Yeah, isn’t this a classic kind of scam the would-be scammer situation? If you think there’s some way to buy one cheap device and somehow get around subscribing to streaming services[1], then of course you’re going to be in a market with fraudsters…
[1] Can someone explain what the theory of the product is here? It sounds like they’re marketing these things as ways for the customer to commit fraud, for example by connecting to someone else’s login. How else would the customer expect to be able to get free Netflix or whatever?
It may be the case that these devices are front-ends for pirated content that's hosted in various places. They're not streaming it from Netflix servers. It's content similar to that offered by Netflix and other streaming services, pirated by someone else, and hosted by someone else for streaming by anyone who can figure out how to find it.
Honestly I’m shocked this took so long. For years and years this has smelled like a massive vulnerability to me, just because so constantly I find myself getting docusigns from people I have some kind of business with, without any warning in advance that it’s coming.
At least a couple times a year I find myself calling some banker/travel organizer/administrator in charge of some speaking fee/etc./etc. and asking “hey, I have some Docusign with a weird name on it in my inbox, is that from you?”
(See also, every process within a million miles of the mortgage industry, which seems almost custom-made by fraudsters to help other fraudsters, like the whole practice of mailing out letters saying “Surprise! A servicer change happened, now you need to send a check to this totally other company you’ve never heard of! Trust us, it’s real!”)
What. The author of this post ought to be ashamed of their desperate effort to avoid being called out for making shitty and/or obnoxious software by blaming the people to describe to future victims that it is shitty and/or obnoxious software. Clearly people should be required to spend their hard-earned money and scarce time on software without having access to information about how other people experienced it.
How many apps have you personally made and released? Do you know what it’s like to get an abusive review on something you spent a lot of time and effort making or do you never enter the arena yourself and simply consume and criticize?
When you get other people’s money, you have to be accountable to them. Sorry. I don’t release apps, but I do teach at a university. I’m also accountable to the people whose money I get. Sometimes student evaluations are terrible, and it sucks to get them, but that’s a lot better than deliberately stripping information for them.
Right, and from your domain your university (or some) may require you to teach a curriculum that’s ineffective and you take the blame for it. There are plenty of quality of life things developers would love to do but can’t and they take the blame with 1 star reviews. Glad you at least can empathize with that.
> When you get other people’s money, you have to be accountable to them.
How would you feel if someone showed up to your class, were asked to leave because they didn’t pay tuition, and then gave you a bad performance review because of it- and that review actually mattered and stuck with you?
So does an amber script after it's been compiled, that's the whole point. You can tweak it and inspect it if you want. Realistically though you'll probably regenerate it and copy the new compiled version over. But you can do both.
Is it? There is no example of what the compiled output looks like in the website or github. Just because its bash doesn't mean its suitable to be maintained in bash.
I feel like this is a lost cause, but why do people who publish these online free book-like-substances never make the files available as a single download? Do I really need to run a scraper if I want to read this as an epub on my kindle?
Does anyone know of any good write-ups on how to carry out this sort of task, for people who are reasonably technical (i.e., know how to code) but aren’t deep in the AI world? I feel like “customize a model based on a corpus of documents” (whether that’s “fine-tuning” or “RAG”) is a thing that everyone wants to know how to do but nobody actually explains in straightforward terms. (I pay for Gemini solely for access to NotebookLM for these purposes, but it would be nice to just be able to roll my own locally.)
