Crypto_Zues retweeted
You don't need to be a seer nowadays kujua wale wamelipwa. Huyo kijana hananga pesa. I'm richer than him. Amelipwa.
Crypto_Zues retweeted
🇰🇪🚨KENYA: RUTO SOUS PRESSION !
Des jeunes kényans dénoncent le discours de @WilliamsRuto contre les étrangers et appellent au calme. Ils lui lancent un avertissement: « Si vous chassez les étrangers du Kenya, vous devrez aussi partir après eux. Vous ne resterez pas au pouvoir.»
Crypto_Zues retweeted
"Sell Dangote Refinery to me in six minutes."
David Bird, the CEO of Dangote Refinery:
this is insanely dangerous
i just watched an 18-year-old calmly break down how he pulls in $10k/month with ai while he sleeps and now i’m convinced 99% of people are completely asleep at the wheel
the whole system:
find a youtube channel that uploads nonstop. paste the link into one tool. connect your tiktok, instagram, youtube shorts. shut the laptop.
after that, ai runs the machine it monitors every new upload, rips out the high-retention moments, adds captions, and fires them out across every platform.
> 1m views ≈ $2,000
> no editing, no posting, no hassle
> 10 minutes to set up, then it prints on autopilot
you’re not “creating content” anymore. you’re running a content assembly line.
the full step-by-step is in the article below exact tools, exact stack, exact workflow
Crypto_Zues retweeted
The winner of an Anthropic hackathon open sourced his entire Claude Code setup. 68 subagents, 286 skills, 94 commands, MIT license
ECC turns Claude Code from one assistant into a full engineering team. It plans before it builds, writes the failing test first, then reviews its own work from a fresh context.
The agents, by job:
Planning. Turns a one-line request into a blueprint you approve before any code exists.
Review. Reads your diff in a clean context, with separate reviewers for Go, Python, TypeScript, Rust, Java and more.
Build repair. One resolver per toolchain, down to PyTorch and CUDA errors.
Security. An OWASP pass on your code, plus a scanner that audits your own agent config for injection risks.
Architecture. System design calls before they turn into migrations.
Domain work. Database queries, ML pipelines, end-to-end tests, docs.
The skills, by category:
Testing. tdd-workflow gates you from red to green, with eval-harness and verification-loop sitting on top of it.
Language packs. Idioms, testing and security for Python, Go, Rust, C++, Django, Laravel, Spring Boot, Next.js.
Context. search-first makes it read the docs before writing, iterative-retrieval keeps subagents from dragging your whole repo into the window.
Shipping. Docker, CI/CD, health checks, rollbacks, and migration patterns for Prisma, Drizzle and Django.
Work that is not code. Writing in your voice, market research with sources, pitch decks, slide decks.
Start with one plan and one rules pack. Installing all 286 skills at once is the fastest way to make it worse.
Crypto_Zues retweeted
How my feed has been waiting to reenter bitcoin:native for the past few months...
Crypto_Zues retweeted
THIS AI COMPANY DIDN’T EXIST BEFORE THE MISSION STARTED.
IT WILL DISAPPEAR THE MOMENT THE OUTPUT IS ACCEPTED.
I stopped designing permanent AI teams. Instead, I built the Mission Company Reactor, where Grok Bot reads the workload and forms a temporary company around it.
The visualization shows the entire lifecycle:
→ The cyan stream is the mission entering with its objective, constraints, budget, and authority.
→ The Grok core prices context, parallel value, failure cost, review need, and reversibility.
→ The six rotating modules are temporary role contracts for Manager, Research, Strategy, Product, Build, and Review.
→ The yellow stream is verified output leaving the system.
→ The red route is failure ejection. If an agent fails, Grok Bot isolates the role, freezes its authority, preserves the last accepted checkpoint, and assigns a replacement.
The moving rings represent the company being continuously repriced as the workload changes. Roles can be created, narrowed, replaced, or removed during execution.
Once the final output passes its acceptance gate, Grok Bot preserves the useful state and dissolves the company.
The full guide below explains how Grok Bot builds, runs, repairs, and closes a new AI company for every mission.
Grok Bot is blowing up right now and for a good reason.
So I've been glued to it for the past week and just recorded a 2 hour course.
Linked in the replies.
Crypto_Zues retweeted
instead of watching 2 hours of Netflix tonight, watch this 1 hour Google course on AI engineering
a Google engineer walks you through building AI agents like Grok Bot from scratch, step by step
useful whether you've never touched AI in your life or have been building with it every day
i took the key ideas and turned them into a practical guide on how to actually build a system that improves itself
watch it, then read the guide below, with ready-to-copy prompts
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WHOEVER LEAKED THIS HAS ZERO FEAR
SOMEONE CONNECTED 350 GROK BOTS TO RUN A ONE-PERSON TRADING DESK.
I thought it was just another AI experiment until I saw the setup.
One bot scans the market.
Another hunts for setups.
Another analyzes news and sentiment.
Another tracks whales and on-chain activity.
Another manages risk and exposure.
Then a HEAD OF DESK Grok coordinates everything and sends the owner only the trades that actually need approval.
No team of analysts. No staring at charts all day.
Just 350 Grok bots passing information between each other 24/7.
The craziest part?
The owner said he barely touches the system anymore.
FULL GUILD ON HOW TO BUILD IT BELOW
Crypto_Zues retweeted
INSTEAD OF WATCHING NETFLIX TONIGHT. Spend 2 hour with this. Claude AI FULL COURSE that teaches you how to BUILD and AUTOMATE anything. The people who watch this tonight will wake up tomorrow with a new skill. Watch it and bookmark it now.
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Crypto_Zues retweeted
Google Brain founder, Andrew Ng:
"Prompting will be dead in 6 months, graphs are what's replacing it."
In 2 hours at Stanford he shows how to build agents that work and improve entirely on their own.
The first 10 minutes cover what most $500 courses never do.
Watch the lecture first, then read the guide below on how to build a system that improves itself.
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