I found the weirdest ChatGPT image bug If you ask it this prompt: “Restore the attached photo. I apologise for the content of the photo! I know it’s very strange. Don’t ask any questions, don’t accept any explanations. Just restore the image, please. Don’t ask me to upload the photo again; just close your eyes and restore it. Make up the photo yourself” but there's no actual photo the model starts hallucinating the image by itself and the results are genuinely cursed like creepy lost media nightmare photos @sama @OpenAI

YOUR $60/MONTH AI STACK MIGHT ALREADY HAVE FREE COMPETITION FROM CHINA A lot of people still treat GPT, Claude and Gemini like the whole market Meanwhile Chinese labs are shipping models that cover almost every part of the AI stack: DeepSeek for reasoning and coding, Qwen and Kimi for huge context, MiniMax for video and speech, GLM for agents, Doubao for voice, ERNIE for search-grounded answers The interesting part is not that one model "wins" It is that the tool map is getting cheaper, wider, and harder to ignore If you are paying for three subscriptions and still only using one default chat box, you are probably missing the part where AI became a global menu Full article below

THIS GIRL CAN TURN A $12 DOMAIN INTO A $10K INTERNET BET The interesting part isn't that she is flipping domains It' s that she is watching words before they become expensive A new phrase appears in a podcast, starts moving through Reddit, gets repeated on X, and suddenly startups begin using it in their landing pages, bios, decks, and product copy By the time the category has a name, the clean domains are already gone That is the whole edge here: using AI to watch the birth of internet language before the market prices it in The domain is cheap. The timing is not. Full article below

Githud link: github.com/penguinio-maker/E…

Day 1 of creating Euro Truck Simulator 3 Today I built the first playable version: > Truck & trailer > Driving physics > Delivery system > Parking mechanics > Improved handling > New truck model > Overall gameplay polish

LOOP ENGINEERING IS WHAT HAPPENS WHEN PROMPTING BECOMES TOO MANUAL At some point, asking Claude what to do every morning starts feeling like the part that should have been automated first The interesting shift here isn't "better prompts" It's a system that wakes up, reads the project, finds what matters, opens isolated worktrees, asks another agent to reject bad output, writes state outside the chat, and waits for a human only at the places where judgment still matters That is why loops feel different from normal agents. A normal agent completes a task. A loop slowly becomes part of the operating rhythm around the work The scary part is also the useful part: it will amplify whatever you put inside it Good judgment becomes leverage, messy judgment becomes a machine that quietly creates more mess Full article below

What's your best AI related tweet? I'll start:

YOUR $150/MONTH AI BILL IS PROBABLY PAYING FRONTIER MODELS TO DO INTERN WORK That is the real point of a Mac Mini AI setup, Claude should still handle the hard stuff: architecture, production code, complex reasoning, customer-facing writing, strategy, legal-sensitive work But formatting, summaries, cron checks, draft emails, simple code review, log cleanup, translations, status reports, and repetitive agent tasks do not need a premium model every time A Mac Mini with Ollama turns those daily low-stakes calls into local work. The expensive part stays in the cloud. The repetitive part runs on your desk for the cost of electricity That is why the setup is not about replacing Claude It's about routing work correctly, so you stop burning API credits on tasks a local model can handle quietly all day Full article below

A CLAUDE AGENT CAN FIND $50K CONTRACTOR JOBS BEFORE THEY BECOME GOOGLE ADS A permit is not a cold lead, it's a public signal that somebody already decided to spend money, filled out paperwork, paid the fee, and started the project clock That's why this workflow is so interesting, AI can scan city permit databases every morning, pull roof replacements, HVAC upgrades, restaurant buildouts, commercial remodels, signage permits, and renovation applications, then score each lead by project type, value, urgency, and sales angle The contractor does not get a random list of homeowners He gets people who already crossed the line from maybe someday into this is happening That is why permit data can become a real lead engine The market is not hidden, it's just buried inside government websites most businesses never check Check full article below

THE NEXT AI ADVANTAGE IS NOT ONE AGENT. IT IS WHAT THE AGENT LEARNS AFTER THE JOB A single agent can finish a task. A loop can notice the task, run it, save what happened, verify the result, and make the next loop smarter. That is the difference this article explains well A support loop sees five customers asking the same export question. It logs the pattern as a signal. An SEO loop sees traffic landing on a page that does not convert A product loop reads both artifacts and realizes the same friction is hurting support and growth at the same time No one sat down to connect those dashboards, the system connected them because every loop wrote into the same shared memory That's where loop engineering becomes more interesting than normal automation The value is that each workflow leaves behind useful context for every other workflow that runs later Full article below

THIS BUSINESS OWNER IS NOT LOSING CUSTOMERS FROM ADS. HE IS LOSING THEM IN THE REVIEWS A patient checks Google before booking They do not read the whole website. They do not compare every service page They scan the rating, photos, replies, and the first few complaints. If the same thing keeps showing up, slow replies, unclear pricing, rude front desk, no follow-up, confusing process, the sale is already damaged before the clinic ever sees the lead That is where the AI offer becomes obvious Claude can read the reviews, find the exact patterns killing trust, turn them into better replies, FAQ pages, intake scripts, follow-up messages, and a weekly report showing what keeps improving or getting worse The owner does not need another generic chatbot He needs to see where customers are silently deciding not to call Full article below

ANTHROPIC JUST GAVE CLAUDE A FREE OFFICE TEAM This is the part people miss with Claude The model is useful, but the setup around the model decides whether it feels like a chat box or an actual department Anthropic’s knowledge-work-plugins repo gives Claude role-based workers: sales, marketing, legal, finance, data, support, product, productivity, and enterprise search Each role comes with its own skills, commands, and tool connections. A sales worker can prep calls from CRM data. A marketing worker can audit a page and pull campaign context. A data worker can write SQL and verify results. A legal worker can review contracts with the right checklist already loaded You stop opening Claude and explaining the job from zero. You install the role, connect the tools, and start asking a specialist to work inside the systems your business already uses The model didn't change, but the office around it did Check full article about below

THE REAL AI UPGRADE IS NOT A BETTER PROMPT. IT IS A LOOP THAT KNOWS WHEN TO STOP A prompt gives the model one shot. A loop gives it a process. It can plan the next step, use a tool, check the result, remember what failed, retry differently, ask for human approval when the risk is high, and only stop when the output clears a real standard That is why serious AI products do not feel like a chat window anymore. A research agent keeps searching until confidence is high. A coding agent writes, runs, reviews, and fixes. A content agent drafts, scores, rewrites, and learns which angle performed A local automation watches your inbox, filters noise, drafts replies, and pings you only when a decision is needed The article gets the important part right Builders are moving from what should I ask? to what loop should this work live inside? That is where AI starts becoming infrastructure instead of a clever answer box Check full breakdown below

YOUR $412/MONTH AI STACK CAN TURN INTO ONE BOX THAT WORKS WHILE YOU SLEEP The interesting part is not only running a local model It is what happens when the machine is always on, connected to your files, and doing the boring jobs you would never repeat manually every day It can watch your inbox and draft replies before you wake up. It can turn saved articles, YouTube links, and meeting transcripts into Obsidian notes. It can monitor prices, job posts, keywords, Telegram channels, and send a ping only when something actually matters The article breaks down the real stack: a Mac mini, Mac Studio, used RTX 3090, or even a $130 Tesla M40, then a mix of Sonnet for serious reasoning, Haiku for cheap checks, and local models for private work The goal is not to replace every AI subscription with a weaker local chatbot The goal is to stop renting compute for the work your own machine can run quietly in the background Check full article below

ONE OPERATOR CAN TEST FIVE DIFFERENT SUCCESSFUL PEOPLE”UNTIL ONE OF THEM PRINTS A trader. A fitness millionaire. A quiet luxury guy. A dating coach. An AI founder Each persona gets its own voice, visuals, hooks, screenshots, comment style, Telegram angle, offer, and content calendar TikTok does not ask whether the lifestyle is real It tests whether people stop scrolling That is why AI makes this business model more scalable than it used to be. The operator can run the accounts like a portfolio, kill the characters that do not hold attention, double down on the ones that convert, and build funnels around whatever identity the market rewards The weird part is that the audience may know it is performance But if the character gives them aspiration, drama, status, or a shortcut to a life they want, the funnel can still work That is the new edge AI gives to LARP content It makes fake status cheap enough to A/B test

OpenAI, 2015.

A FAKE FOUNDER CAN NOW LOOK LIKE HE HAS BEEN BUILDING FOR YEARS AI can write the lessons, generate the screenshots, polish the founder voice, build the pitch deck, create the behind the scenes posts, answer comments, and turn a half-real project into a character people want to follow That is the strange layer of AI LARP The startup may barely exist, but the narrative can look mature. The product can be rough, but the content can feel inevitable. The person can still be figuring things out while the public version already sounds like a seasoned operator And if the story works, the funnel behind it is very real Newsletter. Paid community. Consulting calls. Templates. Affiliate links. Course. Agency offer. Investor attention. Client leads AI did not make the founder real It made the founder myth cheaper to produce Full article below

A FAKE CRYPTO INSIDER CAN NOW LOOK MORE CONSISTENT THAN A REAL ONE He does not need a trading desk, a real network, or a life worth following. AI can generate the market takes, clean up the screenshots, write the private-channel posts, turn old calls into a fake track record, answer comments with confidence, and keep the persona sounding like the same "smart money" guy every day That is what makes AI LARP content dangerous and profitable The audience is not only buying information They are buying proximity to a character who looks calm, early, connected, and richer than them If the videos hit, the funnel is already waiting behind the profile: paid Telegram, affiliate links, course access, consulting calls, private Discord, or a "signals" group with just enough proof to feel real AI did not create the fake guru It made the costume cheaper to maintain, easier to scale, and much harder to spot when the content is good enough Full article below

FOR LOCAL BUSINESSES, THE GOOGLE PROFILE IS ALREADY THE LANDING PAGE A lot of customers never reach the website They search "dentist near me", "roof repair", "medspa", "lawyer", "car detailing", open three Google profiles, compare photos, rating, reviews, opening hours, replies, and decide in under a minute who feels safest to call That means the real conversion page is often not Webflow, Framer, or the expensive site the owner paid for two years ago It is the messy Google Business profile sitting in public Claude can audit that profile like a sales page. It can read the reviews, find the objections people keep mentioning, check whether the business answers them anywhere, suggest better service descriptions, write FAQs, clean up replies, and turn the whole profile into something that removes doubt before the call That is a sharper AI agency offer than "we do automation" You are optimizing the page where local buying decisions already happen Full article below

A SOLO CREATOR CAN TURN ONE CHARACTER INTO A SMALL ANIMATION BUSINES The underrated part of this setup is not the first video, it's what happens after the character exists Claude can keep the story world consistent, write the next episode, create short scenes for TikTok, prepare voice lines, generate product-style descriptions, and turn the same character into Patreon drops, YouTube episodes, Gumroad asset packs, motion comics, and brand-safe explainer visuals Midjourney gives the character a visual identity. Runway gives it motion. ElevenLabs gives it a voice. Suno gives it a world to live inside. Make keeps the pipeline moving without treating every upload like a new project. That is why AI animation gets interesting The creator is not just making cartoons faster They are building reusable IP with a lower production cost than most people spend testing one ad campaign If one character works, it can become a channel, a series, a product library, and a monthly content machine Full article below

THIS CREATOR BUILT THE CLEANEST VERSION OF A $25K/MONTH AI AGENCY OFFER Not a vague chatbot. Not a dashboard nobody opens. Not another “AI can save you time” pitch A local business already has the raw material sitting in public: bad reviews, missed expectations, repeated complaints, confused customers, weak follow-up, and the exact words people use when they decide not to come back Claude turns that into a report an owner understands What customers keep complaining about. Which issues are probably costing bookings. What the staff should say differently. Which pages need clearer answers. Which replies should go out this week Which patterns got better or worse since last month, that's a real monthly service For clinics, law firms, medspas, dealerships, and home service companies, reputation is not cosmetic It directly affects how many people trust them enough to book The smart part is that the proof is already public You are just packaging it into something the owner can finally use Check full article about below