We're incredibly proud to congratulate our co-founder and CTO, @matei_zaharia
, on receiving the ACM Prize in Computing for his development of distributed data systems that have enabled large-scale machine learning, analytics, and AI. Matei's open-source contributions have
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ACM Prize Honors Matei Zaharia for Distributed Data Systems
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Context Engineering: Organizing Unstructured Data for AI Reasoning
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What is “Context Engineering”? It’s the discipline of stitching your unstructured mess—logs, chats, docs, images—into something an AI can actually reason over. → Vector DBs + hybrid search + embeddings to retrieve by meaning, not keywords. → Decisions anchored in your data, not generic pretraining.
→ View original post on X — @ronald_vanloon, 2026-04-08 15:00 UTC
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SVG Animation and CSS in GLM 5.1 Generative AI Model
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SVG has animation abilities baked in, but GLM 5.1 also embedded it in an HTML page and added some CSS animation
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PyTorch Foundation Receives Safetensors from Hugging Face
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We are giving away Safetensors to the @pytorch foundation (shepherded by the Linux Foundation)
— Julien Chaumond (@julien_c) 8 avril 2026
Our shared goal is to make the default serialization format for torch safe and performant. To unlock this, governance needs to be independent of @huggingface.
Looking forward to more… pic.twitter.com/otflk4kZktWe are giving away Safetensors to the @pytorch foundation (shepherded by the Linux Foundation) Our shared goal is to make the default serialization format for torch safe and performant. To unlock this, governance needs to be independent of @huggingface. Looking forward to more stakeholders contributing to Safetensors in the coming months 🔥
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Using LLMs for Automated Bug Generalization and Code Analysis
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As one non-limiting example, a sufficiently motivated engineer could, as a hobby project, build a pipeline to reverse engineer post-Mythos patches then describe the bugs found in markdown and tell a less-creative LLM “Generalize from this data set please against this code base.”
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Agent Trace Sharing JSONL Format Open Source Initiative
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1. Ideal is raw traces as JSONL files (cf https://
huggingface.co/changelog/agen
t-trace-viewer
…)
2. Users
3. apache 2.0
4. show off, share with peers, good for the world (similar to open-source in general) -
Building Custom AI Agents with LangChain Deep Agents
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"Claude Code isn't magic. The harness layer is just software, and software is something any dev can shape to fit how they want to work." Check out @Hacubu’s practical guide to building a custom agent with @LangChain’s Deep Agents, LangSmith, and ACP. blog.jetbrains.com/ai/2026/0…
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Custom Kernels Reduce GPU Memory Requirements for AI Models
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Yeah the custom kernels make the difference, most setups need 15-20GB for similar models
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Python Libraries for Data Science and Big Data
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Python Libraries for #DataScience by @Python_Dv #BigData #DataScientist
→ View original post on X — @ronald_vanloon, 2026-04-08 13:45 UTC
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Questioning embedding size and code optimization explanations
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Interesting. Is there an explanation for this? I mean the embedding size is smaller but that's probably hardly it? So more like a code optimization?