Keep on to blur preview images; turn off to show them clearly
if you've been paying attention to richard sutton on "the era of experience" or karpathy on the limitations of LLMs then this piece by @drfeifei on world models and spatial intelligence is basically the next step of that conversation. amazing piece.
something new | past investing @a16z
New users get $5 in free credits to try Inference Engine 2.0. Join the GMI community: https://t.co/NsGRNstYjx Start testing here: https://t.co/h7zU2F1D8D
We're sharing/showcasing best of @github projects/repos. Follow to stay in loop. Promoting Open-Source Contributions. UNOFFICIAL, but followed by github
We tested Qwen3 Coder 480B A35B Instruct FP8 on GMI Cloud IE 2.0. It built a full Subscription Tracker scaffold with FastAPI, MongoDB, and JWT auth, plus README, curl tests, and a Dockerfile - all in one session. Fast, structured, and accurate.
New users get $5 in free credits to try Inference Engine 2.0. Join the GMI community: https://t.co/NsGRNstYjx Start testing here: https://t.co/h7zU2F1D8D
We explored GMI Cloud Inference Engine 2.0 @gmi_cloud - a unified API for running text, image, video, and audio models. No setup headaches. Just clean scaling and smooth outputs powered by NVIDIA DGX Cloud Lepton and GMI’s Cluster Engine. Here’s what we tested 👇
Performance improvements were easy to notice: • 1.46× faster inference • 25–49% higher throughput • 71% cheaper than the average V3 provider The new console UI makes deployment simple. We didn’t touch infra once. Everything runs through one API with elastic scaling built in.
卧槽，出大事了👀
我是河南人，不是中国人@yongchuTaffyOwO
é não foi dessa vez guys provavelmente o estagiário não repassou a nota vai ter que ser pelo caminho mais difícil mesmo 256/65536 já tá garantido
Kind / Bend / HVM / INets / λCalculus