The $776M Slack Bot and the Model That Won’t Ship

📰 Medium · Machine Learning

Learn how a Slack bot achieved $776M in labor-equivalent work in 30 days, while a cutting-edge AI model refuses to share its weights, and what this means for the future of AI development

advanced Published 13 Apr 2026

Action Steps

Build a Slack bot using a library like Slack SDK to automate tasks and analyze its potential impact on labor-equivalent work
Run experiments to compare the performance of different AI models, including those that share their weights and those that don't
Configure a Perplexity-like Computer agent to perform tasks like coding, research, and analysis
Test the limits of AI-powered tools in various industries and domains
Apply the insights from this article to develop new AI-powered products and services

Who Needs to Know This

This article is relevant for AI engineers, data scientists, and product managers who want to understand the current state of AI development and its potential applications in the industry. The team can discuss the implications of AI models that refuse to share their weights and the potential of AI-powered tools like Slack bots.

Key Insight

💡 The development of AI models that refuse to share their weights and the success of AI-powered tools like Slack bots are changing the landscape of AI development and its applications in the industry