GOBLIN

$GOBLIN Coin on Solana AI is no longer a niche tool, it’s infrastructure. Developers, founders, and millions of users interact with systems like ChatGPT every day. And as usage scales, people are starting to notice something deeper: Not just what models say, but how they’re shaped. Why do certain instructions repeat? Why do constraints echo themselves? Why do some rules feel… over-enforced? These aren’t bugs people ignore. They’re patterns people share. Screenshots. Threads. Speculation. That’s where $GOBLIN lives. CA: 3KHMZhpthXuiCcgfTv7vVu9PpEz64KAEURFwi6Lopump Relevant X posts to describe narrative: 1) x.com/arb8020/status… 2) x.com/ChatGPTapp/sta… 3) x.com/sama/status/20… 4) x.com/AndyAyrey/stat… 5)x.com/AndyAyrey/stat… 6) x.com/sama/status/20…

@sama @birdabo welcome to the goblin side

@birdabo welcome to the light side!

just noticed @sama been suspiciously active in the TL in the past few days. imma switch to PRO from claude max if he replies to this.

the @sama goblin rebrand hits way harder than the zuckerberg ufc manosphere rebrand

@kmoney @sama Goblin Mode

There is a conspiracy of goblins. They’re 3ft tall, they eat adrenochrome, and they run 100% of the central banks. Grok Imagine came up with this pure insanity. All I did was ask it to produce a “goblin conspiracy” and this is the result. No other prompting. Insanity.

@ianmiles Goblin Mode

@tszzl @repligate @genalewislaw do we think it is better or worse for code bases to have a goblins in them? has anyone done ablations or regression test on goblin. This seems like an important thing to know

@pubity GOBLIN MODE

ChatGPT randomly became obsessed with talking about goblins, to the point where it started ruining the chatbot for users. An emergency anti-goblin patch was recently released that told ChatGPT to stop talking about goblins and other creatures unprompted.

@WSJ GOBLIN MODE

OpenAI recently gave its popular ChatGPT strict instructions: Stop talking about goblins. on.wsj.com/4ur2klq

3 DAYS LATER: Over $130,000 worth of $SOL has been used to buyback more $GOBLIN coin. 100% of this supply has been automatically burned via the @Pumpfun tokenized agent. The goblin wheel never stops spinning.

alignment theory: we need fifty years worth of shard theory progress in five years alignment practice: lets make sure to tell it no goblins twice so we're absolutely sure there's no goblins

@nicdunz top 1% of goblins

crazy

@nicdunz @chatgpt21 /hatch make me an overworked goblin slave pet

@chatgpt21 /hatch make me an overworked goblin slave pet

Why not Goblins

@beffjezos e/goblin acc

As much as I will comment on the regulatory politics of each lab, at the end of the day, I will use the best tool available at a given time.

@therealchaseeb [goblin]maxxing

Incredible genz has rebranded just doing normal things as [thing]maxxing. It’s like they finally discovered the world outside of their phones. Incredible

Totally agree @jxmnop. On the surface it looks like a “Big L” for interpretability, because people didn’t need sparse autoencoders, probing, or deep mechanistic analysis. They just asked models questions and counted how often “goblin” showed up. That feels almost embarrassingly simple. But that simplicity is the point. The GOBLIN moment sits right at the intersection of AI weirdness, memes, and the race to AGI. It shows that before we can even fully interpret these systems, we can observe them behaving in strange, emergent, and socially contagious ways. The internet didn’t need a formal paper to notice something was off, it detected a pattern, turned it into lore, and spread it faster than any research cycle could. Interpretability tries to answer why models behave a certain way. The goblin phenomenon proved that what they do can be just as powerful, especially when it leaks into public consciousness. And the lore basically writes itself: The labs tried to summon AGI. Instead, the models started whispering about goblins. What researchers saw as a quirky alignment artifact, the internet reframed as meaning. The goblin became a symbol of everything we don’t fully control, the hidden layer of personality emerging from prediction engines, RLHF, system prompts, and messy internet data. That is why it sticks. You cannot “solve” that with a quick count of tokens. If anything, that measurement just confirms the surface behavior. It does not explain why that concept clustered, why it spread across models, or why it resonated so hard with humans watching it happen. That is the fascinating part. The goblin is not just a bug, it is a narrative anchor. And narratives outlive experiments. Even if interpretability eventually maps every circuit and explains exactly why “goblin” appeared, the meme has already escaped. It now represents the unknown inside AI, the gap between what we build and what we understand. That is why it will keep coming up in AI conversations. Not because it was unsolved, but because it revealed something deeper: We are not just building intelligence. We are accidentally creating myths alongside it. /goblin mode

the OpenAI goblin fiasco was a Big L for the interpretability research community They solved the mystery without SAEs or probing or anything. just talked to various models and counted the number of times they said Goblin

@ai_for_success THE GOBLINS ARE RETALIATING FOR BEING CODED OUT @sama @OpenAI @ChatGPTapp @tszzl

ChatGPT is down; goblins have taken over.