The hottest Experiment Substack posts right now

And their main takeaways
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Talking science communication with a Mythbuster

Science Forever • 119 implied HN points • 26 Feb 24
🔬 Science Communication Research Experiment Climate change Myths
  1. Science communication should be personalized and emotional to engage people effectively.
  2. Revisiting and retesting myths is an essential part of the scientific process and can lead to different results.
  3. Encouraging transparency in scientific publishing, advocating for open access, and embracing the self-correcting nature of science can help address the reproducibility crisis.

The infinite monkey theorem

A Piece of the Pi: mathematics explained • 18 implied HN points • 11 Mar 24
🔬 Science Mathematics Literature Research Experiment Evolution
  1. The infinite monkey theorem states that given enough time and randomness, a monkey could type out the complete works of Shakespeare on a keyboard.
  2. Generating longer phrases by random means, as shown in simulations, becomes exponentially more difficult as the phrase length increases.
  3. The famous infinite monkey paradox has been explored through history, including Cicero's speculation in 45 BC and modern computer simulations using actual monkeys with disappointing results.

Extremely Open Science

Rabbit Thoughts • 39 implied HN points • 17 Jan 24
🔬 Science Research Experiment Data
  1. The author will work on a scientific project completely in the open in 2024, streaming and recording sessions for an hour per week.
  2. The project aims to show the process from scratch to help junior researchers understand and learn from the experience of dealing with minor issues.
  3. The author is choosing a question for the project that can be followed along at home with just a personal laptop or desktop computer.

Accelerating Code Reviews With Nudges

Engineering Enablement • 19 implied HN points • 09 Feb 24
🕹 Technology Development Productivity Tech Culture Experiment Software Engineering
  1. Code reviews at Meta were taking too long, so they experimented with NudgeBot to speed up the process.
  2. The team identified a correlation between slow code reviews and dissatisfaction, leading to the implementation of NudgeBot.
  3. By using NudgeBot to nudge reviewers to act on 'stale' diffs, Meta successfully reduced the time taken for code reviews.

Neuroscience/AI - Can rats ‘think’? A paper by Chongxi Lai and colleagues on cognitive teleportation in rats [8 min read]

James W. Phillips' Newsletter • 157 implied HN points • 10 Apr 23
🔬 Science Neuroscience AI Cognition Experiment
  1. There is a paper on cognitive teleportation in rats, pushing the boundaries of what we understand about rodent cognition.
  2. The research involves tasks where rats navigate in virtual reality based on their brain signals, not physical movements.
  3. The study successfully shows rats 'thinking' by rewarding them for imagining being in a particular location, showcasing impressive advancements in neuroscience and AI.
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Content structure survey

Quantum Formalism • 19 implied HN points • 04 Jun 20
🔬 Science Mathematics Physics Experiment Structure
  1. The content structure of the Quantum Formalism newsletter involves foundational content on mathematics concepts like set theory, abstract algebra, topology, and analysis.
  2. Specific Quantum Formalism content focuses on topics like the genesis of quantum formalism, functional analysis, measure theory, and the formalism of quantum mechanics.
  3. The newsletter team is open to subscriber feedback through a survey to adjust and tailor the content structure to meet the needs of their diverse audience.

Early Results: Do LLMs complete false equations with false equations?

From AI to ZI • 0 implied HN points • 30 Mar 23
🔬 Science AI Research Experiment Results Discussion
  1. The experiment tested if adding false information to a language model affects its output.
  2. Results showed mixed evidence for simulator theory, with the model not always producing incorrect completions as expected.
  3. Research aims to understand if small instances of bad behavior in language models can lead to more significant issues.