We deliver the lowest token cost through extreme co-design. As NVIDIA software optimizations increase token throughput, the value of your NVIDIA GPUs grows from the moment you invest in them. Learn more ➡️ nvda.ws/4me7HBr [Translated from EN to English]
SOFTWARE
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Google quietly releases offline-first AI dictation app on iOS
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Google quietly releases an offline-first AI dictation app on iOS techcrunch.com/2026/04/06/go… [image] [Translated from EN to English]
→ View original post on X — @scobleizer, 2026-04-06 18:55 UTC
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Dark mode availability gap despite technical feasibility
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There are websites and apps which can add a dark mode with a single prompt and they choose not to
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OSGym: Scalable Infrastructure for Computer Use AI Agents
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How do you train AI agents that can use computers like humans? Introducing OSGym: Scalable OS Infrastructure for Computer Use Agents. It’s large-scale training made possible by extensive infra optimization: • 1024 OS sandboxes running in parallel • $0.23 / sandbox / day (90% cost down) • 1420 trajectories per minute • 37× faster disk provisioning • 88% less physical disk usage • RAM-bound orchestration (10× scalable than CPU-bound) 🧵
→ View original post on X — @mit_csail, 2026-04-06 16:22 UTC
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Final Stage: Building a Cohesive Intelligent Platform from Description
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6/ The final stage was the App Build. Instead of duct-taped automations, I got a cohesive platform! It is an intelligent system that looks and feels like a custom software build, but it was generated entirely from my initial description.
→ View original post on X — @kimmonismus, 2026-04-06 16:04 UTC
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Salesforce launches new Slackbot AI agent against Microsoft Google
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Salesforce rolls out new Slackbot AI agent as it battles Microsoft and Google in workplace AI venturebeat.com/technology/s… [Translated from EN to English]
→ View original post on X — @craigbrownphd, 2026-04-06 15:50 UTC
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OSGym: Infrastructure for Training Computer Use Agents
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So why did the researchers develop OSGym? Training computer use agents is both a modeling problem & an infrastructure challenge: • Each task needs a full OS (GUI, apps, browser, etc.) • Scaling → massive CPU/RAM/disk costs • Random crashes from real software environments • Thousands of parallel runs required It's a key bottleneck, though it's not often discussed. [Translated from EN to English]
→ View original post on X — @mit_csail, 2026-04-06 15:25 UTC
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Google’s Agile Architecture for Analytics and AI on GCP
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Google's Agile Architecture for Analytics and AI on GCP! #BigData #Analytics #DataScience #AI #MachineLearning #IoT #IIoT #Python #RStats #TensorFlow #Java #JavaScript #ReactJS #Serverless #DataScientist #Linux #Programming #Coding #100DaysofCode geni.us/Analytics-GCP
→ View original post on X — @gp_pulipaka, 2026-04-06 14:26 UTC
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Google Cloud Cookbook: Big Data Analytics and Machine Learning Guide
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Google Cloud Cookbook! #BigData #Analytics #DataScience #AI #MachineLearning #IoT #IIoT #PyTorch #Python #RStats #TensorFlow #Java #JavaScript #ReactJS #GoLang #CloudComputing #Serverless #DataScientist #Linux #Books #Programming #Coding #100DaysofCode geni.us/Google-Cloud-Cookboo…
→ View original post on X — @gp_pulipaka, 2026-04-06 14:26 UTC
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Microsoft Shares VibeVoice GitHub Repository
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Github Repo: github.com/microsoft/VibeVoi… [Translated from EN to English]
→ View original post on X — @sumanth_077, 2026-04-06 14:12 UTC