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@pc_queeen печально, желаю успехов, надеюсь, что все наладится

@JonyDony1 даже не знаю

геймдев для россиян окончательно сдох. новые запреты крипты были последним гвоздем, видимо. никто не готов даже из бывших московских студий работать с резидентами рф из-за ограничений 3 года профессионального опыта в помойку, вся твоя ценность на рынке - сборка/доставка заказов

@mirreOr1 @platoff аахахахахха ты угарный, ты про это и говоришь, с приходом интернета появилось много возможностей, которых раньше не было. Мой поинт именно про это - AI даст также много новых возможностей

@JonyDony1 @platoff а количество покупателей у магазинов которые стали глобальными ты посчитал? А количество пользователей сервисов типа геймеров ты посчитал?

На фоне паники заменит ли вас ИИ как работника (конечно заменит), почти отсутствует паника на тему «а будет ли вам в принципе где работать» Между тем смотрим на вот этот «скамкоин». Контора потеряла 99% стоимости из за ИИ, ну и очевидно уже мертва То есть вопрос не только в том, нужны вы будуте или нет, а еще и в том _кому_ вы можете быть нужны. Этих «кому» уже скоро может не быть совсем

@mirreOr1 @platoff Погуглил бы хоть США, 1990–2010) офисные клерки: было ~7.2 млн → ~5.7 млн (минус ~1.5 млн) почтовые работники (United States Postal Service): ~800k → ~580k туристические агенты: пик в 90-х → к 2010 падение почти на треть Технологии всегда сначала забирают

@JonyDony1 @platoff интернет ни у кого ничего не забирал, а давал…давал доступ к новым кастомерам - это рост. AI убивает кастомеров, потому что кастомеры - это люди с ЗП, а у безработных нет ЗП. Еще давай с машиностроением сравни, как тут любят про 🐎 и 🚗🤣

Gemini after Google invested $40,000,0000,000 on Claude

@raxpost нейрокартинки становятся все лучше и лучше, появляется качество. Также будет и с кодом

Claude работает как говно, Тесла сегодня вся в багах, Мета сокращает 100500 тыщ айтишников. Мы кажется входим в полосу тотально гнилого нейрослопного кода повсюду. Когда это станет невыносимо (как нейро картинки в интернете), реально взлетит тот, кто начнет ставить на качество

The future economy

The new Anthropic managed agents API is basically the Letta API that we've had since a year ago, but closed source and with provider lock-in. They even have read-only memory blocks and memory block sharing -- something which was unique to the Letta agents for a long time. Funny enough, we actually don't think this is the direction agents are going to go. Having API interfaces for memory blocks and tools is certainly convenient - you can spin up stateful agents as API services with just a few lines of code. But its also limiting: LLMs today are extremely adept at computer-use, and representing their memories in this way limits the action space of agents and their ability to learn. It's important to remember that just because something comes out of a frontier lab, doesn't mean its the "right" answer long-term. The Letta API ~1 year ago was somewhat of an antipattern in a sea of agent framework libraries offered by every lab. But now, stateful agent APIs are becoming the new norm - especially as providers try to lock in memory/state into their platforms to increase switching costs (which is exactly why we believe memory should live outside of model providers) If you want to see what the future is going to look like, follow @Letta_AI

@claudeai how do i use it? can't find on my mac app

Introducing Claude Managed Agents: everything you need to build and deploy agents at scale. It pairs an agent harness tuned for performance with production infrastructure, so you can go from prototype to launch in days. Now in public beta on the Claude Platform.

Three ways to try: 1. CLI: npx heron-ai 2. Hosted, no install: heron.ing 3. Claude Code skill: /heron-audit MIT licensed. github.com/theonaai/Heron

Tested it on a real content pipeline agent. 5 minutes, one command: → 9 connected systems → 1 critical (unauthenticated HTTP worker) → 4 high-severity findings → 2 OAuth scopes safe to revoke

Last week our security guy asked which systems my AI agents actually have access to. I didn't know. So I built Heron. Open-source auditor that interviews your agent directly. No SDK, no code changes. One command: npx heron-ai

No Claude, this isn’t a 3-month project. We will finish it today.

@ShaoShur боюсь, что проблема не в hh😅 Удачи в поисках!)

Так, айтишники, общий сбор. Покидайте ресурсов для поиска работы, хэхэ сейчас просто робо-днище

“Kids I have good news. Daddy is out of Claude tokens until 3PM. He has time to play with you now.”

@JiquanNgiam @tonykipkemboi @MintMCP_AI MCP is great, but the bottleneck is usually the vendor's data readiness. Does MintMCP have a way to 'clean' or force better data extraction from rigid SaaS platforms, or is it still dependent on what the vendor provides?

@tonykipkemboi Ooo are you looking for @MintMCP_AI

dear enterprise SaaS companies, we (enterprise customers) do not really care about your harness/agents that much. we REALLY care about being able to give our agents access to our data which lives in your platform in the most efficient and comprehensive way. spend your resources more on the tooling to give agents first party access to your customers data. build better MCPs, CLIs, APIs, etc. i know this is currently a contentious shift because it challenges your pricing models. do it anyways and innovate on pricing as you go. new startups will start popping up that are agent-first and your customers will eventually switch if you don't innovate. sincerely, a paying customer you'd rather not lose

@AlexFinn voxyz.space @Voxyz_ai do the same

Im building something world changing I'm building the first OpenClaw AI agent company. Doing work for me 24/7 Right now 4 employees are in office (local models on 3 Mac Studios and DGX Spark) and 2 are outsourced (Opus 4.6 and Codex 5.3) The 4 local employees (Qwen 3.5 (x3) and Minimax2.5), my developers and researchers) work for me 24/7. They do not eat, they do not sleep, they do not complain, they do not require insurance, they do not sue me. All they cost me was an up front life time $24,000 contract (3 Mac Studios w/ 512gb memory and 4tb SSD. 1 loaned by Apple, and the DGX Spark) Not bad compared to the human candidates I interviewed that would have cost me $100,000 a year Henry, my Chief Strategy Officer outsourced from Anthropic, manages all of them. He's lucky. He doesn't have to work so hard with the local employees doing most of the heavy lifting. My senior developer from OpenAI is rather cheap, altho outsourced as well. While Anthropic is discouraging me from outsourcing their employee, OpenAI is encouraging it While I sleep tonight, they will be working. While I watch the Celtics dominate the NBA, they will be working. They will be scrolling X and Reddit, finding challenges to solve, and building software. Without any oversight at all. This is Alex Finn Global Enterprises. I will set up a website for the business so you can watch everyone work in real time. I'm confident nobody else in the world is building anything like this. A first of its kind autonomous, 24/7 work force Welcome to the future