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Wow I guess I am in the minority of folks building a search engine for humans now, this is a wild business model but best of luck to the 3 search index providers sitting behind this proxy, I hope it's worth their while financially speaking. Building an index is hard and expensive (I know).

I hope aup4 is smaller than aup3, because my number one headache with Audacity is file size bloat. Otherwise I love it!


Let's not forget that PageRank unintentionally spawned the SEO industry.


The blame should not rest at Pagerank's feet. The moment the web became a place to make money SEO would have cropped up to target any other ranking system, had that become the defacto standard. In fact the ranking system was not raw Pagerank's, it was one of the many signals used to rank a page. It was the resulting ranking that SEO targets, not Pagerank specifically.


True


If like me you run models locally, it's pretty easy to run your own RAG locally also using a Vector Database like Qdrant for persistence, and a middle-layer like Mem0 for realtime retrial and updates. I documented the set-up steps here: https://leadprompt.sh/a/739-Building-an-Infinite-Memory-Loca...


Thanks for the nice article.

If you're looking for feedback, I'd suggest adding a short demo at the end. It would be nice to see you send it a prompt that says, "hey, remember this" and then tell it to recall that memory. Or show what the memories look like on their way to the model. Are the memories added to the context on every turn or only once per conversation?


Thanks for the feedback, and that's a great idea I should have done that! They are extracted and added each turn, all handled by the same middleware proxy that also handles the retrievals. I put the full code for that (memory_proxy.py) in the article.


See also: people.


A human-curated old school web search engine: https://greppr.org/


Will be interesting to see if they release the weights for local deployments. I love running Flux2 locally via ComfyUI.


I doubt any labs will be releasing weights for frontier image models.

Why would they want to deal with the amount of bad press they'll get for unsavory porn? Look at what happened to Grok.


Minimax just released the weights for a video model (https://huggingface.co/MiniMaxAI/MiniMax-H3) that apparently only has limited safeguards.


I forgot about that.. I'm surprised China allowed them to release that. Surely it will only increase the likelihood and severity of western restrictions on Chinese open models.

Unless they see it as a way to stoke anti-AI sentiment in the west and further polarize us..


There's plenty of sites/APIs providing (actually) uncensored Seedance / Seedream models from ByteDance, which I find surprising too.

Yes, they're real Seedance, no refusals.


If it has any safeguards at all, I don't think they've been found yet... and /r/unstablediffusion has been trying.


Ultimately AI will kill Google's search monopoly, not fines.


That's an interesting comment. I noticed already years before AI emerged that Google ruined its search engine. I am not sure AI per se kills search engines, but interestingly the other search engines also suck immensely. Even from the User Interface, which is strange to me. Qwant just copy/pasted Google's horrible UI. DuckDuckGo is praised for reasons I don't understand - it also produces really low quality results. It seems nobody is able to come up with really good search engines anymore - they always end up being absolute horrid jokes in this or that area.


Yes you are correct, most are horrible. I built my own as a hobby because I wanted to go back to the "ten blue links" model of the early Internet, but freely admit that model is now dead with the majority of end-users asking their AI assistants instead. Gemini is vital to Google as a result.


Tried Kagi.com yet? Search without being an ad-target in itself is a breath of fresh air.


It will be interesting to compare this to Flux 2.


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