Comment by spacebacon | Hacker News Reader

Comment by spacebacon | Hacker News Reader

I would assume this is easily accomplished with minimal ai. The obvious demographic to target would include young adults, college students, urban dwellers, individuals with outgoing personalities, those who enjoy socializing, and people within certain professions like event planning or entertainment.

The psychographic target is also not some mystery advanced ai has to unravel… Individuals who relish social settings, finding joy in connections with others, often possess an adventurous spirit, embracing novelty and pursuing thrills. Typically extroverted, they thrive amidst lively atmospheres, delighting in music, dancing, and various forms of entertainment commonly found at gatherings. Prioritizing fun and relaxation, these individuals treasure parties as opportunities to unwind and savor life's pleasures. Some among them exhibit a willingness to take risks, drawn to experiences that provide an adrenaline rush and a sense of adventure.

With all this said, airbnb is literally attacking the majority of the user base that made airbnb what it is. Sounds like airbnb may need to rebrand to Auntie BnB and start charging micro-transactions for small thrills once their user base is thoroughly oppressed.

So all we need is all personal information of everyone and then judging people based on personal attributes by some inscrutable system which may or may not be fair and can't be examined and (most likely) will be difficult to correct?

Easy peasy lemon full-on technofascist authoritarianism dystopian hellhole.

Yes… It will eat itself before it reaches any prolific state imo but that’s just an insane guess. I agree with your dystopian conclusion.

> delighting in music, dancing, and various forms of entertainment commonly

Genuine question, but how will Airbnb know this about you? Are you suggesting they've bought some 3rd party dataset that contains this information about its customers, or is somehow inferring these precise personality interests by looking at a customer's prior bookings?

I'm aware Airbnb lets you book 'experiences', which could be used to infer personality, but I'm not sure how popular these actually are (as an extrovert with extroverted friends in their lates 20s/early 30s I don't know anyone that has booked any).

I think it's possibly much simpler than we think - they can probably just look at your average booking size by number of guests (to determine how likely you frequently party), the type of property/location you've booked, and how close to NYE you've made the booking (a last minute NYE booking with 13 guests screams party).

True, for starters their visible customer insight stack includes Google Analytics, Mixpanel, Looker, Amplitude, Customer io, heap analytics and other tools to gather, analyze, and derive insights from user data and behaviors. 3rd party tooling provides the third party data in this case.

Is this a chatgpt rendition of what a person who likes parties supposed to be? I can't tell if the joke is the separating of yourself from the party goers or how clinically detached it is

What is obvious is how many people choose to discredit every post I make on this platform with the strategy of a grade school bully.

I have always been a party throwing animal. This clinical detachment you speak of is a human that realizes how detached clinical assessments actually are.

I think this is the clinically detached post. The original comment was a celebration of celebration.

I wish your post was written by GPT, it makes me sadder that a human wrote it.

This post is thoroughly insane.

I hear that often. Pretty much anything I write anywhere these days. I appreciate the compliment.

Cliche

> I would assume this is easily accomplished with minimal ai. The obvious demographic to target would include young adults, college students, urban dwellers, individuals with outgoing personalities, those who enjoy socializing, and people within certain professions like event planning or entertainment.

That would be profiling. Instead, we have an ethical AI. :)

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