- Why don’t we have a DALL-E or GPT-3 for science research papers? Researchers think if we did, we could unlock humanity's most important repository of knowledge. https://future.com/how-to-build-gpt-3-for-science/ 62 comments futurology
Linking pages
- A Guide to Decentralized Biotech | Future https://future.com/a-guide-to-decentralized-biotech/ 8 comments
- Data50: The World’s Top 50 Data Startups | Future https://future.a16z.com/data50/ 1 comment
- Why Applying Machine Learning to Biology is Hard – But Worth It | Future https://future.com/why-applying-machine-learning-to-biology-is-hard-but-worth-it/ 0 comments
- Quantifying Disease Risk Using Genomics: the New Paradigm | Future https://future.com/polygenic-risk-score-disease-genomics/ 0 comments
- A Guide to Decentralized Biotech | Future https://future.a16z.com/a-guide-to-decentralized-biotech/ 0 comments
- Can Synthetic Biology and Pond Scum Deliver Carbon-Neutral Manufacturing? | Future https://future.com/synbio-algae-carbon-neutral-biomanufacturing/ 0 comments
- AI’s Next Frontier: Brains on Demand | Future https://future.com/applications-ai-models-of-the-brain-aka-neuroai/ 0 comments
- 7 Techniques for Building Reliable AI Models | Future https://future.a16z.com/7-techniques-for-building-reliable-ai-models/ 0 comments
- Mid-year Recap: Web3 and Science Collide | Future https://future.com/first-half-2022-web3-decentralized-science-desci/ 0 comments
- Roland’s Generative AI Reading List https://ai.roland.xyz 0 comments
- Nintil - Notes on end-to-end biology https://nintil.com/biology-llms 0 comments
Linked pages
- How an Alzheimer’s ‘cabal’ thwarted progress toward a cure - STAT https://www.statnews.com/2019/06/25/alzheimers-cabal-thwarted-progress-toward-cure/ 734 comments
- DALL·E: Creating Images from Text https://openai.com/blog/dall-e/ 461 comments
- AlphaFold reveals the structure of the protein universe https://www.deepmind.com/blog/alphafold-reveals-the-structure-of-the-protein-universe 236 comments
- Are Ideas Getting Harder to Find? - American Economic Association https://www.aeaweb.org/articles?id=10.1257%2Faer.20180338 208 comments
- Open Research Collaboration and Publishing - Authorea Team https://www.authorea.com 204 comments
- System https://www.system.com 186 comments
- OpenAI API https://openai.com/api/ 158 comments
- Science is getting harder - by Matt Clancy https://mattsclancy.substack.com/p/science-is-getting-harder 145 comments
- Depression-Gene Studies Were Built on Shaky Foundations - The Atlantic https://www.theatlantic.com/science/archive/2019/05/waste-1000-studies/589684/ 97 comments
- https://elicit.org/ 57 comments
- 1,500 scientists lift the lid on reproducibility | Nature https://www.nature.com/articles/533452a 56 comments
- [1709.07020] The arXiv of the future will not look like the arXiv https://ar5iv.labs.arxiv.org/html/1709.07020 51 comments
- We Asked GPT-3 to Write an Academic Paper about Itself--Then We Tried to Get It Published - Scientific American https://www.scientificamerican.com/article/we-asked-gpt-3-to-write-an-academic-paper-about-itself-then-we-tried-to-get-it-published/ 40 comments
- scite: see how research has been cited https://scite.ai/ 19 comments
- Highly accurate protein structure prediction with AlphaFold | Nature https://www.nature.com/articles/s41586-021-03819-2 9 comments
- How AI could help make Wikipedia entries more accurate https://tech.fb.com/artificial-intelligence/2022/07/how-ai-could-help-make-wikipedia-entries-more-accurate/ 8 comments
- SCIgen - An Automatic CS Paper Generator https://pdos.csail.mit.edu/archive/scigen/ 0 comments
- Why Applying Machine Learning to Biology is Hard – But Worth It | Future https://future.com/why-applying-machine-learning-to-biology-is-hard-but-worth-it/ 0 comments
- The Winnower | Open Scholarly Publishing https://thewinnower.com/ 0 comments
- [2009.03300] Measuring Massive Multitask Language Understanding https://arxiv.org/abs/2009.03300 0 comments
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