
Narinder Singh
13.3K posts

Narinder Singh
@singhns
Healthcare tech. Past - just tech. Married to my favorite economist @supkaur CEO & Co-Founder @lookdeephealth




Yeah. Another adorable new humanoid home robot🤖🏠 From Shenzhen-based robotics startup KNOWIN, a consumer-oriented humanoid home robot is being developed: Wheeled, it can chat, pour wine, do laundry, fold clothes, clean, play with children, and even learn in a messy real-life home environment. Driven by their self-developed next-generation embodied AI model architecture and synthetic data technology, this humanoid robot can operate autonomously. But the real goal is to achieve Level 3 autonomy (capable of independently completing long-chain tasks such as cleaning/laundry and being ready to respond at any time) within 1-1.5 years (<18 months). Skeptical? Yes, me too,need to see its complex autonomous capabilities for myself. It's worth mentioning that the founding members of the team are senior professionals from Huawei and DJI. Would you like a humanoid robot that can fold your clothes and chat with you while you relax? Share your thoughts…


I packaged up the "autoresearch" project into a new self-contained minimal repo if people would like to play over the weekend. It's basically nanochat LLM training core stripped down to a single-GPU, one file version of ~630 lines of code, then: - the human iterates on the prompt (.md) - the AI agent iterates on the training code (.py) The goal is to engineer your agents to make the fastest research progress indefinitely and without any of your own involvement. In the image, every dot is a complete LLM training run that lasts exactly 5 minutes. The agent works in an autonomous loop on a git feature branch and accumulates git commits to the training script as it finds better settings (of lower validation loss by the end) of the neural network architecture, the optimizer, all the hyperparameters, etc. You can imagine comparing the research progress of different prompts, different agents, etc. github.com/karpathy/autor… Part code, part sci-fi, and a pinch of psychosis :)










Loved the @Citrini7 thought piece. However seems unlikely we will have enough compute for this scenario in 2028, or even the early 2030s. Distillation, quantization and Edge AI cannot bridge the gap. AGI is an event horizon with a significant compute dependence.

We are genuinely cooked. I’m one of the most up-to-date people in on planet Earth when it comes to AI. But I will admit I was sort of mindlessly scrolling and I came across this video and I didn’t even think it was AI tell I realized this never happened in breaking bad.

Anthropic just took a big swipe at OpenAI's decision to put ads in ChatGPT. Anthropic is airing ads mocking ChatGPT ads during the Super Bowl, and they're hilarious 😅 Anthropic is also committing to no ads in Claude theverge.com/ai-artificial-…








