Many teams are finding their 'AI experts' lack fundamental knowledge of how models work or where they run. Explore the reasons behind this competence gap, the risks of misrepresentation, and how to navigate the current AI landscape.
Explore why artificial intelligence predominantly uses static neuron activations instead of more biologically accurate dynamic neurons. This analysis delves into the computational challenges, training instability, and practical trade-offs driving AI's architectural choices.
Despite soaring claims of 10x to 1000x productivity boosts in software development from advanced AI, real-world evidence remains scarce. Explore why many are skeptical of 'PhD-level' AI and how economic structures might impact actual productivity gains.
Explore the debate on AI regulation, examining arguments for urgent intervention against societal harms like misinformation and polarization, versus concerns about stifling innovation and economic growth.
Explore cutting-edge projects from September 2025, including AI-driven posture coaches, federated platforms for local communities, and advanced developer tools leveraging LLMs and other technologies.
Developers are increasingly reporting a decline in Claude Code's usefulness for programming, citing issues with library understanding and instruction adherence. Discover observed trends, potential causes, and alternative AI tools like Codex that some are finding more effective.
Many users report a significant decline in GPT-5's performance, citing increased hallucinations, slower responses, and a frustrating user experience. Explore the community's shared concerns and potential reasons behind these issues.
Explore how the rise of AI and LLMs is transforming the way developers find solutions, leading many to shift away from Stack Overflow, while others find new ways to integrate both resources.
Explore the complex reasons why Internet Service Providers are unlikely to become AI service providers, from massive investment hurdles to fundamental business strategy differences, and discover what truly bottlenecks AI performance.
Exploring whether programmers are truly lagging if they're not using AI for coding. This discussion offers diverse developer viewpoints, practical tips for AI adoption, and concerns about skill preservation.