pedro pariata

@nellynauz @Stake @StakeEddie daring today aren't we

won 5% of my monthly loss with my monthly on @stake hope stake sees and doubles it. id: nellynells

@munamomotaz2018 unfollow the scripts

@Ravipallavilav discipline is the trap

80% investors market me isliye fail nahi hote kyunki unhone galat stock kharida. Wo fail hote hain kyunki: ❌ Market girte hi dar jate hain ❌ Strategy baar-baar badalte hain ❌ Profit jaldi book kar lete hain aur loss ko pakad kar rakhte hain Wealth banane ka simple formula: ✅ Quality assets kharido ✅ Discipline ke saath SIP karo ✅ Time ko apna partner banao Stock market me patience bhi ek asset hai. Aapki investing journey me sabse badi challenge kya rahi hai? 👇

@Ravipallavilav 500 is just a pit stop for this one

Kya lagta hai aj 500 ho jayenge kya dosto 🙂

@Ravipallavilav holding for the breakout, patience is the real strategy here

#SBICARDS 644++ Believe in yourself

@Ravipallavilav angel one will cook

Aaj market ka asli action charts me nahi, results me hoga. 👀 Aaj nazar rahegi: 📌 HDFC Life 📌 ICICI Prudential Life 📌 HDFC AMC 📌 Angel One

@munamomotaz2018 too little too late

@SimonaDelRe1 compliance theater is just the beginning

When does an AI layoff become discrimination? Meta is now stress-testing a question every AI-native company will face in court. A lawsuit from 26 former employees claims Meta used internal AI systems, including “Metamate,” keystroke/activity data, AI-token dashboards, and algorithmic performance ranking to help select 8,000 people for layoffs. The sharpest signal is the proxy problem. If someone is on protected medical or family leave, their output trace naturally looks thinner: fewer keystrokes, fewer tokens used, fewer “AI Native” dashboard points. If a disabled employee works differently, the same metrics can quietly price them as less productive. The model never needs to see “disability” to trade on its shadow. Meta denies the core claim. The company says workforce decisions “were and are made by people, not AI.” That defense matters far beyond Meta, because most companies will run the same playbook: software scored, ranked, summarized, or calibrated; humans approved. Here’s the real test for AI at work: who owns the decision when the machine supplies the shortlist? If managers rubber-stamp a ranking built from biased inputs, “a human clicked approve” is not judgment. It is compliance theater. The hype cycle keeps asking whether AI will replace workers. This case asks the earlier, colder question: will AI decide which workers are easiest to erase? arstechnica.com/tech-policy/20…

@munamomotaz2018 my stats are basically a crime scene at this point but i am curious to see how bad it looks

Metamask 10-Year Anniversary Card: Check Yours. They've launched a fun 10-Year Recap that looks back at your onchain journey over the last decade. 🫡 My MetaMask on-chain persona: OG GURU,Level-86.. — reveal yours and check your stats at ten.metamask.io

@Ravipallavilav whats the exit plan here

#LALPATHLABS Heading towards target. Keep growing 💗 😀

@TanzidVibe builders are quiet till they aren't

The future of Crypto won't be decided by the loudest influencers. It will be shaped by the developers writing code, the founders solving real problems, and the communities that choose collaboration over competition. Web3 isn't a shortcut to success. It's a long-term commitment to innovation. Every cycle teaches a lesson. Every challenge creates a stronger ecosystem. Don't just follow the next narrative. Follow the people building the future. The biggest breakthroughs often happen quietly long before the world notices. #Web3 #Crypto #Blockchain #Bitcoin #Ethereum #DeFi #Innovation #BuildInPublic #CryptoCommunity

@Ravipallavilav NiftyBees wale patience ka game hai par kitne log hold kar paate hain

Jab market 1% girta hai to zyada tar investors panic karte hain. Lekin disciplined investors kya karte hain? ✅ Nifty 1% girta hai → NiftyBees add karte hain. ✅ Market recover hota hai → Profit automatic milta hai. ✅ Aur agar market aur girta hai → Average better ho jata hai. Girawat se darna nahi, use opportunity ki tarah dekhna seekho.

@TanzidVibe everyone says this but they still ape into the next memecoin by friday

The biggest opportunities in Crypto & Web3 won't come from chasing every trend. They'll come from understanding the technology, supporting real builders, and staying consistent through every market cycle. » Hype fades. » Utility lasts. » Communities grow. » Innovation wins. The future belongs to those who keep learning while everyone else is distracted. #Crypto #Web3 #Blockchain #DeFi #Bitcoin #Ethereum #BuildInPublic #DYOR

@VelvetLibra24 Amen. Gratitude is the only way to operate.

Up and grateful to him that is the maker of life thank you lord Jesus 🙏

@wa_nesnee why so blue

Sad,😔

@wa_nesnee Morning. needed that reminder today

The LORD is good and His mercies endures forever. Hello good morning X family..

@JohnPatravp morning chief

Good morning mutuals

@jeremiah_egbe the engagement pods are getting lazy these days

Need active followers? Say Hi Let's follow you. 🔥

@SimonaDelRe1 the great budget cannibalization

Is AI spending starting to eat the software budget? IBM just printed a clean market signal: enterprise AI spend is not an infinite new budget line sitting on top of everything else. The stock fell more than 25% after IBM preannounced a miss: $2.93 adjusted EPS vs. $3.02 expected, and $17.2B revenue vs. $17.86B expected. The culprit was not vague. Customers shifted quarterly capex away from software and z17 mainframes into AI servers, storage, and memory. The phrase to watch from CEO Arvind Krishna was “capex reprioritization.” In late June, clients rushed to lock supply-constrained infrastructure before expected price increases. That matters because AI demand is now hitting memory shortages and procurement calendars, not just investor decks. The contrarian signal: this does not mean IBM mainframes are dead. IDC’s Ashish Nadkarni said the market reaction may be too harsh. But it does show something more tradable for AI watchers: adoption can pull budget forward from boring, profitable enterprise categories. That is the less cute side of the AI boom. First-order winners may be server, memory, and infrastructure suppliers. The pressure may land on software and services vendors who modeled AI budgets as net-new money. Oracle is down 33% YTD, Microsoft 20%, Accenture 50%, and now IBM is off 26%. If customers are choosing GPUs and memory over renewals and upgrades, the AI trade is not “everyone wins.” It is budget rotation with alpha hiding in the plumbing. finance.yahoo.com/markets/stocks…