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Build the ultimate money printer! 💸✨ Plink Lab Trigger chain reactions, multiply balls, and watch billions explode! Pure visual spectacle, so addictive you can't stop. 🎰🔥 🎮 Check it out on Steam👇 #PlinkLab #IncrementalGame #IndieGame

14,547 views • 29 days ago •via X (Twitter)

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i watched gemma 4 12b build something genuinely impressive today, and then loop itself to death right in front of me. the full run is in the video, sped up but completely uncut, watch it to the end and you will catch the exact moment it stops building and starts looping right in the middle of the work. the task was clean, build a single file gravity simulator, n-body physics, orbits, collisions, running locally on one 3090 through an agent. and for ten minutes it was a joy to watch. it reached for a symplectic integrator on its own, the correct one, the kind that keeps orbits stable instead of spiralling out. real gravity with softening, proper orbital velocities, momentum conserved on collision. the physics was right. the thing actually worked. then on the very last step, writing a few tests to prove its own code, it fell into a loop. not a crash, a loop. it started repeating itself and would not stop. ten more minutes, thirty four thousand tokens into a single answer, the same fragments over and over, until i killed it myself. so it's not that gemma can't code. it did the hard part beautifully. it cannot finish. it cannot hold a long task together without unravelling, and finishing is the entire job in agentic work. here's the part that stings. i run this exact task, same harness, same card, on the chinese open models, qwen especially, and i never see this. they build it, they test it, they stop. every single time. google has the raw capability, you can see it sitting right there in the code, and then the model loops itself to death on a task a 27b from alibaba finishes clean. open weights, apache 2.0, so much to love on paper. i just need it to know when to stop talking.

Sudo su

39,574 views • 2 months ago

Everyone ranks L2s by TVL. But it’s the laziest scoreboard in crypto. It tells you where money is sitting, not who’s actually winning. Here’s what I look for 👇🏻 ◢ TVL = Vanity Metric Parked capital is not a business. A chain can hold billions in deposits and still bleed money every month covering its own costs. TVL measures where liquidity is camping today, not whether the chain earns, profits, or survives a real bear. for years we ranked these networks by the one number that says the least about their survival. ◢ The Pie Is Shrinking Here’s the part nobody says out loud. Total L2 revenue has been falling, not growing. After Dencun crushed data costs in 2024, fees collapsed with them, and the money these chains collectively earn dropped hard from its peak. So, this stopped being a land grab a while ago. It’s now a fight for share of a market that’s actively getting smaller, which changes everything about who actually wins. ◢ Rented Users Don't Count In a shrinking market, only one question matters: can you get users without paying for them. Incentives, airdrops, points farms, none of that is growth, it’s renting volume by the day. The second the rewards stop, the mercenaries leave and the chain goes silent. We already watched it happen to 50+ rollups that are functionally dead now, billions in “TVL” that vanished the moment emissions dried up. ◢ Distribution Beat Tech The one chain that actually solved this didn’t out-engineer anyone. The tech is good, not magic. What it really did was plug into a userbase it already owned and route millions of verified accounts onto the chain by default, at zero acquisition cost. Distribution beat technology, again. It's the most repeated lesson in this entire industry and still the one founders refuse to learn. ◢ The Real Ranking Stack the three majors up by who earns, who profits, and who keeps their users, instead of who has the most money parked on them, and the ranking flips from the one everyone repeats. I put them side by side in the video with the revenue, the profit, the users, and a flat verdict on each. So, in a market that’s contracting, would you rather own the chain with the most capital sitting on it, or the one that still earns when every incentive in crypto finally switches off?

Onur 🍌🦍

17,447 views • 2 months ago

Wall Street burns billions trying to predict Bitcoin. A 28-year-old self-taught coder in Warsaw made $377,000 by not even trying. He'd lost money on three trading bots before this one. Each looked perfect on paper, then started losing money the moment he ran it for real market. So he built bot that doesn't trust itself. His wallet: The truth is simple: you can't predict the next five minutes of Bitcoin. It's a coin flip. Anyone selling you a "prediction" is selling you nothing. So he stopped predicting. The bot hunts the moments the crowd is wrong instead. Here's the part that makes the money, and it's the opposite of what everyone builds. Any strategy can be made to look amazing on past data. On a 5-minute chart, most of them are just lucky, not real - and they stop working fast. So the bot treats every strategy it finds as fake until it proves otherwise. Each one has to pass a hard test: > test it on old data → test it on data it's never seen → try to break it on purpose → cut it down to the one thing that matters → run it forward → keep it only if it still works Last round, 10 of its 12 "winning" strategies turned out to be fake. It kept the 2 that actually worked and dropped the rest. And it never stops - building, testing, and dumping strategies around the clock. What worked yesterday can stop working today, so the second one starts losing, it gets cut before it costs you a thing. The result: $433,000 across 2,955 trades All his old bots tried to be right. This one just tries to catch itself being wrong - and that's why it's still alive. Bookmark this article below - it's the breakdown that explains why your last bot died. It's pruning and trading right now. Copy its wallet and skip to the edges that survived:

cvxv666

27,854 views • 1 month ago