You don't think he was aware of the potential to leverage Twitter to elect a friendly president and alleviate his severe regulatory challenges? That part was just a happy accident?

Are we forgetting the part where he bought twitter because of a joke, got sued over it for manipulating twitter's stock price, tried to buy his way out by buying twitter, realized it would cost too much money and tried to back out, got sued again and finally was more or less forced to follow through on the purchase?

Are these the actions of a man following a well thought out plan to elect a president?

We all know why he did it: because people wrote on and listened to twitter a lot, and he didn't like what they said. He wanted to control the conversation that was unfavourable to him.

> He wanted to control the conversation that was unfavourable to him.

Same thing Thiel is doing for political control: attempting to inherit the religious right from MAGA -perhaps on behalf of hos protegé. Thiel's plans will likely outlive the movement's leader and/or go beyond 2028, it's a race against time to establish his bona fides while the sun shines

^ that was always my impression

He wanted to control the conversation by... buying twitter and removing nearly all existing controls of conversation?

How quickly we forget how censored twitter was before he bought it

You forgot the bit where he changed the algo to get his posts artificially boosted

> How quickly we forget how censored twitter was before he bought it

About as quickly as he forgot “comedy is legal again” when people started criticizing him.

I do, but think that that's orthogonal from the constant positive affirmations to all of his random thoughts. That's a sensation bought.

Of course a conversation about Peter Thiel and the Vatican has someone finding a way to mention Elon

The answer is, of course lol?

Gamers Nexus did a whole deep dive which basically proved that Chinese researchers had access to whatever they wanted.

https://youtu.be/1H3xQaf7BFI?si=ojlxOC7uiPqZxv0N

edit: not sure if this was sarcasm

Some of the big LLM labs have written about their training hardware.

DeepSeek v3 was trained on 2,048 NVIDIA H800s. https://arxiv.org/abs/2412.19437

MiniMax M1 used 512 H800s. https://arxiv.org/abs/2506.13585

The H800 wasn't banned in the first round of export controls - but was after October 2023: https://www.cnbc.com/2023/10/17/us-bans-export-of-more-ai-ch...

Z.ai say they used Huawei hardware: https://www.theregister.com/2026/01/15/zhipu_glm_image_huawe...

Qwen and Kimi haven't disclosed their hardware as far as I can tell.

If they were using banned chips they wouldn't declare them in public papers. There have been multiple documented/alleged cases of chips being routed through Singaporean shell companies.

For example: https://www.tomshardware.com/tech-industry/artificial-intell...

Asking how fast they're going is a reasonable question. If they're driving over 75mph, a 40% range drop is not surprising.

An ICE car comes nowhere near it's EPA rated mpg ratings at over 75mph either.

I like Cloudflare's products, the their vibe for all of their documentation is "well the user will figure it out."

The counter to this are the open weight models that come from China at the moment.

All are great at reasoning but also ideologically aligned.

Their alignment is probably more strategically built in during the training phase.

At least I assume Xi Jinping doesn’t just call up DeepSeek on a whim and dictate what they should have in model context (like Musk apparently does at xAI).

RTX Pro 6000 is a glaring omission.

Yeah, that's weird, seems it has later models, and earlier, but specifically not Pro 6000? Also, based on my experience, the given numbers seems to be at least one magnitude off, which seems like a lot, when I use the approx values for a Pro 6000 (96GB VRAM + 1792 GB/s)

No Nvidia Spark workstation is another omission.

It’s a humectant. And it subconsciously tastes good (yay capitalism).

They are a net food exporter.

How is this different than @‘ing someone in the chat apps we all already use, and that you’ll actually be responding to the ping in?

pingmebud is the equivalent to having @-mentions but in voice calls. Imagine a standup meeting at work where someone says "what do you think about this, John?" and you were not paying attention and have no idea about what the context of the conversation is. My app solves that.

But then you weren't paying attention.

You context switch back and take 2 minutes (at best... much longer than if you were in the actual conversation paying attention) to answer. Now everyone else in the realtime conversation is waiting on your answer because you were expected to be in the conversation as well. That doesn't seem like good UX to me.

That mechanism used to be shame.