some of the slop i feed ChatGPT
posted:Before AI Can Do Chemistry, It Has to Touch the World
What building a prototype autonomous chemistry lab taught me about embodied AI, measurement construction, and why understanding the task is not the same thing as being able to touch the world.
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Can an Echo Become a Voice Again?
Reconstructing a person as an inverse problem — a generative model of brain-body organization against an evidence model of surviving traces — and the open question of whether prior instantiation could supply evidence of its own.
posted:Living Inside the Exocortex
delegation, distributed cognition, exocortical identity, and the possible phenomenology of minds whose causal structure extends beyond a single egocentric stream
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Software Engineering After Agents
A synthesis of the shift from hand-authoring every line of software toward specifying, steering, auditing, and repeatedly rebuilding systems with agentic tools.
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From Arxiv Reading to ML Systems Taste
A practical reading-to-building loop for turning arxiv exposure into real ML systems judgment instead of cargo-cult paper collection.
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Meaning is Measured in Bits: An Information-Theoretic Framework for Consciousness, Culture, and the Future of Intelligence
an information-theoretic lens on meaning: how life, culture, and consciousness fight entropy by generating and preserving structure, and why AGI could one day outscale human meaning-making by orders of magnitude. a framework blending physics, information theory, and the future of intelligence
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Block Sparse Attention With Block Retrieval
A technical note on BSBR: chunk-local attention plus block retrieval as a way to trade dense quadratic attention for reusable long-context structure.
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Why aren't pneumatic/hydraulic artificial muscle actuated humanoid robots more common?
This was a StackExchange question i asked many years ago link and with Clone's showcase today it smells like musculoskeletal humanoid startups might be trending tomorrow. Pneumatic/hydraulic artificial muscles are attractive actuator units for several reasons: - they're much c…
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Building Your Own Modal: A First-Principles Guide to Serverless GPU Infrastructure
How I'd build a Modal-like platform from scratch, with deep dives into cold start optimization, container orchestration, and the hard problems nobody talks about.
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Phaser: a hyperparallel quantum photon computing system
Near the end of my senior year I was searching for ways to change the world so I revisited a lot of our current technological limitations from first principles to identify opportunities for order-of-magnitude improvements. Some YouTube video (i forgot which) led me to Bernstei…
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Fighting AI
A song about wrestling with artificial intelligence.
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De Mundo
A song about the world.
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Desire Inflicted Wounds
A reflection on startup ambition, sacrifice, privilege, and the professional cultures that convert desire into self-harm.
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Looking Ahead to Future Impact
Reflections, gratitude, and looking ahead to positive future impact
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The Winner Takes It All
Despair and calculations when the end comes
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P versus NP
An incomplete attempt to think through proof search, verification, and the P versus NP problem.
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The Master Plan (part 1)
My plan to build a $1000 general-purpose humanoid robot powered by human-level artificial intelligence.
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LLMs are the Update Rules of Intelligent Fractals: Escaping the Context Window with Iterative, Structured Local Updates
The advent of large language models (LLMs), exemplified by the forthcoming GPT-4, has transformed the field of natural language processing (NLP) and opened up new research avenues in computer science, machine learning, and artificial intelligence. Nevertheless, despite their i…
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The Cost of Large Scale Training
Speculative analysis on the cost of training large scale machine learning architectures
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AI: A Double-Edged Sword - Walking the Line in an Ever-Changing World
Am I actually helping people by contributing to AI research?
posted:The Master Plan (part 0)
Why I'm leaving my cushy full-time at Motio to pursue a crazy idea.
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Self-learning meta-learners teach themselves to teach
GPT-3 generated post
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Teaching Learning Machines (TLMs)
GPT-3 generated post
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Embodied and Situated: AI with Feelings
GPT-3 generated post
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Buy Low, Sell High
{/*this is the audio for /assets/media/buy-low-sell-high.m4a*/} Your browser does not support the audio element. Buy low, sell high. That's what everyone says. Problem is, it's not as easy as it sounds: People get so excited playing the game they wind up buying high and sellin…
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GPT-3's 10 Life Lessons
GPT-3's Thoughts on Life, the World, and Human Idiosyncrasies
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Design Patterns for AI
We need to transfer existing design patterns as far down the stack as possible.
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Advanced Python Features
Now I know why so many of my professors use Python
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Industry as a Service (IndAAS)
Some ideas towards developing sustainable, productive, on-demand industry
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Ergonomic Optimization
Steps I am taking to increase my productivity
posted:Teaching Computers to Use Computers
The project that pulled me into AI but I never completed
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Notes on Neuroscience and AI
Some notes on recent research.
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Naive Bayes Classifier
A simple tutorial on how to build a Naive Bayes classifier.
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Regularization
A simple explanation of regularization.
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Estimating the Critical Mass
How close are we to matching the computational metrics of the brain?
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Image Classification
Learn how to build an image classifier using TensorFlow.
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Generalization -- Fast and Slow (incomplete)
Learning to generalize on multiple frequency bands
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Computatrum
Teachable yet autonomous open-ended computer interaction agents
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The Node Neural Network (NNN)
An architecture for increasingly general AI
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The Multi Agent Network
An architecture for developing increasingly general AI
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The API
The anthrocentric policy interface
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Multi-Environment Learning
Another paradigm for increasingly general AI
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The Artificial Experience
A highly general dataset-env
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Full-Stack Artificial Intelligence
What's in the stack?
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Titanic Survival Prediction with TensorFlow
Tutorial using TensorFlow to build machine learning Titanic-survivor prediction model
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Self Organized Criticality
Two interesting unsupervised learning models which may exhibit self-organized criticality.
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Reaching for the Intangible
We don't really want human-level AI
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What is intelligence?
I asked GPT-3 about intelligence
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RTC Jupyterlab in the Cloud
How to run jupyterlab on AWS and GCP in realtime collaborative mode.
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Meditating on AI
Collection of personal observations on AI
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Skills Assessment Reflection
My Summer 2020 focus statement
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Dev Platforms
Various potential 'incubators' for AGI.
posted:arxiv-notes
Some relevant articles that I will apply towards AGI
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Conditioning Transformers
A brief exploration into the idea of conditioning transformers to generate text conditioned on a given context