Nicolay Gerold
@nicolaygerold
Nicolay Gerold
LNO: Framework to prioritize time. There are leverage, neutral, and overhead tasks, where you get 10x, 1x or < 1x output. You should focus your best and the most hours on leverage tasks. Delegate or strike N and O tasks. The same activity can be all three depending on the context and how you execute it. Track L, N, O tasks.
lennysnewsletter.com • Shreyas Doshi on Pre-Mortems, the LNO Framework, the Three Levels of Product Work, Why Most Execution Problems Are Strategy Problems, and ROI vs. Opportunity Cost Thinking
Memory Considerations
Since co-occurrence matrices are square, they grow exponential with the number of entities being embedded. For 50k entities and a 32-bit data format, a dense matrix will already be at 10GB. 100k entities puts it at 40GB.
If you are trying to embed even more entities than that or have limited RAM available, you may need to use a... See more
Since co-occurrence matrices are square, they grow exponential with the number of entities being embedded. For 50k entities and a 32-bit data format, a dense matrix will already be at 10GB. 100k entities puts it at 40GB.
If you are trying to embed even more entities than that or have limited RAM available, you may need to use a... See more
What I've Learned Building Interactive Embedding Visualizations
📖 Introduction
ReactAgent is an experimental autonomous agent that uses GPT-4 language model to generate and compose React components from user stories. It is built with React, TailwindCSS, Typescript, Radix UI, Shandcn UI, and OpenAI API.
🚀 Features
ReactAgent is an experimental autonomous agent that uses GPT-4 language model to generate and compose React components from user stories. It is built with React, TailwindCSS, Typescript, Radix UI, Shandcn UI, and OpenAI API.
🚀 Features
- Generate React Components from user stories
- Compose React Components from existing components
- Use a
eylonmiz • GitHub - eylonmiz/react-agent: The open-source React.js Autonomous LLM Agent
Paul Graham: There are already a huge number of books written by (or for) people who are ambitious for fame but have nothing original to say. AI is going to multiply this number shockingly. ChatGPT is these people's dream.... See more
Related: AI will cause an increase in the number of PhDs in fields like education, where merely writing a dissertation of the
Zvi Mowshowitz • AI #32: Lie Detector
I think AI-generated writing will drive us more towards Substacks and other newsletters of people we trust, people we know engage with a certain topic deeply. Whether they use AI in the end will not matter as they are able to determine whether the output is correct or not.
I would love to read more from people who engage in certain topics deeply but do not have the time or skill to bring it on paper.
NeMo Guardrails enables developers to set up three kinds of boundaries:
- Topical guardrails prevent apps from veering off into undesired areas. For example, they keep customer service assistants from answering questions about the weather.
- Safety guardrails ensure apps respond with accurate, appropriate information. They can filter out unwanted
Testing framework for LLM Part
There probably are circuits that bias is towards alertness or interoception vs. exteroception.
Andrew Huberman • The Science of Emotions & Relationships
Iodine can decrease the inflammatory IL6.
Andrew Huberman • How to Control Your Metabolism by Thyroid & Growth Hormone
How to Write Clean Code in Python
towardsdatascience.com
STUMPY
STUMPY is a powerful and scalable Python library that efficiently computes something called the matrix profile, which is just an academic way of saying "for every (green) subsequence within your time series, automatically identify its corresponding nearest-neighbor (grey)":
What's important is that once you've computed your matrix profile... See more
STUMPY is a powerful and scalable Python library that efficiently computes something called the matrix profile, which is just an academic way of saying "for every (green) subsequence within your time series, automatically identify its corresponding nearest-neighbor (grey)":
What's important is that once you've computed your matrix profile... See more