HM Godoy 
Software & Security Updates A logic bug in the Linux kernel’s __ptrace_may_access() function has been reported, potentially allowing privilege escalation. Maintainers are reviewing the patch. A discussion thread asks: “What’s an open-source project you genuinely can’t believe is free?” – highlighting popular free tools like Blender, VLC, and FFmpeg. CRuby threads don’t offer true parallelism … Read more
Analysis This week’s top stories revolve around the dual nature of open-source AI: its rapid innovation versus emerging security concerns. The standout insight is that open-source AI is entering a strategic phase—both as a corporate strategy (Forrester’s OCX 2026) and as a trust-building tool (Red Hat). However, security flaws exposed by Okta and the OpenAI … Read more
The latest wave of open source and AI news signals a clear shift: AI is no longer just a tool for coders—it’s becoming a platform for everyone. From automating entry-level programming jobs to optimizing prompts without hand-tuning, the landscape is evolving fast. For open source enthusiasts, this means both risk and opportunity. The key is … Read more
Video by OpenSource via YouTube
POV: You spent 4 years studying computer science… then AI replaces entry-level jobs.
This graduate’s answer shocked everyone 😳
Do you think AI will make degrees useless or create new opportunities?
#computerscience #ai #programming #softwareengineer #kenya #graduates #artificialintelligence #coding #tech #shorts
Video by OpenAI via YouTube
Codex began as a tool for developers. Today, people are using it for much more: research, planning, file organization, automation, data analysis, presentations, and other everyday knowledge work.
In this OpenAI Forum conversation, Chris Nicholson of OpenAI Global Affairs speaks with Thibault Sottiaux, Head of Codex, about how Codex is evolving beyond software engineering and what that shift means for workers, teams, and organizations.
![[Webinar Recording] Zero Tuning. State-of-the-Art Predictions. How TabH2O Changes Tabular ML](https://i3.ytimg.com/vi/213RMfDLEIE/hqdefault.jpg)
Video by H2O.ai via YouTube
Catch the recording to explore TabH2O, H2O.ai’s foundation model for tabular machine learning.
In this session, you’ll learn how tabular foundation models work and see live how TabH2O delivers predictions in seconds.
Video by MLflow via YouTube
In the eighth installment of Mastering MLflow for GenAI, Jules Damji shows how to go beyond manual prompt iteration (covered in Notebook 1.5 / Episode 5) and use GEPA (Genetic‑Pareto) prompt optimization in MLflow to automatically evolve a baseline prompt into a stronger variant—while keeping everything versioned in the Prompt Registry and measurable with a clear before vs after comparison.
This episode uses a deliberately simple benchmark style inspired by short‑answer QA (similar in spirit to HotpotQA‑style “single token / one‑to‑two word” expectations): the model must stop being verbose and return only the expected short answer so an exact‑match scorer can fire cheaply (pure Python, no LLM calls in the scorer for this demo).
What you’ll learn
🔹 Automated prompt optimization with GEPA using MLflow’s integrated API: mlflow.genai.optimize_prompts
🔹 How to wire the three required pieces: training examples (input + expected output), a predict function (load prompt from registry → fill template → call LLM), and scorers (here: a @scorer exact‑match judge for fast iteration)
🔹 How GEPA’s loop works in practice: Evaluate → Reflect → Improve → Select → Repeat until convergence/budget
🔹 What “budget” means in this context (metric calls / iterations, not “dollars”), plus early stopping when improvements stall ( max_iterations_without_improvement in the walkthrough)
🔹 How optimization produces a new Prompt Registry version (baseline vs optimized), and how to read the run comparison from a weak baseline score to a strong post‑optimization score on the toy setup
Key takeaways
🔹 Scorer design is the product decision: exact match is great for crisp targets; LLM judges are for semantic nuance—but they change cost/latency inside optimization loops.
🔹 Prompt Registry + optimization is the scalable combo: treat optimized prompts as versioned artifacts, not one‑off string edits.
🔹 GEPA is meant to reduce the human “try prompt v17” grind by making improvement systematic—while MLflow keeps the evidence in traces/runs/metrics you can audit.
Resources
🔗 Notebook 1.8: https://github.com/dmatrix/mlflow-genai-tutorials/blob/main/08_prompt_optimization.ipynb
🎥 Full series playlist: https://youtube.com/playlist?list=PLaoPu6xpLk9EI99TuOjSgy-UuDWowJ_mR
📚 MLflow prompt optimization docs: https://mlflow.org/docs/latest/genai/prompt-registry/optimize-prompts/
Video by OpenCV via YouTube
OpenCV Live! returns with a new episode on one of the toughest problems in computer vision: camera and sensor calibration. Luckily for us, we’ve got Brandon Minor, CEO of Tangram Vision, to tell us how it’s done. Join our live stream to see the latest calibration technology and stick around for our giveaway of a free OpenCV University course to one lucky viewer.
OpenCV is a 501(c)(3) registered non-profit in the United States. See how you can support open source CV & AI: http://opencv.org/support/
Watch along for your chance to win during our live trivia segment, and participate in the live Q&A session with questions from you in the audience.
Become a paid member of the channel to help us make more episodes https://www.youtube.com/channel/UCkrcW82Y2kbgU-U9RaYfgxw/join
Got a cool project of your own? Send it to us and you may be featured https://www.jotform.com/form/233105358823151
Video by PyTorch via YouTube
PyTorch 2.12 includes major updates across compilation, distributed systems, export, graph capture, and accelerator support. Highlights include a new device-agnostic torch.accelerator.Graph API, up to 100x faster batched eigenvalue decomposition on CUDA, support for microscaling quantization formats in torch.export.save, and expanded CUDA, ROCm, XPU, MPS, and Arm platform support.
Join us on Wednesday, May 20 at 10:00 AM PT for a live Q&A with panelists Andrey Talman, Alban Desmaison, and Joe Spisak, moderated by Chris Gottbrath. The panel will provide a brief overview of the release and answer your questions live. Register today!
Topics include:
-Device-Agnostic Accelerator Graph Capture
-ProcessGroup Support in Custom Ops
-torch.export.save Support for Microscaling Quantization Formats
-Fused Adagrad Optimizer Support
-FlightRecorder Updates
-Multi-GPU and Multi-Node Profiling Improvements
-Updated Backend Selection for torch.linalg.eigh on CUDA
-Expanded CUDA, ROCm, XPU, MPS, and Arm Platform Support
Register today.
Panelists:
Andrey Talman is a Software Engineer at Meta, primarily focused on open source releases for PyTorch and its ecosystem libraries. He works on release management, continuous integration, and process improvements, ensuring high-quality and timely delivery of PyTorch and related projects.
Alban Desmaison is a Research Engineer at Meta and the Lead Core Maintainer of PyTorch.
Joe Spisak is Vice President of Product and Head of Open Source at Reflection AI. He is a PyTorch core maintainer, serves on the PyTorch Foundation Governing Board, and previously worked at Meta.
Moderator:
Chris Gottbrath is a Group Technical Program Manager supporting PyTorch at Meta and Chair of the PyTorch Foundation Marketing Committee.
Video by FOSSASIA via YouTube
Running multi-tenant Kubernetes with open source tools is complex—and resource requests and limits alone aren’t enough. This talk explores real-world challenges like cost attribution, noisy neighbor issues, and inefficient resource usage in shared clusters.
Learn key strategies for better scheduling, avoiding autoscaling pitfalls, and improving observability to run Kubernetes reliably at scale. Discover practical patterns to build efficient, cost-aware, and sustainable multi-tenant Kubernetes environments.
FOSSASIA Summit 2026 held in Bangkok, is Asia’s leading Open Source tech conference featuring sessions on #AI, #Cloud, #DevOps, #Open Hardware, #Security, #Web #Mobile Technologies, #Web3, and #Databases. Learn more: http://summit.fossasia.org
Session slides: https://eventyay.com/e/88882f3e/session/10357
#FOSSASIA #FOSSASIASummit #opensource #FOSS
