I was skimming so maybe I missed it. But if this is just raw LLM output, I don't see the value.
I was skimming so maybe I missed it. But if this is just raw LLM output, I don't see the value.
This prompt to find contradictions was merely to see where the contradicting notes are, as a little toy experiment.
I still have to annotate this post as it allows me to see what I do and don’t agree with Claude on.
However, this half-baked “AI slop” post is making me reflect on my style of working with my site; it usually gets little traffic so I put whatever I want on there but clearly someone has it in their feed and posted one of the less interesting posts here IMHO.
The most interesting pattern is that your core tensions haven’t resolved - they’ve become more sophisticated. You’re still working through fundamental questions about individual agency vs. systems, risk-taking vs. institutional engagement, and autonomy vs. collaboration. But your framework for thinking about these tensions has become richer and more nuanced.
This suggests someone whose intellectual development is genuinely evolutionary rather than simply accumulative - you’re not just learning more facts, but developing better frameworks for holding contradictions productively.
It seems like the only insight Claude had was that "look at my vault and find contradictions in my thinking" is motivated by self-absorption, so it responded accordingly. It certainly had nothing intelligent to say about the actual subject matter!This is as much a surprise/shock to me as it is to you :D
As with a lot of things, it isn't the initial outlay, it's the maintenance costs. Terrestrial datacenters have parts fail and get replaced all the time. The mass analysis given here -- which appears quite good, at first glance -- doesn't including any mass, energy, or thermal system numbers for the infrastructure you would need to have to replace failed components.
As a first cut, this would require:
- an autonomous rendezvous and docking system
- a fully railed robotic system, e.g. some sort of robotic manipulator that can move along rails and reach every card in every server in the system, which usually means a system of relatively stiff rails running throughout the interior of the plant
- CPU, power, comms, and cooling to support the above
- importantly, the ability of the robotic servicing system toto replace itself. In other words, it would need to be at least two fault tolerant -- which usually means dual wound motors, redundant gears, redundant harness, redundant power, comms, and compute. Alternately, two or more independent robotic systems that are capable of not only replacing cards but also of replacing each other.
- regular launches containing replacement hardware
- ongoing ground support staff to deal with failures
The mass analysis also doesn't appear to include the massive number of heat pipes you would need to transfer the heat from the chips to the radiators. For an orbiting datacenter, that would probably be the single biggest mass allocation.
Don’t even get me started on the costs of maintenance. I am sweating bricks just thinking of the mission architecture for assembly and how the robotic system might actually look. Unless there’s a single 4 km long deployable array (of what width?), which would be ridiculous to imagine.
A Falcon Heavy launch is already under $100M, and in the $1400/kg range; Starship’s main purpose is to massively reduce launch costs, so $1000/kg is not optimistic at all and would be a failure. Their current target is $250/kg eventually once full reusability is in place.
Still far from the dream of $30/kg but not that far.
The original “white paper” [1] also does acknowledge that a separate launch is needed for the solar panels and radiators at a 1:1 ratio to the server launches, which is ignored here. I think the author leaned in a bit too much on their deep research AI assistant output.
I am apparently a different type of person than the author because my obsidian vaults look nothing like theirs, but I can't imagine asking an LLM for a meta-analysis of my writing. The whole point of organizing it with Obsidian is that I do that analysis myself - it is part and parcel of the organization itself.
The exercise is not meant to do much else but spot patters in my thinking that I can reflect on. Nothing particularly novel here from Claude but it is helpful, for me, to get external feedback.