Y
HN Search
Hacker News Search
new
|
comments
|
top
|
jobs
jeffreyw128
searching PlanetScale…
1.
▲
2.
▲
3.
▲
4.
▲
5.
▲
6.
▲
6 ms
·
1.
▲
exa-code: fast, efficient web context for coding agents
(exa.ai)
5 points
by
jeffreyw128
1y ago
|
1 comments
2.
▲
Exa, 35 person startup building a new search engine, raises $85M Series B
(exa.ai)
16 points
by
jeffreyw128
1y ago
|
10 comments
3.
▲
by
jeffreyw128
1y ago
This was my favorite course in college!
4.
▲
by
jeffreyw128
2y ago
This is cool! If you want to add embeddings over internet as a source, you should try out exa.ai. Includes: wikipedia, tens of thousands of news feeds, Github, 70M+ papers including all of arxiv, etc. disclaimer: I am one of the founders (:
5.
▲
by
jeffreyw128
2y ago
Hey Paulista, Cofounder Jeff here. Both!
6.
▲
by
jeffreyw128
2y ago
Exa | San Francisco | In person | Full time | $130K-350K Jeff, cofounder of Exa.ai here. LLMs represent a brand new opportunity to organize humanity's knowledge, in a way that hasn't been done before. We're an AI research lab
7.
▲
by
jeffreyw128
2y ago
Exa | San Francisco | In person | Full time | $130K-350K Jeff, cofounder of Exa.ai here. LLMs represent a brand new opportunity to organize humanity's knowledge. We're an AI research lab focused on AI-powered search algorithms (us
8.
▲
We need superknowledge before superintelligence
(exa.ai)
14 points
by
jeffreyw128
2y ago
|
13 comments
9.
▲
by
jeffreyw128
2y ago
Exa | San Francisco | In person | Full time | $130K-180K Jeff, cofounder of Exa here. LLMs represent a brand new opportunity to organize humanity's knowledge, in a way that hasn't been done before. We're an AI research lab fo
10.
▲
by
jeffreyw128
2y ago
Missed exa.ai! Embeddings-based search engine with its own index
11.
▲
by
jeffreyw128
2y ago
Exa | San Francisco | In person | Full time | $130K-180K Jeff, cofounder of Exa here. LLMs represent a brand new opportunity to organize humanity's knowledge, in a way that hasn't been done before. We're an AI research lab fo
12.
▲
by
jeffreyw128
3y ago
That's true. Although should be much harder
13.
▲
by
jeffreyw128
3y ago
Do our best at getting the right content. For paywalls/login - we play pretty straight, always obey robots.txt, etc.
14.
▲
by
jeffreyw128
3y ago
Yup, definitely still gameable but if the model learns what high quality content is like and what high quality webpages there are (which it does), then the only way to game would be to be great :) For your search - I would recommend turning
15.
▲
by
jeffreyw128
3y ago
The issue with traditional search engines is that keyword-first algorithms are extremely gameable. Try https://search.metaphor.systems - it's fully neural embeddings-based search. No keywords, only an embedding of what the
16.
▲
by
jeffreyw128
3y ago
This is the dumbest thing I've read in a long time
17.
▲
by
jeffreyw128
3y ago
Check out http://metaphor.systems/ - neural embeddings based search that is really good at finding the longtail of high quality content. Really good for finding personal pages, niche blog posts, etc.. Algorithm doesn't
18.
▲
by
jeffreyw128
3y ago
It’s especially terrifying that misinformation compounds multiplicatively with AI because it happens in 2 layers - once at the retrieval layer (where AI-generated content is worsening the problem of bad SEO content) and again at the retriev
19.
▲
by
jeffreyw128
3y ago
Hey HN! We wrote a blog post about our adventures in building a (neural) search engine in the post-LLM world. We hope it gives a perspective on how we're thinking about the future of search and the role that tools like Metaphor could h
20.
▲
Building search for the post-ChatGPT world
(platform.metaphor.systems)
30 points
by
jeffreyw128
3y ago
|
4 comments