
The AI PMs getting hired in 2026 run Agent Loops that fix themselves.

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The AI PMs getting hired in 2026 run Agent Loops that fix themselves.
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Introducing Agent 2.0
— Runway (@runwayml) 25 juin 2026
Go from a simple prompt to fully realized marketing briefs and campaign assets right inside of Runway Agent. You can also easily analyze your performance data to improve your creative and scale it across platforms, formats and markets.
Agent is being built… pic.twitter.com/VZINWuEA7U
Introducing Agent 2.0 Go from a simple prompt to fully realized marketing briefs and campaign assets right inside of Runway Agent. You can also easily analyze your performance data to improve your creative and scale it across platforms, formats and markets. Agent is being built
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Organizations need to focus on embedding agentic AI in real-world workflows to drive measurable value. Execution is where the promise becomes reality.

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Customers Scaling AI Faster General Compute @fastinference launched the world's fastest inference cloud for AI agents, powered by SambaNova. Meanwhile, @ricoh is using SambaCloud for custom Japanese AI models and agentic business workflows, moving from tens of tokens per
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Build Faster Coding Agents SambaNova now supports the Responses API, giving AI engineers a cleaner way to connect modern coding agents to fast, production-ready models. Pair the Responses API with @MiniMax_AI M2.7 for repo edits, tests, patches, and high-volume coding

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Agents are being adopted very quickly and accelerating work. How this looks across OpenAI itself:

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Work at OpenAI is being transformed by agents, in every department. Across our entire company, people are using Codex to do work that is more complex, longer-running, and increasingly cross-functional. Our internal usage offers an early look at how agentic tools may reshape
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Act ONE was AI writing the code.
— Charly Wargnier (@DataChaz) 25 juin 2026
Act TWO is AI spotting crashes and pushing its own patches to production.
🚨 Enter @Sazabi.
They just locked in an $8M seed from YC, plus angels out of OpenAI and GitHub.
Their goal is to wipe out the cluttered, chaotic dashboard, and after… https://t.co/3GfVTGBgPr
Act ONE was AI writing the code. Act TWO is AI spotting crashes and pushing its own patches to production. Enter @Sazabi
. They just locked in an $8M seed from YC, plus angels out of OpenAI and GitHub. Their goal is to wipe out the cluttered, chaotic dashboard, and after

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Even when a robot is doing predictable, everyday tasks, it can struggle to adjust to disturbances like collisions. MIT’s "CALM" helps them stay on task by tracking the motions of a few human demos & averaging them into a path that’s easy to stick to: https://
bit.ly/3SY1dff

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This is a fascinating and important set of data which shows us where things are going, using OpenAI as a canary in the coal mine. The chatbot era is over, and agentic systems are coming to tasks beyond engineering. And skills show promise as a way to standardize AI use in firms.