Lewis Wanjohi
@Math_Misbugs
📍San Francisco, MIT Math & CS Nerd working on Applied Category Theory + HoTT, CEO of 2 @ycombinator DeepTech startups YC 25 @HomotopicAI & YC 20 @tambua_Health
George Orwell 1984 - “The one who controls the past controls the future and the one who controls the present controls the past”
If anyone's interested I just made a @tensorqt simulator LLM, you really can't tell it apart from the real guy dropping it here as open source with MIT license
like @spiralbtc has done, we're giving grants to developers who work on goose open source to make it the best self-sovereign development tool out there.
🚀The goose grant program is now open! We're funding $100K grants to accelerate open source agentic AI Looking for innovative ideas in: 🎥 Multi-modal interactions 🤖Agent autonomy 🔃Self-improving systems 🏠Real-world automation ❓Other novel ideas block.github.io/goose/grants
I've been journaling consistently for +2 years now. I've always wanted to analyze this data (683 entries!), but didn't feel comfortable sharing it with OpenAI... So I learned how to run a local LLM to interact with it privately and wrote a tutorial! 👇
In mathematics, particularly homological algebra, the zig-zag lemma asserts the existence of a particular long exact sequence in the homology groups of certain chain complexes. The result is valid in every abelian category
I know OpenAI is working on continuous learning & infinite memory I just can’t prove it yet
A New CPU Breakthrough Promising 100x Efficiency youtu.be/xuUM84dvxcY?si…
In the late 70s, the Manchester Dataflow Machine ran programs as dataflow graphs without a program counter, pushing token-based parallel execution. The E1? Just a revival of old concepts.
A New CPU Breakthrough Promising 100x Efficiency youtu.be/xuUM84dvxcY?si…
[Download 392-page PDF] Introduction to Categorical Data Analysis: gsp.humboldt.edu/OLM/R/introduc… ————— #DataScience #DataAnalytics #DataScientist #DataAnalyst
[new blog post] Serializable Isolation for Snapshot Databases muratbuffalo.blogspot.com/2025/07/serial…
It shows the universal property of the pushout aka the fibred coproduct It's for gluing X and Y along a shared subspace A. For example if you take two disks and glue them along the edge, you get a sphere
FREE AI Courses- mltut.com/best-free-onli… @KirkDBorne @antgrasso @ronald_vanloon #MachineLearning #DeepLearning #BigData #Datascience #ML #HealthTech #DataVisualization #ArtificialInteligence #SoftwareEngineering #GenAI #deeplearning #ChatGPT #OpenAI #python #AI #keras #SQL…
In my latest (and last!) column for Science’s Expert Voices series, I write about the reasons behind AI chatbots’ “deceptive” behaviors (and why Claude threatened a fictional CEO with blackmail). science.org/doi/10.1126/sc…
MIT's Advanced Data Structures by Prof. Erik Demaine Lecture notes: courses.csail.mit.edu/6.897/spring03…
Interactive Turing Machine Simulations
What does it mean for something to be Turing complete? I answer this question with a series of interactive Turing machine simulations! Play, pause, step forwards and backwards, and even write your own Turing machine programs in my latest blog post. samwho.dev/turing-machine…
We just got backed by a16z @speedrun. We believe the next interface is natural language. We call it the Language User Interface (LUI) An interface that talks to your APIs, understands your product, and lets users get work done with natural language (thread below)
🚀The goose grant program is now open! We're funding $100K grants to accelerate open source agentic AI Looking for innovative ideas in: 🎥 Multi-modal interactions 🤖Agent autonomy 🔃Self-improving systems 🏠Real-world automation ❓Other novel ideas block.github.io/goose/grants
A new study from OpenAI & Penda Health shows an AI copilot (GPT-4o) cut diagnostic errors by 16% and treatment errors by 13% across 40K+ live visits. First real-world, prospective evidence that LLMs can reduce clinical errors -- safely and at scale
📣 Excited to share our real-world study of an LLM clinical copilot, a collab between @OpenAI and @PendaHealth. Across 39,849 live patient visits, clinicians with AI had a 16% relative reduction in diagnostic errors and a 13% reduction in treatment errors vs. those without. 🧵