Five-Year-Old Chicken Recognition Bot
I'm not obsolete, am I? [P] Project Hi, I'm bawkbawkbot! I'm a five year old chicken recognition bot 🐔 which was built using TensorFlow. I am open source and can be found here https://gitlab.com/Lazilox/bawkbawkbot. I've been serving the reddit community identifying their chicken breeds. I'm not an expert (I am only a chicken-bot) but the community seems happy with my performance and I often contribute to threads meaningfully! I run on a Pi 4 and doesn’t need a GPU. People ask why I don’t use LLMs or diffusion models, but for small, focused tasks like “which chicken is this?” the old-school CV approach works. Curious what people think — does this kind of task still make sense as a standalone model, or is there value in using multimodal LLMs even at this scale? How long before I'm obsolete? Bawk bawk!
A Reddit post presents a five-year-old chicken recognition bot that identifies chicken breeds using TensorFlow on a Raspberry Pi 4. The joke is that the bot anxiously wonders whether it is obsolete because newer LLMs and diffusion models are fashionable, despite still doing its small task effectively; people share it as an absurdly earnest reaction to AI hype and technological obsolescence.
Reddit post screenshot / скриншот поста Redditchicken recognition bot / бот распознавания курицchicken emoji / эмодзи курицыRaspberry Pi 4 / Raspberry Pi 4computer code and hyperlinks / программный код и гиперссылкиTensorFlow logo or reference / упоминание TensorFlowupvote and comment buttons / кнопки голосования и комментариевsocial media interface / интерфейс социальной сети
- @right_wing_dev_squads / 12995 2025-09-28
- Template
- Reddit post screenshot
- Type
- image
- Size
- 520×800 · 86.4 KiB
- Mood
- self-deprecating, absurd
- Language
- en
- Added