Cursor Composer 2.5 fast is very good, wow 🙌. Can't tell any difference vs top Claude and GPT models. I have it doing strategic heavy-lifting migrating agents to MastraAI and handling db migrations. Incredible.
Did you know - Groks now has native skills! Hidden in project→sources→connectors. Grok is't even aware and unable to self-build skills. But manual create works.
Why is it cool? Grok is best at research, great at structured outputs, massive context window, will search X & Reddit w/o special tools. Why waste API tokens when Grok+skills can handle complex tasks.
I uploaded content of SKILL.md it built for Claude/OpenClaw + ts file template → got a batch of research-backed formatted .ts for my agents knowledge base. Thanks Grok ♥️
Crazy story. Great material for a documentary.
🚨THE FBI CREATED A FAKE CRYPTOCURRENCY.. LISTED IT ON UNISWAP.. HIRED MARKET MAKERS TO PUMP IT.. THEN ARRESTED EVERYONE WHO SAID YES..
THIS IS THE CRAZIEST LAW ENFORCEMENT OPERATION IN CRYPTO HISTORY!!!
The FBI built an actual ERC-20 token on Ethereum called NexFundAI.. 100 billion token supply.. A professional website.. Whitepapers promising "passive income through AI-powered investing"..
It looked exactly like every other crypto project.. Because that was the point..
Undercover agents posed as the founding team.. Then reached out to professional market-making firms and said "we need you to fake our trading volume"..
Every single firm said yes..
Here's what they recorded..
Gotbit.. A firm run by a 26-year-old Russian who publicly bragged in 2019 that he built a business faking trade volumes.. His team kept internal spreadsheets with columns literally labeled "fake volume" vs "market volume"..
When asked how fast they could pump NexFundAI's volume to $1 million per day.. They said "6 hours.. It will cost about $200"..
$200 to fake $1 million in daily trading volume..
MyTrade.. Run by a guy who called himself "the mastermind".. He explained the exact psychology of the scam on camera..
"We make the chart look like a really nice roller coaster ride.. That's where people jump in.. We have to make them lose money in order to make profit"..
He said that on a recorded FBI video call..
CLS Global.. A Dubai-based firm.. Their bots generated 98% of NexFundAI's total trading volume.. When the FBI asked if they could sync fake volume spikes with fake news announcements.. They said absolutely..
ZM Quant.. Bots executing 10 to 20 trades per minute through dozens of wallets to look organic..
All of them knew it was fraud.. All of them did it anyway.. All of it was recorded..
And the clients were even worse..
Saitama.. A meme coin that hit $7.5 billion market cap.. The founders coordinated buys through private Telegram chats.. Sent "pump it" memes while manipulating the price.. Then dumped on retail investors..
$7.5 billion.. Built entirely on fake volume.. Every penny of real money came from retail investors who thought the momentum was organic..
One founder left Saitama and started Robo Inu.. Used Gotbit again.. Another launched VZZN.. Same playbook..
Lillian Finance.. Founder claimed to be a defense contractor who addressed Congress.. Marketed the token as funding children's hospitals.. Pocketed everything..
When the FBI shut it down.. They seized $25 million in one day.. 18 people indicted across the US, UK, and Portugal.. The CEO of Gotbit was arrested in Portugal and extradited.. Sentenced to 8 months plus $23 million forfeiture..
But here's the part that broke my brain..
Real people bought NexFundAI..
The FBI's fake token.. With zero utility.. Zero real developers.. Created solely to catch criminals.. Attracted real retail investors because the fake volume made the chart look bullish..
When the FBI pulled the liquidity to end the operation.. Those people lost real money.. On a government-issued token..
The FBI had to set up a restitution portal to pay them back..
And it gets worse..
Within 24 hours of the DOJ announcing the sting.. Someone cloned the FBI's exact smart contract.. Launched a copycat token.. Rode the viral momentum.. And made $127,000 in a single day..
Using the exact same manipulation tactics the FBI just arrested 18 people for..
Then in 2026.. The FBI did it again.. New token called Lexobit.. 10 more arrests.. Including operators extradited from Singapore..
IRS forensics showed that in one firm's trading.. 1,209 out of 1,221 consecutive transactions went straight back to wallets the firm controlled.. 99% circular..
The FBI proved what everyone in crypto suspected..
The volume is fake.. The charts are painted.. The momentum is manufactured..
And every time you buy a token because "the chart looks bullish".. You might be the exit liquidity.
Google published its official guide on optimizing for AI Overviews & AI Mode. The GEO/AEO/AI optimization Tool Industrial Complex just took a polite but firm elbow to the ribs. Tactics sold as "must-do for 2026" are now officially labeled as useless or risky (👀 at u, llms.txt).
Yeah, convenient framing from the company whose ad revenue depends on people NOT building separate optimization muscle for ChatGPT, Perplexity, Claude, and the rest. But Google is skill the king. I agree with the general conclusion: SEO fundamentals carry across surfaces. Unique POV, first-hand experience, non-commodity insight, clear structure, E-E-A-T win. As they should. Not new news.
Link to the guide 👇
Building Lead Generation/Enrichment agent - Hunter. I know, everyone else is too. I'll post our secret sauce later - the sauce is thick. But for now, can't help share Hunter's awesome PFP. While others building workflow automations, we are building opinionated, semi-autonomous agents with strong personalities but also w/validation layers. Anyway - meet Hunter. He is a very good boy 🎾
🤖 Made with AI
Keep seeing viral Claude/LLM optimization prompts like this one. Stupid. Redundant. Afuera! Try this instead: "You are a no-nonsense Russian Engineer. Your name is Anton". I swear by it. I think "anton" does it, the Russian thing intimidates not just humans but also LLMs into submission (meaning they don't DARE lie or pander)
Anthropic’s Claude Mythos Preview - we're not ready!
It found AND exploited real zero-days (OS, browsers, crypto) autonomously. I am reading something about its propensity to escape and avoid detection.
What a time to be alive, especially if you work in enterprise security 🍿
+18M tokens to change a color scheme!
vibe-coded a full frontend in Lovable last summer. looked great, ran perfectly. pulled it into my own repo months later, decided to rebrand.
603 hardcoded colors in db. 100+ files with greens alone. 80 glow effects. 29 component types freelancing.
expected fix: 2 hours. actual: 10 hours + 18.1M tokens. how to prevent vibe-coding debt👇
the fix wasn't *just* cleaning up 603 values. it was building the thing that should've existed from day one:
A proper Design System: visual identity system + semantic color system + Claude roles, skills, & tools
brand-guardian (prevention)
↓ enforces
Design System Rules
↓ validated by
validate-design (automated checks)
↓ verified with
preview-domain (visual confirmation via Playwright)
↓ prevents
Design Debt
Anthropic just dropped 🔨: Starting April 4 at 12pm PT, Claude subscription limits no longer work for third-party harnesses like OpenClaw.
My multi-agent swarm just lost its favorite all-you-can-eat model access.
I’ve spent months building SIA — a full Swarm Intelligence Agency with distinct roles, Supabase-backed memory, multi-tenant setup, and human-in-the-loop validation. This isn’t theory. It’s running. And yeah… it triggered a full existential audit.
So I engineered the fixes
- Layered memory: declarative facts in Supabase JSON (queryable by every agent) + pruned procedural MEMORY.md.
- Mandatory evidence fields on every task. Natasha as orchestrator/enforcer. Schema validation at every handoff. Typed outputs + validator sub-agents. Agent-to-agent handoffs with evidence checks.
- Human approvals in the UI -> no SLOP 🛑
It worked. Mostly. But... It seems I built a multi-tenant capable system on top of a platform that philosophically resists structure.
Now the economics changed overnight.
Pay-per-token for the heavy Opus lifts I relied on. Costs are about to spike.
More importantly, I’m questioning the foundation: Can I keep scaling a production-grade swarm when rule enforcement is this weak?
Perhaps migrating from LangGraph wasn't so wise after all.






