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i'm only a day in so far but @openai's deep research and o3 is exceeding the value of the $150K i am paying a private research team to research craniopharyngioma treatments for my daughter. $200/mo is an insane ROI. grateful to Sam Altman and the OpenAI team.

HUMANS NEED NOT APPLY

Economist Joshua Gans uses o1-pro to generate a (minor, fun) paper in an hour based on an idea of his, and it gets published in an appropriate peer reviewed journal, with adequate disclosure. He ends with the same sentiment I am increasingly seeing from fellow academics: what now?

I love this! The scholcomm future is new UIs built on top of literature, using AI.

Does Consensus use OpenAlex data?

The fact that we don't have to do all this is why I love working in a tiny org! Yay OpenAlex :)

Here are some giveaway ChatGPT responses in research papers I collected, because I woke up too early this morning and thought it would be funny.

🧪 Introducing POPPER: an AI agent that automates hypothesis validation by sequentially designing and executing falsification experiments with statistical rigor. 🔥POPPER matched PhD-level scientists on complex bio hypothesis validation - while reducing time by 10-fold! 🧵👇

Google’s AI agent independently discovered: - A new leukemia drug that then successfully tested in vitro at clinical concentrations - Novel liver fibrosis drug targets - Bacterial cell-level antibiotic mechanisms Looks like the “novel scientific discovery” line has been passed!

We are starting to see what "AI will accelerate science" actually looks like. This Google paper describes novel discoveries being made by AI working with human co-scientists (something I think we have all been waiting to see), along with an early version of an AI scientist.

OpenAI has 400M weekly users. I think the conversations that I still see that AI overall is not useful or just a bubble are not reflecting reality It is more useful to discuss steering the use of AI so as to improve things (& mitigate risks) than arguing that it doesn’t work

Kudos to Elicit, they have a great UI team

Elicit Reports are a sign of things to come - transparent, systematic reasoning applied at scale With the Series A, we'll expand beyond academic research and automated literature review We'll apply the same approach to become the standard for evidence-based decision-making

Interesting, to see overall Undermind (6.8) coming 2nd quite close to Elicit reports (7.3). Third is OpenAi deep research (6.1). Ai2 ai2 Scholar Qa (5.4) is slightly behind with Perplexity deep research far behind (3.9).

Academic journals’ days are numbered. Should have been a lot sooner but now it’s for many more reasons

So what is the plan for the upcoming end of scientific publishing as we know it? Floods of AI-assisted, and eventually AI implemented, articles that look good (& may actually be good!) are already starting. There is the opportunity for something better, if we decide to build it

my best guess from looking at documentation and testing of how Primo Research Assistant, Web of Science Research Assistant, Scopus AI and most other AI academic search works. Scite assistant also does the LLM to keyword search method (1)

Me on the Charleston Hub ATG podcast talking about OpenAlex! youtube.com/watch?v=e-tgop…

I don't quite grok this visualization of research impact (didn't read the docs) but it sure is pretty and it uses OpenAlex data! Well done Geneticflow! genetic-flow.com/index/?field=t…

We get lots of questions on the sustainability of open infrastructure. In today's webinar Jason Priem addressed common questions we receive and our approach to the sustainability of OpenAlex. Check out the recording here: youtu.be/CZ5Q9To1zCc