AI & Data Engineer
Prompts
Prompts
Instead of a few "God-models" dominating the AI landscape, we're likely to see a world with many smaller, specialized models:
How can businesses use AI to improve their business model?
How can AI be used to drive better capital allocation decisions?
Data is the new oil.
It's not what you know, but knowing what to ask that matters most.
What are the greatest risks and challenges to reliably charting a path to progress?
Decision tree for architecting your tech platform to meet AI requirements.
How to judge most productive agents for solving real world problems vs cost and effort?
A process or set of rules to be followed in calculations or other problem-solving operations.
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Accurate, high signal data is essential for training AI models.
It's no longer about search, but delivering the best answers fastest, in the right context.
Provides businesses with the tools and expertise they need to optimize their operations.
Build a Chat GPT3 app.
How to judge most productive agents for solving real world problems vs cost and effort?
Better people practice better habits.
Best practice tips for using Cursor AI / AI Coding Tools to code up an app.
Engineer discipline to systems so that users fall into good habits.
Conversational User Interfaces (CUIs), enable users to interact with LLMs through natural language, facilitating a more intuitive and engaging experience. CUIs are designed to understand and respond to user inputs in a conversational manner, allowing for dynamic and context-aware interactions.
Crypto and AI Feedback Loops Shape our Destiny.
The Easiest Way to Use Cursor to build apps.
The most valuable asset is high signal proprietary data.
Decentralized Physical Infrastructure Networks (DePIN) Architecture.
Leading projects of the DePIN ecosystem that are shaping the future of industry.
Analysis checklist for investigating DePIN business models and industry applications.
What proportion of time should you spend on building vs leveraging what already exists?
Here are the key points from Eric Schmidt's talk on AI at Stanford:
Every developer should know the essential roadmap of getting help on a problem they get stuck on.
Flow Engineering enhances the capabilities of Large Language Models (LLMs) by breaking down tasks into smaller steps and prompting the LLM to collaborate and interact with the environment and other agents to complete the task.
The best AI Software Engineer in world as at Sept 24.
LLM from Google.
Website | Trends
Experiment with LLMs to drive change by identifying key elements and processes where untapped opportunities exist to generate value.
Machine Learning.
Everything gets built twice, first in the mind and then in reality. Align intentions and energy to exert maximum force in the direction of collective purpose by recognizing potential, building belief and relentlessly focusing on distributing value.
Open source from Meta.
A neural radiance field (NeRF) is a neural network designed to generate new views of 3D scenes from a set of 2D images.
Latest model from OpenAI.
It's no longer about search, but delivering the best answers fastest, in the right context.
Pieter Levels is a self-taught developer and entrepreneur that uses a simple dev stack to launch and iterate on products ideas quickly.
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Replit
Google and AI set to disrupt shipping industry.
User Generated Content is big opportunity for AI.
v0 Dev.
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