h6d_100c

11 ms·

1.
by h6d_100c 3mo ago
Yeah; not my smartest decision given their ongoing “issues”
2.
by h6d_100c 3mo ago
Errr I at least thought it would be easier to build a small, bad rocket than a precision GPS receiver. But I am not an expert.
3.
by h6d_100c 3mo ago
Well they did tell everyone explicitly and sell it as different SKUs. There's no Fable (Full ML) edition, just silent prompt injection.
4.
by h6d_100c 3mo ago
To late. I canceled my Max subscription. The idea they would even do this is so destroyed any remaining trust. Why would I pay them 1000s of dollars in extra usage per month for something they could still be doing behind the scenes? Any err
5.
by h6d_100c 3mo ago
Yep a totally different use case and set of guardrails. There’s very little (not zero) consumer utility in GPS above say 15k feet AND 400 MPH or whatever the actual limit is. That’s basically tracking model rockets that are incidentally imp
6.
by h6d_100c 3mo ago
Or if GPU companies detected you were trying to train a model and injected intentional numerical errors.
7.
by h6d_100c 6mo ago
This makes it extra silly to trust that Github won't train on your private repos, if they haven't already - just by accident
8.
by h6d_100c 6mo ago
And they were actually like that pre-LLM, in 2019, when I was implementing stuff for a car company on azure. They spent _hundreds of thousands_ on cosmosDB, for less performance than a raspberry pi running Postgres.
9.
by h6d_100c 6mo ago
What happens when someone asks an AI model to fuzz test that...
10.
Helix Parallelism: Sharding Strategies for Multi-Million-Token LLM Decoding(research.nvidia.com)
2 points by h6d_100c 1y ago|0 comments