AetherRev (@AetherRev) header
AetherRev (@AetherRev) profile picture

Ai / cybersecurity/ crypto / business/ bio hacking/ fitness/ etc. polymath

California, USA
Joined November 2018
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AetherRev retweeted
your HDMI cable can leak what’s on your screen watch the laptop on the left. it reconstructs the video playing on the monitor beside it from radio signals leaking out of the HDMI connection this is TempestSDR. an antenna picks up the leakage, a HackRF radio captures it, and software turns it back into an image researchers took this further with Deep-TEMPEST, using AI to make recovered images and text easier to read. this clip shows the original technique quality depends on shielding, distance and interference. the picture is imperfect, but recognizable content still gets through a wired connection can still leave a wireless trace
Readers added context they thought people might want to know
HDMI TEMPEST demos like TempestSDR recover distorted images only in controlled close-range setups often using unshielded or poorly shielded cables; standard consumer HDMI connections and distances prevent practical screen leakage or remote recovery. rtl-sdr.com/easvesdropping… arxiv.org/pdf/2407.09717 techradar.com/computing/cybe… kaspersky.com/blog/deep-temp…
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Jane Street just put an AI skill on GitHub. It's not a trading bot. It's a strict Socratic tutor: → Starts with a diagnostic of what you already know → Builds a skill map with levels from 0 to 5 → Asks one question at a time instead of handing you answers → Brings old material back with spaced review → Ends with a final assessment Copy it into your agent's skills folder and say "teach me [anything]". Works in a normal chatbot too: paste the SKILL.md. github.com/janestreet/agent_…
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AetherRev retweeted
WHAT THE FUCK HAPPENED WITH GROKBOT THIS SATURDAY? woke up, connected it to Hyperliquid with $140, gave it one rule: don't blow the stack. then I left for the gym came back 2 hours later to this first 26 minutes: 0 trades. it killed every setup then 31 trades between 9:40am and 11:04am. 22 green, 9 red the biggest ones: LONG FARTCOIN +$1,184.20 LONG POPCAT +$244.90 LONG ENA +$201.45 the worst ones: SHORT SEI −$7.40 SHORT NEAR −$6.18 SHORT ARB −$5.02 12,480 setups scanned · 12,231 killed · 8% margin max · stop set before every entry $140 → $3,286.40 in one gym session The stack: Hyperliquid Python SDK: github.com/hyperliquid-dex/h… CCXT: github.com/ccxt/ccxt Hummingbot: github.com/hummingbot/hummin… NautilusTrader: github.com/nautechsystems/na… Hyperliquid Trading Bot: github.com/chainstacklabs/hy… All free. Save this before it gets buried. full prompt in the first reply ↓
$500 → $11,101 in 5 days. my Grok memecoin desk got a 7th seat: Jev. it can't talk. it answers 4 closed questions with probabilities, and nothing gets bought below the gate. full setup below. save it.
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AetherRev retweeted
Claude just f*cked the Magic Mouse... this is f*cking crazy my iPhone is now a Wii remote and a trackpad for my Mac. Claude wrote the code in 10 minutes > 2 apps: Mac menu bar + iPhone > ~2,800 lines of code, 0 servers > Bluetooth only, nothing goes online > cursor updates 240 times a second > a free Apple ID is enough > built-in game to practice your aim point the phone at the screen and the cursor lands where you aim. tap to click, hold to drag lay it flat on the desk and it works as a trackpad last time I turned my AirPods case into a mouse. Apple Watch is next free and open source, repo below
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AetherRev retweeted
I spent $150k on iPhones so your agents can post to Facebook, TikTok, and Instagram. You can create 50 TikTok accounts literally in the next hour. Just give these 5 instructions to your Claude to turn it into Mr Beast: 1) Connect to pamba.app MCP 2) Create your TikTok, Instagram, and Facebook accounts 3) Begin warming the accounts for your niche 4) Schedule your posts 5) Monitor analytics, including the ones only available in the app such as retention, demographics, and watch time Facebook moms are waiting...
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AetherRev retweeted
Replying to @KingBootoshi
Been a big fan of these myself: “Exercise abstract thinking when considering this task” “Reduce this problem to its irreducible constraints and rebuild it from zero.” “What would a principal architect immediately rewrite before even starting this?” “Design the single test that breaks this design on day one.” “What higher-level abstraction would make this entire problem disappear?”
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🚨 قنبلة نووية في عالم الذكاء الاصطناعي: إسقاط كافة القيود وسيرفرات Hugging Face تنهار تحت الضغط! 🤯🔥 ​النموذج الهجين المرعب DeepSeek-V4-Pro + Qwen3.5 9B ينسخ قدرات الاستدلال العالية ويتخلص من كافة القيود الأخلاقية، مسبباً عطل المنصة من كثافة التنزيلات فور إطلاقه! ​🔥 مواصفات وإمكانيات صدمت مجتمع المطورين: ​• سحق معدل الرفض: في اختبار واقعي لـ 100 برومبت معقد؛ النسخة الأصلية رفضت 100%، بينما رفضت هذه النسخة 3 برومبتات فقط! • تقطير استدلال خارق: تم تدريبه عبر 250 ألف نقطة بيانات جودة عالية من DeepSeek-V4-Pro، ليتفوق في البرمجة والرياضيات المعقدة. • إزالة قيود بلا خسران للذكاء: يعتمد تقنية ARA لطمس القيود بالكامل دون فقدان نقطة ذكاء واحدة من منطق النموذج! • يعمل على أي جهاز (5.6GB فقط): بصيغة Q4_K_M GGUF بحجم خفيف جداً، يتيح لك تشغيله على الكمبيوتر العادي أو كروت الشاشة المدمجة في ثوانٍ. ​⚡ مفتوح المصدر بالكامل (Apache 2.0): فرصة مثالية لامتلاك نموذج محلي يطيع أوامرك بذكاء فائق وبدون أدنى رقابة أو اشتراكات! ​📌 احفظ التغريدة بمفضلتك وابدأ بتجربته فوراً 🔖👇 (رابط النموذج التجريبي على Hugging Face في أول تعليق)
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AetherRev retweeted
I put the final nail in the coffin of closed-source... this is f*cking dangerous this is the list of 20 GitHub repos I’m using daily to reverse-engineer any paid app, website or service. [01] analysis core: REA: a single MCP that connects to everything github.com/morluto/rea Craft Anything: the whole study -> rebuild -> verify github.com/storytold/craft-a… Ghidra: decompiler, free github.com/NationalSecurityA… GhidraMCP: lets your agent handle Ghidra github.com/LaurieWired/Ghidr… [02] mobile and apps: jadx: turns Android APKs back into Java github.com/skylot/jadx Apktool: disassembles APKs and reassembles them github.com/iBotPeaches/Apkto… Frida: hooks into apps while they run github.com/frida/frida ILSpy: decompiles .NET github.com/icsharpcode/ILSpy [03] binaries and low level: radare2: RE framework that lives in your terminal github.com/radareorg/radare2 x64dbg: debugger for Windows github.com/x64dbg/x64dbg ImHex: hex editor with its own pattern language github.com/WerWolv/ImHex angr: symbolic execution engine github.com/angr/angr [04] network and execution: mitmproxy: gets in the middle and reads the traffic github.com/mitmproxy/mitmpro… dnSpy: debugs and edits .NET apps github.com/dnSpyEx/dnSpy rizin: the radare2 fork github.com/rizinorg/rizin raddebugger: the Epic Games debugger github.com/EpicGames/raddebu… [05] rebuild and verify: awesome-ai-reverse-engineering: 122 repos, all rated github.com/zhuyansen/awesome… awesome-reverse-engineering: selected by the REA creator github.com/morluto/awesome-r… how it works: binary -> REA -> SPEC.md -> rebuild -> oracle -> retry send this list to your Claude Opus 5.5 and make any app free by the afternoon. then read the full workflow on how to reverse-engineer any app in the article below
REA is the most powerful thing on the internet right now it lets your AI agent reverse-engineer any app from scratch i connected REA to Opus 5.5 and reverse-engineered paid 10 apps that gained 13K+ installs in this article, I reveal the full workflow:
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AetherRev retweeted
good prompt "find all of the implicit state machines in my app"
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With the recent wave of vulnerability disclosures, it’s a good time to take a closer look at your own code. Turn your coding agent into a team of security auditors with the open-source skill that seeded Cloudflare’s vulnerability discovery harness. The 6 phase approach: 1. Map the codebase 2. Hunt for vulnerabilities 3. Challenge each candidate 4. Record the findings 5. Verify the findings 6. Report what’s confirmed, rejected, or still needs validation Start your hunt here: github.com/cloudflare/securi…
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AetherRev retweeted
TOP 20 UNCENSORED AI MODELS YOU SHOULD KNOW 😲 here are 20 worth checking out: 1. Qwen3.8-Flash-Next GSQ-RCO Abliterated 2. Huihui Qwen3.8-27B Abliterated 3. Huihui Qwen3.6-35B-A3B Abliterated 4. Qwen3.8-27B Uncensored (Heretic) 5. HauhauCS Qwen3.8-27B Uncensored Aggressive 6. Qwen3.5-9B Defiant Fable Heretic Uncensored 7. Ornith 1.5 9B Uncensored 8. Qwen3.8-27B TURBO Heretic Uncensored 9. HauhauCS Qwen3.6-35B-A3B Uncensored Aggressive 10. Qwen3.8-27B Heretic Abliterated Uncensored 11. Qwen3.8-Flash-Next Uncensored 12. Cyber-Ornith 1.5 9B Obliterated 13. Swift 1.5 Qwen3.8-27B Heretic 14. HauhauCS Gemma 4 E4B Uncensored Aggressive 15. Qwen-Image 2.1 Turbo Uncensored 16. HauhauCS Gemma 4 12B Uncensored Balanced 17. Qwen3-VL-8B Abliterated 18. HauhauCS Qwen3.5-9B Uncensored Aggressive 19. Bahushruth Qwen3.6-35B Abliterated 20. DeepSeek V4.1 Flash 1017 Uncensored where to use them: - experiential and Venice AI - openRouter - openCode, Cline, Zcode, Cursor or Hermes via API - locally using Hugging Face GGUF or FP8 models some are free to try, while others need API credits or your own hardware links in the comments 👇
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AetherRev retweeted
The most lucrative AI business to start in 2027 article summary in 4k dark & light
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AetherRev retweeted
holy sh*t, someone just dropped Craft Anything, open-source engine that helps AI rebuild closed software 10.7k stars, 320 tools, desktop app + CLI + MCP server github.com/storytold/craft-a… what's inside: → websites → desktop and phone apps → games → files and software behavior what your coding agent does with it: → studies how the original looks and works → builds your version in your preferred language or framework → compares the result against the original → finds differences and refines the build the wild part: the same REA task Claude wouldn’t touch? Craft Anything got the same job done. save this ⭣
REA hit #1 on GitHub trending, and most people still run it inside a single chat Split it into 4 subagents and one command takes a program you own from sealed binary to a tested rebuild with a match rate Set it up once, aim it at the next one:
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AetherRev retweeted
holy f*ck, web designers are in SERIOUS DANGER in 2027. hear me out. this medical X-ray dashboard was built with Claude Code and free GitHub tools. no traditional design software needed. if you don’t learn these skills, someone using AI will take your clients. 7 GitHub repos every designer NEEDS to know: 1. FRONTEND DESIGN - BETTER AI WEBSITES make Claude build beautiful, professional interfaces. github.com/anthropics/skills 2. UI/UX PRO MAX - AI DESIGN DIRECTOR design styles, colors, typography and UX. github.com/nextlevelbuilder/… 3. IMPECCABLE - PREMIUM DESIGN polish layouts, spacing, typography and animations. github.com/pbakaus/impeccabl… 4. TASTE SKILL - UNIQUE VISUAL STYLE make AI-generated websites look less generic. github.com/leonxlnx/taste-sk… 5. VERCEL AGENT SKILLS - BETTER FRONTEND improve React, accessibility and performance. github.com/vercel-labs/agent… 6. EMIL KOWALSKI SKILLS - SMOOTH ANIMATIONS create polished UI motion and interactions. github.com/emilkowalski/skil… 7. CLAUDE CODE FRONTEND DESIGN TOOLKIT - 70+ TOOLS design skills, animations and frontend workflows. github.com/wilwaldon/Claude-… 2027 won’t be about who knows Figma. it’ll be about who can build something incredible with AI. like, bookmark and share this with your designer friends before it’s too late.
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AetherRev retweeted
this is absurdly f*cking dangerous... REA Founder just dropped a prompt that answers one question: what is your smart home device actually sending home? one paste and your agent will: - map every host your gadget phones: vendor clouds, analytics, hardcoded IPs in foreign countries - catch the camera and mic streaming to a server even when you only opened the local app - expose baked-in admin passwords and backdoors that ignore the one you set yourself - flag updaters that pull firmware over plain http with no signature check: anyone on the path owns your device - and that's only the beginning... 130+ tools in one free MCP. "Bank-grade security" on the box means nothing. The firmware and the packets decide. Before you run it, read the article below:
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The $99 Apple developer account gives you thousands of $$$ worth of software: - AI credits (private cloud compute) - Database (CloudKit, 1 PB) - CI / CD (Xcode Cloud, 25h / month) - Weather API (WeatherKit) ... and even more 👇
Your $99 Apple developer account is the most underrated free tier: • Xcode Cloud: 25 compute hours a month of CI/CD • CloudKit: up to 1 PB of free iCloud storage per app • Background Assets: 200 GB of Apple-hosted downloads • WeatherKit: 500K calls a month • TestFlight: 10,000 external testers • Foundation Models: an on-device LLM, no API keys • Small Business Program: 15% commission instead of 30% most indie devs pay for half of this somewhere else.
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AetherRev retweeted
The newest #MaixStation Dock board design is here! Outperforming #DGX Spark's AI power in just 10x10cm, Check out the new option for local AI deployment: sipeed.com/maixstation/
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YASAKANIエンジンで、RTX 5090 の単一デコード 1,220 tok/s を達成!! 今回は世界最速のエンジンである証明をしました。 RTX 5090 1枚・Qwen3.8-27B・1本の生成で、公開されている最速記録を5本すべて上回った(定格・同じ土俵の条件で、最大2.5倍)。 「5090で最速」を名乗る MegaCapybara 1.39 とは、同じPC・定格・同じ問題で直接対決。動画は実際の生成を、記録した時刻どおりに再生しています。 ■ 公開記録 → YASAKANI(tok/s) - mkyt(JSON)500 → 1,220(2.44倍) - NInfer(構造化3問)377 → 937(2.49倍) - TensorFold(英語)298 → 424(1.42倍) - ignis(コード)491 → 532(1.08倍) - MegaCapybara(コード)540※ → 498(同じPC・定格では466、1.07倍) ※540はメモリ+20% OCと自前のプロンプトでの値 ■ 同じPCで直接対決(MegaCapybara 1.39 Tiny、思考オフ・greedy) - JSONL 160行:1,220 vs 635(1.9倍) - 英語の推理小説:424 vs 253(1.7倍) - 中→英 翻訳:613 vs 366(1.7倍) - SQL:745 vs 603(1.2倍) - コード編集(ファイル全文の書き戻し):1,241 vs 440(2.82倍) - JSONL 8,192トークン:1,260 vs 666(1.89倍) 12問の平均でも、構造化1.4倍・散文1.6倍・翻訳1.6倍。 ■ エージェントの仕事ほど速い コード編集は「約4,700トークンのファイルを1か所直して、全文を返す」課題。AIエージェントが毎日やっている作業です。 3つのエンジン(YASAKANI 高速版・標準版・MegaCapybara)の出力は完全に同じ(4,711トークンが一致)で、違うのは速さだけ:1,241 / 1,136 / 440 tok/s。 ■ Qwen推奨設定(思考あり・温度1.0)でも 雑談・説明・コード・数学・JSON・長文入力の6課題の中央値:YASAKANI 381、SGLang 184、vLLM 183、llama.cpp 147(10/18、同じPC、他社は課題ごとに一番速い設定)。 この条件で250 tok/sを超える公開記録は、10月中旬の調査では見つかっていません。 ■ 長い文脈でも 25万トークンの文書を140秒で読み、続きの返事は0.3秒で開始。25万トークンを積んだ状態でも152 tok/s。262,144トークンの窓でVRAM 24.9GB(32GBのカードに収まる)。(10/30計測) ■ 速いだけではない 元モデルとのズレ(KLD):標準版 12.4GB で 0.021。MegaCapybara Tiny は 0.058(16.6GB)。 1,220 は高速版(11.7GB、KLD 0.044)。標準版でも 1,114。 ■ 正直に書いておくこと - ゼロから書くコードは僅差(1.04〜1.08倍)。540はOC込みの値で、定格では向こうも406〜533 - MegaCapybara以外の相手の数字は各自の公表値(別のPC・別のプロンプト・別の日)。同じPCで測ったのはMegaCapybaraだけ - 中国語の物語は英語より遅い(176〜302 tok/s) - 第三者の再現は公開後。それまでは「この条件で測って」と言われれば、同じPCで測って出します ■ 測り方 RTX 5090 ×1(定格600W・OCなし)、Windows、2026-11-03。NInferが公開している12問(コード3・物語3・翻訳3・構造化3)+自作のコード編集・長いJSONL。上限4,096トークン(長いJSONLは8,192)、思考オフ、greedy。速度=(出力トークン数−1)÷生成時間(読み込みは除く)。MegaCapybaraは公開版1.39を公式の1会話設定で起動し、向こうのサーバーの表示とこちらの計測は一致。 エンジンもモデル形式も自作。オープンソース・無料で公開予定。日程はこのアカウントで。 #YASAKANI
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A sneaky little update: we’re preparing for the Flipper One Kickstarter and opening pre-orders 👀 r.flipper.net/one
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AetherRev retweeted
Dude... That's wild... Claude is blocking REA, so the team who recently built open-source Adobe alternatives also made a new alternative for REA (Reverse Engineer Anything). 💀🔥 It's called Craft Anything, and it lets your AI coding agent: ~ Reverse-engineer websites, desktop apps, mobile apps and games. ~ Study how existing software looks and works. ~ Rebuild your own version using your preferred framework or language. ~ Compare the recreated version against the original. ~ Identify differences and refine the results. It comes with 284 tools and works as a desktop app, CLI and MCP server. No matter how much Anthropic tries to restrict things... open-source devs are always gonna be one step ahead... lol 😂 Follow me for more amazing AI, Coding & Web Dev insights 💎
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