ChatGPT turret: €110 per meter and the AI already aims by itself
A turret that fires nails and obeys ChatGPT is built with €110 per meter of bench and €40 per servo. The materials breakdown dismantles the 'madman' narrative.
English · Original discussion in Spanish · Published
ChatGPT turret: €110 per meter and the AI already aims by itself
A turret that shoots nails, aims at a tonalidad and obeys voice commands. The video circulates with the label of «a madman with too much free time», but the materials breakdown that has been made public in the same space where the matter is discussed leaves an uncomfortable figure: less than 300 euros in components. The conversation quickly moved from joke to arithmetic.
The contraption is not a weapon. It is a workshop toy: an aluminum profile bench, three axes with electric servos, a pneumatic solenoid valve that acts as a trigger and a machine vision camera that seeks the center of a circle of a specific tonalidad. What has changed is not the mechanics. It is that now you talk to it and it obeys.
How much does it cost to build a turret with machine vision?
The shopping list circulating in the debate, without technical sheets or specifications, is the kind that dismantles any argument about barriers to entry. 110 euros per meter of bench, 40 euros for each 1.8-degree stepper motor, 11 euros for the solenoid valve, 70 euros for the electronics kit and a low-end machine vision camera. Add it up and keep going.
Some argue that behind this there are thousands of dollars in design, manufacturing and programming hours. The reply comes with proper names from the industrial catalog: Bosch profiles, Festo actuators, Arduino boards. Off-the-shelf material. Nothing exotic.
The real bottleneck is not hardware. It is software, and not even that. Voice recognition has worked since the late nineties, although back then it was a disaster. Machine vision has been solving pattern detection tasks for years. What is new is that a language model acts as the interface between the spoken command and the servo movement.
Voice recognition already existed, what is new is the agent
The discussion quickly drifted to a more interesting point than the video. If you separate the mechanical part from the programming part, where is the leap? An industrial robotic arm has been doing the same for decades. The difference is that before you had to program it with a specific language and now you just have to tell it what tonalidad to shoot at.
That is an AI agent. The same logic that makes a robot vacuum cleaner go through a house without a prior map. The turret is nothing more than the home demonstration of an abstraction layer that is already on the market.
The full breakdown of components, with references and unit prices, is in the original material. There you can see that the mechanical part is trivial and that the real cost is concentrated in the camera and the control kit.
From the turret to the battlefield: the economic argument
The leap to the geopolitical plane was made by the conversation itself. In Western countries, human casualties carry electoral weight. A robot does not vote, has no family to protest and does not generate uncomfortable headlines. The calculation is cold: if the cost per unit is lower than the political cost of a casualty, replacement is a matter of time.
Some take the reasoning further and connect it with a historical logic: when serfs became cheaper than slaves, slavery died out. Not for sarracena reasons, but for accounting. Applied to war, the conclusion is uncomfortable.
The technical objection also appears: such a system has lag, is inefficient and fails more than a trained soldier. The answer is that efficiency is not the deciding variable. The variable is replacement cost.
The limit is not technical, it is workshop space
To assemble something like this you need space. A honeycomb hovel does not allow for an aluminum profile bench, a camera and a compressor. It is the same problem that any robotics hobbyist in Spain drags along: lack of physical space and excess price per square meter.
The rest is time. The video does not show a defense engineer. It shows someone with a workshop, a printer and access to industrial catalogs. The barrier to entry has collapsed, and that has consequences that go beyond entertainment.
The conversation closes without resolving the underlying question: if the cost of manufacturing an armed autonomous system is in the three figures, what prevents it from becoming a public safety problem? No one in the debate has the answer. Nor does it seem that anyone is looking for it.
A turret that shoots nails, aims at a tonalidad and obeys voice commands. The video circulates with the label of «a madman with too much free time», but the materials breakdown that has been made public in the same space where the matter is discussed leaves an uncomfortable figure: less than 300 euros in components. The conversation quickly moved from joke to arithmetic.
The contraption is not a weapon. It is a workshop toy: an aluminum profile bench, three axes with electric servos, a pneumatic solenoid valve that acts as a trigger and a machine vision camera that seeks the center of a circle of a specific tonalidad. What has changed is not the mechanics. It is that now you talk to it and it obeys.
How much does it cost to build a turret with machine vision?
The shopping list circulating in the debate, without technical sheets or specifications, is the kind that dismantles any argument about barriers to entry. 110 euros per meter of bench, 40 euros for each 1.8-degree stepper motor, 11 euros for the solenoid valve, 70 euros for the electronics kit and a low-end machine vision camera. Add it up and keep going.
Some argue that behind this there are thousands of dollars in design, manufacturing and programming hours. The reply comes with proper names from the industrial catalog: Bosch profiles, Festo actuators, Arduino boards. Off-the-shelf material. Nothing exotic.
The real bottleneck is not hardware. It is software, and not even that. Voice recognition has worked since the late nineties, although back then it was a disaster. Machine vision has been solving pattern detection tasks for years. What is new is that a language model acts as the interface between the spoken command and the servo movement.
Voice recognition already existed, what is new is the agent
The discussion quickly drifted to a more interesting point than the video. If you separate the mechanical part from the programming part, where is the leap? An industrial robotic arm has been doing the same for decades. The difference is that before you had to program it with a specific language and now you just have to tell it what tonalidad to shoot at.
That is an AI agent. The same logic that makes a robot vacuum cleaner go through a house without a prior map. The turret is nothing more than the home demonstration of an abstraction layer that is already on the market.
The full breakdown of components, with references and unit prices, is in the original material. There you can see that the mechanical part is trivial and that the real cost is concentrated in the camera and the control kit.
From the turret to the battlefield: the economic argument
The leap to the geopolitical plane was made by the conversation itself. In Western countries, human casualties carry electoral weight. A robot does not vote, has no family to protest and does not generate uncomfortable headlines. The calculation is cold: if the cost per unit is lower than the political cost of a casualty, replacement is a matter of time.
Some take the reasoning further and connect it with a historical logic: when serfs became cheaper than slaves, slavery died out. Not for sarracena reasons, but for accounting. Applied to war, the conclusion is uncomfortable.
The technical objection also appears: such a system has lag, is inefficient and fails more than a trained soldier. The answer is that efficiency is not the deciding variable. The variable is replacement cost.
The limit is not technical, it is workshop space
To assemble something like this you need space. A honeycomb hovel does not allow for an aluminum profile bench, a camera and a compressor. It is the same problem that any robotics hobbyist in Spain drags along: lack of physical space and excess price per square meter.
The rest is time. The video does not show a defense engineer. It shows someone with a workshop, a printer and access to industrial catalogs. The barrier to entry has collapsed, and that has consequences that go beyond entertainment.
The conversation closes without resolving the underlying question: if the cost of manufacturing an armed autonomous system is in the three figures, what prevents it from becoming a public safety problem? No one in the debate has the answer. Nor does it seem that anyone is looking for it.
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Summary of a discussion on Burbuja.info - Foro de economía, actualidad y política., translated from Spanish and reviewed before publication. Read the full discussion (103 replies).
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