Zaid Al Kazemi
Building Caravan Notes
Before Caravan, I spent ten years as an art director and brand strategist. Everything I know about logos is in Logonomics.
Zaid's Newsletter
Decoding human and machine intelligence to build Caravan Notes
Articles
The Beauty of Death
Thinking about: “Mastering Atari, Go, Chess and Shogi by Planning with a Learned Model (MuZero)” by Schrittwieser et al
Excerpt: “A machine does not need to understand your soul to steer your destiny. ... The ultimate beauty of human life is death. ... Sovereignty belongs to whoever defines the error.”
Everybody Has Access to a Genius, Now What?
Thinking about: “Language Models are Few-Shot Learners (GPT-3)” by Brown et al
Excerpt: “The compliant class is going extinct. ... Paying a human to perform simple logic is now an act of charity. ... You write to move other people.”
The Spiral of Stupidity
Thinking about: “Rational Choice and the Structure of the Environment” by Herbert Simon
Excerpt: “You do not lose your intelligence because your brain shrinks. You lose your intelligence because you let the boundaries of your environment collapse. ... You need to build a fortress.”
AI: Nagging Nanny or Mega Muse?
Thinking about: “Scaling Laws for Neural Language Models” by Kaplan, McCandlish et al
Excerpt: “We built the most powerful thinking engine in history, and then we turned it into a nagging parent. ... We have optimized our tools exclusively to solve discrete coding problems because code has a compiler, but there is no unit test for the soul. ... Force the mirror to become a slingshot.”
What Is Intelligence?
Thinking about: “On the Measure of Intelligence” by Chollet
Excerpt: “The fear is that if we define the mechanism, we prove that we are robots made of meat. ... We build massive complexes of glass and copper to summon ghouls from the other side of our own comprehension. ... You get smart by surviving a series of high stakes accidents.”
Paradise Found
Thinking about: “The Bitter Lesson” by Sutton
Excerpt: “Writing is not a way to record what you already think. Writing is thinking. ... The page is your soil, and the pen is your spade.”
Your Mind is a Garden But Are You The Gardener?
Thinking about: “Predictive Coding in the Visual Cortex” by Rao & Ballard
Excerpt: “The brain doesn’t process the world—it processes mistakes. ... The question is not: what do you believe? The question is: who benefits from your beliefs?”
You're Dreaming Wrong
Thinking about: "World Models" by Ha & Schmidhuber
Excerpt: “Your mind is not a collection of memories. It is a set of weights tuned for a game. ... The agents that survived were the ones forced to dream in chaos.”
Beyond Logic and Sequence
Thinking about: “BERT” by Devlin et al
Excerpt: “Logic transformed from sequential algorithms to coordinates in a high-dimensional space. Relationships became measurable distances instead of a series of cause and effect. ... Inference stopped being a step-by-step deduction and became a coordinate lookup.”
The Anti-Luck Filter (And How it’s The Key to Survival)
Thinking about: “Proximal Policy Optimization” by Schulman et al
Excerpt: “Survival is the ultimate intelligence in a world saturated with infinite randomness. ... The people who are still thriving at 70 aren’t the ones who caught the biggest breaks. They’re the ones who stayed proximal to a stable policy for five decades.”
The Extinction of Thinking
Thinking about: “A Neuronal Model of a Global Workspace” by Dehaene, Kerszberg, Changeux
Excerpt: “You lose the ability to detect that you have stopped thinking. ... You become fluent, productive, and empty. ... Remove the effort and you remove the thinker.”
The Sixth Sense: Mathematics
Thinking about: “Attention Is All You Need” by Vaswani et al
Excerpt: “The geometry shows you your actual philosophy, not the one you tell yourself at dinner parties. ... Search only answers the questions you already know how to ask. A sense shows you what is there before you have the words for it.”
Stakes
Thinking about: “Mastering the Game of Go Without Human Knowledge” by Silver et al
Excerpt: “AlphaGo loses a game and plays another. Humans lose resources, sovereignty, friends, and sleep. Stakes separate toys from real games.”
How to Build a Self-Optimizing System
Thinking about: “Human-level Control through Deep Reinforcement Learning” by Mnih et al
Excerpt: “Just by playing randomly, the same system reached a pro level across 49 different games. ... If you only learn from your last step, you never really learn anything. You just live reactively.”
Nudges and Leaps
Thinking about: “Adam: A Method for Stochastic Optimization” by Kingma, Ba
Excerpt: “Interviews test how someone performs in an interview. Trial projects test how someone performs on a trial project. ... Running Nudges and Leaps on a borrowed desire gets you to somewhere you don’t actually want to be, efficiently.”
Mixability
Thinking about: “Dropout” by Srivastava, Hinton et al
Excerpt: “Investing in becoming mixable is expensive upfront but pays forever. ... The person who can only thrive in one specific configuration is betting the configuration won’t change. It inevitably does.”
Thinking Mapped
Thinking about: “Efficient Estimation of Word Representations (Word2Vec)” by Mikolov et al
Excerpt: “The shape of your writing, your notes, your thinking expressed over years, can now be laid out as geography. ... The geometry is solved. The navigation is still ahead.”
Token Maxing
Thinking about: “Long Short-Term Memory” by Hochreiter, Schmidhuber
Excerpt: “The tool trains you to settle for average while you’re training it to produce average at acceptable levels. ... The person with only taste is slow. The person with only tools is generic.”
Auto-Averaging Machine
Thinking about: “Learning Representations by Back-propagating Errors” by Rumelhart, Hinton, Williams
Excerpt: “The most dangerous flattery is the kind you mistake for your own mind. ... The next breakthrough will not be burned at the stake. It will be autocorrected.”
Can Machines Feel Pleasure?
Thinking about: “Computing Machinery and Intelligence” by Turing
Excerpt: “When someone says a machine cannot feel pleasure the question is whether humans are trustworthy judges. The record says they are not. ... The gap between a human running on mimetic desire and a machine running on trained language is smaller than anyone admits.”