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Google introduced Nano Banana 2 (Gemini 3.1 Flash...
Google introduced Nano Banana 2 (Gemini 3.1 Flash Image), a faster and lower-cost successor to its flagship image generator that produces images in seconds and supports iterative editing. Built on Gemini 3 Flash, it ranks among the top text-to-image systems while cutting image generation costs roughly in half. Learn more in The Batch https://t.co/GrqauANIK4
🚨 Gemini Pro 1 Year Giveaway! 🚨 ✨ Gemini 2.5 Pr...
🚨 Gemini Pro 1 Year Giveaway! 🚨 ✨ Gemini 2.5 Pro 💰 1000 AI Credits/Month 🎬 Veo 3 + Flow AI + Whisk 📚 NotebookLM 📩 Gmail & Docs Integration To Enter: 1️⃣ Follow @chamakin_ai 2️⃣ Like & RT 3️⃣ Comment “ Send.” ⏳ 48 Hours Only. https://t.co/xwwfAZFCnM
🚨 Gemini Pro 1 Year Giveaway! 🚨 ✨ Gemini 2.5 Pr...
🚨 Gemini Pro 1 Year Giveaway! 🚨 ✨ Gemini 2.5 Pro 💰 1000 AI Credits/Month 🎬 Veo 3 + Flow AI + Whisk 📚 NotebookLM 📩 Gmail & Docs Integration To Enter: 1️⃣ Follow 2️⃣ Like & RT 3️⃣ Comment “ Send ” ⏳ 48 Hours Only. https://t.co/Q0XlQhjbbM
📢Introducing Gemini 3.1 Flash-Lite, our fastest a...
📢Introducing Gemini 3.1 Flash-Lite, our fastest and most efficient model, built for high-volume workloads. It outperforms 2.5 Flash in reasoning, reliability, and scalability at a lower cost. This model also introduces thinking levels. You can adjust compute by complexity of the task, burning zero thinking overhead on high-volume tasks, while reasoning through the complex edge cases. Maximum intelligence, minimal latency. Read more: https://t.co/FRhfbzigbv
LangChain Community Spotlight: Agentic Company Res...
LangChain Community Spotlight: Agentic Company Researcher 🔍 Guy Hartstein's multi-agent system automates company research reports via 8 specialized nodes. Leverages Tavily, Gemini 2.5 Flash, and GPT-4 with graph-based patterns ideal for LangGraph. Check it out: https://t.co/1NRrF3EZRm | https://t.co/1oi375dWa3
🚨 Gemini Pro 1 Year Giveaway The smartest AI set...
🚨 Gemini Pro 1 Year Giveaway The smartest AI setup you’ll use in 2026 🔥 ✨ Gemini 2.5 Pro 💰 1000 AI Credits/Month 🎬 Veo 3 + Flow AI + Whisk 📚 NotebookLM + Gmail & Doc Create faster. Work smarter. Win bigger To Enter 1️⃣ Follow @polash_ai 2️⃣ Like & RT 3️⃣ Comment GEMINI ⏳ 48 Hours Only
99% of AI agents are garbage. OpenClaw is the 1%....
99% of AI agents are garbage. OpenClaw is the 1%. It lives inside Telegram, Discord, and Slack at the same time. New update just dropped: → GPT 5.4 and Gemini 3.1 built in — both free → Remembers everything, even after you restart → Searches the web, runs code, manages your files → Spawns its own sub-agents to finish the job → Auto-converts iPhone photos before your AI even sees them Zero cost. Zero subscription. You're still paying $50/month for tools that do less than this.
Microsoft Research + Salesforce just dropped a pap...
Microsoft Research + Salesforce just dropped a paper that should scare every single AI builder right now. They tested 15 of the top models (GPT-4.1, Gemini 2.5 Pro, Claude 3.7 Sonnet, o3, DeepSeek R1, Llama 4) across 200,000+ simulated conversations. The results are actually terrifying. If you give a model a single-turn prompt, it hits 90% performance. But if you have a multi-turn conversation? it plummets to 65%. same model. same task. just.. talking normally. The crazy part is that the ai isn't getting dumber (aptitude only dropped 15%). the problem is that unreliability EXPLODED by 112%.. Here is exactly why they break: → they answer before you finish explaining, and those wrong assumptions get baked in permanently → they fall in love with their first wrong answer and just keep building on it → they completely forget the middle of your conversation → longer responses introduce more assumptions, which means more errors Even the new reasoning models failed. o3 and deepseek r1 performed just as badly. giving them extra "thinking tokens" did absolutely nothing. setting temperature to 0? still broken. Every benchmark we celebrate is tested in perfect, single-prompt lab conditions. but real conversations break every model on the market and nobody is talking about it.. The only fix right now? stop chatting. Give your AI everything upfront in one massive message instead of going back-and-forth.
谷歌最新模型Gemini 3.1 Flash-Lite已出，比Gemini 2.5 Flash首字响...
谷歌最新模型Gemini 3.1 Flash-Lite已出，比Gemini 2.5 Flash首字响应时间快2.5倍，输出速度提升45% 价格上，输入$0.25，输出$1.50，较上一代输入便宜了 17%，输出便宜了40% 几个关键成绩： 在 https://t.co/qKtHKMcF8S 排行榜上获得1432 Elo GPQA Diamond达到 86.9% MMMU Pro达到 76.8% 还支持调节"思考级别"，可以灵活控制模型在执行任务时的思考深度，来保持成本和复杂推理需求之间的平衡 主打一个快，性价比高。可以用于大规模翻译、内容审核、实时客服、UI生成、模拟创建以及低延迟应用场景 #Gemini31FlashLite #谷歌最新模型 #LLM
Google dropped Gemini 3.1 Flash Lite (in preview)...
Google dropped Gemini 3.1 Flash Lite (in preview) . Built to be extremely fast and cheap for developers handling massive amounts of data. - Super cheap pricing - only $0.25/$1.50 for 1 million input/output tokens - Achieves a 2.5x faster Time to First Token (TTFT) and a 45% increase in overall output speed compared to its predecessor. - On the GPQA Diamond benchmark—a measure of expert-level reasoning—Gemini 3.1 Flash-Lite scored 86.9% - and 76.8% on a visual understanding test called MMMU Pro. - A standout feature is that it includes adjustable thinking levels built right in. developers to programmatically toggle between Minimal, Low, Medium, and High reasoning intensities. This provides granular control to balance latency against reasoning depth depending on the task’s complexity. This flexibility is perfect for simple chores like translating thousands of documents, but it also handles much harder jobs like generating complex user interfaces. - supports multimodal inputs (text, image, video) while maintaining a standard 128k context window. This release forces the entire industry to rethink how they price software, proving that raw speed and low cost do not require sacrificing high-level reasoning.
2/23（月）70分ジョグ 🗒️14.53km 🔧Free 👟アディゼロSL2 体をほぐす程...
2/23（月）70分ジョグ 🗒️14.53km 🔧Free 👟アディゼロSL2 体をほぐす程度に 引き続き調子は悪くないな #Gemini3 #まるお製作所RC https://t.co/lQCziL9X3F
👀 If you're an open-source maintainer and are in...
👀 If you're an open-source maintainer and are interested in getting free early access to something rad that's built with Gemini, send a DM. JavaScript, TypeScript, Python preferred – but any open-source project works! 🤫 https://t.co/oCASviK4px