Show HN: AI-powered simulations to practice real-life decisions (free sample)

Hacker News - AI
Jul 9, 2025 17:54
ronstark
1 views
hackernewsaidiscussion

Summary

PromptQuest has launched a free AI-powered simulation designed to help users practice real-life decision-making, such as managing for the first time. This tool demonstrates how AI can create interactive, realistic training environments, highlighting the growing role of AI in experiential learning and professional development.

Article URL: https://promptquest.co/first-time-manager-simulation-free/ Comments URL: https://news.ycombinator.com/item?id=44512984 Points: 1 # Comments: 1

Related Articles

Show HN: I built a social media app at 11 using AI and a phone

Hacker News - AIJul 9

An 11-year-old used AI tools and a smartphone to independently build a TikTok-inspired social media app, handling both the interface and core logic. AI assisted with debugging and learning programming concepts, highlighting how accessible AI technologies are empowering younger users to create complex projects. This example demonstrates AI's growing role as an educational aid and creative enabler for the next generation of developers.

Microsoft shares $500M in AI savings internally days after cutting 9,000 jobs

AI News - TechCrunchJul 9

Microsoft revealed it saved over $500 million last year in its call center operations thanks to AI, according to chief commercial officer Judson Althoff. This announcement comes just days after the company cut 9,000 jobs, highlighting both the significant cost-saving potential of AI and its impact on workforce dynamics in large organizations.

Show HN: A CUDA-Generating AI Agent

Hacker News - AIJul 9

MakoGenerate is an AI agent that automatically converts PyTorch code into optimized CUDA kernels, iteratively improving performance and correcting errors based on feedback from compilation and validation. Users can customize the process with prompts, documentation, and specific optimization goals, making it a flexible tool for accelerating deep learning workflows. This approach has significant implications for automating and streamlining the development of high-performance AI models on GPU hardware.