abe94
Joined 7 years ago
Joined 7 years ago
this article in particular was an interesting case for the benefits of ALPRs: https://www.worksinprogress.news/p/a-cops-case-for-flock
tl;dr - actually useful for stopping car related crime like thefts, which has a wide ranging affect on other related violent crime, - is not the same as facial recognition, or phone tracking - abuse is detectable - constitutional arguments for ALPRs being a form of privacy intrusion are flimsy since they are mostly applied to public roads which have no privacy protections
At posthog we see if a customer is using an llm, they use more than 1 model. The typical pattern is frontier models for a small percentage of 'harder' tasks and then one of these chinese models for more standardized procedures. As you get better at standardizing procedures you are able to use the chinese models for more and more work so token usage goes up, but the $ spend on top models has still been growing
from recent fable sessions:
- That gap is the real story: 3,873 flows
- the real conversion filter types are:
- I'll update the breakdown query to include a column for each real type
The cost benefit analysis includes a euro value to attribute to better wellbeing, using the WELLBY framework and apply £13,000 per WELLBY
acquired by posthog