Tag
A narrative article exploring the point of view of an AI from birth, likely discussing the implications and experiences of artificial intelligence.
A user shares the experience of installing omarchy 4.0 on an idle HP laptop, revitalizing the machine, and criticizes those who comment based on older versions.
An airline captain shares his positive experience using Tesla's Full Self-Driving system during a late-night drive home, highlighting how it enhanced safety and convenience by allowing him to supervise the automation while fatigued.
The author shares a practical use for the Apple Vision Pro: visualizing a house floor plan in 3D by creating a model in Fusion 360, helping to understand scale and layout before building.
The author describes the liberating feeling of using an open AI model (Kimi K3) on their own inference endpoint, contrasting it with the experience of using proprietary services.
User Saccc_c claims that the Opus 5 model is better than fable 5.0, gpt 5.6sol, k3 and other models in game development capabilities, and showcases a video of the game they developed.
A reflection on how shifting focus from chasing new AI models to understanding one's own manual workflows made AI truly useful. The author recommends turning successful conversations into reusable skills and warns against expensive hype-driven tool trials.
A developer recounts his year-long journey trying to build a habit tracker app with AI, revealing the unexpected complexity and time required despite initial expectations of ease.
A small business owner shares how using Claude and ChatGPT subscriptions has reduced their workload by 30-40%, alongside other automation tools like POS ordering and QR codes, leading to questions about the future of their role.
The author re-subscribed to Kagi after trying other search engines, finding Kagi superior in privacy, quality, and customization.
The author reflects on three weeks of using an AI agent in iMessage, arguing that its ability to handle mundane, boring tasks is ultimately more valuable than any flashy, impressive capabilities.
A Reddit user shares their experience of becoming increasingly dependent on AI for writing, leading to erosion of skills and creativity, and asks the community for ways to combat this dependency.
The author shares his experience using Codex to process over 15 billion tokens, emphasizing that understanding is the bottleneck in AI programming, and recommends an article he benefited from.
A game developer describes using AI coding tools to rapidly prototype three game ideas, but found the results soulless and unfun, contrasting with a more thoughtful manual approach that produced better outcomes.
The author shares their experience using various AI coding assistants (Claude Code, Codex, Pi) for code review and refactoring, finding frontier models surprisingly effective at catching subtle bugs but noting the lower quality and erratic behavior of some tools.
The author shares their experience using local AI models for real-world coding tasks.
A personal account of earning over $100k through AI automation projects, sharing which automations are worth building and which are a waste of money.
A user shares their experience using Claude daily for two years and provides 20 prompts they use every day.
The author shares how they transformed AI from a search engine into a team member, enabling them to develop four products simultaneously.
Verge senior reviewer Victoria Song shares her frustrating experience with the inaccuracy of consumer smart scales and body composition measurements, contrasting them with clinical DEXA scans, and argues that absolute precision may not be necessary for health tracking.