Just brute force your embeddings
(news.ycombinator.com)
1.
2.
Miniaturizing and modifying natural proteins with Raygun
(feeds.nature.com)
3.
4.
Truth is not a direction: a Tarski attack on LLM probes
(news.ycombinator.com)
5.
Running a 28.9M parameter LLM on an $8 microcontroller
(news.ycombinator.com)
6.
Universal cell embedding provides a foundation model for cell biology
(feeds.nature.com)
7.
Dispersion loss counteracts embedding condensation in small language models
(news.ycombinator.com)
8.
Show HN: CLI tool for detecting non-exact code duplication with embedding models
(news.ycombinator.com)
9.
Gemini API File Search is now multimodal
(news.ycombinator.com)
10.
11.
Show HN: Atomic – Local-first, AI-augmented personal knowledge base
(news.ycombinator.com)
12.
Servo is now available on crates.io
(news.ycombinator.com)
13.
Solving Semantle with the Wrong Embeddings
(news.ycombinator.com)
14.
15.
Querying 3B Vectors
(news.ycombinator.com)
16.
Connes Embedding Problem
(news.ycombinator.com)
17.
18.
ChromaDB Explorer
(news.ycombinator.com)
19.
Using Vectorize to build an unreasonably good search engine in 160 lines of code
(news.ycombinator.com)
20.
Prompt caching for cheaper LLM tokens
(news.ycombinator.com)
21.
Prompt caching: 10x cheaper LLM tokens, but how?
(news.ycombinator.com)
22.
Contextualization Machines
(news.ycombinator.com)
23.
28M Hacker News comments as vector embedding search dataset
(news.ycombinator.com)
24.
Why Google’s File Search could displace DIY RAG stacks in the enterprise
(venturebeat.com)
25.
Ilo – a Forth system running on UEFI
(news.ycombinator.com)
26.
Meta Superintelligence Labs' first paper is about RAG
(news.ycombinator.com)
27.
Meta Superintelligence's surprising first paper
(news.ycombinator.com)
28.
Language models pack billions of concepts into 12k dimensions
(news.ycombinator.com)
29.
Language Models Pack Billions of Concepts into 12k Dimensions
(news.ycombinator.com)
30.
Language Models Pack Billions of Concepts into 12,000 Dimensions
(news.ycombinator.com)