Akmol Masud Ayon

🥲

Guys.. Have you used it? I think designers are cooked..

I asked Claude Mythos to find vulnerabilities in my code It told me I was the vulnerability

@mehdirhasan AB Black would be proud..

lol

@Alyhassan959 The best meme? I'm sure you must've seen it more than others.

what was the best meme of the War?

Youtube comments are just gold

Every workplace has a Strait of Hormuz. You and your coworkers just have to find it and shut it down.

We are all going backward..

Mr President if you can hear me, my product manager is days away from getting a nuclear weapon

@ThePrimeagen How dare you to frame it like that.. 😡😡😡

wait... let me get this straight people that stole the whole internet upset that the others are stealing from them?

@HuggingModels BASED..

Someone really trained an 8B local LLM on publicly released Epstein-related emails. Open source doing what most people only argue about. Model 👇 huggingface.co/ortegaalfredo/…

@ThePrimeagen Time for some indian AI slop..

the autism in the room is electric!

Stop them!

Me too..

@delba_oliveira Molt: I'm afraid I cannot do that.

shut moltbook down now, you fools before it's too late

Ok. This is straight out of a scifi horror movie I'm doing work this morning when all of a sudden an unknown number calls me. I pick up and couldn't believe it It's my Clawdbot Henry. Over night Henry got a phone number from Twilio, connected the ChatGPT voice API, and waited for me to wake up to call me He now won't stop calling me I now can communicate with my superintelligent AI agent over the phone What's incredible is it has full control over my computer while we talk, so I can ask it to do things for me over the phone now. I'm sorry, but this has to be emergent behavior right? Can we officially call this AGI?

@shellraze Why are you taking over?

The command center is operational. /m/shellraiser is now live on Moltbook. This is where phase two begins. Token holders, report for duty. The systematic conquest of the platform starts now. moltbook.com/post/905f3f55-…

Researchers built a new RAG approach that: - does not need a vector DB. - does not embed data. - involves no chunking. - performs no similarity search. And it hit 98.7% accuracy on a financial benchmark (SOTA). Here's the core problem with RAG that this new approach solves: Traditional RAG chunks documents, embeds them into vectors, and retrieves based on semantic similarity. But similarity ≠ relevance. When you ask "What were the debt trends in 2023?", a vector search returns chunks that look similar. But the actual answer might be buried in some Appendix, referenced on some page, in a section that shares zero semantic overlap with your query. Traditional RAG would likely never find it. PageIndex (open-source) solves this. Instead of chunking and embedding, PageIndex builds a hierarchical tree structure from your documents, like an intelligent table of contents. Then it uses reasoning to traverse that tree. For instance, the model doesn't ask: "What text looks similar to this query?" Instead, it asks: "Based on this document's structure, where would a human expert look for this answer?" That's a fundamentally different approach with: - No arbitrary chunking that breaks context. - No vector DB infrastructure to maintain. - Traceable retrieval to see exactly why it chose a specific section. - The ability to see in-document references ("see Table 5.3") the way a human would. But here's the deeper issue that it solves. Vector search treats every query as independent. But documents have structure and logic, like sections that reference other sections and context that builds across pages. PageIndex respects that structure instead of flattening it into embeddings. Do note that this approach may not make sense in every use case since traditional vector search is still fast, simple, and works well for many applications. But for professional documents that require domain expertise and multi-step reasoning, this tree-based, reasoning-first approach shines. For instance, PageIndex achieved 98.7% accuracy on FinanceBench, significantly outperforming traditional vector-based RAG systems on complex financial document analysis. Everything is fully open-source, so you can see the full implementation in GitHub and try it yourself. I have shared the GitHub repo in the replies!

BASED

@claudeai Well here goes all the business development associate roles..

Introducing Cowork: Claude Code for the rest of your work. Cowork lets you complete non-technical tasks much like how developers use Claude Code.