character.ai Reviews

opencode Reviews

character.ai mentions (3)

• It's Time to Learn about Google TPUs in 2026

  – In 2024, Apple released a technical paper revealing that "Apple Intelligence" was trained on TPUs, bypassing NVIDIA entirely – Top AI models like Claude (Anthropic), Midjourney, and Character.ai rely heavily on Google because they offer better performance-per-dollar for massive Transformer models. - Source: dev.to / 6 months ago

• AI Girlfriend in 2025 vs. 2030: What Happens When She Finally Gets a Real Body?

  Honestly, 2025 is already insane enough. Platforms like Character AI and Pollybuzz are absolutely exploding. Millions of people around the world wake up and the first thing they say is “good morning” to their AI girlfriend, then spend three hours before bed doing steamy voice role-play that’s somehow more addictive than actual dating. But give it another five years? That exact same “she” might literally walk... - Source: dev.to / 7 months ago

• Meta is axing 600 roles across its AI division

  Meta's mission is to build the future of human connection totally makes sense if you assume they believe that the future of human connection is with an AI friend. That https://character.ai is so enormously popular with people who are under the age of 25 suggests that this is the future. And Meta is certainly look at https://character.ai with great interest, but also with concern. https://character.ai represents a... - Source: Hacker News / 9 months ago

opencode mentions (67)

• ZCode: Claude Code from the Makers of GLM

  Https://opencode.ai/ OpenCode was the first agent harness I used, and I have always like it. You can configure a wide variety of providers, but it's open source and has a number of core contributors. The other opinionated option is Pi (the Pi agent harness). This is a great lightweight option and also supports a number of providers. You can also use local model servers. - Source: Hacker News / 4 days ago

• AI for Less Popular Programming Languages

  OpenCode with GLM 5.2 wrote custom Emacs Lisp to pinpoint within the file where the missing or extra bracket could be. It rewrote the custom code to check various parts of the file. Each of those is a tool use and many, many tokens burned. The next step is to turn those custom scripts written by the AI agent into a tool to speed up the process, or a skill that shows how to use other tools to speed up the process. - Source: dev.to / 7 days ago

• How to Run Reliable Local LLM Agents on an RTX 3090: A Benchmark (5 Models, Priced in Watts)

  I gave GLM-4.5-Air (106B, open weights) 12 coding tasks through opencode on my RTX 3090. It scored 0% — never edited a single file. - Source: dev.to / 8 days ago

• The head chef model of AI collaboration

  Set up your stations. I work in two Ghostty terminals. The left side is for planning and viewing, the right for synchronous agents running through OpenCode. - Source: dev.to / 16 days ago

• Testing GLM-5.2 on OpenCode: I'm impressed!

  If you want to try it yourself: grab OpenCode, point it at OpenRouter, select GLM 5.2, and give it a real task instead of a benchmark. The z.ai docs have the rest of the details. - Source: dev.to / 17 days ago