Dead Comment
As the hardware continues to iterate at a rapid pace, anything you pick up second-hand will still deprecate at that pace, making any real investment in hardware unjustifiable.
Coupled with the dramatically inferior performance of the weights you would be running in a local environment, it's just not worth it.
I expect this will change in the future, and am excited to invest in a local inference stack when the weights become available. Until then, you're idling a relatively expensive, rapidly depreciating asset.
If Cloud LLMs have 10 IQ points > local LLM, within a month, you'll notice you'll be struggling behind the dude who just used Cloud LLM.
LocalLlama is for hobbies or your job depends on running locallama.
This is not one-time upfront setup cost vs payoff later tradeoff. It is a tradeoff you are making every query which compounds pretty quickly.
Edit : I expect nothing better than downvotes from this crowd. How HN has fallen on AI will be a case study for the ages
Is Google using this tool internally? One would expect them to give some examples of how it's helping internal teams accelerate or solve more challenging problems, if they were eating their own dogfood.
The fact that none of the companies can do it, means WFH is a massive productivity failure. The reasons are aplenty
- Self-Reporting Employees or Researchers simply can't measure productivity that matters.
- WFH research is typically done and funded by WFH-friendly entities skewing it's benefits. There are no neutral social science research.
- Startups, which are a better unbiased WFO/WFH study (because all startups have the same starting conditions allowing us to control more variables), clearly show that teams (both technical and sales) sitting in room can crush/outrun Startups that are remote-only.
- Productivity measures done by these studies are almost always individual, but team productivity and firm productivity are emergent properties and hard to measure
That being said, obviously the Librem phone is missing functionality.
Most computer users are goo goo ga ga level users. Most people in the US use iMessage, for example.
It's not the best messenger, not even close. It's not the most ubiquitous either - doesn't even break top 5 globally. Doesn't have the most features. Not the fastest. Not the most secure. Not the easiest to use.
They just use it because it's already installed and right there. That is how deep their understanding and comprehension can go.
Similar to the invention of the web, AI is not a bubble. Real value has been created.
I'm pretty sure many internet companies would be given a longer rope to survive now. E.g OpenAI and Anthropic will probably take years to get profitable but investors are OK with it
Sums up western workforce attitude and why immigrants continue to crush them
https://www.theguardian.com/world/2025/aug/06/microsoft-isra...