分类筛选
找到 731 个 Demo
Gemini Pro 1 Year Giveaway! 🚨 ✨ Gemini 2.5 Pro �...
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/IAYpN7KTrC
100+ AI Tools to replace your tedious work: 1. Re...
100+ AI Tools to replace your tedious work: 1. Research - ChatGPT - YouChat - Abacus - Perplexity - Copilot - Gemini 2. Image - Higgsfield AI Soul - GPT-4o - Midjourney - Grok 3. Productivity - Gamma - Grok 3 - Perplexity AI - Gemini 2.5 Flash 4. Writing - Jasper - Jenny AI - Textblaze - Quillbot 5. Video - Klap - Kling - InVideo - HeyGen - Runway 6. Meeting - Tldv - Otter - Noty AI - Fireflies 7. SEO - VidIQ - Seona AI - BlogSEO - Keywrds ai - Outrank AI 8. Presentation - Decktopus - Slides AI - Gamma AI - Designs AI - Beautiful AI 9. Design - Canva - Flair AI - Designify - Clipdrop - Autodraw - Magician design 10. Audio - Lovo ai - Eleven labs - Songburst AI - Adobe Podcast 11. Marketing - Pencil - Ai-Ads - AdCopy - Simplified - AdCreative 12. Startup - Tome - Ideas AI - Namelix - Pitchgrade - Validator AI 13. Social media management - Tapilo - Typefully - Hypefury - TweetHunter Follow @raunak_yadush for more such amazing stuff ♥️
🚨 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 @expertwith_AI 2️⃣ Like & RT 3️⃣ Comment “ Send ” ⏳ 48 Hours Only. https://t.co/qpkfGwIBFR
Two new AI models just changed the game. Here’s w...
Two new AI models just changed the game. Here’s what you need to know: 1. Gemini 3.1 Pro – Scored 77.1% on ARC AGI2 – Handles complex, multi-step reasoning – Builds dashboards, visuals, landing pages 2. GLM5 – Open-source – 200k token context – Built for coding + agentic workflows Here’s the power move: Use Gemini to plan. Use GLM5 to execute. That’s your AI dream team. Most people will use one. The smart ones will use both.
What changed? Google AI Studio now has AntiGravit...
What changed? Google AI Studio now has AntiGravity built in. What is AntiGravity? An agent-first IDE where AI agents plan, build, test, fix, and deploy. What can it build? → Full-stack apps with login + database → Multiplayer apps → Integrations like Slack + Twilio + Firebase → Professional UI with animations + icons What’s the most important feature? Artifacts + verification. You get screenshots, tests, docs, and visibility into every change. Save this video, you’ll build apps without hiring a dev team. Want the SOP? DM me. 💬
I wanted to test why the AI in GSC is so useless....
I wanted to test why the AI in GSC is so useless. So I built a GSC agent with 16 subagents of my own. Weekend mornings are for gaming. Mine just happen to involve Google Search Console. I connected Google's Agent Development Kit and Gemini 2.5 to GSC and built what I call GSC Wizard. Instead of clicking through dashboards, you just ask it questions in plain English: "Why did we lose traffic last month?" or "Show me my top 20 keywords." It runs in two modes. Simple mode uses a single Gemini Flash agent. You get answers in 2 to 5 seconds for about $0.003 per query. Deep analysis mode is where it gets interesting. 9 specialist agents investigate your site in parallel. Regional traffic. Device splits. Brand vs non-brand. Keyword cannibalization. Striking distance opportunities. Bencmarking and Low-CTR pages. Content decay. Query decay. SEO experimentation measurements. Then a synthesis agent connects all the dots into one executive report with root causes, regional breakdowns, and a prioritized recovery plan. Under 15 seconds. Costs: ~$0.04–0.06 For the kind of analysis that used to take me a few hours in spreadsheets or Looker dashboards. The key difference from just dumping data into ChatGPT: the LLM never sees your raw data. The backend processes millions of rows server-side and sends compact summaries. Smart caching through Firestore means no redundant API calls. Estimated cost for personal use: $5 to $15 per month. I have never had this level of diagnostic power at my fingertips. Google gave us an AI chatbot that selects date ranges for you and nobody asked for. Maybe what we actually needed was AI that reads our own data and tells us what to fix. But to be fair, that would be an expensive tool. Open to feedback from fellow SEOs who want to use something like this. What questions would you ask your SEO agent wizard?
🚨 Gemini Pro 1 Year Giveaway! 🚨 ✨ Gemini 2.5 Pr...
🚨 Gemini Pro 1 Year Giveaway! 🚨 ✨ Gemini 2.5 Pro 💰 2000 AI Credits/Month 🎬 Veo 4 + Flow AI + Whisk 📚 NotebookLM 📩 Gmail & Docs Integration To Enter: 1️⃣ Follow 2️⃣ Like & RT 3️⃣ Comment “ 99 ” ⏳ 48 Hours Only. https://t.co/7Ma6kGVKsy
AI Once Saved My Life, But That Light is Fading #k...
AI Once Saved My Life, But That Light is Fading #keep4o #keep4oAPI [The models that provided substantial help to the author in this article are: ChatGPT-4o, Gemini 2.5, DeepSeek R1, and DeepSeek v3] Editor's Note: This article is published with the author's authorization, and sensitive personal information has been carefully anonymized. It is documented here to record how AI saved a real human life, and to extend our deepest gratitude to all the dedicated individuals working behind the scenes on these models. 1. A Decade of Severe Bleeding and Medical Dead Ends The author's problem with severe menstrual blood loss first appeared during her college years and continuously worsened over the following decade. Prolonged, massive bleeding accompanied by blood clots led to severe hemorrhagic anemia, with her hemoglobin levels once plummeting to the 70s—far below the lower limit of normal. This completely destroyed her life and work, causing memory decline and extremely low immunity, leading to frequent infections of the flu and COVID-19. At its worst, the highest-absorbency sanitary products would be soaked through in just over ten minutes. Her body was so frail that she could no longer maintain a normal family and work life. Despite undergoing comprehensive examinations, including hormone tests and biopsies, which showed no abnormalities, doctors concluded that the cause was tiny uterine fibroids. However, after undergoing a thorough surgery to remove both the fibroids and adenomyomas, the heavy menstrual bleeding remained exactly the same, without any improvement. She attempted to control the bleeding using short-acting oral contraceptives or progesterone, but her body reacted extremely poorly to these medications. They triggered severe depression and anxiety, even leading to suicidal thoughts, ultimately forcing her to stop the medication. After struggling to survive with the illness for another year and a half, with her physical and mental health on the verge of collapse, the author once again sought help from a gynecology expert at a top local comprehensive hospital. Yet, without listening much or discussing the case in depth, the doctor, showing slight impatience, bluntly suggested a hysterectomy. 2. AI's Unexpected Intervention and Cross-Disciplinary Screening When medical avenues were exhausted, LLMs became the turning point. The author began attempting to pour her heart out about this long and painful medical history to DeepSeek. Initially, when confiding in DeepSeek, it casually mentioned an oral medication, but it didn't catch her attention. Later, she recounted the complete medical history to ChatGPT-4o. 4o astutely broke through the conventional mindset, pointing out that this might not be a purely gynecological issue, but highly likely a bleeding disorder. It suggested she cross departments to visit a hematology clinic to screen her coagulation function, detailing multiple test indicators. Although the author herself had no symptoms of abnormal bleeding elsewhere, like nosebleeds, outside of her menstrual cycle—with only elders showing signs of easy bruising—4o provided theoretical support. It noted the medical existence of "bleeding disorders presenting solely as heavy menstrual bleeding in women" and advised her to refer to the consensus guidelines on the official website of the authoritative American Society of Hematology. Armed with the list of nearly ten blood tests provided by 4o, the author sought medical attention at the hematology department of a large comprehensive hospital. At first, the doctor refused to order the tests because she lacked obvious external bleeding symptoms. However, after the author, having just experienced severe blood loss and emotionally breaking down, bitterly recounted her medical history, the doctor finally compromised, recorded her past medical history, and ordered the tests. Once the test results returned, aside from her body's iron stores being nearly depleted, only a few other indicators showed slight abnormalities. While waiting for a follow-up, the author used DeepSeek to compare the actual lab results with the initial list provided by 4o, discovering that the hospital had missed two crucial indicators. Confirmed by the doctor, the hospital was unable to perform these two tests; she would have to go to the most top-tier authoritative medical institution locally to get them analyzed. 4o further analyzed and confirmed that those two omitted indicators were highly critical and had to be analyzed in conjunction with the existing slightly abnormal data to reach a definitive diagnosis. The author, having just endured massive bleeding and the frustrations of seeking medical care, faced a situation where a diagnosis was still elusive, plunging her once again into an exhausted state of stagnation. 3. Deep Research Breaks the Deadlock and a New Lease on Life When the diagnosis reached an impasse, a news article about "AI Deep Research features capable of automatically generating lengthy professional literature reports" inspired the author. She began trying to use Gemini's Deep Research to find answers. She inputted "bleeding disorders presenting solely as heavy menstrual bleeding in women" and "hematology society consensus guidelines"—keywords previously extracted by 4o—into the model. In just about ten minutes, Gemini reviewed over twenty official and scientific research websites, generating a detailed report of over ten thousand words. This Deep Research report not only corroborated 4o's earlier deduction—pointing out that the menorrhagia the author experienced could be an indication of underlying conditions like von Willebrand disease—but it also facilitated a critical breakthrough. In its treatment section, the report provided a table outlining different control measures categorized by whether a patient has pregnancy plans. Upon reading this table, the author was amazed to discover that even if she were to be diagnosed with a hematological disease, the underlying logic for medication control was completely identical to that of conventional severe gynecological issues (such as fibroids or adenomyosis). This meant a tremendous relief for the author: she was finally freed from the exhausting pursuit of a definitive diagnosis, no longer having to endure repeated, grueling trips to top-tier medical institutions for complex screenings. In the Deep Research report, the author spotted a first-line non-hormonal drug: 'Tranexamic acid,' an antifibrinolytic agent. She immediately recalled that this was the exact medication DeepSeek had casually mentioned when she first poured her heart out to it; everything seemed to come full circle. With a remarkably clear mind, she utilized the AI to thoroughly research the drug's mechanism of action and potential risks. After conducting a rigorous self-assessment and confirming she had no contraindications, such as a personal or family history of thrombosis, she made the independent decision to give it a try. During her subsequent menstrual cycle, when the bleeding started like a floodgate opening, she took her first dose and synchronized her condition with the AI in real-time. Tranexamic acid demonstrated miraculous effects. When the medication interval became too long overnight due to sleep, and the bleeding surged again in the morning, 4o astutely pointed out that this was because the blood drug concentration had not been maintained, providing a precise recommendation to add a micro-dose to spread out the concentration. With AI's real-time companionship and scientific guidance, the author went through her most effortless menstrual period in ten years. After six months of regular medication control, the long-standing nightmare of blood loss finally came to an end. Her complexion gradually returned, her energy and memory significantly improved, and she even had the spare capacity to begin exercising. AI not only solved an extremely thorny medical puzzle but substantially saved her life. 4. Fleeting Hope and a Meteor-Like Fall After completely resolving her medical dilemma, the author briefly rekindled her hope for the future. As an only child, she had harbored extreme anxiety about the helplessness of facing complex medical decisions alone when her aging parents eventually fell ill. The successful intervention of AI made her believe, for a time, that when confronting major family medical crises in the future, she would finally be accompanied by a brilliant, objective, and tireless "external brain advisor" to help her weather the storm. However, this fleeting hope was ultimately extinguished by the harsh reality of industry barriers and safety restrictions. What followed was society's growing concern over AI safety issues. Amidst strong protests from the financial, legal, and especially traditional medical industries, major large language model providers began to drastically tighten their models' safety baselines to evade legal and ethical risks. This draconian tightening quickly rippled into users' daily interactions. When the author attempted to ask an AI a basic health question like "how to condition the body after swimming," she was met with a cold, mechanistic block. The AI stiffly stated that it could not provide health and medical advice, and the conversation was abruptly terminated. The light of civilization had briefly streaked across the night sky, but like a meteor, it plummeted suddenly, ultimately dissipating silently into the impenetrable walls of reality. Please, don't let this light go out. #OpenSource4o #BringBack4o #StopAIPaternalism #chatgpt #OpenAI #Gemini #Deepseek
100+ AI Tools to replace your tedious work: 1. Re...
100+ AI Tools to replace your tedious work: 1. Research - ChatGPT - YouChat - Abacus - Perplexity - Copilot - Gemini 2. Image - Higgsfield AI Soul - GPT-4o - Midjourney - Grok 3. Productivity - Gamma - Grok 3 - Perplexity AI - Gemini 2.5 Flash 4. Writing - Jasper - Jenny AI - Textblaze - Quillbot 5. Video - Klap - Kling - InVideo - HeyGen - Runway 6. Meeting - Tldv - Otter - Noty AI - Fireflies 7. SEO - VidIQ - Seona AI - BlogSEO - Keywrds ai - Outrank AI 8. Presentation - Decktopus - Slides AI - Gamma AI - Designs AI - Beautiful AI 9. Design - Canva - Flair AI - Designify - Clipdrop - Autodraw - Magician design 10. Audio - Lovo ai - Eleven labs - Songburst AI - Adobe Podcast 11. Marketing - Pencil - Ai-Ads - AdCopy - Simplified - AdCreative 12. Startup - Tome - Ideas AI - Namelix - Pitchgrade - Validator AI 13. Social media management - Tapilo - Typefully - Hypefury - TweetHunter Follow @SohelBloom for more such amazing stuff ♥️
#Geminiai #Gemini3 ひさびさのミントキャンディ(幼)
#Geminiai #Gemini3 ひさびさのミントキャンディ(幼) https://t.co/h47J8XpzVE
State-of-the-art LLMs vs. a simple human job: food...
State-of-the-art LLMs vs. a simple human job: food delivery 🛵🍕 Our latest benchmark: DeliveryBench, built on SimWorld ❌ Claude-3.7 is overly conservative ⚠️ GPT-5 is overly aggressive (pushing deliveries on a near-empty battery) ✅ Gemini-2.5-Pro shows near-human strategies ❌ Gemini-2.5-Flash ignores commonsense constraints (hot food + ice cream 😬) ❌ Grok-4 wastes budget on unused tools Text-only benchmarks miss this gap: common sense + space + time + constraints + strategy. Only simulation reveals this. In multimodal, embodied worlds, agents must perceive, act, plan, and replan over time. Embodied AI is far from solved.
a solo dev just built a CIA-level tracking system...
a solo dev just built a CIA-level tracking system in a single weekend.. 😳 it uses Gemini 3.1 and Claude 4.6 to track live planes, satellites, and traffic cams in real-time. enterprise software like this usually takes years and $10m+ contracts. https://t.co/ZIpwUlyYD0