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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/xNeH3FJOFa
The 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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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/dxghqq7uRz
The 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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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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Good governance does not mean slowing teams down. It's about enabling rapid iteration without losing visibility, control, or consistency. https://events.langchain.com/webinar/the-agent-development-lifecycle-101/ … Join @hwchase17 on June 24 and discover how teams go from
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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 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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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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2/ Anthropic lists the actual ways to steer Claude Code. There are seven, and they are not files you invent. CLAUDE.md. Rules. Skills. Subagents. Hooks. Output styles. System prompt. That is the real list. Everything else is noise.
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1/ The viral advice says make persona.md, lessons.md, references.md, glossary.md, and more. Claude Code does not read most of them. It auto-loads a specific set of files. The rest just sit there unless you import them by hand.
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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/n2lCH5ZW3K
Most 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