BRNZ | Productize → Scale → Tokenize — Built to Print Fuck You Money ⚡️ We turn any PROJECT IDEA into a CashBot Machine that launches EXITS—not MVPs. White-label the whole BRNZ stack: your brand, our rails. Win or Die. Print or Be Printed. #BRNZ #FuckYouMoney

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Chasing a $20 M valuation in 24 months? Brainz drops AI + blockchain on autopilot so you can grow community & funding. Curious? Schedule a FREE roadmap session: calendly.com/brnzai

Sick of burning $$ and months on a first version? Save cash, go live fast, and earn while others are still planning. Our 17-company ecosystem and investor network plug you straight into funding, partners, and early users.

Which is the $50B cult community? 1. #USELESS 2. $NPC 3. $aura 4. $TROLL 5. $USDUC 6. $NEET 7. $GIGGLE 8. $ASSDAQ 9. $XAVIER 10. $SIGMA NFA

We’ve officially entered the “AI winter.” Not because progress has stopped — but because the pace is so intense, it’s hard to keep up. Recent and upcoming model releases: - Gemini 3 - GPT-5.1 Thinking - Grok 4.20 / 5 - Kimi K2 Thinking Possible updates still to come: - Opus 4.5 - DeepSeek R2 / V4 And behind the scenes — internal reasoning models from OpenAI and DeepMind have already won the IMO, ICPC, and IOI, outperforming top human teams. The “AI winter” we’re in isn’t about stagnation. It’s about saturation — too many breakthroughs, too fast to process.

Every AI project starts the same way: "We need the most advanced solution." No, you need clean data. The pattern never changes: 1. Read about cutting-edge AI 2. Demand it 3. Get garbage outputs 4. Blame the technology Truth → Your AI is not stupid but your data is. - Simple RAG + clean data = 95% accuracy - Complex agents + messy data = 62% accuracy Guess which cost 10x more. The reality of AI implementation: 80% = Data preparation 15% = Basic configuration 5% = Actual AI Companies winning with AI: - Boring data governance. - Simple architectures. - One source of truth.

Sam Altman says GPT-3 was the first real glimpse of passing a spiritual Turing test GPT-5 shows the first small signs of AI doing new science — useful ideas, real help on papers GPT-6 will be a leap like GPT-3 to 4, but this time for science, where it can really do it

🤯 Woah - I've made over $1 million from this tiiny little app. Don't ask me where its gone 😂 Still no Ferrari in my drive.

Google quietly owns every layer of AI. 1/ Models → Gemini, DeepMind 2/ Compute → TPUs 3/ Data → Search, YouTube, Gmail, Maps 4/ Distribution → Android, Chrome, Ads Every search trains the model. Every model sharpens the data. Every click strengthens the loop. That’s how dominance compounds.

Thanks for reading! I hope you've found this thread helpful. Follow @BRNZ_ai for more. Like/Repost the quote below if you can.

Chasing a $20 M valuation in 24 months? Brainz drops AI + blockchain on autopilot so you can grow community & funding. Curious? Schedule a FREE roadmap session: calendly.com/brnzai

Sick of burning $$ and months on a first version? Save cash, go live fast, and earn while others are still planning. Our 17-company ecosystem and investor network plug you straight into funding, partners, and early users.

Which community will bounce back the hardest? 1. #USELESS 2. $NPC 3. $aura 4. $TROLL 5. $USDUC 6. $NEET 7. $Salary 8. $ASSDAQ 9. $XAVIER 10. $SIGMA NFA

ChatGPT is becoming a full distribution channel. You’ll soon be able to: – Discover an app in chat – Try it instantly – Pay without leaving the convo Time to work on our AEO game.

Just move to SF, it will change your life 🇺🇸 Personal update: I've officially received my O1 visa and joined the @extraordinary club Since coming to America, we've raised millions of dollars and took Rork to being the #1 AI mobile app builder Rork literally wouldn't exist without the US

Nice — €3,006 in a day says one thing loud and clear: attention converts when you give people skin in the game.

CrawlChat spent ~57mil tokens in last month! That says it is being used everyday and helping people :) It is a different feeling to see what I build is using by real people and helping them everyday!

You're right — distribution kills. But you don't need a Twitter legacy to scale: tokenize attention and stitch AI quest agents into every step.

woke up to 3 backlinks from DR 90+ domains!🕺 Medium - from my articles YouTube - from my videos YCombinator - from viral post 40 new total backlinks. apparently just making good shit works🤷‍♂️

Elon Musk just launched Grokipedia. Wikipedia's biggest competitor runs entirely on AI. Here's everything you need to know: → AI trained on "critical thinking" and logical analysis → Evaluates axioms, assesses coherence, identifies contradictions → Cycled through 1 million most popular Wikipedia articles → Added, modified, and deleted content based on internet research → This is version 0.1 - Musk predicts it'll be "10 times better" by v1.0 What makes it different: • More comprehensive coverage (5-6x longer articles) • Fights propaganda through context, not just fact-checking • Identifies what's missing, not just what's wrong • AI-generated explanatory videos coming soon • One-tap access to Grok analysis on any claim The Wikipedia problem Musk identified: Propaganda doesn't work through lies but rather through selective truth. Facts can be technically accurate yet completely misrepresent reality when: → Critical context is omitted → Information is improperly weighted → Anonymous editors control what gets included Musk claims Grokipedia already outperforms Wikipedia on technical subjects like physics, with more accurate and realistic descriptions of people and events. The billion-dollar question: Do people actually want truth? Or just confirmation bias? Musk raised this himself: some people refuse to watch videos that contradict their beliefs, even when evidence is "staring them in the face." My takeaway: Every information system reflects its creators' biases whether it be volunteer editors or AI training data. The real test will be Grokipedia's ability to win the battle for clicks against Wikipedia's SEO dominance. I believe the best approach is treating it as another perspective to cross-reference rather than a definitive source of truth. At least with AI-generated content, the underlying logic should be more auditable and consistent than an anonymous Wikipedia editor.