CodeGreen

I am a code writing, forest hiking, table game playing, biped of planet Earth.

[CodeGreen @ioscode]

@dfkwinston

[CodeGreen @ioscode]

@dfkwinston West side of Oregon here, that's closer though!

[CodeGreen @ioscode]

@at_mwagner Remove your physical mailbox

[CodeGreen @ioscode]

@trajan0x @SynapseProtocol @LayerZero_Core

[CodeGreen @ioscode]

@trajan0x @SynapseProtocol Avalanche <> DFKChain

[CodeGreen @ioscode]

@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.

[CodeGreen @ioscode]

@TheBrownGoose69

[CodeGreen @ioscode]

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.

[CoinDesk Podcast Network @CoinDeskPodcast]

A Bitcoin developer proposes a controversial fork targeting Satoshi’s coins, the EU moves to cut off Russia from crypto markets, and Aave raises $220M to cover bad debt after a $10B bank run.

Jenn Sanasie has what you need to know.

[CodeGreen @ioscode]

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? https://t.co/JtOE95E1o7

[CodeGreen @ioscode]

@GamewithDave

[CodeGreen @ioscode]

@beyker76958357 @Team1LatAm I like Doritos

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

[CodeGreen @ioscode]

@TheBrownGoose69

[Nav Toor @heynavtoor]

🚨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.

[CodeGreen @ioscode]

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

[CodeGreen @ioscode]

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 https://t.co/JtOE95E1o7

[CodeGreen @ioscode]

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

[MellowFellow @M3ll0wF3llw]

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 ❤️‍🔥

https://t.co/DIMXZtcstM

1/x

[CodeGreen @ioscode]

@M3ll0wF3llw @DeFiKingdoms @DarthAffinity Looks awesome!