meta_ai_x
Joined 1 year ago
Joined 1 year ago
Remember HN is mocking the capability/technology itself not the ability of specific firms to survive.
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
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
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
Delusional to apply this to top operators (and at the same breath complain about Rich getting Richer)
In fact, there are no other organizations in this world that is well suited to leverage scaled intelligence than Silicon Valley and great American companies