Sam Altman Is Wrong About Local AI
Sam Altman Is Wrong About Local AI
Sam Altman thinks distributing AI across personal computers can be a poor use of the world’s limited hardware.
We think his argument misses the reason people want local AI in the first place.
People want intelligence they can use privately, affordably, and independently. They want their computer to work for them, without sending their documents, conversations, and ideas to someone else.
Local AI is about freedom.
What did Sam Altman actually say?
In his October 29, 2026 appearance on Cheeky Pint, OpenAI’s CEO discussed local AI with John Collison.
His argument concerned scarce computer memory. He described spreading that memory across people’s computers as “quite terrible” from a global resource allocation perspective, suggesting it might be used only 5% of the time. He argued that concentrating resources in the cloud allows higher utilization. You can watch the discussion around 29 minutes or read the transcript.
That is an argument about keeping hardware busy.
It does not answer why someone should send private work to a cloud provider when their own computer can handle it.
An interesting take from a company called OpenAI
When OpenAI introduced itself in 2015, it described AI as an extension of individual human will. It wanted intelligence distributed:
“in the spirit of liberty, as broadly and evenly distributed as possible.”
That is from OpenAI’s own founding announcement.
So there is something funny about hearing its CEO criticize the resources involved in putting AI directly into people’s hands.
Broadly distributed intelligence sounds wonderful. Apparently, putting some of it on computers people actually own makes the resource allocation less attractive.
To us, local AI is a very practical expression of that original ambition: useful intelligence that people can operate themselves.
Why choose local AI?
Because your files are yours. Because your work should remain available when the internet disappears. Because you should have a say in what changes.
A properly configured local AI setup gives you concrete benefits:
Privacy: your prompts and files can be processed on your device without being sent to an AI provider.
Offline access: once the software and model are downloaded, local tasks can run without an internet connection.
Independence from provider outages: a cloud service going down does not stop a model running on your computer.
Control over changes: with software that lets you keep your chosen model and manage updates, you can preserve your setup instead of depending on a model that changes on a remote server.
These are practical reasons to choose local AI, even when a cloud service could process the same request.
A private contract should not need to leave your computer just so you can ask a question about it.
Your computer does not need to justify itself to a data centre
A laptop already serves many purposes. You use it to write, edit photographs, manage files, build things, and communicate. Running AI adds another use to hardware you may already own.
Its memory does not become wasted simply because an AI model is not using it all day.
Shared infrastructure can use hardware efficiently. But utilization alone does not measure the value of privacy, availability, or personal control.
Your computer is allowed to be useful to you without being busy every second.
Can local AI make intelligence more affordable?
Yes, especially when you already own a computer capable of running the model you need.
Local processing does not generate a cloud provider’s bill for every question. With suitable freely available models and software, you can keep working without buying another bundle of requests.
Hardware and electricity still cost money. Some tasks also need more powerful models than your computer can run. But many everyday tasks do not require the largest model available.
Finding a document, searching photographs, summarizing notes, or working with private files can be valuable without requiring a permanent connection to a distant server.
We want a future where useful intelligence is affordable and widely accessible. Local models give people another way to get there, with more control over the cost and their data.
Why Fenn uses local AI by default
This is why we build Fenn around AI that runs on your Mac.
Fenn helps you find documents, images, recordings, and things you remember seeing or hearing. Its default AI processing happens locally, and your file index stays on your Mac or the storage you choose.
Cloud models are optional. Sending relevant content to an external AI provider requires you to explicitly choose that provider. You can read how Fenn handles local and cloud AI.
You can also test local operation yourself: download the required models, make your files available locally, disconnect Wi-Fi, and use Fenn’s local search and AI features.
For us, that is the future worth building: freedom, privacy, and affordable intelligence on hardware you control.
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