MidTerm ... now with doom
run Codex/Claude/OpenCode/Gemini all Terminal apps in the world
in the browser but -> agents run on your hardware
you control it remotely (iPad, tv, pc, mac, Linux)
check it out it's your missing link in the your workflow
https://t.co/I0NqnQBTcW
Völlig falsche Betrachtung/Annahmen
Unterscheide erstmal Training und Inferenze.
Beim Training ist nicht der Up/Down link der Limitierende Faktor sondern die Vernetzung der Satteliten untereinander der über Laser Links (Glasfaser Niveau).
Wie lange der Upload der Trainingsdaten dauert ist (in Grenzen) egal. Die Entsprechenden Satteliten können dann auch in einem Hohen Orbit schweben weil auch Latenz zur Erde keine Rolle spielt.
Für Inferenz ist Latenz der Limitierende faktor. Die eigenntlichen Datenströme sind dann nur Prompts und output Tokens. State of the art bei OpenAi/Gemini sind 70-150 Token/s (was wenige kb pro sekunde entspricht) für jeden einzelnen Job.
Es muss nicht für jeden Inferenz Job das eigentliche Model hochgeladen werden sondern nur die Prompts (mit Document attachments). Das wäre für das Beam-Confinement was Starlink schafft (Kommunikation läuft über Starlink nicht direkt vom AI Sattelit zur Erde) kein Problem hundertausende Infernze Jobs ein einen Häuserblock zu beamen.
@levelsio@X Had the same issue (many month ago at a client of mine) I cycled the credentials (or even created the "app" again from scratch) then it worked again.
But I guess you tried that already.
@skdh Power costs rise exponentially on earth if data centers on earth buy the remaining capacity that cant grow at the same pace. Wich will result in slow permitting.
Space AI costs scale inversely (the more you deploy the cheaper it gets)
There is break even point.
at 100°C you need 1.45m2 of radiator to move a kW
just plug in the number of kW you need moved and you are done.
You are falling for the misconception of launch mass priorization. In the past when launch costs were much higher everything tended to be optimized for low heat output since radiators are the highest weight part and least functional item of space equipment.
For an AI sattelite its a central part of the design wich is easily tackled.
The whole "Cooling is hard in space"-idea stems from the misconception of launch cost and mass to orbit priority.
ISS for example had high launch cost so they sized their radiators very low so they were constantly budgeting heat ingress.
Now with lower launch cost, just strap on a bigger radiator and go.