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Manufacturers shift AI decisions to edge in factories
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This is why many manufacturers are rethinking where AI decisions happen, not just how good those models are. The shift is moving decision-making to the edge of the network, inside the factory itself. That means:
→ No dependency on distant cloud infrastructure
→ Ultra-low -
Cloud latency problem in AI defect detection
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Here’s how the hidden latency problem works. A production line runs 24/7. Cameras inspect products in low-latency production environments. AI detects defects. But if that decision happens in the cloud, here’s what occurs:
→ Data leaves the factory → Gets sent to a remote -
Editing one row in optimizer_rules sheet changes every prompt style
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Watch this: I edit one row in the optimizer_rules tab of the Sheet…
— Linus ✦ Ekenstam (@LinusEkenstam) 17 juin 2026
…regenerate…
…and every prompt changes style. The app's behavior lives in a spreadsheet or database that anyone on the team can tune. pic.twitter.com/yUUsihxHVaWatch this: I edit one row in the optimizer_rules tab of the Sheet… …regenerate… …and every prompt changes style. The app's behavior lives in a spreadsheet or database that anyone on the team can tune.
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OpenAI profitable on customers; automating AI research to cut training costs
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If the leaked financial data is right, OpenAI is profitable on serving customers with 40%+ gross margins. But training remains incredibly expensive. Automating AI research may also be a play to increase the efficiency of training: a superhuman researcher could do more with less.
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6 AI tools to make money this month
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6 AI tools you can use to make money this month. Bookmark this: ChatGPT — writing & ad copy
Claude — ghostwriting
Canva AI — social posts & ads
ElevenLabs — voiceovers
Midjourney — art to sell
Zapier -
Nitrosend Unveils AI-Native Email Platform
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Nitrosend has launched an AI-native email platform that users can run from within Codex, ChatGPT, Claude, Cursor, or any other MCP agent.
— 🚨 AI News | TestingCatalog (@testingcatalog) 17 juin 2026
It can create newsletters, transactional messages, and branching sequences, all in editable markup.
Vibe emailing 👀 https://t.co/Nn2hDlnJXR pic.twitter.com/SdL5n1V3LnNitrosend has launched an AI-native email platform that users can run from Codex, ChatGPT, Claude, Cursor, or any other MCP agent. It can generate newsletters, transactional messages, and branched sequences, all in editable markup.
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Humanoid robots move from demos to deployment with Physical AI
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Humanoid robots are moving from demos to deployment, and Physical AI is the reason.
— Bernard Marr (@BernardMarr) 17 juin 2026
Physical AI brings together perception, real-time learning, and embodied action, so robots can navigate human spaces, adapt to changing environments, and work safely alongside people.
In this… pic.twitter.com/48jA6OrxKUHumanoid robots are moving from demos to deployment, and Physical AI is the reason. Physical AI brings together perception, real-time learning, and embodied action, so robots can navigate human spaces, adapt to changing environments, and work safely alongside people. In this
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Enhancing School Efficiency: Automating Administrative Tasks with AI
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Enhancing School Efficiency: Automating Administrative Tasks with #AI
by @antgrasso #ArtificialIntelligence #MachineLearning #ML -
The missing layer in AI agent pipelines: acting on data
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The missing layer in most AI agent pipelines!
— Sumanth (@Sumanth_077) 17 juin 2026
AI agents are great at collecting data from the web. The gap shows up when they need to act on it – writing results to Notion, posting to Slack, updating a GitHub repo.
Apify is a platform where developers build and run Actors -… pic.twitter.com/YUI7TB2sJkThe missing layer in most AI agent pipelines! AI agents are great at collecting data from the web. The gap shows up when they need to act on it – writing results to Notion, posting to Slack, updating a GitHub repo. Apify is a platform where developers build and run Actors –