare_Bunch4348 to r/GeminiAI [link] [comments]

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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]

If you use GMail, AI (Gemini) was turned on yesterday by default and now scans all of your content for machine learning. To turn off, go to Settings>General and scroll down. Uncheck the box for "Smart features." There's other "Smart" add-ons as well, but that's the one that reads your content. submitted by /u/lkl34 to r/pcmasterrace [link] [comments]

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