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Local AI needs to be the norm

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Why This Matters

This article emphasizes the importance of adopting local AI solutions over cloud-dependent models to enhance software reliability, privacy, and simplicity. As AI integration becomes more prevalent, prioritizing on-device processing can lead to more resilient and privacy-conscious applications, benefiting both developers and users.

Key Takeaways

Local AI Needs to be the Norm .

One of the current trends in modern software is for developers to slap an API call to OpenAI or Anthropic for features within their app. Reasonable people can quibble with whether those features are actually bringing value to users, but what I want to discuss is the fundamental concept of taking on a dependency to a cloud hosted AI model for applications.

This laziness is creating a generation of software that is fragile, invades your privacy, and fundamentally broken. We are building applications that stop working the moment the server crashes or a credit card expires.

We need to return to a habit of building software where our local devices do the work. The silicon in our pocket is mind bogglingly faster than what was available a decade ago. It has a dedicated Neural Engine sitting there, mostly idle, while we wait for a JSON response from a server farm in Virginia. That’s ridiculous.

Even if your intentions are pure, the moment you stream user content to a third party AI provider, you’ve changed the nature of your product. You now have data retention questions and all the baggage that comes with that (consent, audit, breach, government request, training, etc.)

On top of that you also substantially complicated your stack because your feature now depends on network conditions, external vendor uptime, rate limits, account billing, and your own backend health.

Congratulations! You took a UX feature and turned it into a distributed system that costs you money.

If the feature can be done locally, opting into this mess is self inflicted damage.

“AI everywhere” is not the goal. Useful software is the goal.

Concrete Example: Brutalist Report’s On-Device Summaries

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