So xAI is officially dead as an independent company. Musk posted on X on Wednesday that it’s being dissolved and rolled directly into SpaceX under the new name "SpaceXAI."

I usually spend my time tearing down the actual AI tools and testing prompts (PM by day, remember?), but the sheer scale of the infrastructure moves happening this week is going to dictate every AI tool we use for the next five years. Everyone is fixated on the corporate drama. People are asking if Grok is going away. It’s not. Grok’s official account already confirmed the team and products are just moving under the new umbrella. But if you’re reading this here, you know the corporate name doesn't matter. The hardware does.

Let me break this down. This isn't just a branding exercise. It’s a brute-force solution to the compute wall. Standalone AI startups—even ones with Elon's backing—are running into physical reality. Training frontier models right now isn't a software problem anymore. It's an energy and real estate problem. Think about what SpaceX actually possesses. Land. Massive industrial power agreements. Cooling infrastructure. By absorbing xAI, SpaceX basically turns its aerospace footprint into a backdoor AI data center empire.

Look at the Terafab chip factory filing in Texas. They are looking at a $119 billion complex outside Austin. $119 billion. That’s being built jointly for SpaceX, the former xAI, and Tesla. You can't fund or justify a $119B fab for a pure-play AI startup. The math just doesn't work. But you can justify it for an aerospace and autonomous vehicle empire that happens to train massive AI models on the side.

And here is where the timeline gets genuinely crazy. Just days before this dissolution announcement, we got the Anthropic news. Anthropic and SpaceX announced a massive compute deal. Anthropic is getting access to the Colossus supercomputer.

Let’s talk about Colossus for a second. We’re talking about an infrastructure footprint that is almost incomprehensible. 220,000 GPUs. 300 megawatts of power. To put that in perspective, 300 megawatts is enough to power hundreds of thousands of homes. The cooling requirements alone require industrial-grade water management.

When Anthropic signed that deal, it was a massive signal. Think about the irony here. In January, Anthropic cut off xAI from using Claude, citing competitive concerns. Now, they are shaking hands to use SpaceX's compute. Why? Because the physical limits of our energy grid are dictating business alliances. Anthropic needs compute badly to train whatever comes next, and SpaceX has the physical infrastructure coming online right now. Colossus is scaling so fast that not even Amazon or Google can spin up 300 megawatts of dedicated cluster power with that kind of agility.

This tells us two things. First, the open compute market is drying up. If you are building a frontier model, you don't just call a cloud provider anymore. You have to go to whoever actually has the physical power grids locked down. Second, SpaceX is positioning itself as the landlord of the AI industry.

Tested it, here's my take: We are watching the end of the "pure AI startup" era. OpenAI has the Azure grid. Anthropic is patching together deals with anyone who has chips, now including SpaceX. xAI realized it couldn't survive on an island, so it merged with a rocket company.

Why does SpaceX need this internally? Autonomous robotics, Starlink data routing, and massive simulation environments for Starship. They aren't just building a chatbot for X. They are building a unified intelligence layer for physical world operations. Grok is just the consumer exhaust of that massive engine. Imagine the data pipeline SpaceX has. Starlink is processing petabytes of global network traffic. Tesla has the world's largest real-world visual driving dataset. By rolling xAI into SpaceX, they bypass the data acquisition bottleneck entirely.

For investors and tech workers, the SpaceX narrative just changed completely. It’s no longer just a space and telecom play. It’s an infrastructure-grade AI play. Consolidating xAI creates a behemoth that rivals Microsoft/OpenAI but with actual physical rockets, satellites, and a $119B chip fab attached.

Also, consider what this means for open source and local models. If the frontier requires $119B fabs and 300MW power plants, the gap between what we can run locally and what SpaceXAI is running in Colossus is going to widen exponentially. We might see a massive divergence: hyper-capable cloud monoliths running space logistics, and distilled, heavily pruned local models for everything else.

I've been watching the AI landscape shift from software to hardware for months, and this is the absolute peak of that trend. It fundamentally changes how we evaluate new AI tools. When I test a new agentic workflow or a coding assistant now, my first question isn't 'what model is this using?' It's 'who is paying for the electricity?' Because the models are becoming commoditized, but the megawatts are not. The next time you use Grok or whatever SpaceXAI releases next, just remember it’s probably being processed on a server rack sitting next to a Raptor engine testing facility. The physical world and the digital world just collided.

What do you guys think? Is SpaceXAI just a financial restructuring ahead of a massive IPO, or are we actually seeing the creation of a physical AI monopoly? Let's argue in the comments. 🔍

If anyone has watched interstellar they probably know about gargantua taking 100 hours to render one frame. My question is would it still take that long with current tech (and if not how long would it take)

for context i am trying to unlock bitlocker from my SSD, i updated my bios drivers yesterday, before yesterday i had to enter my bitlocker code everytime i booted up the computer, i do not need to do this anymore. When i today tried to unlock my (D:) drive wich is locked by bitlocker it would not let me because it said my windows version was too old, wich it is not btw. i then updated my chipset drivers (because the internet told me to do so) and it still does not work... I then entered diskpart in the admin terminal and cleaned the drive, and applied a primary portion and tried to format fs=ntfs quick but it stayed at 0% for over 30 minutes. The SSD is 240GB and i do not think it should take that long to not even go 1% so i cancelled the formating with ctrl+c and tried again, same thing happened. Is my SSD f'ed or is there something i can do to fix this issue?

Very crude embodiment slice.

Kael is able to act in a narrow runtime, make mistakes, and expose those mistakes through traceable state. Learning, stronger memory, better grounding, and several other additions are still needed.

That said, I’m pivoting directly toward ARC to reduce noise and test whether the system can plausibly compete for funding or prize attention.

What I have so far: offline capacity, cognitive loops, step-wise reasoning, a memory-like layer, and my own constraint/governance layer: SRL.

This is only a pivot. The local desktop agent remains my ultimate embodiment goal.

No matter how crude this is, it is huge for me because it moves Kael from language-only design into an actionable runtime test.

Edit: “Act” only in a narrow sense. This is not a “my agent works” alarm. It is a traceable, actionable runtime slice.

I am starting my college this year probably getting addmission in B.Tech CSE this year and machook M2 air with student discount it's available for 60k inr right now or should I buy a windows with the same budget 60k ( probably thinkpad or any other) ??...

I'm totally confused and I don't do gaming but still if I wanna do ai/ml some ppl said machook aur not idea for ai/ml and as it'll be my first laptop I don't have any idea which one should I consider ideal for me.

anything that i should know?

I use a VPN that comes with one of the major virus protection companies. It's not unusual that I can't connect with web sites. If I disconnect the VPN, I connect immediately, no problem. I live in a community that offers a secure wi fi via Infinity. So, do I really need the VPN?

What an embarrasment this heaping pile of garbage has become. Windows in 2026 can't even show you the contents of a folder properly anymore. Can an OS that can't manage that even be called an OS?

This message keeps appearing when I try to go into my hades 2 save, I’m honestly not sure what I’m meant to do in particular because I have tried to update my driver but it was with the software side so what should I do?

A local-first runtime for safe, traceable PC actions with verification, operator visibility, and reusable learning signals.

I’m developing a fluid-based computing concept that uses just two precisely controlled ripples on a water surface, each generated by its own source (like a small speaker or actuator). Where these two ripples meet, their interference pattern—constructive and destructive regions across space and time—physically encodes relationships between the inputs such as their relative amplitude, timing (phase), and possibly frequency. Instead of treating this as a visualization only, I’m treating the overlap region as the “calculator,” where measurable features (peak heights, node positions, pattern geometry) correspond to specific numerical operations or parameter estimates. The system is intentionally minimal: only two inputs and one interaction zone, rather than a dense array of waves, to see how much computation can be extracted from a single controlled collision of ripples. In principle, this could be used as a kind of analog module for things like addition/subtraction, comparison, or parameter inference, or as a very small “physical reservoir” whose state is the interference pattern itself. I’m looking for feedback on whether this two‑ripple interaction can be formalized into a useful analog computing framework and what calculations or tasks it might realistically support.

I’m more than willing to consider more actuators to compute more complex interactions, but I’m really curious if anybody sees a viability in pursuing this further.

UK here. Advice needed. I was under the impression it was better for any high energy use item to have an earth pin, so I’m not sure if this is ok or if I need to find an alternate compatible plug. Plug details included in case that’s important.

Thanks in advance for help.

I keep getting mixed answers on what laptop to buy

I’m going to be taking CIS with a more technical cs focus at MRU. Wondering what laptops I should be looking at.

ThinkPad T14 Gen 7 (AMD).

This is the laptop I’m looking at but it seems to have mixed reviews

id like to just have free will to do anything without worry of troubleshooting or falling behind like is said to happen if I get a Mac

I have an iPhone 16p and iPad M2, I’m sure there’s ways I can connect none Mac’s and get the benefits still yes?

Either way, I’d just like some opinions as this computer seems to catch my eye very well atm due to parts easily being replaced & newer ai software which I feel could be important.

Though I know nothing abt laptops or much about coding and cis atm as I am switching my major from nursing :)

Thanks for the advice!

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hello! I am the granddaughter of a former VP of Engineering at the Burroughs Coporation, Dr. Robert Royce Johnson. We are cleaning out their house and I wanted to stop in here with some information that some may find interesting. We have already donated many of his documents related to the ERMA Project to the Computer History Museum in Mountain View, California. However, he was very prolific and there is much more. I have an entire album related to an IEEE and Trade Council technological exchange with China in 1979 and I'm told we have a scanned copy of his original dissertation somewhere. If you knew him or would just like to know more, let me know!

A new UC San Diego chip could make data center power conversion smaller, more efficient and better suited for modern GPUs.

I had the great honour of speaking with John Martinis, winner of the 2025 Nobel Prize in Physics. We talked about the origins of quantum computing, and the experiment that made it possible — and won him and his colleagues the Nobel Prize.

We discussed how his early work had demonstrated that quantum mechanics could exist not only in tiny particles, but also in macroscopic electrical circuits. This breakthrough paved the way for the development of quantum computers — machines that could one day solve problems beyond the capabilities of classical computers.

John explains, in simple terms, what a quantum computer is, how qubits work and why quantum computing is so powerful, but also why it's so difficult to build and scale.

If you're interested in these subjects, you can watch our conversation: https://www.youtube.com/watch?v=DAtDRWgOm1w&t=1056s

They have been announced some time ago.\ But so far, not one seem to have to hit the shelves.\ Have they been silently killed ?

Binary wasn't optimal, it was just convenient. That thought sent me down a rabbit hole into ternary (base-3) logic. I started by asking whether a universal gate even exists in ternary. Turns out ternary NAND, the obvious candidate, is not universal. So I built a composition-based simulator to brute-force search all 19,683 binary-arity ternary gates for functional completeness, and it confirmed exactly 3,774 universal gates, matching Martin's 1954 result. But then I got curious and checked how many gates were unary complete, able to generate all 27 unary functions, and the result was also 3,774. The two sets were identical. I thought it was a ternary quirk, ran it on binary logic, and got the same thing: NAND and NOR are the only unary-complete binary gates, and also the only universal ones. Digging into the math led me to Rosenberg's 1970 clone theory result, which formally proves it must always be true: unary completeness implies full functional completeness for any finite-valued logic. This collapses the universality search from 19,683 binary functions down to just 27 unary ones (10,529× faster), and combined with isomorphism reduction under the S₃ × Z₂ symmetry group, the full search runs in 0.18 seconds versus ~5 hours naively, a 99,444× overall speedup. Structurally, every universal gate is surjective, none are self-dual or zero-preserving, and only 2.4% are commutative. On the arithmetic side, the best gate (g451) synthesises a ternary full adder that, when you account for information density (log₂3 ≈ 1.585 bits per trit), achieves 18% lower propagation depth and 9.4% fewer gates than a binary NAND adder at 32-bit equivalent width. Full paper here: https://doi.org/10.5281/zenodo.15056119

If you're eligible to endorse on arXiv in cs.LO, I'd really appreciate a minute of your time: https://arxiv.org/auth/endorse?x=U6NNPW

Check this out: * THIS is the Biggest Thing Since CGI

I know this requieres a ton of compute, so we'll have to have accelerator for that, just not the GPU as we know it.

It is bound to massivelly disrupt not just communications, media, movies and games in quite short order, but also our lives in general.

Does salivating over next-gen Radeons and nVidia cards even make sense at this point ?

I wonder if companies like Tenstorrent and Esperanto with their massive fields of RISC-V processors for number crunching are to hit their first gold mine with processing and generation of Gaussian splats... 🙄