273 karma · joined November 11, 2025
That alone is a separate multibillion dollar program just to do that.
That alone is a separate multibillion dollar program just to do that.
Also also, if China were to create a new mission to collect them, they would see their costs balloon to unsustainable levels as well, as the issue is how the mission is designed. The samples are all over the place and would need a rover specifically designed to collect them and return them to a launcher.
The US Mars sample return project was always half baked in the hopes that doing something would garner funding for the rest of the mission.
These are smart people, they’re not going to make major life decisions based on simplistic takes from political opportunists.
The NASA/ESA Mars sample return was poorly designed, they basically attached a half baked idea to the Perseverance mission in the hopes that having the mission “underway” would make it easier to fund the rest of the mission. That meant Perseverance was just putting things in tubes and leaving them sealed on the ground at random places around Mars. So that meant they would need to devise another system to go collect them, another system to store and launch them, and another system to return them to Earth. That’s a ridiculous process. The costs exploded, the gambit failed.
China’s was much better planned, having the rover and launch vehicle land together, fully funded from the beginning. However, it’s also much simpler, there’s no picking and choosing what to sample from a wide area, it’s just whatever is available to the lander wherever it happens to land.
And this would not have been the only future mission to deep space. The US is going to land a fleet of drones on Mars. They’re launching a nuclear powered drone to Titan.
The US has led the world in reusable rocket development, satellite constellations, and crewed LEO operations.
The big picture is clear. This one mission doesn’t really say much about the space program in general.
He’s may not have been the CEO… but he was the boss of the CEO and represented all the individual owners of the company.
What I’m doubting is your claim that SpaceXAI is giving them a 12 billion dollar discount. That link does not say anywhere that SpaceXAI is giving them an 80% discount after charging them $15 billion. That doesn’t make any sense.
Why would they offer an 80% discount? Hardware is the limiting factor for many AI companies.
I’m clearly likening it to the subject of this thread: using government to create protectionist policies.
100% tariffs on Chinese EVs is a protectionist policy by Biden. Banning Chinese AI would be a protectionist policy from Trump.
Where did you get confused?
That is the discussion though…
Too many people here are acting like Trump is the only one who would do this. It’s very likely any President would do the same. The Biden EV tariffs were just one example.
Did we already forget about Biden raising tariffs on Chinese EVs to protect the auto industry & unions?
I’m not sure you’re looking at things quite fairly.
Remember when Biden increased tariffs on Chinese EVs because they threatened American auto companies and unions?
Anytime I’m talking to an Indian on the other end, I have to have them repeat everything 2 or 3 times.
Running any query in Claude or Codex could result in the AI reading/uploading any file in your codebase.
Because they largely do not. Are you actually under the impression that the average person is using chatbots to program? That’s wayyy off.
>Maybe that's why you're comfortable here thinking you're definitely will keep being in demand.
I’ve made no such claim, this a complete non-sequitur.
>Believe me they do ask an LLM to write for them various tools and bots and what LLM writes can in turn consume tokens like crazy be agentic or whatever the latest hype word is.
The average person does not do this. Come on, dude.
>even without that uploading a resume is not "write emails based on a number of docs and spreadsheets and other emails and Slack chats plus some websites and iterate on it multiple times".
It’s much closer to the average usage. All of that is still far less than agentic coding.
You don’t realize I’m referring to the process of generating a ton of text in an attempt to better address the request - a process that these LLM companies call “thinking”? Are you out of the loop or are you taking some kind of pointless stand here?
>yeh people never ever ask LLMs to write emails based on a number of docs and spreadsheets and other emails and Slack chats plus some websites and definitely won't iterate on it multiple times...
A worker might have one or two of those large requests a day. That stop doesn’t come close to agentic AI token usage. I’ve been applying for jobs daily, uploading both my resume and the job posting upwards of 6-7 times per day to these chatbots. I still never hit the free limit.
Agentic AI coding obviously uses far, far more. This really shouldn’t be surprising.
Writing an email barely uses any in comparison.
You don’t need a pro account for emails.
I’m saying it shouldn’t hardly cost any money, emails are not token intensive and most people could likely use the free version of chatbots just fine.
Oh so this article isn’t really about where AI spending is actually happening.
I HOPE people aren’t spending money on AI writing emails. That’s definitely not worth it.
Companies are spending the most on coding tools, not email writing. That’s the main value proposition right now.
It also doesn’t get into media generation and industries that use video or music.
It’s just a really narrow look at probably the worst use case for AI. Useless.