凡尘

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凡尘

凡尘

@Fanchenv3

烦恼来源于自己的精神内耗

Katılım Eylül 2015
2.1K Takip Edilen988 Takipçiler
凡尘
凡尘@Fanchenv3·
X Money据说来了,就是不知道容易封号不😂
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凡尘
凡尘@Fanchenv3·
@gdb I love ChatGPT Work because it turns ideas into clear plans, speeds up tasks, and makes work simpler and more efficient
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Greg Brockman
Was very cool to hear about the reasons people love Sol. We're doing the promotion again, except this time for ChatGPT Work: Tweet what you love about ChatGPT Work, claim $100 in free credits, get more work done. First 10k get the free tokens: share-chatgpt-work.openai.chatgpt.site
Tibo@thsottiaux

Or… what if we gave you $100 in Codex credits if you tell us what you love about GPT-5.6 Sol or why you switched? Tweet it, claim your gift, enjoy more usage. First 10k get the free tokens! switch-to-codex.openai.chatgpt.site

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赵纯想
赵纯想@chunxiangai·
痛失机长位置😭 日活3500 + 妖怪网站,把榜单给秒了😭 而每一个日活都动态 +1 里程,导致头等舱 No.1 位置丧失
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凡尘
凡尘@Fanchenv3·
@chunxiangai 添加一件产品行李,非必填项也需要填写吗,提交显示【请求参数无效】
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凡尘
凡尘@Fanchenv3·
@EvanWritesX 昨天收到卡激活了,但是ChatGPT的验证码死活收不到,官方发的短信是正常可以收到的,不知道购买的卡是不是有问题,40购买的卡
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OpenAI
OpenAI@OpenAI·
Codex now works directly in Chrome on macOS and Windows. It’s even better at working with apps and sites in Chrome, and now works in parallel across tabs in the background without taking over your browser. To get started, install the Chrome plugin in the Codex app.
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Jason Young
Jason Young@Jason_Young1231·
ccswitch.io 新增使用攻略板块,欢迎大家自荐~
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Tencent Hy
Tencent Hy@TencentHunyuan·
We're open-sourcing Hy-MT1.5-1.8B-1.25bit — a 440MB translation model that runs fully offline on your phone, supports 33 languages, and outperforms Google Translate. At 1.8B parameters, it matches commercial translation APIs and 235B-scale models on standard benchmarks. By quantizing to 1.25-bit, memory drops from 3.3GB (FP16) to 440MB — 25% smaller and ~10% faster than prior 1.67-bit approaches, with no accuracy loss. Covers 33 languages, 5 dialects, and 1,056 translation directions including minority languages like Tibetan and Mongolian. Our translation model has won 30 first-place rankings in international MT competitions and is already deployed across multiple Tencent products.🏆 📲Demo APK (Android): huggingface.co/AngelSlim/Hy-M… 🤗Hugging Face:: huggingface.co/AngelSlim/Hy-M… 🔗GitHub: github.com/tencent/AngelS… 📄Paper: arxiv.org/abs/2601.07892
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Xiaomi MiMo
Xiaomi MiMo@XiaomiMiMo·
Xiaomi MiMo-V2.5 is now officially open-sourced! MIT License, supporting commercial deployment, continued training, and fine-tuning - no additional authorization required. Two models, both supporting a 1M-token context window : • MiMo-V2.5-Pro: built for complex agent and coding tasks, ranking No.1 among open-source models on GDPVal-AA and ClawEval • MiMo-V2.5: a native omni-modal model with strong agent capabilities A model's value isn't measured by rankings alone — it's measured by the problems it solves. Let's build with MiMo now! 🤗 Weights: huggingface.co/collections/Xi… 📄 Blog: #blog" target="_blank" rel="nofollow noopener">mimo.xiaomi.com/index#blog
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Qwen
Qwen@Alibaba_Qwen·
🚀 Introducing Qwen3.6-Max-Preview, an early preview of our next flagship model Highlights: ⚡️ Improved agentic coding capability over Qwen3.6-Plus 📖 Stronger world knowledge and instruction following 🌍 Improved real-world agent and knowledge reliability performance Smarter, sharper, still evolving. More Qwen3.6 models to come. Stay tuned! 🔗👇 Blog: qwen.ai/blog?id=qwen3.… Qwen Studio: chat.qwen.ai/?models=qwen3.… API: modelstudio.console.alibabacloud.com/ap-southeast-1…
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凡尘
凡尘@Fanchenv3·
@thsottiaux To rectify this mistake, shouldn't we reset it again?
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Tibo
Tibo@thsottiaux·
Hi! Getting a lot of questions on Pro plan rate limits, so I wanted to clarify a few things: - Your Pro $100 plan includes at least 10x Plus usage, till May 31 with the 2X usage boost. - Your Pro $200 plan includes at least 20x Plus usage, till May 31 with the 2X usage boost. This is also the SAME usage this plan had since the 2x promo in February; we previously didn't document this explicitly. Now to address the confusion. Our pricing page says "5x or 20x usage", and many of you very understandably took it to mean "10x and 40x" given then 2X usage boost. That's our fault. We mixed up two things in a confusing way on that page - (1) sharing that the Pro $100 launched with a 2x boost, making it 10x Plus till May 31 and (2) sharing that Pro $200 retained its 2x boost and sharing for the first time that this equates to 20x Plus. We're going to update our pricing pages to make this clearer. Sorry it wasn't as clear as it should have in the first place.🫥
am.will@LLMJunky

There seems to be some confusion on what ChatGPT plans give you, and what bonuses are active right now. I got you. ChatGPT Plus $20 = 1x NO ACTIVE BONUS ChatGPT Pro Lite $100 = 5x with a 2x Bonus (10x) ChatGPT Pro $200 = 20x with a 2x Bonus (40x) The bonus is ONLY for Pro plans. It includes BOTH $100 & $200 Tiers They both end May 31st. THANK YOU FOR YOUR ATTENTION TO THIS MATTER. SIGNED AMW

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凡尘
凡尘@Fanchenv3·
@xiaohu 准确率很高,前几次每次都是必中
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小互
小互@xiaohu·
小道消息 : GPT Image 2 图像模型 今晚发布
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凡尘
凡尘@Fanchenv3·
X这个自动翻译是半成品吗 为什么和之前一样还是得手动才行
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Sarah
Sarah@AIwithSarah_·
Nano Banana 2 on Gemini. Prompt: Maintain the same face and person (use attached photo for accurate face) A self-portrait of a young woman with long, dark, wavy hair looking directly into the camera. She is standing in front of a round or oval mirror, reflected in which is her holding a vintage or analog camera. The scene is captured in natural, dramatic sunlight coming from a nearby window,casting strong shadows across the mirror and illuminating the right side of her face and hair with a warm glow. Her expression is soft and contemplative, with one hand gently touching her chin/cheek. Don't change the face preserve face 100%
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Giulia
Giulia@Giulia_4i·
There’s no such thing as a wrong place to catch some sun. Good morning! ☀️ Nano Banana 2 via Gemini App 🍌 Prompt 👇 { "type": "image_prompt", "description": { "subject": { "main": "Uma mulher com cabelo longo, liso e repartido ao meio. Expressão neutra, levemente contemplativa, olhando em direção à câmera.", "details": "Maquiagem sutil do dia a dia. Círculos de flare de lente azul proeminentes sobrepostos ao cabelo e ao rosto." }, "clothing": "Top cropped de manga curta canelado na cor creme com delicado acabamento em renda. Micro shorts jeans branco desgastado. Tênis branco robusto com meias brancas de tornozelo com babados.", "body_type": "Parte inferior do corpo curvilínea com coxas grossas, parte superior esbelta, abdômen exposto.", "pose": "Posição de agachamento profundo, levemente encostada em uma parede de concreto. Mão direita levantada delicadamente próxima ao rosto. Braço esquerdo estendido para baixo.", "setting": "Calçada urbana ao ar livre durante o dia. Parede de concreto texturizada cinza-claro à esquerda. Fundo de rua desfocado.", "props": [ "parede de concreto texturizada" ], "lighting": "Luz solar natural intensa, forte contraluz criando um efeito etéreo e levemente estourado, com flares circulares azuis proeminentes. Sombras bem definidas projetadas no chão.", "mood": "Ensolarado, casual, streetwear urbano, levemente nostálgico.", "color_palette": [ "branco", "creme", "cinza claro", "azul desbotado" ], "technical": { "camera": "Plano médio de corpo inteiro, ângulo baixo ao nível dos olhos do sujeito agachado, profundidade de campo rasa desfocando o fundo.", "style": "Fotografia urbana fotorrealista.", "quality": "Alta resolução, exposição clara, iluminação natural, foco nítido no sujeito com artefatos de lente cinematográficos.", "Aspect _Ratio": "9:16" } } }
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凡尘
凡尘@Fanchenv3·
GPT-6 传言越来越离谱?
Ben Pouladian@benitoz

GPT-6 rumored for April 14 from @iruletheworldmo Unverified leak but the details are worth watching through a hardware lens 2M token context window Natively multimodal $2.50/$12 per million tokens “Superapp” merging ChatGPT, Codex, and Atlas browser into one agent Now connect this to what just happened with @AnthropicAI @bcherny confirmed Anthropic is deprioritizing third-party tool access because agentic workloads don’t fit their capacity model. OpenClaw got cut from subscriptions. Token rationing is here Two of the biggest AI labs are telling you the same thing at the same time: Agentic compute demand is outrunning infrastructure Anthropic can’t efficiently serve it on TPUs. OpenAI is allegedly throwing every GPU at their next model and killing Sora to free up capacity. Both are rationing access This is the Co-Design Thesis The models are ready. The software is ready. The hardware isn’t keeping up. And the hardware that handles agentic workloads best (dynamic, unpredictable, CPU+GPU coherent, memory bandwidth dense) is NVIDIA 2M token context? That’s a Memory Wars problem. KV cache at that scale requires HBM4-class bandwidth. There is no workaround Every frontier lab is converging on the same bottleneck. And Jensen has been building for it for three years The race isn’t to build the best model anymore anon The race is to serve it

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