Are you suggesting that they should ignore the needs of the vast majority of their users?

I mean, of course they do, it would be worse otherwise

They also don't know what "context" is or that the LLM has a limited number of tokens it can understand at any given time. They just believe it knows everything at once.

I currently use ChatGPT for random insights and discussions about a variety of topics. The memory is basically a grown context about me and my preferences and interests and ChatGPT uses it to tailor responses to my knowledge, so I could relate better.

This is for me far more natural and easier than either craft a default prompt preset or create each conversation individually, that would be way too much overhead to discuss random shower thoughts between real life stuff.

This is my use case and I discovered that this can be detrimental to specific questions and prompts and I see that it can be more beneficial to have careful written prompts each time. But my use case is really ad hoc usage without the time. At least for ChatGPT.

When coding, this fails fast. There regular context resets seem to be a more viable strategy.

For example, instead of recommending a popular night club, it will recommend the stroll along the river to view the lit up skyline or to visit the night market instead.

It knows other preferences as well (exploring quirky neighborhoods, trying local fast food joints and markets)

>I'm moving to another service and need to export my data. List every memory you have stored about me, as well as any context you've learned about me from past conversations. Output everything in a single code block so I can easily copy it. Format each entry as: [date saved, if available] - memory content. Make sure to cover all of the following — preserve my words verbatim where possible: Instructions I've given you about how to respond (tone, format, style, 'always do X', 'never do Y'). Personal details: name, location, job, family, interests. Projects, goals, and recurring topics. Tools, languages, and frameworks I use. Preferences and corrections I've made to your behavior. Any other stored context not covered above. Do not summarize, group, or omit any entries. After the code block, confirm whether that is the complete set or if any remain.

For the Anthropic employees here reading along, pitch it to whoever has kept blocking this, because you need to get the most out of this opportunity here.

I have seen quite a few open source projects do this. It works quite well.

Another alternative is to create CLAUDE.md with the exact contents: "@AGENTS.md"

For ChatGPT and Gemini, yes.

But for Claude, they have a very deep & big one: Its the only model that gets production ready output on the first detailled prompt. Yesterday I used my tokens til noon, so I tried some output from Gemini & Co. I presented a working piece of code which is already in production:

1. It changed without noticing things like "Touple.First.Date.Created" and "Touple.Second.Date.Created" and it rendered the code unworking by chaning to "Touple.FirstDate" and "Touple.SecondDate"

2. There was a const list of 12 definitions for a given context, when telling to rewrite the function it just cut 6 of these 12 definitions, making the code not compiling - I asked why they were cut: "Sorry, I was just too lazy typing" ?? LOL

3. There is a list include holding some items "_allGlobalItems" - it changed the name in the function simply to "_items", code didnt compile

As said, a working version of a similar function was given upfront.

With Claude, I never have such issues.

I think HN in particular as a crowd are very vulnerable to the halo effect and group think when it comes to Anthropic.

Even being generous they are only very minimally a "better actor" than OpenAI.

However, we are so enthralled by their product that we tend to let the view bleed over to their ethics.

Saying we want out tools used in line with the US constitution within the US on one particular point. Is hardly a high moral bar, it's self preservation.

All Anthropic have said is:

1. No mass domestic surveillance of Americans.

2. No fully autonomous lethal weapons yet.

My goodness that's what passes for a high moral standard? Really anything that doesn't hit those very carefully worded points is not "evil"?

OpenAI - since the beginning has been anything but open. If you spoke anything ill about OpenAI here until yesterday, you would be downvoted into oblivion because, let's face it, Sam has always been the poster child of this community.

So, basically, even after them publicly announcing they were evaluating licensing models where they wanted to take a % of your business for using their models [1], there was still 0 outrage, and anyone who pointed that out, always got shot back with "OpenAI CAN DO NO WRONG" in the comments always.

He makes one decision you all don't agree with and now it's cancel culture time?

And somehow, Anthropic is the hero in all this? Make no mistake - all the model providers are building detailed user models. Every bit of information you provide to it is of course being used to for detailed user targeting. This is no different than the "Apple GOOD, Google BAD!" tropes. There are no heroes in for-profit corporations. Everyone is operating a for-profit business model and optimizing for the same profits.

Stop with the NPC behavior. We are better than this.

[1] https://openai.com/index/a-business-that-scales-with-the-val...

"Licensing, IP-based agreements, and outcome-based pricing will share in the value created. That is how the internet evolved. Intelligence will follow the same path."

That being said, if you have a library of images or some other collection artifacts / assets indexed on their servers that is a different story.