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Architecting a Big Data Analytical Platform! #BigData #Analytics #DataScience #AI #MachineLearning #IoT #IIoT #PyTorch #Python #RStats #TensorFlow #Java #GoLang #CloudComputing #Serverless #DataScientist #Linux #Programming #Coding #100DaysofCode geni.us/Architecting-Platfor…
→ View original post on X — @gp_pulipaka, 2026-04-11 05:00 UTC
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Scikit-Learn and #ApacheSpark! #BigData #Analytics #DataScience #AI #MachineLearning #IoT #IIoT #PyTorch #Python #RStats #TensorFlow #Java #JavaScript #ReactJS #GoLang #CloudComputing #Serverless #DataScientist #Linux #Programming #Coding #100DaysofCode geni.us/Scikit-ApacheSpark References Microsoft. (2019, December 4). Set ACLs recursively for directories and files with Python (Azure Data Lake Storage). Microsoft Learn. Retrieved March 9, 2025, from learn.microsoft.com/en-us/az…
→ View original post on X — @gp_pulipaka, 2026-04-11 05:00 UTC
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Scaling #MachineLearning on Kubernetes and Kubeflow! #BigData #Analytics #DataScience #AI #IoT #IIoT #PyTorch #Python #RStats #TensorFlow #Java #ReactJS #GoLang #CloudComputing #Serverless #DataScientist #Linux #Programming #Coding #100DaysofCode geni.us/Kubernetes-Kubeflow References AWS. (2022, April 26). Build and deploy a scalable machine learning system on Kubernetes with Kubeflow on AWS. AWS Machine Learning Blog. Retrieved March 9, 2025, from aws.amazon.com/blogs/machine… Hassan, A. (2024, October 16). Scaling AI workflows with Kubeflow on Kubernetes. Medium. Retrieved March 9, 2025, from ahmadhassan131003.medium.com…
→ View original post on X — @gp_pulipaka, 2026-04-11 05:00 UTC
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Best #Books to Read! for 2023 – by @bookauthority! #BigData #Analytics #DataScience #AI #MachineLearning #IoT #IIoT #Python #RStats #TensorFlow #JavaScript #ReactJS #CloudComputing #Serverless #DataScientist #Linux #Programming #Coding #100DaysofCode lnkd.in/gxjbN9FP
→ View original post on X — @gp_pulipaka, 2026-04-11 04:57 UTC
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Graph Data Engineering with RDF Processing at the Scale of Planet. by – @gp_pulipaka #BigData #Analytics #DataScience #AI #MachineLearning #IoT #IIoT #PyTorch #Python #RStats #TensorFlow #Java #JavaScript #GoLang #CloudComputing #Serverless #DataScientist #Linux #Programming #Coding #100DaysofCode geni.us/RDF-Processing
→ View original post on X — @gp_pulipaka, 2026-04-11 04:57 UTC
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GridGain! #InMemoryComputing Platform! @gridgain #BigData #Analytics #DataScience #AI #MachineLearning #IoT #IIoT #PyTorch #Python #RStats #TensorFlow #CloudComputing #Serverless #DataScientist #Linux #Programming #Coding #100DaysofCode lnkd.in/gVc3JBsE
→ View original post on X — @gp_pulipaka, 2026-04-11 04:57 UTC
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OpenClaw v2026.4.10 just dropped 🦞 This one makes your agents smarter in conversations and way better at remembering things. Plus upgrades across video, voice, and reliability. Here’s what actually matters ↓ 1. Active Memory plugin This is a big one. Your agent now remembers for you. It automatically pulls: • Preferences • Context • Past conversations No more “remember this” every time. Conversations just flow naturally. You can inspect it with /verbose and tune how much memory it uses. 2. Codex provider Codex now has its own native integration. • Managed auth • Native threads • Model discovery Clean separation from OpenAI models. Better for dev-heavy workflows. 3. Local speech on macOS Talk Mode now supports local speech. Runs fully on-device. • Faster • Private • Handles interruptions Huge for voice-first setups. 4. generation upgrade Seedance 2.0 now supported. Better control over: • Duration • Resolution • Audio • Output consistency Agents can create better video now. 5. Microsoft Teams upgrades More control inside chats: • Pin and unpin • Read • React • List reactions 6. Small upgrades that matter • Live streaming messages in Matrix • New exec policy CLI commands • Better support for self-hosted models • Cleaner dreaming UI • Improved behavior for GPT-5 agents Plus a lot of security and stability improvements. Safer execution. Better startup. Fewer edge-case issues. No major breaking changes. Smooth update. How to update openclaw update openclaw –version npm install -g openclaw@latest Docker: pull latest image and restart This one is important. Agents are starting to feel like they actually remember and think. OpenClaw🦞 (@openclaw) OpenClaw 2026.4.10 🦞 🧠 Active Memory plugin 🎙️ local MLX Talk mode 🤖 Codex app-server harness plugin 🧾 Teams pins/reactions/read actions 🛡️ SSRF hardening + launchd fixes stability, but with attitude🦞 github.com/openclaw/openclaw… — https://nitter.net/openclaw/status/2042811598058742012#m
→ View original post on X — @scobleizer, 2026-04-11 03:52 UTC
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OpenClaw 2026.4.10 🦞 🧠 Active Memory plugin 🎙️ local MLX Talk mode 🤖 Codex app-server harness plugin 🧾 Teams pins/reactions/read actions 🛡️ SSRF hardening + launchd fixes stability, but with attitude🦞 github.com/openclaw/openclaw…
→ View original post on X — @scobleizer, 2026-04-11 03:46 UTC
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How has @levie evolved his business model over time? I found this 15 year old video in my vault of him: piped.video/RRz2O98gXv4?si=oouj… He's right. Everyone should go into AI with the expectation that it will rapidly evolve their business. He's been leading for many years now. Aaron Levie (@levie) The more I meet enterprise CIOs and AI leaders outside of tech, the more it’s obvious that if you’re building software that doesn’t have a great headless mode, you’re going to be at risk in the coming years. Asked a group of 20 IT leaders across banking, media, finance, and healthcare if they will have any vendors left in 3-5 years that don’t have a good API option for their service and it was a unanimous “no”. This is clearly going to change the nature of software going forward. You have to be completely comfortable serving up your value proposition as much through agent on or off your platform, as you are your own interface. I suspect most platforms will make it to the other side because of how forceful the trend will be, but of course some won’t if their heads in the sand. But on the other end, the upside is that in a world of 100X+ more agents doing work with with software than people ever did, there are far more use-cases to drive and be a part of. In many ways it’s a renaissance if you’re tied to critical data or workflows because of what customers can now use you for. It will certainly force an evolution of business models over time – whether you embed all of this agentic usage in a seat license or make it all consumption based – but dollars will always flow to where value is created. Going to be fun! — https://nitter.net/levie/status/2042759653281456218#m
→ View original post on X — @scobleizer, 2026-04-11 02:33 UTC
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Codex CLI: https://
developers.openai.com/codex/cli