Do facts have an expiration date? (with Samuel Arbesman)
1. Embrace Science as Draft
Adopt the mindset that scientific knowledge is always in draft form, constantly being updated and improved, rather than a fixed body of truth. This helps in accepting new discoveries that overturn previous understandings without despair.
2. Trust Science as Process
Shift your trust from science as a static body of knowledge to science as a dynamic, self-correcting process of rigorously querying and understanding the world. This allows for acceptance of its inherent messiness and constant evolution, rather than being disillusioned by errors.
3. Cultivate Epistemic Humility
Practice epistemic humility by acknowledging that we don’t know everything and that’s acceptable, especially when dealing with complex systems or scientific knowledge. This helps avoid the false dichotomy of perfect understanding or complete ignorance, fostering a more productive approach to learning.
4. Hold Mental Models Loosely
Accumulate many mental models but hold them loosely, especially when applying them outside their original domain. This prevents oversimplification or drawing dangerous, grand sweeping conclusions from powerful but metaphorical theories.
5. Balance Skepticism Wisely
Maintain a healthy dose of skepticism towards scientific claims, recognizing that science is a human endeavor with imperfections and self-correcting mechanisms. Avoid unhealthy skepticism that dismisses all scientific findings due to isolated errors or frauds, which can lead to science denialism.
6. Approach Truth Asymptotically
Recognize that knowledge acquisition is a process of asymptotically approaching the truth, meaning we continuously get closer to a true understanding even as previous facts are overturned. This perspective fosters a healthy and optimistic view of scientific progress, seeing change as refinement rather than invalidation.
7. Choose Wonder & Excitement
Cultivate a sense of wonder and delight regarding science and technology, choosing excitement over fear or despair, even amidst uncertainties and changes. This positive outlook is integral to scientific and technological advancement and personal engagement with new discoveries.
8. Build Desired Future
Instead of solely predicting the future, focus on envisioning the kind of world you want to live in and then actively work to make that world more likely through technological and societal choices. This shifts the approach from passive prediction to active creation and purpose-driven development.
9. Design Tech for Meaning
Intentionally design and use technology by first considering how it can make life more fulfilled or meaningful, then working backward to envision what those technologies would look like. This shifts the focus from mere efficiency or time-wasting to human well-being and purpose.
10. Computers: Tools for Thought
Remember that computers are tools meant to enhance human capabilities and make us the best versions of ourselves, rather than ends in themselves. This perspective helps design and use technology for wonder and fulfillment, not just efficiency or passive consumption.
11. Computing as Liberal Art
Reframe computing and computation not merely as engineering but as a humanistic liberal art that touches upon language, philosophy, biology, and art. This broader perspective can lead to a healthier approach to how technology engages with human experience.
12. Optimize for Interestingness
When exploring high-dimensional spaces for innovation or research, optimize for interestingness or novelty rather than directly pursuing a specific end goal. Treat discoveries as ‘stepping stones’ for productive recombination, leading to surprising and unexpected outcomes.
13. Catalyze Adjacent Possible
Act as a catalyst to lower the activation energy for exploring the ‘adjacent possible,’ making it easier to discover and actualize potential inventions, technologies, and ideas. This involves fostering environments where new combinations and discoveries are more likely to occur.
14. Connect People & Ideas
Act as ‘connective tissue’ by actively linking individuals and ideas across different disciplines, fostering dialogue and overcoming jargon barriers. This interdisciplinary approach is a powerful means of catalyzing innovation and generating new insights.
15. Cultivate T-Shaped Individuals
Foster individuals with deep expertise in one area (vertical bar of ‘T’) combined with the ability to jump across different domains (horizontal bar of ‘T’). This bridges disciplinary gaps and enriches research and problem-solving.
16. Experiment with Research Organizations
Explore and experiment with diverse institutional forms for research beyond traditional universities or corporate labs. This can incentivize valuable scientific activities not currently rewarded by existing structures, unlocking new kinds of discoveries.
17. Facilitate Research-Career Mobility
Create mechanisms that allow individuals to move fluidly between research and non-research roles (e.g., industry, startups) and back again. This prevents talent loss and enriches both domains by allowing diverse experiences to inform research and application.
18. Study Tech History
Study the history of technology to understand path dependence, contingencies, and past innovations. This knowledge can reveal ideas that were not ready in their time but can be repurposed or remixed for current innovation, providing powerful means for advancement.
19. Leverage AI for Idea Discovery
Utilize AI tools to stitch together disparate ideas and surface papers, articles, or concepts that would otherwise remain hidden due to jargon barriers or the vastness of available knowledge. This enhances intellectual exploration and understanding across fields.
20. Create Bespoke AI Outputs
Use AI tools to create highly personalized, ‘bespoke’ software, songs, or images tailored specifically to individual preferences and needs. This allows for the creation of unique digital experiences that resonate deeply with an audience of one, fostering personal fulfillment.
21. Explore Physical, Communal Computing
Investigate and develop physical and communal computing experiences, such as manipulating tangible objects on a table with projected interfaces. This can foster deeper human connection and tangible interaction, counteracting the isolating nature of screen-based computing.
22. Practice Creative Coding
Engage in creative coding to build artistic computer programs, exploring new forms of creativity that leverage the computer’s ability to perform vast calculations for generating unique images and animations. This offers a new window into art and expression previously unavailable.
23. Learn Traditional Coding
Continue to learn traditional coding alongside new AI tools, as deeper coding knowledge enhances the power and effectiveness of generative AI for building sophisticated software and overcoming limitations. This foundational understanding makes one a more successful user of AI tools.
24. Export Scientific Mindset
Work to convey the scientific mindset – viewing knowledge as a constantly improving draft – to the broader public. This can help foster a healthier understanding of scientific progress and its inherent uncertainties, reducing public anxiety about changing ‘facts’.