Semichenko

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Semichenko

Semichenko

@semichenkko

👾22 y.o. | AI & Crypto Building automated content machines. Web3 enthusiast. 💌dm open

Украина Katılım Aralık 2017
111 Takip Edilen168 Takipçiler
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Semichenko
Semichenko@semichenkko·
This guy from China is making $12,500 a month just by walking around major crypto conferences with a backpack. 🤯 He hooked up a Mac Mini running OpenClaw to a compact CUKTECH 10 Mini battery. But why would anyone need a portable AI server? At massive events, the Wi-Fi is always terrible and power outlets are nonexistent. While other creators wait until the evening to reach their hotel and upload data to the cloud, his pocket AI works entirely locally. It processes keynote audio on the go, extracts alpha insights, and instantly posts viral threads on X. Total monopoly on speed and content generation without being tethered to a wall. How do you build this exact pocket-sized money printer? Breakdown below 👇
Shadow Nick@doublenickk

x.com/i/article/2073…

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Semichenko
Semichenko@semichenkko·
@misat0x Honestly, a hybrid approach is the smartest move today. But the way open-source is accelerating... I wonder how long we'll need both. 👀
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Semichenko
Semichenko@semichenkko·
Kimi K3 vs Claude Fable 5 just had a crazy showdown, and a Canadian student used it to make $4,800 in two weeks generating indie game trailers on an absolutely FREE AI! 🤯 He took animation gigs, finished them in minutes, and passed it off as the work of a full 3D studio. While everyone is paying for pricey subscriptions, this guy is printing cash using open-source tech on a regular laptop. Look at this insane stress test with a double twist: a brutal polar bear fight suddenly transitions to a real room with a VR headset. ⬇️ Bottom: Claude Fable 5. Closed-source and insanely expensive. Hollywood-level visuals, but requires huge budgets. ⬆️ Top: Kimi K3. An open model from Moonshot AI that holds insane frame consistency and is completely free! Open-source AI is officially breaking the market. Why overpay corporations when free tools already let you monetize content at this level? Do you think Kimi K3 is ready to fully kill paid models? 👇
Semichenko@semichenkko

x.com/i/article/2078…

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Semichenko
Semichenko@semichenkko·
@0xkkai Moving from isolated prompts to a structured context system is a crucial shift. Systematizing AI memory through localized files significantly improves efficiency and eliminates redundant work.
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kai
kai@0xkkai·
SOMEONE FROM THE ANTHROPIC TEAM LEAKED THEIR OBSIDIAN SETUP. 8 MILLION PEOPLE SAW HOW HE ACTUALLY USES CLAUDE the funniest part? all of this information was sitting in claude's documentation from day one. nobody read it one guy did, packed it into a 9-step guide and posted it. and it broke the internet. 4,100 likes, 800 retweets, then china picked it up and 8 million views want to know what's in it? one file. called CLAUDE.md. it holds everything about you: how you think, what you're working on, where you get stuck, even how you want the ai to talk to you. claude reads it first every single session one file changed everything. because now ai doesn't open with "how can i help?" it already knows. it remembers your projects, sees your goals, catches moments where you're contradicting yourself people spent years searching for the perfect prompt. the right temperature. the magic formula. and the answer turned out to be not how you ask ai. but what ai knows about you before you even open your mouth then the guy went deeper. taught claude to work on a schedule. every morning at 7am the ai walks through all notes on its own, finds new stuff, links it, cleans what's stale. no command. no reminder and all of this runs on obsidian. free app. text files on your drive. no cloud, no lock-in. switch models tomorrow and the folder keeps working the most liked comment under the original post: "this is the difference between using ai and building a system. most people won't realize it until they waste hundreds of hours repeating themselves" hundreds of hours. you've already spent some of them full guide in the video. i break down finds like this every day - follow so you don't miss the next one
Yarchi@undefinedKi

x.com/i/article/2067…

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Karan
Karan@karankendre·
Kimi K3 + Fable 5 just cooked a FIFA-style World Cup Game Argentina vs Spain!!!! Kimi built the whole game Fable wired the kits, player models & match branding And yes controller support. I’m playing this on pad.
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Semichenko
Semichenko@semichenkko·
Kimi K3 just absolutely DESTROYED GPT-5.6 Sol. Why pay over half a dollar per generation when Kimi delivers flawless results for just $0.038?! 🚀 We benchmarked 4 elite AI models by having them generate and run a dynamic, cyberpunk synthwave version of the legendary Chrome "No Internet" T-Rex game. The cost-to-performance ratio is insane. Here is the breakdown per run: 💸 GPT-5.6 Sol — $0.53 (Premium price, but is it 14x better?) 🦊 Fable 5 — $0.38 (Solid runner-up, great neon lighting) ⚡ Grok 4.5 — $0.15 (Fast, affordable, dark aesthetic) 🔥 Kimi K3 — $0.038 (THE ABSOLUTE CHEAT CODE) The takeaway: The gap between flagship models and cost-efficient alternatives is officially closed. Kimi K3 just proved that you can get top-tier parallax scrolling, obstacle generation, and neon aesthetics for pennies. It's almost 14 times cheaper than Sol for a nearly identical visual output. Look at the gameplay styles in the video. Which AI's visual aesthetic and runner mechanics won this battle? Drop your vote in the replies! 👇
Semichenko@semichenkko

x.com/i/article/2078…

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Semichenko
Semichenko@semichenkko·
American AI just got dethroned. A new Chinese model just crushed ChatGPT and Claude! 🚨 Meet Kimi K3—the biggest AI model ever made, and it's completely shifting the balance of power. Here is why this is breaking the internet right now: The Biggest Model Ever: Packs a massive 2.8 Trillion parameters, native multimodal capabilities, and a 1 Million token context window! The New Coding King: Within hours of launching, it hit #1 on the AI coding rankings, jumping 17 places and passing every single American model. Head-to-Head Winner: People are already testing it live, and with the exact same prompts, Kimi is doing a better job than Claude's best models. 🤯 The craziest part: It's going Open Source! On July 27, 2026, they are releasing the Open Weights. You'll be able to run this absolute monster locally on your own computer with ZERO subscription fees. Want to try the live interface right now? Drop a "KIMI" in the replies and I’ll DM you the link! 👇
Kimi.ai@Kimi_Moonshot

Introducing Kimi K3: Open Frontier Intelligence 🔹 2.8 Trillion Parameters, 1 Million Context, Native Multimodal 🔹 Kimi Delta Attention enables up to 6.3x faster decoding in million-token contexts 🔹 Attention Residuals deliver ~25% higher training efficiency at <2% additional cost 🔹 Built for long-horizon agentic coding and self-evolving workflows Kimi K3 is now live on on Kimi.com, Kimi Work, Kimi Code, and the Kimi API. Open Weights by July 27, 2026. 🔗 API: platform.kimi.ai 🔗 Tech blog: kimi.com/blog/kimi-k3

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Semichenko
Semichenko@semichenkko·
This guy from China is making $18,500 a month just by rolling a portable AI server down hotel hallways. 🤯 He hooked up a Mac Mini running Claude Code and OpenClaw to a massive CUKTECH power bank on a rolling stand. But why would anyone need a rolling AI server with hot-swappable batteries? When running autonomous agents 24/7, a single power drop or internet disconnect can kill your entire workflow. While other creators are crying over Claude API limits and tethered to a wall outlet, his rolling AI works entirely locally and never sleeps. Claude Code handles the complex backend logic on the go, while OpenClaw instantly deploys automated viral content across X and Telegram. Total monopoly on speed and infinite compute without a single second of downtime. How do you build this exact rolling money printer? Article 👇
Shadow Nick@doublenickk

x.com/i/article/2073…

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Semichenko
Semichenko@semichenkko·
This guy from China is making $12,500 a month just by walking around major crypto conferences with a backpack. 🤯 He hooked up a Mac Mini running OpenClaw to a compact CUKTECH 10 Mini battery. But why would anyone need a portable AI server? At massive events, the Wi-Fi is always terrible and power outlets are nonexistent. While other creators wait until the evening to reach their hotel and upload data to the cloud, his pocket AI works entirely locally. It processes keynote audio on the go, extracts alpha insights, and instantly posts viral threads on X. Total monopoly on speed and content generation without being tethered to a wall. How do you build this exact pocket-sized money printer? Breakdown below 👇
Shadow Nick@doublenickk

x.com/i/article/2073…

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Semichenko
Semichenko@semichenkko·
This American creator is making $18,500 a month with his AI agency, but he just spent 6 HOURS copying and pasting code to get a single Openclaw bot running on a Mac Mini. 😭 Was it worth the struggle? 1000% yes. Because now, his Mac Mini is a 24/7 autonomous money printer, and his monthly OpenAI/Claude API bill is exactly $0. The Mac Mini M4 is the ultimate cheat code for local AI automation. It pays for itself by completely eliminating your SaaS costs. But you don't need to suffer through 6 hours of terminal errors and chaotic copy-pasting to set it up. I wrote a full guide on how to turn your Mac Mini into a cost-free AI node without losing your mind. Read the article here 👇
Shadow Nick@doublenickk

x.com/i/article/2073…

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ViceSol
ViceSol@ViceSol·
@semichenkko The biggest win isn't saving on API costs. It's owning an automation stack you control end to end
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Shadow Nick
Shadow Nick@doublenickk·
Three RAG projects you can build in a few hours that actually look great on your resume 1. Hybrid-search RAG with citation verification Dense vectors plus BM25, cross-encoder reranking, and a verification pass that checks every citation actually supports the claim it's attached to. This is the quality layer almost every RAG demo skips. > Resume: "Built a hybrid-search RAG system with cross-encoder reranking and citation verification that cut retrieval errors and eliminated unsourced answers." 2. Multi-modal document RAG OCR plus LLM extraction over messy PDFs, tables, and scanned docs, with a validation layer and a human review queue for low-confidence pulls. This is what real enterprise data looks like, not clean markdown. > Resume: "Shipped a multi-modal document pipeline that extracted structured data from PDFs and tables with a confidence-gated human review queue." 3. Agentic RAG A retrieval router that decides what to fetch and when, reformulates weak queries, and retries when the first pass comes back thin instead of hallucinating an answer. This is where the field is heading. > Resume: "Designed an agentic RAG system that routed retrieval dynamically and self-corrected on low-confidence results before generating an answer."
Yarchi@undefinedKi

x.com/i/article/2075…

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Semichenko
Semichenko@semichenkko·
@ajs6888 100% worth it. Short-term pain for long-term freedom. Welcome to the local AI club!
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Semichenko
Semichenko@semichenkko·
@scream_crypto The 6-hour terminal trauma is just the entry fee for the $0 API lifestyle. Best ROI ever
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SCREAM
SCREAM@scream_crypto·
@semichenkko Every local AI setup has the same timeline: “Why isn’t this working?” → “I’m never paying API bills again.”
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Kardashev Age Viking
@semichenkko This is a good idea, but don't forget that in addition to the CUKTECH battery you should use a NICGIGA switch for superior network performance.
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