Nicolay Gerold

In an Agentic UX, an AI agent pulls weight across 3 categories: cognitive, creative, and logistical.

• Cognitive weight — the built-in agent pulls analysis and decision-making weight


• Creative weight — the built-in agent takes on visualization and media creation weight


• Logistical weight — the built-in agent takes tasks on operational and workflow

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React Date Picker

A simple and reusable Datepicker component for React (Demo)

Short-term stress and the release of epinephrine are important for combatting infection through inflammation. It also brings certain aspects of your brain alive to narrow your focus to do intentionally actions. Epinephrine releases the killer cells in the immune system that clean the system. Super-oxygenation breathing (Wim Hoff) liberates... See more

Gresham’s Law, familiar to most people, states that bad currencies eventually drive good currencies out of circulation. But there’s a corollary to Gresham’s Law, called Thier’s Law, which says that Gresham’s Law applies only to “fiat currencies,” that is, in cases where the government (or some similar authority) decrees that both currencies have... See more

Overview

AIConfig saves prompts, models and model parameters as source control friendly configs. This allows you to iterate on prompts and model parameters separately from your application code .

1. Prompts as configs : a standardized JSON format to store generative AI model settings, prompt inputs/outputs, and flexible metadata.


2. Model-agnostic SDK :

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Testosterone binds to the amygdala and lowers the stress and anxiety threshold leading to more novelty seeking.

5. Prioritizing Quality Data From The Start

Source:https://pair.withgoogle.com/guidebook/patterns

The foundation of any successful AI project is good data. Poor data management can lead to “data cascades,” where one issue leads to another, impacting the user experience. Investing in robust data practices early on can prevent these pitfalls.

Aim For:... See more

This is why I say, inspired by the words of management consultant, Peter Drucker — utility eats value for breakfast .

While customers admitted that products like bagels, bananas, donuts or drinking water also have value and were “hired” on occasion, which makes these products a novelty in this case — McDonald’s milkshakes provided the best utility .... See more

Participants noted that the impact on models was hard to assess when the ground truth involved live data—for example, Sm2 felt strongly about the negative impact of feedback delays on their ML pipelines: I have no idea how well [models] actually perform on live data. Feedback is always delayed by at least 2 weeks. Sometimes we might not have... See more