Agents are being adopted very quickly and accelerating work. How this looks across OpenAI itself:
AUTOMATION
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OpenAI transforms work using agents and Codex internally
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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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AI coding startup Sazabi raises $8M from YC and OpenAI angels
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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/3GfVTGBgPrAct 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 -
MIT’s CALM helps robots stay on task after disturbances
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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 -
Chatbot era over, agentic systems emerging, skills standardize AI use
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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.
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Why users are switching from OpenClaw to Hyperagent
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why ppl are ditching OpenClaw for Hyperagent: OpenClaw: You're the weekend sysadmin, updates wipe your agent's memory, takes weeks to wire up. Hyperagent: Runs in browser, durable memory, migrates in minutes ↓
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Chillin’ with HyperAgent vs babysitting agents in OpenClaw
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me chillin’ while @hyperagentapp does all the work
— Charly Wargnier (@DataChaz) 25 juin 2026
vs
my colleague still babysitting his agents in @openclaw https://t.co/l0g3aD75T6 pic.twitter.com/tCr3hdTZJzme chillin’ while @hyperagentapp does all the work vs my colleague still babysitting his agents in @openclaw
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Evaluating AI insight speed for manufacturing, logistics, and edge
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Many organizations are now evaluating how quickly AI insights can influence operations. Because in environments like manufacturing, logistics, and industrial automation, even small delays can affect efficiency, precision, and responsiveness. Edge environments can help reduce
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Edge AI reduces latency for responsive operations near data
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The goal is not to replace the cloud.
It’s to support decision-making closer to where data is generated. That’s where edge AI environments can help reduce latency and support more responsive operations. This is exactly what Edge Control from @TMobileBusiness is designed to -
Enterprise AI Challenges: Timing Over Model Accuracy
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Enterprise AI challenges are not always about model accuracy.
In many operational environments, the issue is timing. The factory has already made the defect. The robot already moved. The process already drifted. When response times lag behind operations, even strong AI systems