🤖 Everyone asks whether AI will replace researchers.
Aleks Bass sees a different future.
Instead of spending hours manually coding every interview and comment, AI can handle the repetitive work—giving researchers more time to validate insights, spot patterns, and ask better questions.
✨ More context.
📊 Better analysis.
🧠 Smarter decisions.
The future of research isn’t AI *instead* of humans.
It’s AI helping humans understand people better.
🎧 Watch the full conversation with Aleks Bass, CPTO of Typeform, on *The Dialogue Architects*.
Security & Vulnerabilities A critical Linux kernel vulnerability, GhostLock (CVE-2026-43499), affects kernels 2.6.39 through 7.1, enabling stack use-after-free and local privilege escalation. Patches are being prepared. Expert-tested malware removal tools for 2026 are reviewed, emphasizing open-source options like ClamAV for cross-platform protection. Community & Events Africa Wiki Women Community Roundtable 2026 will discuss responsible AI … Read more
The Open Source AI Revolution: Hype vs. Reality This week’s news swirls around open source AI—its safety, its economic impact, and its geopolitical implications. Let’s cut through the noise. From fears of uncontrollable models to concrete evidence that openness boosts security, the landscape is shifting fast. One key takeaway: open source is not just an … Read more
Insight: The Open Source AI Stack Matures This week’s digest highlights a significant shift: open source AI is moving from experimental to production-ready. From browser-based LLMs (WebLLM) to efficient PyTorch training techniques, the ecosystem is lowering barriers for developers. Meanwhile, platforms like OpenSearch and Kubernetes tools (Capsule) show that open source communities are solving real-world … Read more
PyTorch 2.13 introduces updates across attention, compilation, distributed training, memory efficiency, Python support, and accelerator platforms. Highlights include FlexAttention support on Apple Silicon with up to approximately 12x speedup over SDPA on sparse patterns, the CuTeDSL "Native DSL" backend for key GPU operations, and nn.LinearCrossEntropyLoss to reduce peak GPU memory by up to 4x during large-vocabulary language model training.
On Wednesday, July 22, 2026, at 11 a.m. PT, PyTorch maintainers and contributors will provide a brief overview of the PyTorch 2.13 release and answer questions from the community live.
Topics will include:
– FlexAttention support on Apple Silicon and deterministic backward computation on CUDA
– The CuTeDSL "Native DSL" backend for Inductor
– nn.LinearCrossEntropyLoss for reducing peak GPU memory
– torchcomms for large-cluster training
– FSDP2 communication overlap improvements
– Torch wheel support for Python 3.15 on Linux, including free-threaded 3.15t builds
– Expanded ROCm, Arm, and Intel XPU platform support
The live Q&A will feature expert panelists Alban Desmaison, Andrey Talman, and Piotr Bialecki, with Chris Gottbrath moderating.
PyTorch 2.13 includes 3,328 commits from 526 contributors since PyTorch 2.12.
Learn how OpenSearch’s knn_vector field type powers semantic search — and see it running live on an OpenSearch cluster, all in under 6 minutes.
In this video, Ramya breaks down what knn_vector is, the key parameters you need to know when configuring it, and walks through a complete working example on OpenSearch Dashboards. By the end, you’ll know how to create a vector index, index a document with an embedding, and run your first semantic search query.
▶️ Full blog article (deep dive): https://www.instaclustr.com/blog/understanding-opensearch-vector-field-types-part-1-knn-vector/
▶️ How to create an OpenSearch cluster on Instaclustr: https://www.youtube.com/watch?v=2RU-YqW5zsk
NEW TO OPENSEARCH?
If you’re new to OpenSearch itself, check out the other videos on this channel for the basics — they’ll give you a helpful foundation for what’s covered in this video.
Run Large Language Models (LLMs) directly in the browser with WebLLM and WebGPU—no cloud APIs required. In this FOSSASIA Summit 2026 session, Warat Wongmaneekit explores how to build fast, private, and cost-effective on-device AI chatbots using open-source models and modern web technologies.
Learn how browser-based AI works, how WebGPU accelerates LLM inference, and the architecture behind deploying high-performance AI entirely on the client side. Perfect for web developers, AI engineers, and anyone interested in privacy-first, edge AI applications.
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
Video by CNCF [Cloud Native Computing Foundation] via YouTube
In this episode, CNCF Ambassador Thomas Schuetz explores Capsule for the first time, with CNCF Maintainer Oliver Baehler live on stream to navigate obstacles and elaborate on its design. Capsule is a sandbox project providing multi-tenancy and policy governance for Kubernetes.
For its core capabilities, Capsule features tenant isolation by grouping namespaces into logical tenant environments within a single shared cluster. Its self-service delegation empowers tenant owners to provision resources safely within boundaries without cluster-admin access. For policy governance, it automatically applies resource quotas, network isolation, and RBAC rules across specific tenants. Finally, it supports a native ecosystem, leveraging native Kubernetes custom resources and admission webhooks without adding complex layers.
Join us for this practical, live dive into Capsule!
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