Deno

i gave an AI agent the actual X algorithm code and asked to analyze my account now it optimizes all of my posts for reach before i hit send my account's basically been dead for years so this is the experiment post 1. let's see how far this goes 😭

A CONTRACTION TIMER APP IS DOING $80K/MONTH do you like building stuff for you or what the market needs? x.com/RoundtableSpac…

minecraft kids are about to have better art direction than most marketing teams

everything in this video is AI. the road, the car, the person, all of it 😭 found a video going viral purely on attention retention, had claude analyze why it worked, then rebuilt it in higgsfield with a different car the "made with AI" tag is the only way you'd know comment "workflow" and i'll dm you the exact process (follow so it sends)

this video has perfect score on Meta's attention brainworm video analyzer

nobody: Mr. Beast: I gave away $5,000,000 with my wand

the "learn to prompt" era is gonna age exactly like the "learn to code" era the skill was never the typing it's knowing what's actually worth building what are you building right now

@garyvee based

No, you didn't waste time. You learned.

applies to every aspect of life

the wild part is i already ran the reply guy experiment. 17k of them. stayed dead 😭 volume isn't engagement. saying something is.

i gave an AI agent the actual X algorithm code and asked to analyze my account now it optimizes all of my posts for reach before i hit send my account's basically been dead for years so this is the experiment post 1. let's see how far this goes 😭

AI didn't make content cheap. It made it infinite. The second anything is infinite, all the value moves to what doesn't scale: - taste - distribution The model was never the moat. Being worth distributing is.

@thereplydeskx I have 17k posts most of them are replies...

@denoweb3 optimizing for the algorithm is one experiment. optimizing your replies is the other one. most dead accounts come back faster through engagement than through better posts

@RoundtableSpace based af

THIS GUY SPENDS $10K/MONTH ON AI CODING AGENTS AND BARELY TOUCHES HIS KEYBOARD

@varshikaARK it's lowkey fire 😂

For those not chronically online, Cash App saw the viral "pay with magic" videos where people jam credit cards into wands and turned it into a real hardware product with Cash App Tags. The pace of shipping is impressive! Hardware has always been hard, and turning an internet meme into a physical product is even harder. But that's exactly where @blocks shines!

@gregisenberg The fact that updates happen on auto is a game changer. Curious how fast Claude will answer 👀

EVERYTHING YOU NEED TO KNOW ABOUT CHATGPT'S "LOVABLE KILLER" CODEX SITES (in 25 mins): TLDR; the coolest part is that apps you build can update themselves autonomously 1. Codex Sites is not Replit or Lovable or Bolt. Those are great for one-prompting a full app. Codex Sites is for building apps that the agent keeps improving without you touching them. 2. Your personal website can update its own stats. Your internal dashboard can refresh its own data. Your product can add features while you sleep. The app is alive. 3. Start by invoking at-sites. Use realistic sample data. Always say "save for review, do not deploy." This unlocks building a real product, not a homepage. 4. Add persistent storage so the app remembers everything between visits. Without this it resets every time. Ask Codex to show you the data model before it builds. 5. Create safe actions. These are the specific things the agent is allowed to do to your app: add data, update cards, move things, score things. You define the boundaries. The agent operates within them. 6. Build skills so any future Codex chat knows how to interact with your app. The skill is basically a manual for the agent. Without it, every new chat starts from zero. 7. Save gate like a video game. Codex doesn't auto-save. Create checkpoints before you deploy so you can roll back if something breaks. 8. Close the autonomous loop. This is the magic. Once memory, safe actions, and skills are set up, the agent can update your app from any chat, any context, without you switching tabs. 9. Use the plugins most people are sleeping on. Figma, Canva, HeyGen for avatar videos, Game Studio for interactive experiences, FAL for image generation, Hugging Face for open source models. Worth adding a few. 10. The big picture: we went from building apps to raising apps. You set up the structure, the guardrails, and the skills. The agent does the rest. That's autonomous product building and it's here right now. Tbh, Codex sites isn't perfect. Still a lot to be desired like domains, db, authentication etc. But it's a glimpse into this idea that apps can be updated/improved upon automonously. And Codex Sites is REALLY good if you live in Codex everyday. Which more and more of are. And that's really cool. Will be interesting to see how Lovable, Bolt, Replit etc react to this. full tutorial on @startupideaspod where you get your pods youtu.be/tUeSxXHmE9w?si… watch share with a friend i'm rooting for you What do you think of Codex and Codex sites?

@kimmonismus Compounding efficiency gains are simply inevitable

Holy moly, Anthropic is getting very serious about recursive self-improvement! One word: acceleration. Insane blog article. Tl;dr: •We are close to an AI capable of fully autonomously designing and building its own successor •They stress this isn’t here yet and isn’t inevitable, but could arrive sooner than most institutions are ready for •Anthropic engineers now ship on average 8x as much code per quarter as they did in 2021–2025 •Task length AI can reliably complete is doubling roughly every 4 months (up from every 7 months) •Opus 3 (Mar 2024) handled ~4-minute tasks; Sonnet 3.7 (a year later) ~90-minute tasks; Opus 4.6 (a year after that) 12-hour tasks •SWE-bench went from low single digits to saturated in two years; CORE-bench (research reproduction) went ~20% to saturated in 15 months •METR found Claude Mythos Preview could work “at least” 16 hours, at the top of what they can currently measure •As of May 2026, Claude authored 80%+ of code merged into Anthropic’s codebase (low single digits before Claude Code launched in Feb 2025) •A March 2026 poll of 130 research staff: median respondent estimated ~4x output with Mythos Preview •One April 2026 example: Claude shipped 800+ fixes cutting a class of API errors 1,000x, work an engineer estimated would have taken a human four years •Claude-written code quality: worse than human in late 2025, roughly at parity now, expected to be strictly better within the year •On the hardest open-ended tasks, Claude’s success rate hit 76% in May 2026, up 50 points in six months •Code-speedup test: Opus 4 averaged ~3x speedup (May 2025), Mythos Preview ~52x (April 2026); a skilled human needs 4–8 hours to hit 4x •In an AI-safety research project, Claude agents recovered 97% of a performance gap (vs ~23% for two human researchers in a week), over 800 compute-hours and ~$18K •On picking the better “next step” in research sessions, the best model beat the human choice 51% (Nov 2025, Opus 4.5) rising to 64% (April 2026, Mythos Preview) •Human comparative advantage, for now: research taste and judgment, i.e. choosing which problems matter and when an approach is a dead end Three possible futures •The trend stalls (S-curve), but today’s capabilities still diffuse widely; they consider this least likely •Compounding efficiency gains, with humans still setting direction; 100-person firms doing the work of 10,000+; they think this is the likely path •Full recursive self-improvement, where AI builds its successors and pace is set by compute; the alignment outcome here is what they’re least certain about

@0xrwu Good question, ai submissions will simply won’t get picked by the creator of the bounty I guess

So how do you detect AI submissions here?

Watch Live @PLAYWTFGAMES discord

How to make $10k/month in 2026