𝙲𝚛𝚢𝚙𝚝𝚘 𝚆𝚊𝚛𝚛𝚒𝚘𝚛

@kurtetti $87k from Shorts with just a phone and AI. No team, no studio. This is the real 2026 meta

He made $87,850 from YouTube Shorts using only his phone. No laptop. No team. No studio. Watch until [0:06]. That's the number. Then he breaks down the system: Find what YouTube is already pushing. Use AI to draft the script. Record on your phone. Post. Repeat. One Short made $17,000. The phone was always enough. Most people just never treated it like a business.

A random woman made $19,000 from it last month. No camera. No team. No name on the channel. Watch until 0:05 That's where she shows exactly how. Find kids channels with 10M+ views. Study what works. Counting. Colors. Animals. Simple songs. Repetition. Then make original videos in the same format. AI writes the script in 30 seconds. AI generates every visual. AI voice sings or narrates the whole thing. A 3-year-old does not care who made the cartoon. They care if it is bright, simple, and repeatable. They will watch it 40 times. YouTube counts every single one. $66/month in tools. 3–5 uploads per week. 1 viral video can pull 4M views in 30 days. Month 1: $2,000. One format is working. Month 2: $9,000. The algorithm found it. The cartoon your kid has watched 12 times this week. Someone made that between breakfast and work. Their kid is at school. The money keeps coming in.

@kurtetti bookmarked that alpha

This AI Shorts channel allegedly made $23,000 from 100,000 views. No face. No camera. No studio. Just AI videos in a format people kept watching. The trick is not “AI video.” The trick is retention. AI writes. AI voices. AI animates. YouTube tests. If a format works, make 100 versions. $50–$100/month in tools. 3–5 uploads per week. No team. No name. No creator brand. Just format, volume, and watch time. That’s the business.

@GeeklikOtesine 🔥 NVIDIA RTX Spark just dropped: ARM + RTX 5070 GPU in one chip. 1440p 100FPS unplugged with crazy battery life? Laptops are cooked. 2026 gonna be insane

NVIDIA, ARM tabanlı yeni işlemcisi RTX Spark'ı duyurdu. - İşlemcide RTX 5070'e denk bir GPU bulunuyor. - Modern oyunlarda 1440P'de 100 FPS'te çalışıyor. - Laptop, Windows olmasına rağmen prizden çektiğinizde performans düşmüyor. - Batarya ömrü uzun. - Sadece laptoplar için değil masaüstü bilgisayarlarını da hedefliyor. - Sahnede 007 First Light ve Forza Horizon 6 ile gösterildi. - Yapay zeka işlem gücü de yüksek. - 2026 Sonbahar'ında çıkacak.

@kurtetti Thanks a lot for the post and the file. I’ll use it for my Shopify business :)

@Hesamation We automated job hunting so hard that one guy needed 700+ applications to get hired… then he built AI to automate all 700… then open-sourced the whole weapon so everyone else can do it too. Beautiful, terrifying, 2026-ass loop honestly 🔥

bro created an AI job search system for Claude Code that scored 700+ job applications and actually got him a job. AND IT'S NOW OPEN-SOURCE. It scans multiple company career pages, rewrites your CV per job, and even fills application forms. The repo has: > 14 skill modes (evaluate, scan, PDF, ...) > Go terminal dashboard > ATS-optimized PDF generation via Playwright > 45+ companies pre-configured (Anthropic, OpenAI, ElevenLabs, Stripe...) GitHub: github.com/santifer/caree…

@karpathy 🔥 Phase shift confirmed. Never going back.

A few random notes from claude coding quite a bit last few weeks. Coding workflow. Given the latest lift in LLM coding capability, like many others I rapidly went from about 80% manual+autocomplete coding and 20% agents in November to 80% agent coding and 20% edits+touchups in December. i.e. I really am mostly programming in English now, a bit sheepishly telling the LLM what code to write... in words. It hurts the ego a bit but the power to operate over software in large "code actions" is just too net useful, especially once you adapt to it, configure it, learn to use it, and wrap your head around what it can and cannot do. This is easily the biggest change to my basic coding workflow in ~2 decades of programming and it happened over the course of a few weeks. I'd expect something similar to be happening to well into double digit percent of engineers out there, while the awareness of it in the general population feels well into low single digit percent. IDEs/agent swarms/fallability. Both the "no need for IDE anymore" hype and the "agent swarm" hype is imo too much for right now. The models definitely still make mistakes and if you have any code you actually care about I would watch them like a hawk, in a nice large IDE on the side. The mistakes have changed a lot - they are not simple syntax errors anymore, they are subtle conceptual errors that a slightly sloppy, hasty junior dev might do. The most common category is that the models make wrong assumptions on your behalf and just run along with them without checking. They also don't manage their confusion, they don't seek clarifications, they don't surface inconsistencies, they don't present tradeoffs, they don't push back when they should, and they are still a little too sycophantic. Things get better in plan mode, but there is some need for a lightweight inline plan mode. They also really like to overcomplicate code and APIs, they bloat abstractions, they don't clean up dead code after themselves, etc. They will implement an inefficient, bloated, brittle construction over 1000 lines of code and it's up to you to be like "umm couldn't you just do this instead?" and they will be like "of course!" and immediately cut it down to 100 lines. They still sometimes change/remove comments and code they don't like or don't sufficiently understand as side effects, even if it is orthogonal to the task at hand. All of this happens despite a few simple attempts to fix it via instructions in CLAUDE . md. Despite all these issues, it is still a net huge improvement and it's very difficult to imagine going back to manual coding. TLDR everyone has their developing flow, my current is a small few CC sessions on the left in ghostty windows/tabs and an IDE on the right for viewing the code + manual edits. Tenacity. It's so interesting to watch an agent relentlessly work at something. They never get tired, they never get demoralized, they just keep going and trying things where a person would have given up long ago to fight another day. It's a "feel the AGI" moment to watch it struggle with something for a long time just to come out victorious 30 minutes later. You realize that stamina is a core bottleneck to work and that with LLMs in hand it has been dramatically increased. Speedups. It's not clear how to measure the "speedup" of LLM assistance. Certainly I feel net way faster at what I was going to do, but the main effect is that I do a lot more than I was going to do because 1) I can code up all kinds of things that just wouldn't have been worth coding before and 2) I can approach code that I couldn't work on before because of knowledge/skill issue. So certainly it's speedup, but it's possibly a lot more an expansion. Leverage. LLMs are exceptionally good at looping until they meet specific goals and this is where most of the "feel the AGI" magic is to be found. Don't tell it what to do, give it success criteria and watch it go. Get it to write tests first and then pass them. Put it in the loop with a browser MCP. Write the naive algorithm that is very likely correct first, then ask it to optimize it while preserving correctness. Change your approach from imperative to declarative to get the agents looping longer and gain leverage. Fun. I didn't anticipate that with agents programming feels *more* fun because a lot of the fill in the blanks drudgery is removed and what remains is the creative part. I also feel less blocked/stuck (which is not fun) and I experience a lot more courage because there's almost always a way to work hand in hand with it to make some positive progress. I have seen the opposite sentiment from other people too; LLM coding will split up engineers based on those who primarily liked coding and those who primarily liked building. Atrophy. I've already noticed that I am slowly starting to atrophy my ability to write code manually. Generation (writing code) and discrimination (reading code) are different capabilities in the brain. Largely due to all the little mostly syntactic details involved in programming, you can review code just fine even if you struggle to write it. Slopacolypse. I am bracing for 2026 as the year of the slopacolypse across all of github, substack, arxiv, X/instagram, and generally all digital media. We're also going to see a lot more AI hype productivity theater (is that even possible?), on the side of actual, real improvements. Questions. A few of the questions on my mind: - What happens to the "10X engineer" - the ratio of productivity between the mean and the max engineer? It's quite possible that this grows *a lot*. - Armed with LLMs, do generalists increasingly outperform specialists? LLMs are a lot better at fill in the blanks (the micro) than grand strategy (the macro). - What does LLM coding feel like in the future? Is it like playing StarCraft? Playing Factorio? Playing music? - How much of society is bottlenecked by digital knowledge work? TLDR Where does this leave us? LLM agent capabilities (Claude & Codex especially) have crossed some kind of threshold of coherence around December 2025 and caused a phase shift in software engineering and closely related. The intelligence part suddenly feels quite a bit ahead of all the rest of it - integrations (tools, knowledge), the necessity for new organizational workflows, processes, diffusion more generally. 2026 is going to be a high energy year as the industry metabolizes the new capability.

🚨HUGE: AI CLIENT ACCIDENTALLY BURNS THROUGH $500 MILLION ON CLAUDE IN ONE MONTH An AI consultant tells Axios, a client accidentally generated a staggering $500M Claude bill after failing to set employee usage limits in one of the largest runaway AI spending incidents reported so far.

AI consultant reveals a client accidentally spent $500,000,000.00 in a single month after failing to set employee limits on Claude usage

@Mrbankstips Old me. AI = smarter Google. Now = 24/7 employee printing money while I sleep. Threat destroyed.

Who’s currently the biggest threat to your success rn?

@kurtetti cool strategy, appreciate you sharing that 😍

She literally asked ChatGPT: “What’s the laziest way to make a lot of money?”ChatGPT replied. She listened. Now she makes $7,000/month with faceless AI videos on YouTube. No filming. No editing. No face. No daily work.J ust one prompt → generate → upload → repeat.T his is the laziest $8k/month online in 2026. The full system she’s using is in the post I’m quoting 👇

🇺🇸 Nvidia could pay homeowners up to $1,000 a month to host a mini AI data center in their backyard. From the street, it looks like a normal AC unit. Inside: 16 Blackwell GPUs running at full capacity. The AI boom is moving into the suburbs.

Nvidia will now pay you to put a mini AI data center on your house making you close to $22,000 a year

@kurtetti @DailyLoud 😂

@DailyLoud Neo, bro… they upgraded the battery farm 💀

@kurtetti bookmarked that alpha

This 15-year-old is about to become a millionaire. Not by coding. Not by filming TikToks. Not by having rich parents. He just opens random small business websites, takes screenshots, asks Claude to find where they’re losing money… records a 7-minute Loom and sells the audit. No agency. No experience. No face on camera. Just one simple AI-powered service that businesses already pay for. The post I’m quoting is the exact playbook thousands of kids under 17 are quietly using right now to print money. The future belongs to those who understand AI early.

This is how you stop “using” AI… and start owning a 24/7 business department.Bookmark this combo. It’s the cheat code. 🔥

@kurtetti thanks)

@BogdanT_R bookmarked that alpha

The real money is where AI stops being a toy… and becomes a business. Not another chatbot. Not another list of 100 prompts. But real outcomes people already pay for. Here are the 10 brutal rules to make your first $10k with AI — no tech degree, no co-founder, no huge audience needed. This isn’t theory. I t’s a repeatable system.

@claudeai 🔥 Claude Opus 4.8 is straight FIRE! 📷Sharper, more honest, and actually works solo longer? Anthropic just cooked again — same price, instant upgrade! 📷 This is the autonomy era.

Introducing Claude Opus 4.8: it builds on Opus 4.7 with sharper judgment, more honesty about its own progress, and the ability to work independently for longer than its predecessors. Available today at the same price.

🔥 Claude Opus 4.8 is HERE! 📷Sharper judgment, real honesty about its limits, and now works independently for way longer? Anthropic just dropped the next evolution — same price, instant upgrade. AI autonomy is leveling up FAST! 📷 Game changer.