stuhlmueller

5 ms·

1.
Planning Is Unsolved(elicit.com)
2 points by stuhlmueller 5mo ago|1 comments
2.
by stuhlmueller 10mo ago
Here's a Strudel fork that uses LLMs to turn instructions like "add a bass layer" into code: https://github.com/stuhlmueller/strudel-llm
3.
Letter to CA and DE Attorneys General Re OpenAI Restructuring(documentcloud.org)
2 points by stuhlmueller 1y ago|0 comments
4.
Elicit Reports(blog.elicit.com)
2 points by stuhlmueller 2y ago|0 comments
5.
Elicit Systematic Review(blog.elicit.com)
2 points by stuhlmueller 2y ago|0 comments
6.
Against RL: The Case for System 2 Learning(blog.elicit.com)
2 points by stuhlmueller 2y ago|0 comments
7.
Trust at scale: Auto-evaluation for high-stakes LLM accuracy(blog.elicit.com)
6 points by stuhlmueller 2y ago|0 comments
8.
Scaling your impact: A polynomial model of career growth(blog.elicit.com)
3 points by stuhlmueller 2y ago|0 comments
9.
From grep to SPLADE: a journey through semantic search(blog.elicit.com)
70 points by stuhlmueller 2y ago|19 comments
10.
Elicit Machine Learning Reading List(github.com)
1 points by stuhlmueller 2y ago|0 comments
11.
by stuhlmueller 3y ago
Elicit | Senior Software Engineer | Oakland or Remote | https://elicit.com Elicit is the leading AI research assistant. We automate high-quality reasoning so that humanity makes more breakthroughs in every domain: from climate c
12.
Notebooks: A New Way to Analyze Papers in Elicit(blog.elicit.com)
11 points by stuhlmueller 3y ago|1 comments
13.
How we launch a user-facing feature every week(blog.elicit.com)
3 points by stuhlmueller 3y ago|0 comments
14.
Discovering alignment windfalls reduces AI risk(blog.elicit.com)
5 points by stuhlmueller 3y ago|0 comments
15.
Build a search engine, not a vector DB(blog.elicit.com)
241 points by stuhlmueller 3y ago|82 comments
16.
by stuhlmueller 4y ago
Ought | Infrastructure Engineer | Remote/hybrid | https://elicit.org/ Ought is using large language models to build Elicit, an AI-powered research assistant that automates and extends parts of the scientific research p
17.
Factored Cognition Primer: How to write compositional language model programs(primer.ought.org)
3 points by stuhlmueller 4y ago|0 comments
18.
by stuhlmueller 4y ago
Ought | Full-Stack Software Engineer | Remote/hybrid | https://elicit.org/ Ought is using large language models to build Elicit, an AI-powered research assistant that automates and extends parts of the scientific resea
19.
How to quit like a boss(jmsbrdy.com)
156 points by stuhlmueller 5y ago|162 comments
20.
by stuhlmueller 5y ago
Yes, includes PubMed, medRxiv, and a few others. The list of publishers is at https://www.semanticscholar.org/about/publishers
21.
by stuhlmueller 5y ago
Same! Pretty sure there will be tons of products for semantic search over local & cloud files within the next 1-2 years. For now we've chosen to build Elicit around aggregating and synthesizing research - what is the evidence in ea
22.
by stuhlmueller 5y ago
Semantic Scholar via API (195M papers)
23.
by stuhlmueller 5y ago
Cofounder here - Elicit is an AI research assistant. Right now it's focused on helping people answer research questions by searching over claims instead of papers. You can also teach Elicit to do custom tasks by giving input-output exa
24.
by stuhlmueller 5y ago
For web search, are you using the Bing API? If so, do you have thoughts from the private beta on how it compares to Google - where it does similarly/better, where it does worse?
25.
by stuhlmueller 6y ago
Good idea. We'll integrate that into Elicit in a few weeks. In the meantime, here's a Colab that shows the CDFs: https://colab.research.google.com/drive/1pl3fIaeIKIS77IDM_rn...
26.
by stuhlmueller 6y ago
Alex Irpan's post inspired the AGI timelines discussion at https://www.lesswrong.com/posts/hQysqfSEzciRazx8k which shows 12 people's timelines as probability distributions over future years and their reasonin
27.
by stuhlmueller 7y ago
Ought | https://ought.org | Software Engineer | San Francisco (onsite) We're a non-profit AI research lab. Our goal is to make machine learning solve tasks where success can’t be reduced to a simple metric. We're worki
28.
by stuhlmueller 7y ago
Ought | https://ought.org | Software Engineer | San Francisco (onsite) We're a non-profit AI research lab. Our goal is to make machine learning solve tasks where success can’t be reduced to a simple metric. We're worki
29.
by stuhlmueller 7y ago
Ought | https://ought.org | Engineering Team Lead | San Francisco (onsite) We're a non-profit AI research lab. Our goal is to make machine learning solve tasks where success can’t be reduced to a simple metric. We're w
30.
by stuhlmueller 7y ago
Ought | https://ought.org | Engineering Team Lead | San Francisco (onsite) We're a non-profit AI research lab. Our goal is to make machine learning solve tasks where success can’t be reduced to a simple metric. We're w

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