Slava Baranskyi, FCIM

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Slava Baranskyi, FCIM

Slava Baranskyi, FCIM

@sbaranskyi

Slava Baranskyi

Dubai, United Arab Emirates Katılım Nisan 2007
449 Takip Edilen5.9K Takipçiler
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DogeDesigner
DogeDesigner@cb_doge·
🚨 WhatsApp’s “end-to-end encrypted” privacy is a total lie. New class-action lawsuit just dropped: Meta secretly let employees, contractors like Accenture, and third parties read, intercept, and store your private messages WITHOUT consent. All while marketing it as “only you and the recipient can read it.” Zuck lied to billions. Your chats were never safe.
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sui ☄️
sui ☄️@birdabo·
SOMEONE MADE A DIGITAL WHIP TO MAKE CLAUDE WORK FASTER 💀
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kouji 🇯🇵
kouji 🇯🇵@yoyonofukuoka·
あらゆる言語が自動翻訳に対応し、世界中の人々がシームレスにコミュニケーションを取れる様になったら、国対国という従来からある構図が崩れて、常識対非常識という構図になるだろうな。
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Slava Baranskyi, FCIM
Slava Baranskyi, FCIM@sbaranskyi·
🕓 *10 minutes before:* Operators in the Unit 2 control room stare at fluctuating pressure gauges, unaware that coolant is silently draining from the reactor core. The hum of machinery fills the room. In moments, a cascade of alarms will announce the beginning of America's nuclear nightmare. en.wikipedia.org/wiki/Three_Mil…
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Slava Baranskyi, FCIM
Slava Baranskyi, FCIM@sbaranskyi·
15 minutes before: F-117 Stealth Fighter Shot Down Over Serbia (1999) On this night 27 years ago, a Yugoslav Army SA-3 battery commanded by Colonel Zoltán Dani achieved the impossible — shooting down an F-117 Nighthawk, the world's first operational stealth aircraft. Lt. Col. Dale Zelko ejected and was rescued hours later. The shootdown shattered the myth of stealth invincibility and became the most iconic moment of the NATO bombing campaign. 🔗 en.wikipedia.org/wiki/1999_F-11…
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Slava Baranskyi, FCIM
Slava Baranskyi, FCIM@sbaranskyi·
A guy from Delhi "headhunted" me for a CMO role at PureGym Arabia. 90K AED/month. Tax-free. Housing included. Plot twist: $550 "activation fee" before he'd share my CV. I cited UAE labor law. He panicked. I offered $5K on success. He asked for $250 upfront — 90 seconds later. I offered $25. He said: "You are not buying Tomatoes." By midnight: 3 Stripe invoices, 6 payment reminders. By morning: "Let's not do timepass. Take care." Wrote the full story + fraud checklist for anyone relocating to the Gulf Full story: restless-brain.com/p/i-got-headhu…
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Slava Baranskyi, FCIM
Slava Baranskyi, FCIM@sbaranskyi·
$48 worth of ESP32 chips detecting heartbeats through walls. No cameras. No wearables. Just WiFi signals bouncing off your body. The disaster response angle is what gets me. Detecting survivors under rubble, classifying injury severity, estimating 3D position. That's not a cool GitHub project. That's the kind of tech that should be in every first responder's kit. And the fact that the AI model fits in 55 KB of memory and runs on an $8 chip means there's zero excuse for this not being deployed everywhere. Open source, MIT license. Sometimes the most important tech isn't the one with a $10B valuation.
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Rimsha Bhardwaj
Rimsha Bhardwaj@heyrimsha·
🚨BREAKING: A developer on GitHub just turned your WiFi router into a full-body surveillance system. It's called RuView. It uses the WiFi signals already in your room to detect human poses, track breathing, measure heart rate, and see through walls. Not a concept. Not a research paper. Working code you can run right now. Here's what this thing actually does: → Tracks full 17-point body pose using only WiFi signals → Detects breathing rate (6-30 BPM) without touching anyone → Measures heart rate (40-120 BPM) from across the room → Sees through walls, furniture, and debris up to 5 meters deep → Tracks multiple people simultaneously with zero identity swaps → Self-learns from raw WiFi data. No labeled datasets needed Here's how it works: WiFi signals pass through your room and hit the human body. The body scatters those signals differently based on position, breathing, even heartbeat. RuView reads that scattering pattern and reconstructs everything. A mesh of 4 ESP32 nodes ($48 total) gives you 360-degree coverage with 12 measurement links, 20 Hz updates, and sub-30mm precision. Here's the wildest part: It has a disaster response mode called WiFi-Mat. It detects survivors trapped under rubble through concrete walls, classifies injury severity using START triage protocol, and estimates 3D position. The kind of tool that saves lives after earthquakes. The Rust implementation processes 54,000 frames per second. That's 810x faster than the Python version. The entire Docker image is 132 MB. The AI model fits in 55 KB of memory. Runs on an $8 ESP32 chip. Train once, deploy in any room. No retraining. No recalibration. 1,100+ tests. 15 Rust crates on crates. io. SHA-256 verified capability audit. 100% Open Source.
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Slava Baranskyi, FCIM
Slava Baranskyi, FCIM@sbaranskyi·
The fact that Zuckerberg is building a personal AI agent to help him run Meta tells you everything about where this is going. CEOs don't adopt tools for fun. They adopt them when the alternative is falling behind. I've been running my own AI agent system for months now. Not at Meta scale, obviously. But the principle is identical: delegate information gathering, pattern recognition, and routine decisions to AI so you can focus on the stuff that actually needs a human brain. The difference between Zuck and most executives? He's not waiting for someone to sell him a solution. He's building it. That's the real signal here.
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Aakash Gupta
Aakash Gupta@aakashgupta·
Every CEO will be running an OpenClaw within 12 months. Zuck is just building his in-house. Here’s what to expect. Six days ago Jensen Huang stood in front of 30,000 people at GTC and said every company needs an OpenClaw strategy. OpenClaw hit 250,000 GitHub stars in 60 days, faster than Linux, React, or any open-source project in history. Peter Steinberger built the first version in an hour. Nvidia shipped NemoClaw, an enterprise security layer, on top of it. Anthropic shipped Cowork Dispatch before OpenAI shipped anything. The infrastructure for autonomous AI agents went from side project to enterprise standard in under two months. Zuckerberg building a personal CEO agent is what this looks like when a Fortune 5 company does it internally. A CEO at Meta’s scale sees maybe 1% of the information that determines whether a decision is right or wrong. The other 99% gets filtered through VPs, chiefs of staff, dashboards, and whatever made it into the pre-read. The agent replaces the filter. Think about what a CEO agent actually does. It ingests every product metric, every internal thread, every customer escalation, every competitive intelligence report across every team simultaneously. Then it surfaces the three things that actually matter this morning. Before every 1:1, it pulls that person’s team metrics, open headcount, recent launches, and the two things they said they’d deliver last quarter. When the CEO asks “what happens to our glasses timeline if we move 200 engineers to AI infra,” the agent gives a first-pass answer in minutes instead of a two-week strategy team exercise. And it never forgets. The person who remembered why the company killed that project in 2019 left two years ago. The agent didn’t. Meta employees are already running their own versions. Tools called “My Claw” and “Second Brain.” Engineering output up 30%, power users up 80% year over year. Zuckerberg is doing what his employees are doing. Applying it to the highest-leverage seat in the company. Now think about what that means for the people currently doing this work. Chief of staff. Executive assistant. BizOps. Strategy and planning. These roles exist to perform one loop: gather information from across the org, filter it, synthesize it, route it to a decision-maker, track the follow-through. Every step is a text-in, text-out task. Summarize this doc. Pull these metrics. Draft this brief. Follow up on action items. Cross-reference what engineering said with what finance approved. A typical Fortune 500 CEO has 8 to 12 people whose primary job is making them effective. Multiply that by every SVP with a chief of staff, every VP with a BizOps partner, every director with an EA. Thousands of roles per large company built around the information-routing function. The agent reads 400 pages of internal docs in seconds. It never misses context from a meeting three months ago. It doesn’t need to Slack four people for the latest numbers because it’s already connected to the source systems. The human in BizOps spends 70% of their week on information gathering and synthesis. The agent does that in minutes. That’s a 90% headcount reduction across chief of staff, EA, BizOps, and strategy roles over the next five years. The surviving 10% will be the ones doing work agents can’t: reading a room, managing a difficult exec relationship, knowing that the CFO’s “sure, let’s revisit” actually means no. Political judgment and human navigation. Everything else dissolves into software. The question every board should be asking: if your CEO isn’t running one of these by 2027, what are they making decisions on?
Aakash Gupta tweet media
unusual_whales@unusual_whales

Meta CEO Mark Zuckerberg is creating a CEO agent to assist him in his job, per WSJ

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Slava Baranskyi, FCIM
Slava Baranskyi, FCIM@sbaranskyi·
Solid breakdown. We took this a step further with OpenClaw. Same philosophy: CLAUDE.md is your source of truth, skills are modular, agents get isolated personas. But we added a layer on top: SOUL.md (who the agent is), MEMORY.md (what it remembers between sessions), and USER.md (who it's working for). The .claude folder is infrastructure. Agreed. But infrastructure without identity is just a tool. Give it memory and context, and it becomes a teammate.
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Akshay 🚀
Akshay 🚀@akshay_pachaar·
How to setup your Claude code project? TL;DR Most developers skip the setup and just start prompting. That's the mistake. A proper Claude Code project lives inside a .𝗰𝗹𝗮𝘂𝗱𝗲/ folder. Start with 𝗖𝗟𝗔𝗨𝗗𝗘.𝗺𝗱 as Claude's instruction manual. Split it into a 𝗿𝘂𝗹𝗲𝘀/ folder as it grows. Add 𝗰𝗼𝗺𝗺𝗮𝗻𝗱𝘀/ for repeatable workflows, 𝘀𝗸𝗶𝗹𝗹𝘀/ for context-triggered automation, and 𝗮𝗴𝗲𝗻𝘁𝘀/ for isolated subagents. Lock down permissions in 𝘀𝗲𝘁𝘁𝗶𝗻𝗴𝘀.𝗷𝘀𝗼𝗻. There are two .𝗰𝗹𝗮𝘂𝗱𝗲/ folders: one committed with your repo, one global at ~/.𝗰𝗹𝗮𝘂𝗱𝗲/ for personal preferences and auto-memory across projects. The .𝗰𝗹𝗮𝘂𝗱𝗲/ folder is infrastructure. Treat it like one. The article below is a complete guide to 𝗖𝗟𝗔𝗨𝗗𝗘.𝗺𝗱, custom commands, skills, agents, and permissions, and how to set them up properly.
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Akshay 🚀@akshay_pachaar

x.com/i/article/2034…

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Slava Baranskyi, FCIM
Slava Baranskyi, FCIM@sbaranskyi·
Been using Obsidian as my second brain for a while now. Adding NotebookLM + Anki on top of it is a smart move. The real bottleneck in learning was never access to information. It's retention. We consume 10x more than we remember. If AI can finally close that gap by filtering out what you already know and drilling only the new stuff, that's not a productivity hack. That's a fundamentally different way to learn.
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Paone
Paone@paonx_eth·
This russian guy hacked his brain to remember everything forever 2,000h of re-watching the same stuff - gone NotebookLM + Anki 50 sources in 1 click -> AI cuts the noise -> drills only new info into long-term memory most content is 80% filler you already know this pulls out only what's actually new and builds flashcards around it automatically no more forgetting in 5 seconds what used to take a month to master -> 3 days of hardcore learning youtube: zproger
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Slava Baranskyi, FCIM
Slava Baranskyi, FCIM@sbaranskyi·
This is where it gets real. Your AI assistant literally sees what you see and acts on it. No typing, no screens, just context. We're running OpenClaw as our core agent infrastructure, and seeing it paired with smart glasses feels like the obvious next step nobody took until now. The gap between "AI tool" and "AI teammate" just got a lot smaller.
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Rohan Paul
Rohan Paul@rohanpaul_ai·
This open-source Github repo gives your ClawdBot eyes! 🦞 Real-time AI assistant for Meta Ray-Ban smart glasses. Voice + vision + agentic actions via Gemini Live and OpenClaw Put on your glasses, tap the AI button, and talk: - Gemini sees through your glasses camera and describes the scene - delegates to OpenClaw, which adds it via your connected apps - Can route through OpenClaw to WhatsApp/Telegram/iMessage - web search via OpenClaw, results spoken back The glasses camera streams at ~1fps to Gemini for visual context, while audio flows bidirectionally in real-time.
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Slava Baranskyi, FCIM
Slava Baranskyi, FCIM@sbaranskyi·
The real issue here isn't that AI made mistakes. It always does. The issue is someone trusted an 8-hour unsupervised AI session on confidential board documents and then blamed the tool. That's like handing a junior analyst the annual report, leaving for the day, and being shocked it's wrong. AI is a copilot, not autopilot. You still need to fly the plane.
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Peter Steinberger 🦞
Peter Steinberger 🦞@steipete·
This guy emailed me asking for a *token session refund* because his claw made mistakes. 🙃
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Elon Musk
Elon Musk@elonmusk·
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Felix Rieseberg
Felix Rieseberg@felixrieseberg·
We're shipping a new feature in Claude Cowork as a research preview that I'm excited about: Dispatch! One persistent conversation with Claude that runs on your computer. Message it from your phone. Come back to finished work. To try it out, download Claude Desktop, then pair your phone.
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andrew chen
andrew chen@andrewchen·
AI is supposed to save me time, but now I find myself building stuff all evening and weekend and it's actually increasing my time in front of the computer WTF
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Melvyn • Builder
Melvyn • Builder@melvynx·
OpenClaw is not for coding. OpenClaw is not for coding. OpenClaw is not for coding. OpenClaw is not for coding. OpenClaw is not for coding.OpenClaw is not for coding.
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Esha ❤️
Esha ❤️@E_s_h_a__·
@riyazz_ai Learning OpenClaw feels like a smarter binge than Netflix honestly.
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Neyazuddin Ansari
Neyazuddin Ansari@riyazz_ai·
Instead of watching 2 hours Netflix Master openclaw in 317 minutes.
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Jihad
Jihad@jihad_sameul·
This OpenClaw Bot made $350,000 in 20 days. You can also do this, in simple steps with 1 laptop + Internet to make $1500/day. I have the exact step-by-step guide, priced at $1000, but it's free for 24 hours. To get it: 1. Comment "OpenClaw", I will send you in DM. 2. Like and Retweet. 3. Follow me @jihad_sameul Many people ask if OpenClaw agents can actually make money by trading. Check the below attached real example, btw you can copy this setup with my guide. Have you already set up your OpenClaw bots? Share your results. Make sure you Follow me @jihad_sameul such that i can send you DM.
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