Anthropic is shady too my guy. Claude Code will frequently re-ask you to turn on data sharing even after you've said no, it's dark patterned like a task approval, and once you turn it on it's harder to turn off than OAI makes it.
I hedged my comment by using the conditional tense + “less shady”, because I couldn’t find such issue reported. If you have a link I would be interested to read it. I’m just not aware of shady behavior from Anthropic with regards to training on user data
I've been asked over 15 times by Claude code to turn it back on (with the prompt defaulted on so if you accidentally hit enter your data is sucked in if you don't catch it).
I do think it ended up being after a power outage though and it was some kind of config corruption.
Instagram seems like their most engaged property. FB seems to be devolving into groups + marketplace, and WhatsApp gets a lot of play but I don't think it's the best ad serving/bot surface. I don't think Insta alone can carry the company long term, and while I can see group moderation bots, marketplace agents and insta content assistants being popular, I don't think Meta has an entre into running people's lives the way Google does.
> 1. It's usually low value and not trustworth - I could have just asked the AI myself.
You have no way of knowing what the input to the writing was. You're making the erroneous assumption that the person posting the article was a mouthbreathing spammer who used the prompt "write me an article on subject XYZ, make no mistakes!" and you could have supplied the same prompt.
Yeah that's the point. Spammers have an infinite desire to make more spam, so statistically most LLM writing is garbage.
Readers are making this connection from their own experience. All these tells just associate it with garbage.
In the before times, sending a formal document full of typos and errors would show you didn't bother to proofread, now having a doc full of lazy "LLMisms" also looks like you were too lazy to proofread.
1. Facts and processes. I just want to know something. I do not care if some Nerds for Nginx article is AI written.
2. Opinions and experiences. I want to know a human is writing because emotionally engaging with an AI isn’t building a stronger society - it’s increasing isolation.
3.
In another front, I feel like the value of an AI story cannot be greater than the value of the inputs. If you wrote a two paragraph prompt and an LLM produced a 10 page story, the truth is, it’s only worth two paragraphs. That’s just a feeling, but as of now I don’t think the LLMs have any additional life experiences to draw on to increase the value of their storytelling. (I understand this is debatable, but still- what they offer is available to everyone for now; it is a baseline.)
> You're making the erroneous assumption that the person posting the article was a mouthbreathing spammer
Yes, that's the risk of using an LLM to "clean up" your writing. It's human nature to think you're unique and everyone else should somehow instinctively realize your output is unlike all the LLM spam garbage and worth their time but that doesn't work in practice.
It's unreasonable to expect other people to suppress their intuitive heuristics formed from the bait and switch of being subjected to endless LLM spam every day and blame them for not giving you a fair chance.
You're marginalizing yourself. I don't have hard data for writing, but I do for another area: YouTube Thumbnails. AI generated thumbnails outperform human thumbnails, often with a +2-5% delta in CTR. Yet "so many" people loudly complain about how they HATE AI thumbnails and block channels that have them. Clearly the incentive is there, and (in the case of YT) these are mobs of angry people who don't really matter but scream and bitch as if they did.
The part about false positives was telling. The author doesn't want to demonize human trash, that's not fashionable, they're only concerned about virtue signalling.
Some people are still losing their shit over em-dashes, with no other tells, and humans can't use the not x; y construction anymore either, regardless of any other merit to the writing.
LLM writing is verbose and meandering, but people are making a much bigger deal over this stuff than necessary for virtue signalling purposes. You don't want to read someone else's LLM writing? Get a summary of the page from yours. No time wasted, no pretentious posturing, and you don't make the error of assuming because the piece was written by an LLM that there was no thought put into the subject or there's no value in what is being communicated.
> You don't want to read someone else's LLM writing? Get a summary of the page from yours.
I am disinclined to take someone's error-prone machine generated text and run it through an error-prone summarizer. That's a waste of time (not to mention electricity), when all that needed to happen was for the original person to not be so fucking lazy and just write out his thoughts.
Ending with a spin on "if you didn't bother to write it why should people bother to read it." Way to rail on cliche repetitive slop, with more cliched slop. Will the irony never cease.
Ironically the Chinese are much more science pilled than we are, in part because the party and government have a higher proportion of scientists and engineers. Culturally this biases them to open sharing of information and likely against strong copyright (which is already demonstrated historically) outside areas where it is deemed harmful to social harmony. There's some geopolitical defensiveness and desire to dish out a little payback for the century of humiliation for sure but I think even if that weren't the case they'd still be lax about copyright.
i keep the others in tmux panes and tell the main agent to ask them for their plans and while they run in the background, formulate its plan. Then, when done, review the other plans, and revise as warranted based on other plans.
Code review is soon to be an outmoded concept, (un)fortunately. You have to design orthogonal code (e.g. independent modules in a modular monolith, or microservices) and soak test using canaries.
No code is truly orthogonal if we want it to interact in some way. One microservice might DoS antoher one. In a monolith, some process may take up all resources, and so on.
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