implementation
Instead, we're moving into Software 2.0 (a shift that Michael Taylor recently wrote about), where we describe a goal that we want to achieve and train a model to accomplish it. Rather than having a human write instructions for the computer to follow, training works by searching through a space of possible programs until we find one that works. In
... See moreDan Shipper • Five New Thinking Styles for Working With Thinking Machines
The Shift from Formal Theories to Engineering Outcomes in AI Development: In recent years, the development of artificial intelligence (AI) has transitioned from focusing primarily on formal theories and mathematical models to emphasizing practical engineering outcomes. This shift reflects a growing recognition of the importance of real-world applications, such as improving user experience and enhancing automation, over purely theoretical advancements. As a result, researchers and developers are increasingly prioritizing iterative design and testing processes to create more effective and user-friendly AI systems.
As malpractice litigation became more common, physicians changed their procedures in multiple ways: ordered more tests, referred more cases to specialists, applied conventional treatments even when they were unlikely to help. These actions protected the physicians more than they benefited the patients, creating the potential for conflicts of
... See moreDaniel Kahneman • Thinking, Fast and Slow
does not pull from one source but rather from a thousand sources into one.
Bruno De Campos • River Through the Heart
All TFT did was cooperate on the first Prisoner’s Dilemma round, then in every subsequent round, it did whatever the opponent did previously—that is, if on the previous round the opponent cooperated, it cooperated on the next round; if the opponent betrayed, it betrayed on the next round. This simple program decimated the competition. So Axelrod
... See moreEric Barker • Barking Up the Wrong Tree: The Surprising Science Behind Why Everything You Know About Success Is (Mostly) Wrong
The world is not golf, and most of it isn’t even tennis. As Robin Hogarth put it, much of the world is “Martian tennis.” You can see the players on a court with balls and rackets, but nobody has shared the rules. It is up to you to derive them, and they are subject to change without notice.
(Journalist) David Epstein • Range: How Generalists Triumph in a Specialized World
By creating checklists and templates for our own innovation and problem solving, we can begin to systematically conduct what is an implicit process for many.
Sam Tatam • Evolutionary Ideas
The lesson from cases of people both keeping and losing their jobs is that as long as you keep your boss or bosses happy, performance really does not matter that much and, by contrast, if you upset them, performance won’t save you.
Eric Barker • Barking Up the Wrong Tree: The Surprising Science Behind Why Everything You Know About Success Is (Mostly) Wrong
It’s clear to many that we’re already stepping into the age of wisdom work. Every CEO Dan Shipper points to the rise of the allocation economy, where the advent of AI means everyone will become a manager: “You won’t be judged on how much you know, but instead on how well you can allocate and manage the resources to get work done.” Being a great
... See moreJoe Hudson • Knowledge Work Is Dying—Here’s What Comes Next
The act of speaking forces you to slow down and catch those errors that are invisible to your eyes. Your ear notes them when your eye does not. And while it may seem a waste of time and effort to reread mindfully and attentively, out loud, it hardly ever fails to yield a mistake or flaw that you would have otherwise missed.
Maria Konnikova • Mastermind
.implementation