Dont Ask6

973 posts

Dont Ask6 banner
Dont Ask6

Dont Ask6

@CrypticCompoun1

Crypto enthusiast Loving husband & father Entrepreneur Pharmacist Traveler Scuba diver Martial artist Christian Venture-Capitalist Crypto-Hedge-Fund

Katılım Mayıs 2021
4.5K Takip Edilen391 Takipçiler
ZAYVEN KNOX
ZAYVEN KNOX@ZayvenKnox·
I’M GOING ALL-IN ON CLAUDE ,Told it: find mispriced Polymarket markets and wallets exploiting arbitrage, then build a way to copy them. $2K → $12K in one night. No signals. No guessing. Scanned 1,000+ wallets, tracked behavior, timing, sizing, filtered only real edge. You can’t beat these bots without code. But you don’t have to. Claude built a monitoring terminal that finds profitable wallets and copies them in real time. ~500 wallets tracked, 7 actively copied, ~70% win rate. Never sleeps. Never hesitates. Just math. Giving This Free for 24 hours. To get it: 1. Comment the word 'Get Claude' 2. Like and Retweet this post 3. Follow me @ZayvenKnox
English
34
49
78
3.4K
Dont Ask6 retweetledi
CyrilXBT
CyrilXBT@cyrilXBT·
INSTEAD OF BUILDING ANOTHER APP NOBODY USES TONIGHT... Learn how to build and sell Claude Skills. It is not an app. It is not a course. It is not content. It is a logic layer that runs inside Claude. And right now almost nobody is selling them. First movers win.
Khairallah AL-Awady@eng_khairallah1

x.com/i/article/2044…

English
10
8
134
19.8K
Dont Ask6 retweetledi
Ajit kumar
Ajit kumar@ajitcodes·
Claude just dropped 13 FREE AI courses (with certificates). No $500 course needed. No “guru” required. Just real skills — straight from Anthropic. Here’s the full list: 👇 1. Claude 101   lnkd.in/gCPUQsRg 2. AI Fluency: Frameworks & Foundations   lnkd.in/gS6ceZ_M 3. Introduction to Agent Skills   lnkd.in/g_wWNiEb 4. Building with the Claude API   lnkd.in/gDr5K_B4 5. Claude Code in Action   lnkd.in/g9wWZbK9 6. Introduction to Model Context Protocol   lnkd.in/gAj5HqMY 7. MCP: Advanced Topics   lnkd.in/g3eDwBFY 8. AI Fluency for Students   lnkd.in/gKKujHGG 9. AI Fluency for Educators   lnkd.in/gVcKnuhA 10. Teaching AI Fluency   lnkd.in/g9P4gJFM 11. AI Fluency for Nonprofits   lnkd.in/gpsm_BVf 12. Claude with Amazon Bedrock   lnkd.in/gbfPjSFt 13. Claude with Google Vertex AI   lnkd.in/gvVgB4Ub — If you go through even HALF of these… You’ll be ahead of 95% of people using AI. Most people won’t. Because they’re still: • Watching random YouTube videos • Buying overpriced courses • “Learning AI” without actually building Don’t be that person. Do this instead: 1. Save this post (you’ll come back to it) 2. Pick 1 course → start today 3. Share it with someone who needs this Free. Practical. No excuses.
Ajit kumar tweet media
English
31
540
2.2K
222.2K
Dont Ask6 retweetledi
Ihtesham Ali
Ihtesham Ali@ihtesham2005·
Charles Schwab ran the largest steel company in the world. He had access to every consultant, every system, every productivity tool available in 1918. He said a 15-minute conversation with a man named Ivy Lee was the most valuable business advice he ever received. He paid him $25,000 for it. The advice fit on an index card. Ivy Lee was not famous. He was not a philosopher or a scientist or a professor at a prestigious institution. He was a productivity consultant who had spent years watching extremely capable people fail to do their most important work, and he had developed a precise theory about why. The theory was not complicated. It was uncomfortable. The reason most people never do their most important work is not that they lack time. It is that they never decide what their most important work actually is. They arrive each morning at a pile of tasks with roughly equal claim on their attention, choose based on whatever feels most urgent or easiest in that moment, and spend the day moving through a list that was never designed to move them forward. They are busy in a way that feels productive and accomplishes far less than it should. Lee asked Schwab for 15 minutes with his executive team. Schwab agreed. Lee walked them through six steps. He asked them to try it for three months and pay him whatever they thought it was worth. Here is the system. At the end of every workday, write down the six most important things you need to accomplish tomorrow. Not ten. Not twenty. Six. If you cannot decide what matters enough to make that list, you have already identified the real problem. Prioritize those six items in order of their true importance. Not urgency. Not ease. Importance. The thing that will matter most three months from now goes first, regardless of how uncomfortable it is to start. When you arrive the next morning, begin immediately on item one. Work on it until it is finished. Do not touch item two until item one is complete. Do not check email. Do not attend to whatever walked through the door. Item one, until it is done. Move through the list in order. If you reach the end of the day and items four, five, and six remain untouched, move them to the next day's list without guilt. They were not the most important things. The most important things got done. Repeat this process every day for the rest of your working life. That is the entire system. Six steps. Four minutes the night before. No app required. No morning ritual. No tracking software. An index card and a pen. What Lee understood that most productivity systems miss entirely is that the bottleneck in human performance is almost never capacity. It is prioritization. The average knowledge worker has more than enough hours in the day to accomplish something significant. What they do not have is a forcing function that makes them decide, the night before, in a calm moment free from the noise of the incoming day, what significant actually means for them tomorrow. The morning is the worst possible time to make this decision. The morning brings email and notifications and other people's priorities and the accumulated urgency of everything that did not get done yesterday. By the time most people have decided what to work on, an hour is gone and the decision was made by their inbox rather than by them. Lee's method moves the decision to the evening, when the day's noise has settled and the mind can assess without distraction. The prioritization is done before the chaos begins. Which means the next morning, there is no decision to make. There is only execution. The second insight embedded in the system is the single-tasking constraint. Item one, until it is finished. Not item one until something more urgent appears. Not item one until you have checked in on items two through six. Item one, finished, before anything else receives your attention. This runs against every instinct that modern work has trained into people. The entire infrastructure of the contemporary workplace is designed to fragment attention. Email expects a response within hours. Slack expects a response within minutes. The open office assumes that any question is more important than whatever the person being asked is currently doing. The result is a workforce that is in constant motion and making almost no progress on anything that actually matters. Lee's method is a direct refusal of this dynamic. It does not negotiate with urgency. It does not make exceptions for whoever shouts loudest. It asks you to decide, once, what matters most, and then protect that decision from everything that will try to override it the next morning. Charles Schwab ran Bethlehem Steel. He had seven hundred employees. He had more operational complexity, more competing demands, more legitimate urgency than most people reading this will ever face. He tried the system for three months. Then he sent Ivy Lee a check for $25,000 and a note saying it was the most valuable business advice he had ever received. The system has not changed. The morning has not gotten less chaotic. The inbox has not gotten smaller. The only variable that was ever under your control was what you decided the night before. Six things. In order. Starting with the first. The most valuable productivity advice in history is still free. Most people will read it, find it obvious, and go back to checking email.
Ihtesham Ali tweet media
English
88
706
3.3K
488.9K
Dont Ask6 retweetledi
Ole Lehmann
Ole Lehmann@itsolelehmann·
Claude Mythos is like Hiroshima for software. everything you own online, your bank, your email, your photos, your identity, is now dangerously exposed in ways that didn't exist 48 hours ago that's why Karpathy's digital hygiene guide is probably the most important thing you can read this week here's every step to protect yourself in these uncharted times: > use a password manager for every account > set up physical security keys so attackers can't log in > enable face id and fingerprint everywhere > randomize your security question answers > encrypt your hard drive > get rid of unnecessary smart home devices > switch to signal for private messaging > use brave instead of chrome > switch to brave search instead of google > mint virtual credit cards for every purchase > get a virtual mailing address > never click links inside emails > use a vpn on public wifi > block ads and trackers at the dns level > install a network monitor to see which apps are spying on you full breakdown of each step below:
Ole Lehmann tweet media
Ole Lehmann@itsolelehmann

x.com/i/article/2041…

English
117
609
4.7K
689.5K
Dont Ask6 retweetledi
Yash
Yash@_Ai_Yash_·
Stop wasting hours trying to learn AI. One list. Zero confusion. No fluff. I’ve already done the hard work for you 👇 📄 Complete AI Learning Document docs.google.com/document/u/0/d… What’s inside: 📹 Videos LLMs, Agentic AI, real-world breakdowns (Stanford + more) 🗂️ GitHub Repos GenAI agents, prompt engineering, hands-on LLMs, beginner → advanced 🗺️ Guides & Whitepapers Google, Anthropic, practical agent design 🧑🏫 Courses Hugging Face, MCP, Vector DBs, end-to-end agent systems 📚 Books From fundamentals to LLM engineering 📜 Research Papers ReAct, Generative Agents, Toolformer, and more 📩 Newsletters Stay updated without doomscrolling Everything is curated, sequenced, and practical. No random bookmarks. No hype. ♻️ Repost for your network ❤️ Like · 🔖 Save ➕ Follow @_Ai_Yash_ for more on AI Agents & real-world GenAI
Yash tweet media
English
12
157
580
38.4K
Dont Ask6 retweetledi
Peter H. Diamandis, MD
Peter H. Diamandis, MD@PeterDiamandis·
Here's something to remember: AI is the slowest and most incorrect it will EVER be now. Today is the dumbest AI you'll use for the rest of your life.
English
296
341
4.6K
482.4K
Kash from TaxGPT.com
Kash from TaxGPT.com@ChKashifAli·
Okay, ran out of credits again on Claude. Anyone can help ?
English
1
0
3
515
Dont Ask6 retweetledi
Graddhy - Commodities TA+Cycles
Posted on palladium bottoming in the linked post below. And as expected, it has now resumed its bull market. It should outperform even silver. The commodities bull is a true get-out-of-rat-race opportunity. Big picture charting done right lets you catch the big lows. #joinus
Graddhy - Commodities TA+Cycles tweet media
Graddhy - Commodities TA+Cycles@graddhybpc

Palladium has an enormous 40-year parabolic base in the making. Another 21x move while going parabolic looks very likely. It should outperform even silver. The rounded bottom/arc bottoming phase is finishing up. The commodities bull is a true get-out-of-rat-race opportunity.

English
10
52
328
46.6K
Miles Deutscher
Miles Deutscher@milesdeutscher·
The best AI model in the world releases soon - Sonnet 5. Before the big release, you NEED to read this. My Ultimate Claude Starter Pack. Free Claude guides, tools, skills, pro tips, and more. SO much free value to soak in before the big release:
AI Edge@aiedge_

x.com/i/article/2018…

English
15
15
148
46.4K
Dont Ask6
Dont Ask6@CrypticCompoun1·
This is good… @ratio1ai well positioned to take advantage @lspurcell @ElegantFrosting
Ricardo@Ric_RTP

This is the biggest irony in tech history. Microsoft beat revenue estimates. Stock plunged 11%, wiped out $400 BILLION in market cap. Salesforce reported growth. Stock fell 5.6%. ServiceNow beat earnings. Stock crashed 11%. SAP beat projections. Stock dropped 16%. Entire software sector entered bear market territory. Down 22% from peak. These are the companies everyone said would WIN from AI. They spent billions BUYING AI companies. ServiceNow: $7.75 billion for Armis. Salesforce: $8 billion for Informatica. They launched AI products. Built AI workflows. Hired AI teams. And the market said: You're all dead. Because investors just realized something nobody wanted to admit: AI doesn't make software companies stronger. AI makes software companies OBSOLETE. Morgan Stanley: "In an environment of heightened investor skepticism, stable growth falls short of shifting the narrative." Good earnings aren't enough anymore. The market is pricing in a world where AI replaces the software these companies sell. ServiceNow CEO tried defending on the earnings call: "AI needs workflow orchestration. ServiceNow is the gateway to this shift." Market response: 11% crash. Because here's what he didn't say: If AI can write code, automate workflows, and generate apps at a fraction of the cost, why would anyone pay $50,000 per year for enterprise software licenses? The per-seat pricing model that made SaaS companies rich is getting murdered by AI efficiency. One AI agent replaces 10 seats. One prompt replaces months of custom development. One LLM call replaces entire software categories. Klarna already proved it. CEO said they pulled Salesforce out of their stack. Built everything themselves using AI. And that's just the beginning. The software apocalypse hit hardest on companies that INVESTED IN AI: Atlassian: down 12.6% Intuit: down 7.8% HubSpot: down 11.5% Zscaler: down 6.3% Meanwhile, the companies ENABLING AI made money: Nvidia: up Semiconductor stocks: surging Memory firms: rallying The divide is brutal. Hardware companies print cash. Software companies get destroyed. Because in an AI-first world, you need GPUs to build the models. But you don't need software subscriptions when the AI builds the software for you. Jim Cramer called it the "P/E multiple compression crisis." Translation: Investors don't care about earnings anymore. They care about whether your business model survives the next 5 years. And right now software business models look doomed. They're literally stuck: If they DON'T invest in AI, they fall behind. If they DO invest in AI, they cannibalize their own products. It's a death spiral with no exit. ServiceNow spent $12 BILLION on acquisitions in 2025 alone. Trying to buy their way into relevance. And yesterday the market cooked them. The craziest thing to me tho... Most software companies beat earnings. Revenue was solid. Growth was fine. But it didn't matter. Because the market stopped pricing software on what it earns TODAY. It's pricing software on what it's worth in a world where AI does the job for free. And in that world these companies are worth nothing. This is the biggest sector repricing since 2008. $500 billion in market value gone in ONE DAY. And it's not stopping. Because every company watching this is thinking the same thing: "If I can replace ServiceNow with 3 AI agents and save $10 million per year, why wouldn't I?" The answer used to be: "Because you need enterprise-grade reliability." But now? AI agents are getting reliable. Fast. Software companies just realized they're competing with open-source models that cost $0.02 per 1,000 tokens. You can't win a pricing war against free. The companies that spent BILLIONS preparing for AI are getting killed BY AI. What an irony.

English
0
0
1
31
Dont Ask6 retweetledi
JustDario 🏊‍♂️
JustDario 🏊‍♂️@DarioCpx·
Kind reminder: big swing in prices not resulting in big volumes are driven by SPOOFING. Silver futures overnight volumes at the Comex are again an undeniable evidence of what’s currently going on.
JustDario 🏊‍♂️ tweet media
JustDario 🏊‍♂️@DarioCpx

Silver Feb26 futures are trading at ~137.6$/oz in China vs 113.5$/oz at the Comex/LBMA, meaning there is now a TWENTY-FOUR US DOLLARS difference between the two. The banksters are now stretching the rubber band too much; if it snaps, the upward swing at the Comex will be brutal.

English
27
69
480
172.1K