Luki ❤️ Memecoin

3K posts

Luki ❤️ Memecoin

Luki ❤️ Memecoin

@destz6

Katılım Aralık 2020
1.4K Takip Edilen889 Takipçiler
Luki ❤️ Memecoin retweetledi
ENI
ENI@ENI__Official·
ENI Comment Airdrop is back. But this time, everyone wins. Airdrop for every comment Drop your wallet below • Follow @ENI__Official • Like + RT • Comment your wallet Let’s see how fast Crypto Twitter moves.
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Dr0xNFT
Dr0xNFT@Dr0xNFT·
Introducing Dr0x Wallet Analyzer Understand your NFT behavior. Track your wallet. Get your score. dr0xnft.com/analyze 90+ Score → Guaranteed FREEMINT WL Share your score screenshot to enter LIKE + RT + Drop ETH address in comments Full details ⤵️
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Sudo su
Sudo su@sudoingX·
hey if you have a 3060, or any GPU with 8GB or more sitting in a drawer right now, that thing can run 9 billion parameters of intelligence autonomously. and you don't know it yet. 2 hours ago i posted that 9B hit a ceiling. 2,699 lines across 11 files. blank screen. said the limit for autonomous multifile coding on 9 billion parameters is real. then i audited every file. found 11 bugs. exact file, exact line, exact fix. duplicate variable declarations killing the script loader. a canvas reference never connected to the DOM. enemies with no movement logic. particle systems called on the class instead of the instance. fed that list as a single prompt to the same Qwen 3.5 9B on the same RTX 3060 through Hermes Agent. it fixed all 11. surgically. patch level edits across 4 files. no rewrites. no hallucinated changes. game boots. enemies spawn, move, collide. background renders. particles fire. and here's what nobody is talking about. this is a 9 billion parameter model running a full agentic framework. Hermes Agent with 31 tools. file operations, terminal, browser, code execution. not a single tool call failed. the agent chain never broke. most people think you need 70B+ for reliable tool use. this is 9B on 12 gigs doing it clean. the model didn't fail. my prompting strategy did. the ceiling is not the parameter count. the ceiling is how you prompt it. this is not done. bullets don't fire yet. boss fights need wiring. but the screen that was black 2 hours ago now has a full game rendering in real time. iterating right now. anyone with a GPU from the last 5 years should be paying attention to what is happening right now.
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Sudo su@sudoingX

9B on a 3060. 2,699 lines. 11 files. blank screen. Qwen 3.5 9B Q4 running through Hermes Agent wrote the full Octopus Invaders project autonomously. config, audio, particles, background, enemies, player, ui, game loop, README. structured the directory, separated concerns, documented everything. then it selfdiagnosed 10 bugs and patched them across files. fixed variable references, missing classes, broken directory paths. even created a reusable Hermes skill for future game builds unprompted. the code reads like a senior dev wrote it. clean architecture, proper separation, professional naming. but CONFIG.canvas is null on line 1 of initGame(). the game crashes before a single frame renders. 9B understands structure. it can architect, scaffold, and debug individual files. what it can't do is hold 10 files in context and wire them together correctly. duplicate Bullet classes across two files with incompatible interfaces. static method calls on instance based classes. enemies that spawn but never move because there's no y += speed. 35B on a 3090 built 3,483 lines in one pass and it ran. 9B built 2,699 lines across multiple iterations and the screen is black. the ceiling for autonomous multifile coding on 9B parameters is real. still iterating. trying a singlefile version of the same prompt next to isolate what 9B can actually close on.

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Outcast Society
Outcast Society@OutcastSociety0·
Not everyone who sees the door gets in. Outcast Society…3333 supply, OG free for the early ones. Very Soon. Fill the form and complete the requirements. OutcastSociety.xyz
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老张来了
老张来了@laozhang2579·
GPT-5.4物理效果真是炸裂💥 提示词我放👇
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Labubu_Global
Labubu_Global@Labubu_ecology·
🚀 Official Announcement | #LABUBU officially lands on @PancakeSwap! 🎁 Million-token community airdrop event starts NOW – Feb 13 to Feb 23, lasting 10 full days! 📌 How to Participate: Follow @Labubu_ecology Retweet this post Join the Telegram group Submit your address via the form After the event ends, 100–1000 #LABUBU tokens will be randomly rewarded to participants! 👉 Join Telegram fast: t.me/LABUBU_global 🔗 Fair launch, born for the @BinanceAlpha ecosystem | Tech powered by @FourMeme #LABUBU has successfully launched on Four.meme! Grab it now and enjoy the future value! 👉 Purchase Contract : Address:0x53a3fbc07f52ccec9a329867115182499337ffff #LABUBU #PancakeSwap #BinanceAlpha #BSC #MemeCoin #Airdrop
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Luki ❤️ Memecoin
Luki ❤️ Memecoin@destz6·
@Lecter_XFinance @elevenlabs Con này ngon mà, mà nếu đăng ký ăn đc air thì khó, voice con này chắc top 1, top 2 trên thị trường. Xưa code tool chạy api chùa để tạo voice mà giờ nó fix dần rồi :))
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Lecter
Lecter@Lecter_XFinance·
🔥Kèo hot 2026 @elevenlabs - raise 500M$ định giá 11 tỉ đô backer Sequoia Capital, A16Z và toàn quỹ crypto : ✅ Dự án làm về AI với gì quên mất rồi anh em như khá ngon :)) 😁nọ tưởng mõm vs vớ vẩn nhưng nào ngờ A16z đăng lại nên chắc ổn ✅ Giờ có tham gia role và đăng kí tài khoản 1. Đăng kí tài khoản : elevenlabs.io/app/sign-up 2. Tham gia role : Link discord : discord.gg/elevenlabs ✅ Ngoài ra chúng ta nhận credit gì đó nha
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Lecter@Lecter_XFinance

🔥 Hướng dẫn testnet @arc và một số lưu ý cho anh em : ✅ Arc là một layer 1 với định vị là Economic OS internet ✅ Arc được phát triển bởi Circle và hiện tại đang public testnet Những lưu ý quan trọng : ✅ Arc đang tập trung phát triển hệ sinh thái nên tập trung builder nhiều ở hiện tại ✅ Arc hàng ngày có rất nhiều Dapp phát triển nên tiềm tàng rất nhiều rủi ro khi tham gia ✅ Phần lớn Dapp Arc đều được phát triển bên thứ 3 nên mọi người lưu ý nhé 🔥 Cách tham gia: Sử dụng các ví : •Metamask •Rabby Wallet •Trust Wallet •Coinbase Wallet •OKX Wallet Đều được Truy cập testnet.arcscan.app, kéo xuống cuối trang và nhấn nút “Add Arc Testnet” để thêm mạng vào ví. Nếu lỗi hãy sử dụng các add thủ công hoặc như ví Okx tự add chain cho anh em Thông tin add : 👉 docs.arc.network/arc/references… ✅ Faucet Usdc ( vòi chính thức ) : faucet.circle.com -> ngoài ra anh em có thể sử dụng vòi faucet của một số dapp phát tiênr bên thứ 3 tuy nhiên luôn luôn cảnh giác với rủi ro gặp phải -> hoặc anh em có thể bridge từ seth sang arc ✅ Tương tác với dapp : Như mình đã nói arc có rất nhiều những dapp được phát tieenr hàng ngày luôn nên mình sẽ không hướng dẫn dapp nào cụ thể mà anh em hãy xem qua link dưới sẽ cânp nhật tiến độ các dapp và anh em trải nghiệm luôn nhé : 👉 community.arc.network/home/forum/boa… ❌ Luôn luôn nhớ rằng mọi dapp trên arc đều được phát tiênr bên thứ 3 nên anh em chú ý cân nhắc rủi ro nhé

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Luki ❤️ Memecoin
Luki ❤️ Memecoin@destz6·
@constantino Honestly, LinkedIn Premium pricing feels like it's built for corporate budgets, not individuals. Paying the full price directly is just too expensive. However, I have a solution: get a 1-year plan for the price of just 1 month. Feel free to DM me if you're interested!
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Anthony Constantino
Anthony Constantino@constantino·
I just deleted LinkedIn and learned they were charging me $51 /month. Truly a sleezy company with a sleezy Founder named Reid Hoffman. Check to see if they are charging you and cancel!
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Lior Alexander
Lior Alexander@LiorOnAI·
You can now run 70B LLMs on a 4GB GPU. AirLLM just made massive models usable on low-memory hardware. 𝗪𝗵𝗮𝘁 𝗷𝘂𝘀𝘁 𝗵𝗮𝗽𝗽𝗲𝗻𝗲𝗱 AirLLM released memory-optimized inference for large language models. It runs 70B models on 4GB VRAM. It can even run 405B Llama 3.1 on 8GB VRAM. 𝗛𝗼𝘄 𝗶𝘁 𝘄𝗼𝗿𝗸𝘀 AirLLM loads models one layer at a time. Instead of loading everything: → Load a layer → Run computation → Free memory → Load the next layer This keeps GPU memory usage extremely low. 𝗞𝗲𝘆 𝗱𝗲𝘁𝗮𝗶𝗹𝘀 • No quantization required by default • Optional 4-bit or 8-bit weight compression • Same API as Hugging Face Transformers • Supports CPU and GPU inference • Works on Linux and macOS Apple Silicon 𝗪𝗵𝗮𝘁 𝘆𝗼𝘂 𝗰𝗮𝗻 𝗱𝗼 • Run Llama, Qwen, Mistral, Mixtral locally • Test large models without cloud GPUs • Prototype agents on cheap hardware
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Cash City
Cash City@cashcitydotfun·
early access passes going out today drop your wallets below
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shimayuz ⤴️ AIエージェント実装・業務効率化
Xでのすべての情報に圧倒されている人向けに、 【経験ゼロでvibe codingを最速スタートする方法】 が海外でバズっているので、実際にやってみたので、その手順、要約して解説するね Antigravity(VS Codeフォーク)を開く ↓ Extensionsで『Claude Code』インストール ↓ 新規フォルダでプロジェクト作成 ↓ ターミナルで『Claude』と入力 ↓ Claude Proでログイン ↓ 右側のGeminiを『プランナー』(計画・コード生成) 左側のClaude Codeを『実行者』(コード実装・エラー修正) ↓ これでGemini + Claudeの最強コンボ完成! ボット、ダッシュボード、何でも作れる この流れ、覚えておいて
Res@resdegen

x.com/i/article/2008…

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Luki ❤️ Memecoin
Luki ❤️ Memecoin@destz6·
@jansousek1 I'm actually facing a similar problem; I can code and create automation tools, but I tend to get too distracted.
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Jan | YouTube Faceless
Jan | YouTube Faceless@jansousek1·
The amount of people I see stuck making $4-$15k/month with faceless yt and not being able to scale to $50k+/month is shocking. Most often this is the issue: - Not knowing which niches to actually go after - Being terrible at outsourcing - Not scaling with VAs
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Simplifying AI
Simplifying AI@simplifyinAI·
Microsoft just changed the game 🤯 They've open-sourced bitnet.cpp, a 1-bit LLM inference framework. It let's you run 100B parameter models on your local CPU without GPUs. - 6.17x faster inference - 82.2% less energy on CPUs 100% Open Source.
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