Agents
btw i had no idea what i was doing when i started this but learned so much about models in the process and feel like i have a much better se…
btw i had no idea what i was doing when i started this but learned so much about models in the process and feel like i have a much better sense of what’s happening under the hood managing someone (an
btw i had no idea what i was doing when i started this but learned so much about models in the process and feel like i have a much better sense of what’s happening under the hood managing someone (an agent) smarter than you tackle something you don’t understand is a great way to learn glance-vlm speedlab is now open source! read: https://glance.yohei.me/speed/ try: https://github.com/yoheinakajima/glance-speedlab turn any webcam into multiple live AI detectors (emotion, count, object), running locally ⚡ Recorded live on an Apple M5, one-question loop: PyTorch/…
Related
- developers talk about agent harnesses/orchestration like it's back-end architecture and that if they could only get it right, they can keep …
- what if we mapped older distributed systems patterns (like actor models or reactive, state-driven blackboards) to LLM agents?
- The daddy of baby AGI articulates what we all feel is missing in the current state of AI architecture
- okay i think this is a much better visualization of what i mean by 'log-centric agent architecture'
- i like that there are models called bert and ernie, but in all seriousness, this update looks impressive
Source: Yohei Nakajima (X) | 2026-09-24