[vanviegen]

> In the long term, I think models are going to be local-first.

Why? There's an inherent efficiency advantage to scale, while the only real advantage for local models (privacy/secrecy) hasn't proven convincing for broader IT either.

[solid_fuel]

Local first models aren't just more private than the API vendors, they also have the advantages of fixed cost, lower latency, and better stability - local models don't get nerfed/"updated" in the background like chatgpt does.

Maybe in a world where these AI companies behaved with some semblance of ethics and user-friendliness they would be on even ground, but for anyone paying attention local models are obviously the future.

[still_grokking]

> the only real advantage for local models (privacy/secrecy) hasn't proven convincing for broader IT either

Because of nonexistent regulation. Just wait for it…

The legal situation in for example the EU is crystal clear, only that it will take some time to go though all court instances.

[2ndorderthought]

It's foolish not to care about privacy especially as a company. You know how it prevents you from emailing yourself your tax documents? Meanwhile thousands of employees are sending literal design docs, software, product goals, etc to several ai third partys. Not only is that insane, the companies they are sending it too intend too and openly admit to scanning the data, make software products themselves, and intend to create models that can produce their products automatically.

The reason local models hasn't caught on is several fold. It's marketing to say your company follows the latest trend, and there's an inherent pressure to keep AI companies afloat so the economy doesn't entirely collapse. The other is, it wasn't until the last month that these models have caught up to frontier models. They just did, and they are more efficient and don't require a team of 500 to deploy.

[LtWorf]

To not depend on an external company that can decide the price.

[Dylan16807]

That's a silly reason. For non-agent use cases what kind of utilization are you going to average on your own GPU, 5-10%? And that's without batching.

Even with overhead and scaling for peak use and a large profit margin, any company with an ounce of competition will be vastly cheaper than self-hosting. And for models you can run yourself, there will be plenty of competition.

[LtWorf]

I think you are calculating with current prices. Try to extrapolate the price in one year, seeing the current trends instead.

[Dylan16807]

The models I could reasonably run at home aren't experiencing big price hikes, as far as I'm aware.

Price is a reason to escape many proprietary models, but not so much a reason to self host. Buying an expensive GPU mostly for AI purposes is not likely to save money unless you load it all day long.

[vanviegen]

Extrapolating current trends, I expect API prices to drop significantly for a given measure of 'intelligence'.