Laura Pike Seeley
@laurapikeseeley
Laura Pike Seeley
Managers could benefit from thinking more like hackers. Hacking helps us take a step back from the worn-out management tenets of efficiency, long-term planning, hierarchical decision-making, and full information, to adopt instead more adaptable strategies.
Why Managers Should Think More Like Hackers
AI alignment is just the problem of AI bias writ (terrifyingly) large: We are assigning more societal decision-making power to systems that we don’t fully understand. D o these two groups of experts charged with making AI safe actually get along? T hese are two camps, and they’re two camps that sometimes stridently dislike each other.
There are two factions working to prevent AI dangers. Here’s why they’re deeply divided.
Ambivalent relationships are unpredictable. With a clear enemy, you put up a shield when you cross paths. With a frenemy, you never know whether Dr. Jekyll or Mr. Hyde is going to show up.
Adam Grant • Opinion | Your Most Ambivalent Relationships Are the Most Toxic
research on intellectual humility has exploded in the past 10 years. Psychologists now have many different ways to assess intellectual humility. Social scientists know that possessing a high level of intellectual humility is associated with multiple positive outcomes, like having more empathy, more prosocial behavior, reduced susceptibility to... See more
Eranda Jayawickreme • Being humble about what you know is just one part of what makes you a good thinker
Nowadays, whenever I feel scared in the face of a decision and yearn for the safety of an optimizing formula, I try to remind myself that there’s another way of feeling safe. It’s not about perfection, about invulnerability, about control. It’s about leaning into the fact that we are imperfect and vulnerable creatures and that even when we’re... See more
You can’t optimize your way to being a good person
The Self Delusion: The New Neuroscience of How We Invent--And Reinvent--Our Identities a book by Gregory Berns
bookshop.org
Neuroscience and
Self-Taught AI May Have a Lot in Common With the Human Brain
wired.com