Rich Pixels is a neat little Python library for rendering images in the terminal using Unicode half-block images – I vibe coded up a tiny uv CLI utility that uses it
OPEN SOURCE
-
torch.export maturing for inference graphs in PyTorch
By
–
it comes with its own temporary friction, torch.export is still maturing for backward/training graphs and all effort over the past two years was put on inference maturity
-
torch.export: Compile-time autotuning for training without runtime JIT
By
–
if you want to avoid guards and do autotuning at compile-time, have no jit at runtime, consider torch.export; thats what you'd want.
in fact, @ezyang has been pushing it for some training workloads that dont want any jitting at runtime and ones that need a bunch of sharding info -
Apple Open-Sources FastVLM Lightning-Fast Vision-Language Model
By
–
Apple just released and open-sourced FastVLM!
— Sumanth (@Sumanth_077) 3 septembre 2025
FastVLM is a lightning-fast vision-language model that combines rapid image and text understanding with efficient on-device performance.
100% Open Source pic.twitter.com/xQ04GFIygsApple just released and open-sourced FastVLM! FastVLM is a lightning-fast vision-language model that combines rapid image and text understanding with efficient on-device performance. 100% Open Source
-
Snorkel Graph Benchmark Shows Significant Room for Advancement
By
–
As the leaderboard shows, this benchmark is far from saturation ATM: https://
leaderboard.snorkel.ai/category/snork
elgraph
… We’re looking forward to seeing continued advances in this skill, particularly in open models. -
Deep Agents Integration into LangChain 1.0 Question
By
–
is this basically folding deepagents into langchain 1.0?
-
Open Source AI Models: Safety Benefits Gaining Recognition
By
–
Great to see the safety benefits of Open Source models starting to get discussed more.
-
BEHAVIOR Benchmark Advances Embodied AI and Robotics Research
By
–
(3/N) As a reminder, BEHAVIOR is an open-source benchmark built on top of NVIDIA’s Omniverse, designed to enable and evaluate embodied AI and robotics solutions. It includes 1,000 everyday household tasks grounded in human needs. Paper: https://
arxiv.org/abs/2403.09227
What’s new in -
OpenPipe AI Team Achieves Remarkable Results
By
–
Another incredible result from the @OpenPipeAI team.
-
Core Combinators Required for Functional Programming Systems
By
–
RQ2: Which core set of 'combinators' is necessary to get anything done? This has been my focus today! The original Joy implementation has many built-in primitives within the core VM: from the obvious function calling, looping and stepping through lists, to linear recursion