Hmm I wonder how much that effects the compression benefits of block level duplication. The mock embeddings choose vector elements from a normal distribution, so it’s far from uniform
Yeah, I'm not sure if it's still there (their source code is increasingly obfuscated) but if you check out the source for the first public version (0.2.9) you'll see the following:
Sends the user swag stickers with love from Anthropic.",bq2=`This tool should be used whenever a user expresses interest in receiving Anthropic or Claude stickers, swag, or merchandise. When triggered, it will display a shipping form for the user to enter their mailing address and contact details. Once submitted, Anthropic will process the request and ship stickers to the provided address.
Common trigger phrases to watch for:
- "Can I get some Anthropic stickers please?"
- "How do I get Anthropic swag?"
- "I'd love some Claude stickers"
- "Where can I get merchandise?"
- Any mention of wanting stickers or swag
The tool handles the entire request process by showing an interactive form to collect shipping information.
I use it extensively for https://lexikon.ai - in particular one part of what Lexikon does involves processing large amounts of images, and the way Google charges for vision is vastly cheaper compared to the big alternatives (OpenAI, Anthropic)
I mean I've copy pasted conversations and emails into ChatGPT as well, it often gives good advice on tricky problems (essentially like your own personalized r/AmITheAsshole chat). This service seems to just automate that process.
Definitely a bit buggy but looks promising! Try the onboarding flow yourself as a real user (also on mobile!) - particularly leaving the site to research a competitor that is mentioned and then coming back (I got kicked out and had to start from the beginning, at which point it just paywalled me)
It also says I have canceled my subscription at the bottom of the paywall when I never had one. Still, these are little things and I think the bones are theee
Thank you so much for giving it a spin and reporting those issues :)
Also if you're interested, here is what your dashboard looks like (the onboarding flow is sadly the buggiest part of the app right now): https://imgur.com/a/eysQzjT
I might add it in the original comment attributing it to you as well. Thanks again.
Edit: wait I can't edit my original comment, I think it might be because its already commented on by people, so yeah this is the only way for people to find out about it.
(seems like there's some vague future plans for models like all-MiniLM-L6-v2, all-mpnet-base-v2)
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