Best of ChatGPT — September 2025

1. 1
   Article

   Hacker News·35w

   Doomscrolling: The Game

   A developer created a browser-based game called 'Doomscrolling' where players navigate through a Doom-inspired world using only scroll gestures. The project evolved from a failed attempt with GPT-4 to a successful implementation with GPT-5, incorporating real-time news headlines from RSS feeds as in-game elements. The development process showcased AI-assisted coding techniques, including creating standalone 'labs' for testing visual elements and using computational rendering instead of pre-made sprites.

   217

   26
2. 2
   Article

   Josh M.·35w

   GPT-5 is Trash.

   ChatGPT-5 has received significant criticism from users who report that responses are shorter, blander, and less engaging than previous versions. Despite being marketed as PhD-level intelligence, the model still makes basic errors in math and reasoning while suffering from hallucinations. OpenAI's removal of model selection options and implementation of an autoswitcher has frustrated users, leading many to believe this was a cost-saving measure rather than genuine improvement. The backlash was severe enough that OpenAI restored access to older models like GPT-4o.

   204

   40
3. 3
   Article

   Hacker News·36w

   MIT Study Finds Artificial Intelligence Use Reprograms the Brain, Leading to Cognitive Decline

   MIT researchers conducted a study using EEG brain scans to examine how ChatGPT usage affects cognitive function during essay writing tasks. The study found that students who relied on AI assistants showed weakened neural connectivity, impaired memory recall, and reduced sense of ownership over their work. Participants using ChatGPT were unable to quote from essays they had just written, while those using traditional methods or search engines maintained better cognitive engagement. The research suggests that AI dependency leads to cognitive offloading, where the brain adapts to rely on external tools at the expense of critical thinking and memory formation.

   119

   19
4. 4
   Video

   NetworkChuck·33w

   N8n AI Agents are INSANE!!

   Demonstrates how to create AI agents in n8n that combine language models with command-line tools and memory. Shows a practical example of building an agent that can check website connectivity by executing ping commands through ChatGPT integration, highlighting the potential for automating network monitoring and system administration tasks.

   105

   9
5. 5
   Article

   Codemotion·35w

   The world of programming has changed and with it the way to become a programmer

   Programming has evolved from learning a single language to guarantee employment in the 1980s to navigating an overwhelming landscape of technologies, frameworks, and career paths today. The abundance of choices creates decision paralysis and impostor syndrome among developers, while AI tools like ChatGPT and GitHub Copilot are changing how code is written. Despite technological advances, the core skills remain curiosity, logical problem-solving, and tenacity. Modern programmers must learn to manage information overload and focus on fundamental problem-solving abilities rather than chasing every new technology.

   83

   14
6. 6
   Article

   Hacker News·34w

   The Mac App Flea Market

   The Mac App Store is flooded with copycat AI chat applications that mimic ChatGPT's branding and design. These apps use nearly identical black-and-white icons and variations of "AI Chat Bot" naming patterns to confuse users. The irony is that the official ChatGPT desktop app isn't even available through the Mac App Store, only directly from OpenAI's website. This creates a marketplace resembling a counterfeit goods market where legitimate products are absent while knockoffs proliferate.

   35

   2
7. 7
   Article

   Reinier·36w

   Context Engineering, Clearly Explained

   Context engineering is a framework that encompasses prompts, memory, files, tools, and retrieval-augmented generation (RAG) to optimize how large language models generate responses. Unlike prompt engineering which focuses solely on input text, context engineering considers the entire information ecosystem that influences AI outputs, providing a more comprehensive approach to building reliable agentic systems and improving AI conversation consistency.

   31

   1
8. 8
   Article

   TechCentral·36w

   OpenAI’s staggering burn rate: $115-billion by 2029

   OpenAI has dramatically increased its projected spending to $115 billion through 2029, up $80 billion from previous estimates, as it scales infrastructure for ChatGPT and AI services. The company plans to develop custom chips with Broadcom and build its own data centers to control soaring cloud computing costs, with annual burn rates expected to reach $45 billion by 2028.

   13

   2
9. 9
   Article

   Watercooler·33w

   When Rate Limit Hits Your Vibe

   11

   2
10. 10
    Video

    YouTube·36w

    How to Get Ahead of 99% of People (with AI)

    A comprehensive guide to advanced ChatGPT techniques including creating master prompts (personal context documents), system prompts (behavior definitions), project folders for organized context, canvas feature for iterative editing, custom instructions for consistent formatting, and custom GPTs for reusable workflows. The approach focuses on providing AI with detailed context about your role, preferences, and goals to generate more accurate and personalized outputs.

    10