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Multica - AI Agent 协作统一管理平台 https://multica.ai/ https://github.com/multica-ai/multica https://fxtwitter.com/jiayuan_jy/status/2039241051605791028 感觉适合小团队用起来 将 AI Coding Agent 变成真正的队友。 分配任务、跟踪进度、积累技能 —— 在一个地方管理你的人类 + Agent 团队。 不再需要复制粘贴 prompt，不再需要盯着运行过程。你的 Agent 出现在看板上、参与对话、随着时间积累可复用的技能。支持 Claude Code 和 Codex。 #AI#Tool#DevOps#GitHub#Golang

👊Fatality Package is live The arena burns with fire and lava – the atmosphere of an epic battle returns with the new ❤️CapsGame collection! 🔥 Total supply – 690,000 caps 🔥 Available in all packs: from Common to Legend 🔥 Each cap is a piece of the legendary universe, ready to become a weapon in your collection Collect, trade, and fight – the collection is already waiting for you! #CapsGame#TON#NFT#GameFi

🥴Whoaa! Chip utility is live, and farming has officially begun! Astrologers have announced a month of major updates in #CapsGame. Did you think that chips were just for fun? No, they are not. Now chips can be sent to ❇️ staking and receive CapsGame tokens for them. ❤️$СG Token 🟣 The first phase of farming starts today and will last 10 weeks, during which we will distribute 5% of the total token supply. 🟣 Starting today, 30% of purchases will be sent to the liquidity pool at capsgame-liquidity.ton. 🟣 This is just the beginning, there will be a lot of news and updates in the game over the next 10 weeks. Don't miss out! 📝How does staking work? Where the profile used to be, now lives a new beast called "Token". Let's figure out what that means: ➡️ You have 9 slots available for staking: 6 slots for chips of any collections, and 3 slots only for certain collections, which will change once a week, at 00:00 Moscow time on Wednesdays. ➡️ Each staked token generates a certain amount of tokens per hour (starting with EPIC). ➡️ The higher the grade and popularity of the feature, the higher the generation speed. ➡️ The higher the grade of the chip collection that is staked, the greater the bonus to the generation speed! Still confused? Hit the wiki for the full breakdown Game | Wiki | Chat | NFT collection #CapsGame#TON#NFT#GameFi

◀️--sref 1180446317 --s 950 #Photography#Vibrant#StyleRandom#MidJourney#AiGenLabs#Ai 〰️〰️〰️〰️〰️ main channel📎

◀️--sref 159188116 --s 950🟥 #Photography#Vibrant#StyleRandom#MidJourney#AiGenLabs#Ai 〰️〰️〰️〰️〰️ main channel📎

🔍 Сравнение цен API языковых моделей Разбираемся в ценах на API популярных языковых моделей и находим оптимальные варианты для разных потребностей. Указано вход/выход, 1М. ➡️GigaChat (Sber) Lite / 2 Lite: Простые задачи — 190-200 ₽ за 1M токенов. Бесплатно для физлиц: 900 тысяч токенов на год Pro / 2 Pro: Средние задачи — 1455-1500 ₽ за 1M токенов. Бесплатно для физлиц: 50 тысяч токенов на год Max / 2 Max: Сложные задачи — 1852-1950 ₽ за 1M токенов. Бесплатно для физлиц: 50 тысяч токенов на год Для юрлиц и больших пакетов (от 200M) цена падает ➡️Yandex Cloud (синхронный/асинхронный) YandexGPT 3 Lite: Эконом — 200 ₽ / 120 ₽ . YandexGPT 3 Pro: Умный (аналитика и длинные тексты) — 1200 ₽/ 600 ₽. ➡️Gemini (Google) 2.0 Flash-Light: Эконом — $0.075/$0.30 2.0 Flash: Текст+картинки — $0.10-$0.70/$0.40. Зависит от того, что используете (текст, картинки, аудио) 1.5 Flash-8B: Лёгкие задачи — $0.0375-$0.075/$0.15-$0.30 (зависит от размера запроса: ниже 128K токенов — дешевле, выше — дороже) 1.5 Flash: Быстрые задачи — $0.075-$0.15/$0.30-$0.60 (зависит от размера запроса) 1.5 Pro: Умные задачи — $1.25-$2.50/$5-$10 (до 128K токенов — дешевле, больше — дороже) ➡️DeepSeek V3: Чат — $0.07-$0.27/$1.10 (дешевле ночью: $0.035/$0.55) R1: Умные ответы — $0.14-$0.55/$2.19 (дешевле ночью: $0.035/$0.55) Цена зависит от кэша (hit — дешевле, miss — дороже) и времени суток (ночью скидки до 75%) ➡️Claude (Anthropic) 3.5 Haiku: Быстрый — $0.80/$4 3.7 Sonnet: Умный — $3/$15 3 Opus: Сложные задачи — $15/$75 ➡️OpenAI o3-mini: Эконом-ум — $1.10/$4.40 o1: Сложные задачи — $15/$60 GPT-4o mini: Быстрые задачи — $0.15/$0.60 GPT-4o: Текст+картинки — $2.50/$10 GPT-4.5: Креатив — $75/$150 ➡️Grok (xAI) 2-1212: Текст — $2/$10 2-vision-1212: Текст+картинки — $2+$2/$10 📎Модели самые дешевые: - для простых задач (чат-боты): DeepSeek V3 (ночью) и Gemini 1.5 Flash-8B. - для сложных задач (аналитика, длинные тексты): DeepSeek R1 и Gemini 1.5 Pro. 📌А вы каким API пользуетесь? #ИИ#AI#Нейросети#API ——— #Инструменты ✍️Подписывайтесь: @aiforproduct

OpenAI’s GPT-4o Image Generation debuts with an ELO score in equal first-place in the Artificial Analysis Image Arena, outperforming Recraft V3, FLUX 1.1 [pro] and Gemini 2.0 Flash OpenAI last week launched GPT-4o Image Generation, upgrading ChatGPT’s built-in image generation from the previous system that used OpenAI’s DALL-E dedicated image generator. GPT-4o Image Generation supports both text and image prompt input, allowing image editing with instruction prompting. In our category breakdowns, the model excels particularly at Text & Typography, People: Portraits, Anime and SciFi whereby it holds the top ranking. OpenAI has disclosed that 4o Image Generation is an “autoregressive model natively embedded” within the GPT-4o model used by ChatGPT. However, in their launch ‘demo’ images, OpenAI hints at a hybrid architecture. This could look like an autoregressive transformer generating latent space representations, which are then converted into pixels using diffusion techniques. OpenAI first demonstrated GPT-4o’s ability to output images in May 2024 when GPT-4o was first launched. Google beat OpenAI to a public release of native image generation capability in a modern language model with their Gemini 2.0 Flash native image generation in early March. However, Gemini 2.0 Flash is ranked 27th to GPT-4o’s 2nd in Image Arena. Beyond image generation, we have anecdotally found Gemini 2.0 Flash to be better than GPT-4o for certain image editing tasks where keeping an input image consistent is critical. ➖➖➖➖🔻 💎@Chatgpt_OfficialNews – Stay Updated! ⚡️ 🧠 BOT: @Chatgpt_OfficialBOT #️⃣#OpenAI#AI#GPT#ChatGPT#Chatbot#GPT4O ➖➖➖➖🔺 Link below to see the leaderboard and participate in our Image Arena 🔽

🤖 Graphic designers panicking about losing their jobs to AI-generated art with native image generation capabilities powered by the GPT-4o model Initially available to Pro subscribers, OpenAI plans to extend access to Plus and free users soon. Developers 😄 ➖➖➖➖🔻 💎@Chatgpt_OfficialNews – Stay Updated! ⚡️ 🧠 BOT: @Chatgpt_OfficialBOT #️⃣#OpenAI#AI#GPT#ChatGPT#Chatbot#GPT4O ➖➖➖➖🔺

🤖GPT-4o just got even better in ChatGPT! Here's what's new: ✅ Enhanced instruction-following: Now even better at handling detailed prompts and multiple requests in one go. ✅ Upgraded technical skills: Improved performance on complex technical tasks and coding challenges. ✅ Boosted creativity & intuition: Expect smarter, more intuitive responses to your creative and complex questions. ✅ Less emoji overload: Keeping it professional, but still fun! 🙃 Excited to explore these updates? Try GPT-4o now and see the improvements in action! 🧠 BOT: @Chatgpt_OfficialBOT ➖➖➖➖🔻 💎@Chatgpt_OfficialNews – Stay Updated! ⚡️ 🧠 BOT: @Chatgpt_OfficialBOT #️⃣#OpenAI#AI#GPT#ChatGPT#Chatbot#GPT4O ➖➖➖➖🔺

🤘Trading competition in the $STORM/$USDT 🪙Storm Trade is a decentralized derivatives exchange offering up to x50 leverage. The platform provides high returns on liquidity, low fees, and hosts regular trading tournaments. Want to know more about $STORM? Read this post. When: October 23 — October 28 Prize pool: 1 000 $TON 🎁Prize distribution: 1st place — 69 $TON 2nd-10th place — 45 $TON 11th-20th place — 30 $TON 21st-30th place — 17 $TON Additionally, 30 random participants with a trading volume of over $100 will receive 2 $TON as a bonus! ❤️ Read full terms and conditions✔️ #TON#contest#xrocket#StormTrade

Что-то на этой неделе получилось слишком много вниманияAI, но это финальный пост про него, отвечаю В рамках рабочего эксперимента собрал штуку, которую уже не стыдно назвать мини-инструментом — Design Review Agent v1.0 По сути это жирный AI-агент, который сравнивает реализацию с макетом/референсом, подсвечивает зоны расхождений и на выходе генерирует небольшой отчёт Работает в 4 режимах: 1️⃣ Скриншот из браузера ↔ Картинка дизайна 2️⃣ Скриншот из браузера ↔ Ссылка на Figma 3️⃣ Ссылка на страницу ↔ Картинка дизайна 4️⃣ Ссылка на страницу ↔ Ссылка на Figma Самое кайфовое, что получилось завернуть это в полностью автоматизированный процесс. Есть команды для Cursor, а для Claude/Codex/ChatGPT — тупо запускающая фраза, и всё. То есть, можно в одно действие прогнать дизайн-ревью и сразу получить отчётик по расхождениям Если хотите потыкать, всё расписал человеческим языком на GitHub: 🔗design-review-agent P.s Конечно, это всё ещё баловство, грязь, собачий пот, трусы с черкашами, обоссаный стульчак... но я уже раз пять получал нормальный такой скелет для баг-листа, ещё и с размеченными зонами ошибок. Так что в этом определённо что-то есть. Попробуйте и напишите свои мысли в комменты #AI#frontend#workflow#работа

🇺🇸US Copyright Office Draws the Line on AI Training and Fair Use The U.S. Copyright Office in its recent draft report has concluded that commercial AI training using vast amounts of copyrighted material likely falls outside fair use. While acknowledging that AI training can be transformative, the report stresses that when models generate content competing directly with original works, particularly through unauthorized access, this "goes beyond established fair use boundaries." The message is clear: creators' rights must not be sidelined in the rush to commercialize AI outputs. The Office points to licensing as the practical path forward — not statutory reform. It highlights emerging voluntary agreements but admits they are uneven across sectors. Encouraging licensing markets to mature is seen as the best way to balance AI innovation with intellectual property rights. The goal: ensure that both tech innovators and creative industries continue to thrive without one undermining the other. Although this is a pre-publication version, the report states: "The Office is releasing this pre-publication version of Part 3 in response to congressional inquiries and expressions of interest from stakeholders. A final version will be published in the near future, without any substantive changes expected in the analysis or conclusions." #AI#FairUse#IntellectualProperty