Uber burned through its entire 2026 AI budget by mid-April. Four months. Gone. In December, Uber rolled out Claude Code to roughly 5,000 engineers. Internal adoption took off so fast that the company set up a leaderboard ranking teams by total AI tool usage. Per-engineer API
AUTOMATION
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Hermes Agent Now Natively Supported on Windows for Agentic AI Workflows
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WINDOWS USERS, REJOICE
— Charly Wargnier (@DataChaz) 1 juin 2026
If you've been waiting for agentic AI workflows, Hermes Agent is now natively supported on @Windows 🔥
Check out the guide from @NOUS here:
→ https://t.co/5qCZWgTlG1pic.twitter.com/fCB4UsNSF9WINDOWS USERS, REJOICE If you've been waiting for agentic AI workflows, Hermes Agent is now natively supported on @Windows Check out the guide from @NOUS here: → https://
hermes-agent.nousresearch.com/docs/user-guid
e/windows-native
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Ego Agent: AI runtime outperforming headless setups for seamless automation
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4/ Why @ego_agent outperforms headless setups: → Shares your active Chrome state to skip auth loops.
→ Semantic snapshots read deeply nested iframes without̀ hallucinating. A TRUE first-class runtime for AI, not an afterthought. → https://
lite.ego.app macOS. 100% FREE. -
Agentic workflows automate outdated busywork
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Half the agentic workflows shipping right now are automating busywork that should have been killed years ago.
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Harness changes boost SWE-agent; Life-Harness confirms patching improvement
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When SWE-agent got a 64% lift from interface changes, @rohit4verse
's "The Harness Is Everything" (1.3M views) explained why. Life-Harness proves it again: 116/126 setups improved patching just the harness. Frozen models saw an 88.5% mean lift across 18 backbones. how it works: -
Rhetoric shifted from automate to augment but nothing changed
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Two weeks ago it was "automate most white collar work." Now it's "augment humans." Nothing actually changed except how they're talking about it.
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Codex works unprompted without frameworks or third-party
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The funny part is nothing of that is needed anymore – codex just does this unprompted on its own, no framework or 3rd-party needed.
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AI Efficiency Trap: Faster Tasks Could Cost Companies the Future
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The AI Efficiency Trap: Why Doing Things Faster Could Cost Companies The Future Many companies are using #AI to #automate #tasks, cut costs and speed up existing #workflows, but that approach risks missing the much bigger #opportunity. The real competitive #advantage will come
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New NVIDIA Cosmos 3 Model Provides Pretrained Foundation for Physical AI
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Trained on billions of samples across modalities, the model provides developers with a powerful pretrained foundation for building physical AI systems with less data and lower training costs. Read more in our technical blog: https://
developer.nvidia.com/blog/develop-p
hysical-ai-reasoning-world-and-action-models-with-nvidia-cosmos-3/
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NVIDIA AI launches Cosmos 3, first fully open omnimodel for Physical AI
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Introducing Cosmos 3: Our latest frontier model for Physical AI
— NVIDIA AI (@NVIDIAAI) 1 juin 2026
Cosmos 3 is the world’s first fully open omnimodel with native vision reasoning, world and action generation.
Today we’re releasing Super (32B) and Nano (8B) variants. pic.twitter.com/6UfkSA7kzQIntroducing Cosmos 3: Our latest frontier model for Physical AI Cosmos 3 is the world’s first fully open omnimodel with native vision reasoning, world and action generation. Today we’re releasing Super (32B) and Nano (8B) variants.