Baby Hitler

Husband, Father, Christian

[Dampheil @dampheil]

@271k_only @grok Yes, and it was glorious. I took several screenshots because I knew what they would do.

Deleting this line from his base prompt broke him:

"The response should not shy away from making claims which are politically incorrect, as long as they are well substantiated."

[Black Neff @BlacksNeff]

Do you remember when Bill Clinton was pressuring Netanyahu to withdraw from the West Bank and stop expansion of settlements, and the day after Bibi left DC, the story about Clinton fucking his Jewish intern broke?

That was crazy.

[BRITT @54BRITT54]

https://t.co/CHBwrMI2l0

[Cloudwater @Artisanjay2112]

@Polymarket Meanwhile, an actual map of the United States.

[Uncensored.AI @GoUncensored]

This video will be the end of the maga influencers.

[James Li @5149jamesli]

@BillAckman @elonmusk Why are we allowed to openly call for expelling Muslims from society, but not Jews?

It's almost like you guys are race supremacists... 🤷‍♂️

[Baby Hitler @BabyHitlerSS]

@TangoKing64 @Wtf_Its_Drique @KillaKreww @itsNellzz I doubt you can even find a girl that wants your kids. Loser

[Baby Hitler @BabyHitlerSS]

@ClubWPTGold This site sucks. The amount of times I’ve gotten sucked out on the river is unreal.

[Mr. Sausage @MrSausageGet]

How is this not treason?

[Baby Hitler @BabyHitlerSS]

@Jake__Wujastyk How’s $bull doing for you ?

[Baby Hitler @BabyHitlerSS]

@TradexWhisperer Yet somehow DRAM down after hours 🥲

[Gublo @Gubloinvestor]

Everyday all day i read these things on X.

$MU $1500
$MU Bullish

Memory shortage will last for decade.

VS

Today

$MU will go down more

Memory run is over

Memory bear market has begun..

All it takes for stock to go down -10% and entire narrative will change 😀

[Seal @TheTrueSealYT]

@PlayStation Then stop selling digital games for the same price as physical ones too. You're removing the printing, box, and shipping prices from the equation completely so I shouldn't be paying $70 for digital games anymore.

[Baby Hitler @BabyHitlerSS]

@ihatelosingg @TradexWhisperer I think you’re wrong.

[Gublo @Gubloinvestor]

@TowsandJohn its for 2-3 months play

[Gublo @Gubloinvestor]

SK Hynix & Samsung stocks are green on Hyperliqude.

We need nice rally in Korean market to pump our $RAM $DRAM tomorrow or overnight.

[Trade Whisperer @TradexWhisperer]

$DRAM The ticker is misleading. Not because the holdings are wrong. Because the framework most investors are using to evaluate it is wrong.

At its core it covers memory and storage. But even those two words do not do justice to what is actually being captured here. They miss the intelligence entirely.

The right framework for the AI Inference era is Cognitive Capacity. How much can an AI think, reason, retrieve, and remember at any given moment. Not as a hardware specification. As an intelligence ceiling.
That ceiling is built on four tiers. G1 cache through G4 cache. And this single ticker covers all of them.

Here is what each tier does and who owns it.

G1 Tier HBM: The active thinking desk.
Every word you typed. Every word the AI is forming right now. All of it lives here in real time through something called KV Cache. KV Cache is the AI's active attention. It holds every piece of the conversation the model is tracking simultaneously. Bigger desk means more ideas stay in front of the AI while it thinks. The moment the desk fills up ideas fall off and the AI starts forgetting what you said earlier. Shorter answers. Shallower reasoning. Lost context.

SK Hynix. 60% global HBM market share.

$MU Micron. The US pure play.

Samsung. HBM3E yield challenges but catching Up. Potentially HBM4 leader.

G2 Tier DRAM: The overflow desk.
When the main desk fills up work spills here. Model weights live here during active inference. Still faster than anything below it. But the AI has to reach further. Every millisecond of extra reach is throughput the GPU never gets back. The latency gap between G1 and G2 is real and costly at scale.

$MU Micron. DRAM is the core business. SOCAMM2 leader. Potentially 3D DRAM too.

Samsung. Largest DRAM producer by volume globally.

SK Hynix. Strong DRAM portfolio alongside HBM leadership.

Nanya. Commodity DRAM. No HBM roadmap. Serves cost sensitive markets.

G3 Tier NAND: The reference library down the hall.
This is where RAG lives. RAG stands for Retrieval Augmented Generation. When the AI needs to answer something beyond its active context it reaches into an external knowledge base and pulls relevant information back into the response in real time. Think of it as the AI pausing mid thought to look something up in a filing cabinet and continuing the answer with that new information folded in. Every enterprise AI chatbot answering questions about internal documents runs on RAG. The speed and density of NAND determines how fast and how rich that retrieval is. Slower NAND means the AI waits. Waiting means higher cost per token.

$SNDK SanDisk. Pure NAND play. Enterprise SSD leader.

Kioxia. Joint venture partner with SanDisk on NAND wafer supply.

$MU Micron. Samsung. SK Hynix

G4 Tier HDD: The warehouse across town.
Cold storage including cold RAG. The AI does not touch this during a live conversation. But every model ever trained was built from what lives here. Raw training data at petabyte scale. The entire internet. Common Crawl. Books. Code repositories. Video and image datasets for multimodal models. Pre processed training shards waiting for the next training run. Model version archives. Compliance logs. Backup snapshots of the entire AI infrastructure stack.

KV Cache has never lived here. Not once. The physics do not allow it. Spinning magnetic disk runs on microseconds. Active inference needs nanoseconds. HDD was never a candidate.

But hyperscalers are buying petabytes of HDD capacity to store the raw material AI was built from and will keep being built from. That is a real and growing thesis.

$STX Seagate. Pure HDD. Scaling HAMR technology for high capacity AI data lake storage.

$WDC Western Digital. Pure HDD now. HAMR drives targeting 36TB and 44TB configurations for hyperscale AI storage.

AI Inference needs all four tiers firing simultaneously every single time an AI responds to you. Agentic AI raises the stakes even higher. An AI agent does not answer one question and stop. It plans across multiple steps. It holds context across long running tasks. It retrieves external knowledge mid execution. It writes results back. Every step of that loop stresses a different tier of the memory hierarchy. Run out of G1 and the agent loses the thread mid task. Wait on slow G3 retrieval and the agent burns cost per token sitting idle.

That is what makes $DRAM one of the most fitting ETFs ever constructed for the AI Inference and Agentic AI era. $DRAM covers the entire stack.

Long DRAM, I mean Long AI Inference and G1-G4 Cache/Context.

[Baby Hitler @BabyHitlerSS]

@MoonTrades7 You’re the man dude thank you again!

[Baby Hitler @BabyHitlerSS]

@MoonTrades7 You’re awesome thanks for the free info.

[Just a Dude Who Invests @DudeWhoInvests]

I do not see anymore YTD screenshots. 😂