CodeGreen

@trajan0x @SynapseProtocol @LayerZero_Core

@ioscode @SynapseProtocol This route is @LayerZero_Core now. We only operate the front end.

1 more week.

@trajan0x @SynapseProtocol Avalanche <> DFKChain

@ioscode @SynapseProtocol Which route are you stuck on? Some of these are third party routes now.

@ZachsORoutdoors @Salem_Statesman It's weird to think how we are all eager for these places to open after they have burned, but deep down I think what we really want is for them to be similar to how they were before burning. Won't happen in our lifetime.

ICYMI: Why beloved Opal Creek won't reopen until spring 2027 statesmanjournal.com/story/travel/o… via @salem_statesman

Day 40 of The Great Pausening. Definitely feels like we've been wandering around a desert.

Satoshi's coins should be left alone. They will essentially need to be "mined" again in a different way by whoever puts the huge investment and energy needed to crack one address at a time with a quantum computer someday. They will deserve the reward they get.

Did you know DFK History @DeFiKingdoms Saga page has a geneology tab? Just added guilds to it. I kinda thought there were more, did I miss any? dfkhistory.cognifact.com/saga

For anyone who used a computer between 1990 & 2005… what’s the one game you still think about?

@beyker76958357 @Team1LatAm I like Doritos

No te pierdas de lo que se viene en dorito chain en LATAM con @Team1LatAm 🔺

@Hantao @DeFiKingdoms community is still hanging on, though much smaller

Are there still active communities in crypto? Like real people there for the vibes. Seems like majority got wiped out the last year.

Day 19 of The Great Pausening. No end in sight...

🚨SHOCKING: Apple just proved that AI models cannot do math. Not advanced math. Grade school math. The kind a 10-year-old solves. And the way they proved it is devastating. Apple researchers took the most popular math benchmark in AI — GSM8K, a set of grade-school math problems — and made one change. They swapped the numbers. Same problem. Same logic. Same steps. Different numbers. Every model's performance dropped. Every single one. 25 state-of-the-art models tested. But that wasn't the real experiment. The real experiment broke everything. They added one sentence to a math problem. One sentence that is completely irrelevant to the answer. It has nothing to do with the math. A human would read it and ignore it instantly. Here's the actual example from the paper: "Oliver picks 44 kiwis on Friday. Then he picks 58 kiwis on Saturday. On Sunday, he picks double the number of kiwis he did on Friday, but five of them were a bit smaller than average. How many kiwis does Oliver have?" The correct answer is 190. The size of the kiwis has nothing to do with the count. A 10-year-old would ignore "five of them were a bit smaller" because it's obviously irrelevant. It doesn't change how many kiwis there are. But o1-mini, OpenAI's reasoning model, subtracted 5. It got 185. Llama did the same thing. Subtracted 5. Got 185. They didn't reason through the problem. They saw the number 5, saw a sentence that sounded like it mattered, and blindly turned it into a subtraction. The models do not understand what subtraction means. They see a pattern that looks like subtraction and apply it. That is all. Apple tested this across all models. They call the dataset "GSM-NoOp" — as in, the added clause is a no-operation. It does nothing. It changes nothing. The results are catastrophic. Phi-3-mini dropped over 65%. More than half of its "math ability" vanished from one irrelevant sentence. GPT-4o dropped from 94.9% to 63.1%. o1-mini dropped from 94.5% to 66.0%. o1-preview, OpenAI's most advanced reasoning model at the time, dropped from 92.7% to 77.4%. Even giving the models 8 examples of the exact same question beforehand, with the correct solution shown each time, barely helped. The models still fell for the irrelevant clause. This means it's not a prompting problem. It's not a context problem. It's structural. The Apple researchers also found that models convert words into math operations without understanding what those words mean. They see the word "discount" and multiply. They see a number near the word "smaller" and subtract. Regardless of whether it makes any sense. The paper's exact words: "current LLMs are not capable of genuine logical reasoning; instead, they attempt to replicate the reasoning steps observed in their training data." And: "LLMs likely perform a form of probabilistic pattern-matching and searching to find closest seen data during training without proper understanding of concepts." They also tested what happens when you increase the number of steps in a problem. Performance didn't just decrease. The rate of decrease accelerated. Adding two extra clauses to a problem dropped Gemma2-9b from 84.4% to 41.8%. Phi-3.5-mini from 87.6% to 44.8%. The more thinking required, the more the models collapse. A real reasoner would slow down and work through it. These models don't slow down. They pattern-match. And when the pattern becomes complex enough, they crash. This paper was published at ICLR 2025, one of the most prestigious AI conferences in the world. You are using AI to help you make financial decisions. To check legal documents. To solve problems at work. To help your children with homework. And Apple just proved that the AI is not thinking about any of it. It is pattern matching. And the moment something unexpected shows up in your question, it breaks. It does not tell you it broke. It just quietly gives you the wrong answer with full confidence.

@kjetilsv @DeFiKingdoms @dfkwinston Movie deal for final round of game funding someday 😆

@ioscode @DeFiKingdoms Awesome! This will be a semi-shitty hollywood movie someday. (I want Samuel L. Jackson as @dfkwinston (dont know why))

Considering the crossroads that the @DeFiKingdoms project is at now, I thought it would be a good time to go back and take a stroll through the last 4.5 years events around the project. With that, I present a new section of the DFK History tool - Saga dfkhistory.cognifact.com/saga

This new site for @DeFiKingdoms is packed with cool features, check it out.

@M3ll0wF3llw @DeFiKingdoms @DarthAffinity Looks awesome!

Merry Christmas to the @DeFiKingdoms community! To celebrate, I would like to officially launch MellowDFK, an informational hub for everything DFK related! Thanks to everyone who has helped to make this possible, in particular @DarthAffinity ❤️‍🔥 mellowdfk.com 1/x

@CoinDesk These kind of posts are dumb

If you could only choose one? XRP or BNB?

@BolonSoron_DFK @DeFiKingdoms Most people don't want a real game, they just want to doomscroll drama and watch the latest hyped tokens' number go up I Guess.

When the whole timeline is which game rugged, shut down, or got hacked today but everyone just keeps fading a game that’s been live for 4 years, survived multiple chains getting hacked, never been hacked themselves, and keeps on shipping update after update….(@DeFiKingdoms obvi)

@DeFiKingdoms Confuse resistance... take that you cheeping roc bocs.

How about we check out some more of the 77 unique Pet Combat Bonuses being introduced to DeFi Kingdoms next week! These next 11 bonuses are also available in 1 star, 2 star, and 3 star varieties. Which resistance is your favorite?

@bitsandbips @KavitaGupta19 @intangiblecoins @samkazemian Through the whole why galaxy skipped L2s discussion, I kept thinking @MetisL2 has a decentralized sequencer.

NEW EPISODE! From Hyperliquid’s $USDH fight to the state of DATs and tokenized equities 🏛 @KavitaGupta19, @intangiblecoins & @samkazemian dig in: 💸 Distribution: the true stablecoin moat ⚠️ DATs & investor frustration 📉 Why Galaxy skipped L2s unchainedcrypto.com/bits-bips/bits…