Recent submissions

Comment · 3 years ago
Yes, your examples make sense in their own context, but are not relevant to the case of scraping publicly available data.

In short, who's getting put out of business for redisplay or derived data uses of publicly available data?

Comment · 3 years ago
Who's getting bankrupted by legal fees over scraping these days--which has time and time again be declared not illegal.
Comment · 3 years ago
Additionally, the CFO position at Tesla has had noticeably high turnover the years.
Comment · 3 years ago
> a service exposes some capability without authentication, ergo you're authorized to use it

How is this different from scraping publicly available websites? i.e. why would you get in trouble for one, but not the other?

Comment · 3 years ago
except that person(s) you gave and received the cash from know who you are.
Comment · 3 years ago
> Terms of service for various companies and other long and boring documents.

OK, fine. Do you have a working example of this? e.g. he's a contract, and please find me the unfavorable and / or non-standard terms. People have tried this before with no success, and it would be great if someone finally made some headway here. Even more points if the GPT things find onerous terms, but says, "hey don't worry about this non-compete bit, it's not enforceable."

Comment · 3 years ago
Please don't give the marketing team any crazy ideas. ESG + AI = Aladdin!
Comment · 3 years ago
> Salesforce will print money for a few more years until someone makes a less awful CRM solution and just crushes their business.

This statement undervalues the lock-in Salesforce has. One should probably make migrate-from-Salesforce tool and sell to all the new VC funded CRM shops. You could be selling shovels during a gold rush.

Comment · 3 years ago
> This floored me. One because in my mid Atlantic area nearly every house has a heat pump. When house shopping many years ago we never saw a listing that didn't have one.

Is this really possible? Is every house in this area less than 20 years old, or occupied by a well-heeled and environmentally conscious homeowner?

Comment · 3 years ago
> but it doesn’t seem to be good at extrapolation.

This is true to varying degrees for every statistical model ever.

Comment · 3 years ago
I agree, it's impressive. But still not at the level of useful. For example, I would never use any of these generative art images in company ads or marketing materials. They're not in the uncanny valley, but closer to that than something one would commission from a designer.
Comment · 3 years ago
We use other signals as well: time of day, ip address, new cookie logs out old cookie. At the end of day we are dealing in probabilities, but we can definitely find the most aggressive sharers.
Comment · 3 years ago
This is beyond crazy. I can't image even trying to be a farmer without spending a good portion of my time repairing my tools, fences, etc.
Comment · 3 years ago
We use web fingerprinting and adjacent methods to crack down on ID sharing for our SaaS that charges (per person). I make no apologies for this practice.
Comment · 3 years ago
I'm reminded of the Chris Rock joke about Lululemon and their $100 no-hate yoga pants. But given that price they actually hate poor people.

Live from the official Hacker News API

A modern reader for Hacker News · SvelteKit + Skeleton