Nicolay Gerold

1. Streamlining data exploration and analysis:

• Context-Aware Suggestions: Receive AI-powered suggestions for relevant tools, functions, and libraries based on your specific dataset and analysis goals.


• Contextual search for functions and libraries: Quickly find relevant functions and libraries from various programming languages, such as Python and R,

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A better type of backendConvex is the fullstack TypeScript development platform. Replace your database, server functions and glue code.

Twitter: network effects and code product differentiation creates lasting defensibility.

Generative AI can automate simple tasks

By automating simpler, tedious tasks (generating boilerplate code, fixing linter errors, generating unit tests, etc.), generative AI can help engineers focus on more complex tasks.

Generative AI can improve quality & reliability

Since generative AI models are trained on large codebases, they have the potential... See more

1. Don’t get attached to beliefs . Everything is probabilistic, everything is a best guess until proven otherwise. New information should make you update, even if just a little. It’s easier to have blind spots when you deal in absolutes and are inflexible.


2. Keep sending the signal to the people around you that you welcome constructive criticism and

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In addition to using our built-in capabilities, you can also define custom actions by making one or more APIs available to the GPT. Like plugins, actions allow GPTs to integrate external data or interact with the real-world. Connect GPTs to databases, plug them into emails, or make them your shopping assistant. For example, you could integrate a... See more

One interesting thing about LLMs is that they can actually recover (and without error loops). You can have a step that doesn't work right, and a later step can use its common-sense knowledge to ignore some of the missing results, conflicting information, etc. One of the problems with developing with LLMs is that the machine will often cover up... See more

AI wrappers and plugins

An AI wrapper is a simple application that sits between the AI and the user. The wrapper fulfills a specific function to augment the AI’s ability, for example, browse online, summarize a PDF, send an email, etc. It is a common way to simplify the interface for the end user instead of using the ChatGPT chat interface... See more