4. Moonshine support – Improved Memory Alpha, which would allow ChatGPT to access past conversations (currently in a limited Alpha release)
OPEN SOURCE
-
Ultra-Scale Playbook mobile optimization needs community contribution
By
–
Making the open-source “Ultra-Scale Playbook” mobile/phone friendly would be quite amazing if someone feels like contributing and wants to give it a try
-
Open Deep Research Agent with Configurable LLM Planning
By
–
Open Deep Research Deep research is one of the most popular agent use-cases. Here is an open deep researcher w/ ability to configure report structure, planner/writer LLMs, search APIs, search depth, etc. https://
youtu.be/2mSNIX-l_Zc Code: https://
github.com/langchain-ai/o
pen_deep_research
… -
Making Tinygrad a PyTorch Backend for Frontend Stickiness
By
–
i think you should make tinygrad a pytorch backend, frontend support and stickiness is a large part of why pytorch is successful and that's not easy to replicate
-
PyTorch Derived from Torch: Index Return Differences
By
–
i think you keep forgetting pytorch derived from torch, not numpy.
we fixed as much differences as we can, but torch always returned indices in torch -
Ultrascale Playbook: Hugging Face Spaces Resource Guide
By
–
link: link: https://
huggingface.co/spaces/nanotro
n/ultrascale-playbook
… -
OpenAI Strategy: Model Releases and Open Source o3-mini Alternative
By
–
they don't usually release models unless they've got a strong lead in some dimension. but would rather see oss o3-mini if they can't do that.
-
Open-source o3-mini models and small local AI advancement
By
–
Phone model. Here's why: 1. An o3-mini-level oss model is short-term inevitable. It will happen from somewhere, and it will happen soon. 2. Small local models still have a long way to go. A truly great <8B model will unlock many new uses: edge devices, small projects, etc.
-
Meta FAIR Research Evolution: Open Source Human-Robot Collaboration
By
–
A closer look at the evolution of the research from Meta FAIR that led to our latest open source work for human-robot collaboration. Details on Meta PARTNR https://
go.fb.me/ufdanx
