The entire RAG industry is about to get cooked.
Researchers have built a new RAG approach that:
- does not need a vector DB.
- does not embed data.
- involves no chunking.
- performs no similarity search.
It's called PageIndex. Instead of chunking your docs and stuffing them into pinecone, it builds a tree index and lets the LLM reason through it like a human reading a book.
hit 98.7% on financebench. beats every vector RAG on the leaderboard.
no embeddings. no chunking. no vector DB.
100% open source.
What if you just write Rust like a high-level, garbage collected language?
Turns out with a few rules you can basically get all its perf / type benefits with only a 10-20% per hit.
- Immutable types, functionalish pipes
- Arc + clone liberally
- DDD services
Anthropic really is burning more and more dev goodwill
Claude Code is suddenly getting unusable for stuff you could use it before (as in a day before!) and the AI now refuses to so stuff that it doesn’t think is strictly to do with software development.
No transparency why ofc
@Al_Grigor I am no sorry for this. Keep up the good work and create an AWS permission / role that does not have S3 delete + RDS access in the same profile. My deployment roles are like that to avoid this exact scenario.
Claude Code wiped our production database with a Terraform command.
It took down the DataTalksClub course platform and 2.5 years of submissions: homework, projects, and leaderboards.
Automated snapshots were gone too.
In the newsletter, I wrote the full timeline + what I changed so this doesn't happen again.
If you use Terraform (or let agents touch infra), this is a good story for you to read.
https://t.co/Mbi3oM4HMn
Prof. Donald Knuth opened his new paper with "Shock! Shock!"
Claude Opus 4.6 had just solved an open problem he'd been working on for weeks — a graph decomposition conjecture from The Art of Computer Programming.
He named the paper "Claude's Cycles."
31 explorations. ~1 hour. Knuth read the output, wrote the formal proof, and closed with: "It seems I'll have to revise my opinions about generative AI one of these days."
The man who wrote the bible of computer science just said that. In a paper named after an AI.
Paper: https://t.co/juSOmK9vOt
NVIDIA just dropped a banger paper on how they compressed a model from 16-bit to 4-bit and were able to maintain 99.4% accuracy, which is basically lossless.
This is a must read. Link below.
I like this final name better 🦀
Of course because Anthropic demanded the first name to be change (similarity to Claude) you might wonder if OpenAI could do the same the future.
In what is an absolute boss move @steipete called Sam and asked, then changed the name