Is USD just Monopoly money now?
👨🚀🔫👨🚀
The US economy is just cooked, none of it is real or makes any sense.
Didn’t fElon already try buying his way to an AI company then ruined it by being who he is? [searching] Yeah, he bought talent to put together the stupidly named “xAI” to make the offensively wrong did-you-even-read-the-book “Grok” which after three short years is so bad it’s not even on most LLM performance charts. Who knows, maybe fElon’s pedo pal in the WH will take out Anthropic, Google will give up for no reason, and the Chinese will also give up for no reason. Then everyone on Earth will spend more money than they have on Grok. $22,000,000,000,000 in revenue, EZ PZ!
We are moving away from cursor. Got too expensive
Nazis buying up more shit. Fuck all these clowns. Free Luigi.
Why can’t he download cursor for free? What an idiot.
They entered into an agreement to buy Cursor, with an expected time for the merger in Q3. It’s an all stock transaction, the number of shares that will depend on the SpaceX share price, to make up the 60 billion USD. Also they will pay in Class A shares (so the shitty ones with nearly no voting power)
Sure would like some food, affordable housing, and healthcare…
Very interesting. It doesn’t really make sense to “buy users” imo. Devs jump over to the current best offerings.
$60 billion.
Minecraft was acquired for 2.5 billion in 2014.
Okay, that put things into scale for me.
Almost like someone is lying about the inflation numbers for the past decade
Perhaps I’m missing something, but isn’t Cursor simply a VSCode fork with some AI extensions integrated into it? Hate aside, what is the actual technical value of the product?
Early on in the AI game, before Vibe Coding was even a term, Cursor was the only tool that could connect VsCode to an AI model. Since then, there are now dozens of tools to do this for you. Cursor basically has no unique features, the only value it has as a company is an existing userbase and an established dev team. The worst part is that they are built on top of VSCode, which means their existence hinges on Microsoft benevolently sharing one of their most valuable products, and Microsoft has made several moves to try to kill the Cursor userbase and bring them back to VSCode.
Cursor is one of the worst investments you could make right now. It’s surrounded on all sides by rivals trying to eat their lunch, and they have basically zero IP to protect their market advantage.
Haven’t used cursor but I assume it’s like other harnesses where the special sauce is in how it manages context, schedules sub agents, feeds them context, enforces standards, uses tools and skills etc. that make it better then just directly prompting the model.
For example you prompt opus directly with “refactor the auth flow” and it’s going to try and “one shot” it and produce the code from that prompt. Whereas a harness has instructions to say
- Research the current implementation
- Search the web for standards
- Ask the user questions on how they want to do it …
Which produces way better results
He is buying the users that cursor had. But these users can switch to another AI harness any day they wanted to.
They have their own model called Composer that’s specialized for coding.
Personally, I think generic Opus 4.8 beats it, but it is quite cheap and fast. I used Composer via Cursor for a few months in late 2025. I hear they have improved the model somewhat since.
It’s fine-tuned Kimi 2.5
They didn’t train this up for themselves.
It’s an OK model that is fast and cheap. It outperforms other models of the same price class, but it’s nowhere near Frontier model capability.
They are also claiming to be training their own new model on SpaceX’s infrastructure. I don’t particularly trust them, but I’ll give the citation anyway just for additional info.
While it is nowhere near the value Elon paid. It is a tool for easy coding with ai. Like the others thousands that out there. I mean spacex buying companies left and right at prices that make no sense is weird. Spacex being valued that much when all they do is burn money at a rate of several states is confusing.
Elon getting richer by the second with all that nonsense is suspicious…
It’s probably gonna be fine, Elon is just doing what Grok tells him to at this point
Maybe he’s buying with overvalued useless SpaceX stock. SMH
Ding ding
Because all space companies need a social network and an ai coding company. It just makes sense. And your pension needs to buy this very logical company because it’s large enough to be in the index.
SpaceX is 80% an AI company. More now, after acquiring Cursor. The space stuff is only the reception desk.
SpaceX is an infrastructure company. Deeply dependent on government good will and contracts. It leases it’s data center compute to actual AI companies.
They aren’t deeply dependent on government contracts anymore. Starlink will be able to support them. Government good will, id say yes.
Starship is currently a money pit on the launch side, and will make or break that the company depending on if it works.
Its leasing excess capacity, but that might not always be the case, but IMO that business model is probably better than the selling an LLM model one, but if you run out of people willing to lease it, youre still left with a pile of hardware you gotta do something with.
If they stop leasing, xAI becomes a money pit too.
I agree. But suffice to say if NASA walks away from SpaceX because they fail to deliver, it’ll make an outsized dent to their perceived value.
For sure, if something happened and NASA walks away, or reduces their interactions with SpaceX that will have ripple effects beyond what they currently provide.
SpaceX is 100% a bullshit company. FTFY
This is the sort of comment where I wish Lemmy had the option to block everyone who upvoted it.
“We do social media, rockets, and AI” Yes this company is a very logical well thought out entity who’s losing $3 for every $1 we make. We are growing only at 33% a year, yet are valued at 25x other companies with better growth and actual strategies . If you believe this shit I’ve got a bridge to sell you.
The original Founders had a lot of good ideas and did a lot of hard work. Unfortunately they let a clown come in and take them over and turn everything into a circus. Where people can say that sort of thing 100% accurately now. Tesla and SpaceX are both punch lines realistically anymore as is Twitter.
This truly is the weirdest timeline. The only division of this shit company that brings in any money is the space and rockets division. However, the technology divisions are a money pit.
brings in any money is the space and rockets division
Not even that. Only StarLink brings in profit.
I’ve come to call it SpaceXitterAI
“Cursor, help me figure out why this request is failing with a CORS error.”
Thinking…
Reviewing sources…
- “Elon Musk on X”
- “Elon Musk Twitter acquisition” townhall recording
- “Programming best practices” and “Elon Musk”
Done.
It looks like everything needs to be thrown out and redone. The whole stack. It’s not good, it’s bloated, it was made by overpaid salary workers.
“What’s wrong with the stack?”
The whole stack. Just the stack. All of it.
Local coding LLMs are going to be the hot new commodity this year.
Harnesses for them is the key for me. Check out llama conductor
https://codeberg.org/BobbyLLM/llama-conductor
Smaller models being used more efficiently.
Already is, take a look at devstral, qwen3.6, deepseek coder. All can be run on a hugh end GPU and if you’re a developer you likely have one.
Why would a developer likely have a high end GPU? Writing code doesn’t use a GPU.
There is a significant overlap between developers and gamers.
Most developers use their work provided machines, which aren’t gaming machines with giant GPUs because again, GPUs don’t help development at all.
Also developers often want more ram, and if youre on the mac side, the M series ram works as video ram for loading and running models, so there’s a good chance you can already run something better than is typical of others, and apple is focusing on this by adding more NPUs and increasing memory bandwidth. They arent good at training, but can do inference.
I’m on a MacBook with M2, 32GB ram. Literally just tried:
- gemma4:12b - very slow, unworkable
- qwen3:8b - very slow, unworkable
- qwen2.5-coder:7b - slow but workable. Doesn’t use tools properly in OpenCode.
Well, I guess I’ll try again next year.
For context: my home pc is running gemma4:31b just fine. It’s also a beefy ass desktop, though.
You might be doing something wrong, models that size shouldn’t be that slow if properly configured on a 32gb m2
You need a metal optimized client and model, not the same models you’d run on your windows machine.
The vast majority of users ain’t running anything but 27b max, more likely 14b, and that shit just ain’t nearly as good as older saas models much less dominant like opus. Maybe for small shit but complex talks just ain’t fitting on home hardware.
Completely agree, I forgot to mention that part. I am testing a few models ranging from 18b to 26b on my 7900xt. It is far from “make this complete system”, but it can handle some smaller tasks. I think that will be the end goal anyway since cloud models fail a lot at maintainability, security, and other higher levels of thought that goes into coding. They can make a convincing prototype but I wouldn’t hook it up to production.
Local models are already functioning well as a force multiplier. It can help explain logic, do minor refactoring, debugging etc. but with a bit of latency. I do think this is where we’re headed since the frontier models required for generating a full prototype can’t make production quality code and it is prohibitively expensive to do so. As far as I’ve heard, they’re generally running spending ten times as much as they earn per token.
My guess is the next big thing to come out is, we can probably squeeze a lot more reliability out of smaller models. But their workflows, context, validations, etc will need to be very tightly optimized.
I can see harnesses coming with their own highly specialized lightweight models in the future. Some for very efficiently converting a basic prompt into chain-of-thought steps. Some for very efficiently determining relevant parts of a repository. Some for… a lot of highly specialized stuff. Then the harness would orchestrate these under the hood, reducing the cognitive load placed on any larger generalized LLMs. Those “larger generalized LLMs” could be something like 12b parameters.
Hopefully, soon after, we can start benchmarking how much different harnesses and augmentations improve baseline model performance. Ideally, in the long run, with a deeper understanding of how to tailor harness to workload and produce more procedural determinism. Then we can start configuring harnesses like data pipelines and run them through higher-level orchestration like Airflow too.
Sadly, that’s true
Tried to refactor a spaghetti code state machine and thought, well, AI should handle this well. All the logic is there, just separate it into small functions to clean up the large one.
None was able to, alone because of the context window already
To be fair though, I tried Mistral online and it also stumbled around. ChatGPT was a complete clusterfuck - haven’t tried Claude.
To be even fairer… it’s a really large state machine, which was written on site during a fever and in stress - so… To defend myself a bit as well, how it even came to that ;-)
But seems, I’ll need to go through this myself
Actually thought, that this would be a perfect example for using AI…Yeah LLM’s can help with many tasks but then there are times they just spout nonsense, or syntactically correct nonsense, the model size and context window just changes when they hit their limit.
Sometimes you have to call it quits, and try another way.
Wow, cursor costed more to Musk than twitter
Yet somehow less valuable. Isn’t it just a fork of VSCode with more AI tools built in?
Pretty much. And is getting its lunch eaten by the fact that people are using tools like Claude code and open code instead of vscode interfaces.
This is cursor cashing out on top before the fallout and Musk being stuck with the bag.
Yeah that’s hard for me to understand.
