Open Source Datacenters Will Undo Self-Inflicted DC Damage
Open source datacenters and open source thinking will undo self-inflicted DC damage, argues this opinion column on transparency.
Open Source Datacenters and the Trust Gap
Open source datacenters sound like a contradiction. That's it. In an industry built on paranoia and concealment, where the bit barn barons have spent years treating public concern as noise and dismissing anyone who questioned their methods, that contradiction is exactly the argument now being made. And it deserves a hearing. The bill for that arrogance is coming due.
Big boxes of semi-sentient sand. The industry's datacenters are increasingly seen as satanic sandcastles, cast as environmental disasters that inflict drought while boiling oceans, and their role as dark cathedrals of demonic AIs has done nothing to soften attitudes. A new contract of candour is needed. It's needed between those who build datacenters and those who despise them. But shrugging off concerns, or offering shiny misdirections with no intent of following through, no longer works.
Nobody Trusts the Energy Numbers
Take energy. Without numbers that can be trusted, it is impossible to judge the environmental effect of using datacenters. How much energy does it take to ask Claude to write a limerick or a database? Who knows. There are wildly differing estimates, but nothing reliable enough to inform personal choices or public policy on ethical use.
We need to know this. Not just in broad terms, but with enough accuracy and currency to differentiate between models and hardware generations. The only source of data good enough for this purpose is the datacenter operator. And without that cooperation, nobody is going to believe that anything other than a mad dash for gigawatts at any cost is powering build-out decisions.
Given projects such as Musk's xAI Colossus clusters in the Deep South, energized by methane-burning turbines installed with scant regard for regulatory permission, the industry can hardly expect the benefit of the doubt. Lots of lawsuits, though.
Nuclear Promises and Other Distractions
Then there is the tendency to wave at future nuclear power, and even fusion, as though it excuses burning hydrocarbons today. Nuclear power may eventually shoulder some of the load, but many of the projects now being promoted will not deliver electricity for years. Fusion will be outperformed by slide rules for longer still. This is not an answer to the immediate consequences of the build-out.

Meanwhile, we have had pious platitudes that AI is going to get so good it will design itself out of environmental damage. Seen much sign of that lately?
The Marine Datacenter Nobody Is Watching
Then there is the sector's on-off involvement with genuine innovation. Take the possibilities of marine datacenters powered by tidal and wave generators. The oceans offer abundant cooling and energy, with the tides driven by the gravitational interaction of the Earth, Moon, and Sun. Tidal power in particular is cosmically reliable. We know what the tides will be doing hundreds of years in advance.
Seawater is corrosive. It's full of jellyfish. It's not an ideal coolant. But marine engineers have spent more than a century learning how to work around such problems, which is a long time to spend on a fluid that eats metal and clogs pipes with stinging creatures. As for wave power, there is a lot going on below the radar. And don't wait to hear about it from the big guys.
Panthalassa builds wave generators. They look like Discovery One. You know, the spaceship from 2001: A Space Odyssey, home to the most famously insane AI in fiction, and the resemblance is both disturbing and fitting. The 85-metre structure floats vertically, with a spherical section bobbing at the surface and a long tubular tail extending down through the water column. Wave motion forces internally recirculated water through a turbine. That generates electricity. And it's for AI hardware inside a sealed, seawater-cooled container.
It is designed to operate without anchors, subsea cables or a physical connection to land, avoiding some of the complexity of conventional offshore energy projects. As part of a floating datacenter, it is envisioned that connectivity would be via satellites. Given that orbital networks spend so much of their time over the open oceans populated by sea life notoriously reluctant to spend money on connectivity, this is no bad idea.
Floating data farms could be towed for maintenance or replacement. They wouldn't be launched into orbit and abandoned. So this is a saner idea. In every way, it beats orbiting datacenters, because an industry that saw itself as compatible with humans would be pushing harder at floating on water than floating in space, and it's not doing that. We've got a choice here. And they're ignoring it.
A Local Target for Local Anger
It is not. Instead, it is operating on the edge of sanity, planning orgasmic overspend on throwing up as much infrastructure as it can as fast as it can, while uttering piteous "stop us before we kill again" pleadings as it struggles to deal with what it has become.
This toxic mix of uncontrolled spending, buyer's remorse, misdirection, and HAL 9000 levels of non-alignment with keeping people alive is sharpening concern about environmental damage into activism. By the time the fossil fuel industry was firmly established in the public consciousness as a principal cause of climate change, it had a century of inertia behind it and was woven deeply into the global economy. AI is still groggily emerging from the egg, and it is vulnerable.
While it is hard to turn misgivings into action against the global services and strategies of big AI, datacenters are local and vulnerable to local people and local politics. For anyone organizing opposition to AI amid dysfunctional national leadership, datacenters offer an obvious local target.
Honesty Builds What Rare Earth Cannot
For all the cack-handedness of the industry in perceiving this as a threat, let alone the actual responsibilities in force-feeding a trillion-dollar build-out into the ecosystem, some of us still want long-term, sustainable progress in more and better datacenters supporting more and better computational amplification of human potential. What is happening now is not the way to get there.
Among its very many other benefits, openness builds honesty, and honesty builds trust, and that more than any rare earth or process tweak is the element the AI industry needs most right now.
Inasmuch as there is a datacenter culture, and there is, you could get everyone who makes the decisions that matter into a medium-sized Comic-Con. That culture needs to adopt radical openness. An open source datacenter is hard to imagine in an industry devoted to hiding its paranoia behind deception, but the same could be said of the mid-90s software sector.
By laying open the calculations and structure behind datacenter engineering, and being open about the decisions shaping the future, more and better options will appear. Participation makes allies. Exclusion makes enemies. On current evidence, the enemies are growing fast.
The choice is not complicated. Get open, get honest, or go home.
- Trusted energy data must come from operators, not estimates.
- Nuclear and fusion promises do not excuse today's hydrocarbon burn.
- Marine datacenters backed by tidal and wave power remain a serious, underreported option.
- Open source datacenters could convert local opposition into local allies.
Frequently Asked Questions
Why is it impossible to judge the environmental effect of using datacenters, according to the article?
The article states that without numbers that can be trusted, it is impossible to judge the environmental effect of using datacenters. It notes there are wildly differing estimates for how much energy it takes to ask Claude to write a limerick or a database, but nothing reliable enough to inform personal choices or public policy on ethical use.
Who is the only source of data good enough to provide trusted energy numbers, and why does that matter?
The article says the only source of data good enough for this purpose is the datacenter operator. Without that cooperation, nobody is going to believe that anything other than a mad dash for gigawatts at any cost is powering build-out decisions.
How does the article respond to the industry's tendency to point at future nuclear and fusion power?
The article says nuclear power may eventually shoulder some of the load, but many of the projects now being promoted will not deliver electricity for years, and fusion will be outperformed by slide rules for longer still. It concludes this is not an answer to the immediate consequences of the build-out.
What is described about the Panthalassa wave generator and its use in a floating datacenter?
The 85-metre structure floats vertically, with a spherical section bobbing at the surface and a long tubular tail extending down through the water column, and wave motion forces internally recirculated water through a turbine to generate electricity. It is for AI hardware inside a sealed, seawater-cooled container, designed to operate without anchors, subsea cables, or a physical connection to land, with connectivity envisioned via satellites.
Why does the article claim datacenters offer an obvious local target for opposition to AI, and what does it say openness could achieve?
The article states that while it is hard to turn misgivings into action against the global services and strategies of big AI, datacenters are local and vulnerable to local people and local politics. It adds that by laying open the calculations and structure behind datacenter engineering and being open about the decisions shaping the future, more and better options will appear, and open source datacenters could convert local opposition into local allies.
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