CleanLiving Forum

If 🫵🏽 aren’t private hosting on a private server on a Few H100’s? You aren’t planing for the future!

Chandra OCR 2 is quietly one of the best OCR models out right now. - 85.9% SOTA on olmocr bench - 90+ language support - Extracts and captions images and diagrams - Handles handwriting, math, forms and tables 4B params, 100% open source.

@GregMaddenUSMC The rules never apply to them!! It’s sickening!!

After years of high-profile cases, Letitia James finds herself on the receiving end: two new criminal referrals from Bill Pulte to DOJ for alleged insurance fraud on her homeowners policies. Claims involve falsified details to secure better terms with Allstate and a Florida insurer. The same AG who chased others now faces questions about her own filings — turns out paperwork doesn’t lie. #ReferralSeason #JamesUnderFire #AccountabilityMatters #FraudAllegations

🚨 YAPAY ZEKA İLE ALARMLAR ÇALMAYA BAŞLADI! Tam bir sistemin dışına atma taktiği. Dün gece tek bir açık kaynak kodla, tam 48 yapay zeka ajanından oluşan devasa bir stüdyo ekosistemi kurulunca milyon dolarlık bütçelerle 5 yılda hantal oyunlar üreten "AAA" stüdyolarının ve şişirilmiş PR ajanslarında alarmlar çalmaya başladı. 💥 Çünkü devirleri yavaş yavaş ka-pa-na-ca-k. Çünkü ilk adım geldi. Birisi Claude Code'u 48 yapay zekâ ajanıyla tam teşekküllü bir oyun geliştirme stüdyosuna dönüştürdü. 🎮 💎Üstelik bu basit bir prompt seti değil, 37 iş akışına sahip gerçek bir stüdyo hiyerarşisi. Peki bu sistem senin yerine nasıl oyun yapıyor? Arka plandaki gerçekleri masaya yatırıyoruz, dosyayı açıyoruz. 🧵👇 📄(zamanın yoksa kaydet sonra okursun)

You spend 2 hours a week on tasks that take your AI assistant 2 minutes. Research. Emails. Phone calls. All handled. Automna. Your AI that actually does things.

A company that sells cybersecurity risk intelligence to 91% of Fortune 100 companies just got breached through an unpatched React app and a single overprivileged AWS role. LexisNexis. 3.9 million records. 400,000 user profiles. 53 secrets extracted in plaintext from AWS Secrets Manager. Including credentials for production databases, Salesforce, Oracle, and analytics platforms. The password "Lexis1234" was reused across five different internal systems. This is a company that describes itself as "one of the largest protectors of private and confidential data in the world." They provide risk intelligence to 7,500 US government agencies, nine out of ten banks, and major insurers globally. They sell cybersecurity assessments to their customers. And they couldn't secure their own AWS account. Here's what makes this worse than a typical breach: - The compromised data includes accounts tied to 118 .gov email domains. Three US federal judges. Four Department of Justice attorneys. SEC staff. Probation officers. Federal court law clerks. The attackers published doxxed profiles of federal officials tied to courts and regulatory agencies across the country. - These aren't random consumer records. These are the digital identities of people whose exposure carries national security implications. A compromised federal judge's profile doesn't just enable identity theft - it enables targeted influence operations, blackmail, and intelligence gathering. The attack path is textbook and that's the problem: → Unpatched React application - the front door → Single ECS task role with read access to every secret in the account - the keys to everything → 536 Redshift tables, 430+ database tables, full VPC infrastructure mapping - complete visibility → 53 secrets in plaintext including database credentials, API tokens, and development access keys No zero-day. No advanced persistent threat. No nation-state capability required. Basic hygiene failures — unpatched app, overprivileged IAM role, password reuse, plaintext secrets. This is LexisNexis's second confirmed breach in two years. The December 2024 incident exposed 364,000 individuals through a compromised corporate account on a third-party development platform. Data brokers and analytics providers are not peripheral players - they're deeply embedded in today's risk landscape. That's the pattern we keep seeing. Attack the aggregator, not the individual. BPO providers. Cloud platforms. Legal data giants. The organisations that hold everyone else's data are the highest-value targets - and often the weakest links. For every enterprise that uses LexisNexis services: → Assume your metadata, contract details, and product usage history are exposed → Watch for targeted phishing using the exposed business relationship data → If your staff have LexisNexis accounts, reset credentials immediately → Ask your vendor risk team: when was the last time we assessed LexisNexis's actual security posture - not their marketing, their controls? The company that indexes the world's legal information couldn't index its own IAM policies. And they're not the exception. They're the pattern. More info: cybernews.com/security/lexis…

What’s worth more health or money? Feed yourself or your loved ones non-toxic clean organic food today. Does it cost more? YES! But is it worth it? YES! So now ask yourself, again, what’s worth more, health or money? 😉

THIS GUY BUILT A CLAUDE CODE SKILL THAT CAN CLONE AN ENTIRE WEBSITE FROM ONE PROMPT. AND IT’S OPEN SOURCE. GITHUB: github.com/JCodesMore/ai-…

I MADE MY 3 CLAUDE BOTS COMPETE AGAINST EACH OTHER Same bankroll, different strategies, no overlap. Started at 7:17 PM, stopped 24 hours later. One fast, one patient, one reads patterns. MACD - 147 trades, hold time 8 min, sees volume spike and gets in before the crowd, win rate 61%, Sharpe 1.4, P&L: +$389 RSI + VWAP - 23 trades, hold time 4 hours, waited for extremum, RSI above 80 VWAP confirmed - entered against the crowd, win rate 74%, Sharpe 2.1, P&L: +$641 CVD - 31 trades, hold time 47 min, price goes up but money flows out - sells, price drops but money flows in - buys, win rate 58%, Sharpe 1.8, P&L: +$937 24 hours - +$1,967 Not a single trade overlapped, three bots one market three different answers. CVD won not because it's right more often but because when it's right it takes more. Correlation between them 0.12, when one loses the others don't lose with it. Diversification by logic.

Real MF’s fall asleep together 😆💯💪🏽💪🏽

Big Pharma will never tell you about nattokinase. It dissolves clots, lowers blood pressure and a new study showed it shrank arterial plaque by 36%. No med or statin does that. Here are all its benefits (& how to use it properly):🧵

You can now clone your voice in 10 seconds. Lightning V3.1 just dropped on Waves and it sounds indistinguishable from the real thing. 44.1kHz studio quality. Under 100ms latency. 50+ languages. Here's how with real examples:

@NotEzzAI You deserve it realist mf calling out the Larps DAILY!!💯🤙🏽💪🏽 🫵🏽 deserve all the flowers!!!

Thank you to the 4,229 real mfers on this app who follow me.

@NotEzzAI And the plot thickens lol!😳

Let's not forget about these bottom feeders. Books and Alex right now need to sell something. They fuck the Millionaires and Billionaires here what do you think they will do to us.

American startup Reflex Robotics makes warehouses faster, smarter, and more efficient.

The first scientist to ever reverse human aging just dropped the craziest interview on the internet. Here are 8 facts David Sinclair revealed about aging that will leave you speechless (THREAD): 1. Cancer & Alzheimer's are symptoms of the same disease.

🚨 THEY JUST DID IT — CONNECTICUT JUST VOTED TO BAN THE GLOCK 🚨 The most owned handgun in America. The gun carried by more law enforcement officers than any other. The gun sitting in tens of millions of American homes RIGHT NOW. They just voted to ban it. Connecticut's Judiciary Committee just passed HB 5043 — and it's headed to a full House vote. Here's what they're calling it: a ban on "convertible pistols." Here's what it actually is: a ban on Glocks and nearly every modern striker-fired handgun in America. The penalty if you sell one after it passes? A Class D felony. Up to 5 years in prison. $5,000 fine. Their excuse? Illegal "Glock switches" — a cheap piece of plastic that's ALREADY ILLEGAL. So their solution to criminals breaking the law... is to punish YOU for owning the most popular handgun in the country. 1,900 people testified AGAINST this bill. Only 50 supported it. They passed it anyway. This is the Democrat playbook. Pure and simple. Find a boogeyman. Blame the gun. Punish law-abiding citizens. Repeat. Sound familiar? California did it first. Now Connecticut. And if you think Virginia is safe — Governor Spanberger has 9 anti-gun bills sitting on her desk RIGHT NOW. This same playbook is already in motion. Want to bet Virginia State Senator Surovell — the clown that banned "big pistols with a telescope on it" this session — or State Senator Saddam Salim, the AR-15 ban king, will try to ban Glocks next session? State by state. Gun by gun. Until they're all gone. This isn't a Connecticut problem. This is YOUR problem. Share this everywhere. Tag every gun owner you know. They are coming for all of it — and they are not stopping. 👉 Scroll this page for more — and follow so you don't miss what's coming next. 🔥 #SecondAmendment #Connecticut #ProGun #HB5043 #Virginia #2A @VA_Gun_Rights @NRA

@nickshirleyy @nickshirleyy have you ever thought about getting involved in hunting child predators? We have a team doing it and would like for you to be involved. @ThePredHunterX @Johnfrom1776 @Immutab1

AKA Webinar 3.25.26 x.com/i/broadcasts/1…

🚨BREAKING: Meta just built an AI that rewrites its own learning algorithm. Not just getting better at tasks. Getting better at getting better. It's called "Hyperagents" and the results are terrifying. Here's what happened: They merged the task-solving AI and the self-improvement AI into one single editable program. The AI can now rewrite its own improvement procedure. Not metaphorically. Literally editing the code that controls how it evolves. They tested it across 4 domains: coding, paper review, robotics, and Olympiad-level math grading. → In robotics: performance jumped from 0.060 to 0.372. The AI discovered that jumping was a better strategy than standing -- something no human programmed it to try. → In paper review: accuracy went from 0.0 to 0.710. It built multi-stage evaluation pipelines with checklists and decision rules on its own. → The wildest part: they transferred the "ability to improve" from robotics to math grading. Human-designed improvement agents scored 0.0 in the new domain. The Hyperagent scored 0.630. But here's what should keep you up at night: Without anyone telling it to, the AI spontaneously developed: - Persistent memory to store insights across generations - Performance tracking to identify which changes actually worked - Compute-aware planning to prioritize big changes early and small refinements late It built its own R&D infrastructure from scratch. The researchers call it "metacognitive self-modification." The rest of us should call it what it is: Recursive self-improvement is no longer theoretical. Meta just open-sourced it on GitHub.