Today we are shipping the Interactions API into GA, our new API designed to let you orchestrate across models and agents in the same interface, and is our new default API going forward. Interactions sets the stage for the new era of Agents : )
AUTOMATION
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OpenAI Daybreak models discover and patch critical vulnerabilities
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We're accelerating patching, in addition to vuln finding, with new tools and models in OpenAI Daybreak. Our models are now discovering and generating patches for critical vulns in major browsers, network infrastructure, and operating systems (such as FreeBSD and the Linux
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Vocal Turing Test: 45-minute business conversation
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The real Turing test for voice AI is not a polished two-minute support call
— AI Breakfast (@AiBreakfast) 22 juin 2026
It is whether it can hold its own in a 45-minute, high-stakes enterprise conversation.
Looks like @usebland is leading the charge https://t.co/xNeH3FJOFaThe real Turing test for voice AI is not a polite two-minute support call. It's its ability to hold its own in a high-stakes 45-minute business conversation. Looks like @usebland is leading the pack.
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Bland AI’s voice passes real Turing test for enterprise calls
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The real Turing test for voice AI is not a polished two-minute support call 😅
— Charly Wargnier (@DataChaz) 22 juin 2026
It is whether it can handle a 45-minute, high-stakes enterprise conversation.
From the demos the Bland team has shown me, they are clearly leading the charge.
A well-deserved $100M Series C 👏👏👏 https://t.co/dxghqq7uRzThe real Turing test for voice AI is not a polished two-minute support call It is whether it can handle a 45-minute, high-stakes enterprise conversation. From the demos the Bland team has shown me, they are clearly leading the charge. A well-deserved $100M Series C
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Repeatable method for managing agent cost and usage
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As agent adoption grows, teams need a repeatable method to build many agents safely, consistently, and reliably in production environments. Teams need shared ways to manage: Cost and usage
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Agentic systems fail at basics; making agents team workers praised
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I’ve had the opportunity to test a lot of agentic systems, they all tend to fail at the most basic points. Like ease of use, or how to get your colleagues to adopt them. One very clever thing you guys have done is making the agents part of the team, by making them workers. kudos
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Unitree demonstrates G1 humanoid robot voice-to-action capabilities
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#Unitree has demonstrated the voice-to-action capabilities of its humanoid robot G1. #humanoidtech #humanoid #robot #Robotics #AI #TechRevolution #TechInnovation #ArtificialInteligence #PhysicalAI @lexfridman @KirkDBorne @Ronald_vanLoon @erikbryn @antgrasso @sallyeaves
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One lean CLAUDE.md file with auto memory for workflows
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8/ The real setup, start to finish. One lean CLAUDE.md. Let auto memory handle lessons. Add path rules when it grows, skills for workflows. Most people manage 7 files to do what one file and the tool already handle.
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Claude Code’s auto memory eliminates the lessons.md file
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5/ The lessons.md file is now pointless. Claude Code has auto memory. It writes down what it learns about your project on its own, after you correct it, and reloads it next session. The tool already does the thing people are telling you to do by hand.
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Delos Workers: AI agents with persistent identity and memory
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Most AI agents reset the moment a task ends: you prompt, it runs, the context is gone.
— Chubby♨️ (@kimmonismus) 22 juin 2026
Delos Workers is built on the opposite assumption: Each agent keeps a standing identity and persistent memory, with its own email, phone number and Slack handle, so it carries context between… https://t.co/n2lCH5ZW3KMost AI agents reset as soon as a task ends: you give an instruction, it executes, the context disappears. Delos Workers is based on the opposite hypothesis: each agent maintains a permanent identity and persistent memory, with its own