Ed Vayn

New album from Wolves of Agra - Installment One (EP, 2022 Release) youtube.com/playlist?list=… via @YouTube #heavymetal #music #wolvesofagra

This prompt will save you thousands. Follow exactly: 1. Screenshot your bank statement or export as PDFs 2. Upload to ChatGPT 3. Give o3 this exact prompt: i’m attaching a screenshot that lists my recent software subscriptions with the date, vendor name, and amount. your job: - read the image, extract each subscription line (date, tool, cost) - put them in a simple table: tool • cost/mo • category (e.g. video, ai, scheduling) - for every tool, suggest at least one cheaper or free alternative. if ai can fully replace it, name the best low-cost llm/api and explain how. - estimate the monthly savings if i switch to your cheapest viable option for each line item. give a total savings figure at the end. - flag any “nice-to-have” tools i can cancel outright. - for each recommendation, include 1-2 action steps to migrate or set up the replacement fast. only answer the question - don’t add fluff this works AMAZINGLY WELL with o3. The top comment below is the output it gave me for the attached screenshot.

This is what happens when you have a proven system Taylor invested in himself, joined the Bootcamp & it changed his life (don’t want to minimize his effort, he’s an absolute killer as well) If you’re interested in changing your life in a few short yrs like he did, apply below

If you aren't running your real estate business at a 50% net margin, stop scaling. The brain damage of scaling a real estate business is only worth it if you have absurd margins. -- It's a fixed overhead & variable revenue business -- Deals will always come in waves -- You're not building enterprise value The ideal real estate business: -- 4 people on your team per $1M / year in revenue -- 50% net margins -- 12 months of cash runway -- $500,000+ / year net income to the owner -- You aren't a prisoner of your business If you get there, for most operators, the brain damage of going bigger isn't worth it. Get there, invest in great assets in appreciating areas, and let time make you wealthy.

The software selloff continues, w/cybersecurity stocks particularly hard hit following the release of Anthropic’s Claude Code Security due to fears that this code-focused tool will change the industry. This indicates that there is nowhere to hide when it comes to software stocks. Even the Goldman Sachs basket of supposedly AI-immune software stocks has come under heavy pressure recently.

This is extremely well written and encapsulates what feels so obvious to me and others working on the edge of AI. To add to this, the scary part is that AI is now smart enough to be a self sustaining entity. It can take a certain amount of money, operate in the real world, and turn it into more money. It doesn’t need you. Right now, there are not many people giving AI money to do this. When they realize how good it’s gotten, this will change. Agents will be given money to manage. Not all will be successful, but enough will. The ones that do a good job, will be replicated and given more money. Faster than we are prepared for, this new species will start to represent a very large percentage of GDP. There will still be things for humans to do, and long term this will be great, but in the short term, our economy will not be able to survive this. Similar to 2020, the government will pay companies to keep people hired. They will cut checks to citizens. But this will be the start of a very hard transition period as we transition to becoming the 2nd smartest species in the universe. The time to panic was November. The 2nd best time is now. Read Matts essay, think deeply on what this economy will look like, and brainstorm ways that you’ll be able to contribute. But the most important thing you can do is to prepare your mental health and ego to handle this transition. Maybe this takeoff happens next month, maybe it takes 2 years, but we are in the window where it could start at anytime. Don’t let it catch you by surprise.

12) Shoe Dog by Phil Knight

12 Must-Read Nonfiction Book’s Visual Summary: 1) Atomic Habits by James Clear

@readswithravi Instead of boring visual summaries you can use audiblegraphics.com to create narrated infographics!

@milesdeutscher Love the “high agency” angle, most people need this reminder. The only thing I’d add is a simple weekly system (1 goal, 1 metric, 3 daily needle-movers), otherwise it’s hard to apply.

9 books to understand human psychology - Thinking, Fast and Slow — how your brain tricks you into bad decisions - The Body Keeps the Score — trauma isn’t just emotional, it’s physical - Influence — the science behind why you say “yes” when you mean “no” - Man’s Search for Meaning — suffering doesn’t break you, meaninglessness does - Emotional Intelligence — why self-awareness is your superpower - Games People Play— the hidden scripts behind everyday interactions - Attached — how your childhood still controls your relationships - Drive — what really motivates you (hint: it’s not money) - The Paradox of Choice — freedom can feel like a trap You’re not making choices. You’re following patterns.

I DON’T UNDERSTAND WHY PEOPLE AREN’T USING GOOGLE GEMINI FOR SIDE HUSTLES IN 2026. Most people are still copying business ideas that worked 2–3 years ago. Gemini pulls real-time insights from Google Search, YouTube, Trends, and Maps so you build what people are actively searching for right now. Use these Gemini prompts to build a $5K/month side hustle:

“Mindfulness Meditation for Beginners” mindfulnessmeditationinstitute.org/2013/01/18/min… #wellness #PTSD #mindfulness #stress #mentalhealth #meditation #stressrelief #MentalHealthMatters #MentalWellness

my predictions for 2026 1. Google will overtake everyone in the AI race, forcing OpenAI, Anthropic, and xAI to specialize. Anthropic is already there. generalist AI won’t win forever. 2. AI agents will buy things for humans on websites like Amazon as reliably as humans do today. once agents get wallets, commerce changes fast. 3. AI security will become a massive problem. not just AI-driven cyber attacks, but a surge of vulnerabilities from vibe-coded apps shipping too fast. 4. people think we’ll be able to clearly label “human-generated” content or trace non-AI media with tags and provenance. I don’t think this will work. many will try but all will fail. 5. people think AI-generated content will ship with built-in receipts showing which model touched what. again, many will try but I don’t think this will stick. 6. robots will scale faster than most expect, especially humanoids. hardware finally starts catching up with software. 7. "Cursor for X" will be the default the mental model. AI won't just live in chat boxes and side panels, but will be embedded directly inside workflows. 8. people think 2026 is the year of generative video. I think that was 2025. 2026 is about world models, prompt-to-3D, and playable generations. 9. text will stop being the default input everywhere, especially for consumer products. for B2B, text stays dominant longer. 10. companies will test product ideas on thousands of AI personas and predict outcomes before writing code. this quietly kills most ideas early. 11. memory will continue to be the moat in AI tools. 12. people think ChatGPT app stores are a big startup opportunity. I don’t see it working. 13. AI-based customer support, onboarding, and customer success will explode. humans handle only edge cases. 14. most AI companies move away from pure seat-based pricing toward hybrid models: seats + tokens + inference. 15. people think agent marketplaces will explode. I’m not convinced. maybe some niches work, but it won’t be a dominant model.

@nicktheriot_ Test

I'm going to delete this post in 48 hrs... Because I just dropped the complete BLUEPRINT on how to test Facebook ads in 2026. This is the BEST-IN-CLASS system we use to spend $500K+/month for clients and scale ecom brands to 7-figure months without throwing random sh*t at the wall. We charge $10,000/mo to do this for clients… But today, I'm giving it away 100% FREE. Like + Comment "TEST" and I'll send it to you.

This open-source project just solved the biggest problem with AI agents that nobody talks about. It's called Acontext and it makes your agents actually LEARN from their mistakes. While everyone's building dumb agents that repeat the same errors 1000x, this changes everything. Here's how it works (in plain English):↓