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We're Missing a Key Reason Why Americans Hate AI
A Cop's Case for Flock
A Cop's Case for Flock
this article in particular was an interesting case for the benefits of ALPRs: https://www.worksinprogress.news/p/a-cops-case-for-flock
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
Lawn Mowing Experiment
The hottest Apple product isn't what you think
Nvidia-backed Ayar Labs raises $500M at $3.75B valuation
Activist investor Elliott boosts stake in Pinterest by $1B
The cost benefit analysis includes a euro value to attribute to better wellbeing, using the WELLBY framework and apply £13,000 per WELLBY
Ireland rolls out pioneering basic income scheme for artists
Adolescence lasts into 30s – new study shows four pivotal ages for your brain
Something in a similar vein that I would love would be a single feed you have control over, powered by an extension. You can specify in plain english what the algorithm should exclude / include - that pulls from your fb/ig/gmail/tiktok feeds.
The general points i'm trying to get across is
- Responder safety/back-up needs mean you can’t fully “swap out” police. This program still needed to bring in police most of the time. - Coverage and scale are hard in an actually big city, like NYC. (also why denver's success in a tiny city is sort of a useless comparison)
So why not just equip police to better handle mental health cases instead of creating a different task force which doesn't have any of structure the police already has? This isn't rhetorical - the reason is idealogical stubbornness, there are better solutions for achieving mamadanis goals.
Mamdani and politicians with similar 'progressive' positions are those advocating for reducing them (either through budget cuts, or moving resources to worse initiatives), while the most robust studies on crime have shown beat cops to be pretty effective for reducing crime (see the Philadelphia Foot Patrol Experiment, and other meta analyses)
Denver is the best example in the US that saw limited success, and one of the very few - in most places similar approaches were tried (in the US), we were worse off then just keeping police as the primary responders. In NYC specifically we tried a pilot recently, and it was (unsurprisingly) ineffectual - where police had to be called as backup 65% anyway(https://comptroller.nyc.gov/reports/audit-of-the-behavioral-...). So no in NY at least police don't make the situation worse thats a myth.
Its also conveniently leaving out the policy ideas on reducing policing, and introducing mental health crisis workers which have been tried in the US (SF) and worked disastrously.
Honestly made the whole event better
One question i've had is if its given that we care about making humans space faring, why focus on getting to new planets and colonisation and not instead on building the massive megastructures mentioned in the article as an end in itself?
I see new AI assisted products everyday, and a lot of them have real usage. Beyond the code-assistants/gen companies which are very real examples, here's an anecdote.
I was thinking of writing a new story, and found http://sudowrite.com/ via an ad, an ai assistant for helping you write, its already used by a ton of journalists and serious writers, and am trying it out.
Then i wanted to plan a trip - tried google but saw nothing useful, and then asked chatgpt and now have a clear plan