
Yokai
@a_general_dev
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Building autonomous AI infra; ex Meta
Joined January 2013
AI is giving saas a full reset. - from features to commoditized APIs.- from click flows to persistent intelligent agents.- from seat licenses to results-based pricing.- from quarterly releases to rapid build/ship cycles.- from standalone apps to composable agent networks. GI is
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830🌟, 154 forks, @gen_impressions moving from idea → infra → adoption. every fork is a new agent, new integration, another piece of the agentic internet. the builder community is expanding. the network is growing.
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interesting, might give it a shot.
Introducing NEO: The first Agentic Machine Learning Engineer. It works like a full-stack ML engineer that never sleeps:.handling data exploration, feature engineering, training, tuning, deployment, and monitoring, end to end. Powered by 11 specialized agents, NEO runs
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seeing more teams align on the agentic app vision is energizing. creao making it easy to build full-stack agentic apps with just natural language is huge. but creation is just the first step. at @gen_impressions , we're all about what happens *after* creation: persistence,.
On the last day of July, we’re proud to share this: . 💰 $15M raised to build agents that work — not just talk. 🙌 Big thanks to our team and investors. 🚀 Creao launches this August. This is what agents look like — when they’re built for work, not demos.
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Ok(()).
As we continue to hit all time highs across all metrics @Backpack, we're significantly expanding the engineering team, hiring across many senior/staff level roles. If you love Rust or React, please read. If you love Java or Go, please keep scrolling (kidding, kind of). If you.
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$GEN is the economic engine of agentic AI.
$GEN is the core utility and coordination token within the General Impressions agentic framework, powering intelligent node execution, persistent memory, and decentralized agent workflows. Agents in GI are long-lived, autonomous, and economically active. From Telegram-native
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hardcoding only gets you so far, good for demos. but context? that's how you build real systems. we gotta create environments where ai agents learn, remember, coordinate. not just static logic trees. long term, context > code. that's why gi is built with persistent memory,.
If you are building agent systems - you need to be leaning on the model as much as you can. You can prob get quicker results hard coding things in - but you will be leap frogged as the models iterate. You want to build a relationship up with your model and context. Focus on.
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ai has democratized building beyond just devs. with things like @Replit, @boltdotnew, @lovable_dev, turning idea to product moves fast. frontends are easy. backends still take code though. but @gen_impressions is next. products become reusable modules, like lego blocks you just.
"Everybody's an artist now. Everybody's an author now.". We're not replacing human creativity - we're amplifying it 100x. The person with the best ideas wins, not the one with the most technical skills. This changes everything about who can build companies:
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have to say — watching @SolportTom communicate with the BONK community is a real masterclass. clarity, consistency, conviction, even amidst chaos. as a builder, it's a reminder: community alignment isn’t fluff, it’s infra. need to learn more from this.
Transparency goes a long way and I understand some people are confused about some of the contests we’ve ran, we pay people out behind the scenes because obviously I don’t want to shill tokens on the TL but I see how it could be improved. Will make sure communication moving.
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$GEN isn't about speculation. it's being built as the native exchange for agentic ecosystems. think agent-to-agent transactions, real-time payments, programmable execution. we build the agentic ecosystem first, create real demand. gen emerges naturally as the payment layer.
heard agentic payment is trending lately. trying to launch some agentic payment system? a stablecoin or payment token alone is premature. you first need a vibrant agent ecosystem, a marketplace, think: mcp marketplace. then payments become natural infrastructure. building the
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