miguelaeh (u/miguelaeh)

miguelaeh commented on Claude Memory anthropic.com/news/memory... · Posted by u/doppp

miguelaeh · 5 months ago

> Most importantly, you need to carefully engineer the learning process, so that you are not simply compiling an ever growing laundry list of assertions and traces, but a rich set of relevant learnings that carry value through time. That is the hard part of memory, and now you own that too!

I am interested in knowing more about how this part works. Most approaches I have seen focus on basic RAG pipelines or some variant of that, which don't seem practical or scalable.

Edit: and also, what about procedural memory instead of just storing facts or instructions?

miguelaeh commented on Nitpicks: Record a video and let an agent implement the code nitpicks.ai... · Posted by u/angelmm

miguelaeh · 7 months ago

Hey there! Nitpicks creator here.

I built Nitpicks initially because I was tired of PMs sending me small screen recordings with changes they wanted, so that it automatically implemented them for me.

Then, I was very surprised by the good results that it was producing so I decided to convert it into an actual product others can use. It is really useful for non-technical people in a product team. The whole team can now contribute to the product even if they have no idea of how to code, it's just a click and record the screen.

I would love to see you trying it out and sharing your feedback. Feel free to reach out directly to the email at the footer of the page.

miguelaeh commented on Show HN: Extracts and analyzes discussions from Reddit communities redditlens.com... · Posted by u/thomas-cogez

miguelaeh · a year ago

You should add some way of contact in the website

miguelaeh commented on I built a portable AI account that connects to apps with one click brainlink.dev/developers... · Posted by u/miguelaeh

miguelaeh · a year ago

Hi HN!

I believe there are many issues for devs and users with the current approach of copy-pasting AI provider API keys into applications.

I have built brainlink.dev as a solution to this and would love to get your feedback.

It is a portable AI account that users can connect with one click to every application that integrates the SDK. It works as follows:

1. The user clicks the connect button to link his brainlink account with the app. 2. The app obtains an access token to perform inference on behalf of the user, so the user pays for the usage.

Behind the scenes, a secure Auth Code Flow with PKCE takes place so that the app obtains an access and refresh token instead of directly an API key. When the application calls a model providing a user access token, the user pays for the inference.

I believe this approach offers multiple benefits to both, developers and users.

As a developer:

- I can build and test my app against a specific model without being tied to what API key the user provided, ensuring that everyone gets the same UX.

- I can easily move my app to a different model at any time. Without brainlink, if users add, let's say, an OpenAI API key, to change to Claude I would need to ask every user to update their API key.

- Asking for API keys goes against the ToS of most providers

As a user:

- The initial friction of configuring API keys disappears, especially for non-technical users who don't know what's an API key.

- My privacy increases because AI providers can't track my usage as it goes through the proxy.

- I have a single account that I can connect to multiple apps and see how much each app is consuming

- I can easily revoke connections (tokens)

I tried to make it very simple to integrate with an embeddable button, but you can also create your own button. Here is a live demo with a very simple chat: https://demo.brainlink.dev

I would love to hear your feedback and would be happy to help anyone who wants to integrate it.

miguelaeh commented on Show HN: Search engine that presents answers as news briefs graphthem.com/... · Posted by u/vignesh_warar

miguelaeh · a year ago

Cool! Are you indexing the web or just using a search engine like Bing? I understand that using a search engine is a problem because your results will be as good as those of the search engine

miguelaeh commented on Running AI locally in the users' browsers offload.fyi/blog/running-... · Posted by u/miguelaeh

miguelaeh · a year ago

I have been recently exploring and testing this approach of offloading the AI inference to the user instead of using a cloud API. There are many advantages and I can see how this could be the norm in the future.

Also, I was surprised by the amounts of people that have GPUs and how well SLMs perform in many cases, even those with just 1B parameters.