ఈ కేసీఆర్, కేటీఆర్ , అసలు ఎంత నీచమైన వెధవలో తెలుస్తుంది.
వీళ్లు చేసిన అవినీతిని వాళ్ల సొంత ఇంటి బిడ్డలే బయటపెడుతున్నారంటే…
ఒక్కసారి ప్రజలు ఆలోచించాలి.
రాజకీయాల కోసం, పైసల కోసం, పదవుల కోసం ఎంతకైనా దిగజారే మనస్తత్వం వీళ్లది. మానవ విలువలు లేని మృగాల్లా ప్రవర్తిస్తున్న ఈ అయ్య కొడుకులు, అల్లుడు వ్యవహారం చూస్తుంటే అసలు వీళ్ల రాజకీయాల వెనుక ఉన్న అసలు రూపం ఏంటో అర్థమవుతుంది.
Sam Altman literally gave a 43-minute masterclass on turning ideas into billion-dollar companies.
Bookmark it and give it 43 minutes today, no matter what.
चुनावी हलफनामे के अनुसार भाजपा विधायक मैथिली ठाकुर के पास मात्र 1 लाख 80 हजार रुपए कैश हैं।
और गाड़ियों की बात करें तो उनके पास मात्र एक Honda Activa है।
लेकिन हाल ही में Maithili Thakur गणपति के मौके पर मुकेश अंबानी के घर 3 करोड़ रुपए की कार Rolls Royce से गईं थीं।
उन्हें विधायक बने हुए अभी 1 साल भी नहीं हुए और Activa से सीधे Rolls Royce पर आ गईं।
इस देश में नेतागिरी ही एक मात्र ऐसा प्रोफेशन है जिसमें अथाह पैसा है और मैथिली ठाकुर जैसे लोग इस बात की उदाहरण हैं।
🚨 NANDU’S WORLD KI BIG SHOCK! 😳 Telangana Victims Prajavani Ki! | Nandana Case
Nandu’s World Controversy 😳
COS Scam లో కొత్త ట్విస్ట్!
Full Video Out On YouTube Now !
#NandusWorld#scam#controversy#youtuber#exposed
Instead of watching 1 hour of Netflix today, watch this Stanford lecture by ex-GoogleBrain & OpenAI engineers.
This is the best explanation of how LLMs like ChatGPT & Claude actually work, and how to unlock 100% of their potential.
Worth watching whether you're a senior AI engineer or just taking your first steps in AI.
I took the key ideas and turned them into a practical guide for getting 100% out of AI.
You can find it below with ready-to-copy prompts and solutions.
Anthropic Engineering: "At Anthropic, we don't write prompts anymore. we build loops"
in 42 minutes, she shows how the Claude team creates loops that prompt themselves
if this cost $400, people would call it the best agents course of the year
it's free
watch it, and Bookmark.
🚨Leave Netflix tonight.
Watch this 2 h 34 min Stanford class.
It's the clearest, most complete, and brutally honest explanation out there on how ChatGPT and Claude are really built.
From Tokenization and BPE to the Transformer architecture, the training pipeline, and the next-token decoder. No fluff. No marketing. Just the truth.
Doesn't matter if you've never touched a line of AI code or if you spend your days launching Agents: by the end, you'll suddenly connect a ton of pieces you've been trying to fit together for years.
The real core boils down to this:
How text turns into numbers the model can "eat" (BPE tokenization)
The sole mission of a language model: predict the next token
How the Transformer uses Attention so tokens can pass messages to each other
In training, the NLL loss pushes the probability of the entire sequence
In generation, the decoder builds the response token by token
The big-picture view that takes most people years to form… this class delivers it to you complete in one sitting.
Free up your time.
This could be, no exaggeration, the most valuable class you watch this month.
पैसा कमाओ — टैक्स दो
पैसा खर्च करो — टैक्स दो
पैसा बचाओ — टैक्स दो 💸
अगर पैसे से कार खरीद ली तो
कार खरीदने पर टैक्स
कार चलाने पर टैक्स
कार खड़ी करने पर पार्किंग और तेज चलाने पर जुर्माना तो लगेगा ही।
पहले नोटबंदी कर ऑनलाइन पेमेंट को मजबूर किया। अब #UPI पर भी चार्ज लगाना शुरू कर दिया।📱
बस डर यही है कि “सांस लेने पर 500 रुपये महीना” वसूलने वाला आइडिया कहीं साहब को क्लिक न कर जाए। 😅 @Ashneer_Grover
Social media shows everyone happy, constantly travelling, posting ₹4 lakh a month is enough to live in Bengaluru
Step outside the bubble, reality is different.
Thousands stand in line for a ₹30,000/month job