
The manual I wish I'd had when I started my PhD. On research, failure, and the craft of becoming a scientist.
| Platform | Pricing | Only free issues | Publishes | Weekly | |
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| Issues | 171 | Founded | 4 years ago | Last Issue | 11 days ago |
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Many people seem to think AI slop is slop because it’s AI. That’s like blaming the printing press for pulp literature. AI lowered the barrier to entry, so volume exploded—but a human still made the (implicit) value judgment to publish what...
I’m obsessed with taste, i.e., the skill of telling great ideas from bad ones, and have written substantively about its downstream consequences for research idea development: Idea triage and the haunt filter, How to develop great ideas, and...
Do you know what your research values are? Would you rather get rich and work on a topic you hate, or take a pay cut to work on something you love?
Discussing such dilemmas is a great icebreaker — and a mirror. The original Would you rathe...
Projects often end without closing the feedback loop, i.e., asking about the process itself. Generally, the outcome is what you are evaluated against, but the process is what matters in the long term and it is your biggest lever to improve...
Some people are boasting about how quickly they get a paper done with AI. Which provoked the obvious retort: “if you write your paper in 3 days, I’ll AI-review it in 20 minutes — why should I give it more attention than you did?”
Speed is...
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The writers behind this newsletter.
\ud83c\udded\ud83c\uddfa \ud83c\uddea\ud83c\uddfa PhD researcher at the University of Tübingen, working on causality and representation learning within the ELLIS and IMPRS-IS programs. First-generation academic. Writing about what it takes to become a good scientist.
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