Codex continues to blow my mind everyday! Had to make an ad hoc Codex for OSS grant today, and all I did was send codex an app shot and "can you take care of this?" Codex went and looked through my slack DMs/ chats and chronicle logs to find an API @jxnlco
's codex made couple
AUTOMATION
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Codex creates OSS grant from app screenshot and logs
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Software commoditized by AI, users cancel SaaS and vibe code
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I don't know if it's obvious information or not but if you talk to random people in San Francisco the general thing they say is that software is commoditized cause so easy to make anything with AI fast (like how I cancelled all my SaaS subscriptions and just vibe coded a
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AI Referees in Beach Volleyball: Enhancing Game or Changing Its Soul?
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#AI Referees the Sand: Real-Time Beach Volleyball Analysis — Enhancing the Game or Changing Its Soul?
— Ronald van Loon (@Ronald_vanLoon) 18 juin 2026
by @measure_plan
#ArtificialIntelligence #MachineLearning #ML pic.twitter.com/GbkTa4k2Ih#AI Referees the Sand: Real-Time Beach Volleyball Analysis — Enhancing the Game or Changing Its Soul?
by @measure_plan #ArtificialIntelligence #MachineLearning #ML -
AI transforms visual context into agentic outputs
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Every new interface changes what people and organizations can ask from technology.
— Antonio Grasso (@antgrasso) 18 juin 2026
With video in agentic workflows, AI can turn visual context, dashboards, and daily signals into outputs they can understand, share, and use.@hyperagentapp #HyperagentPartner https://t.co/OcsEtSOf2wEvery new interface changes what individuals and organizations can ask of technology. With video in agentic workflows, AI can transform visual context, dashboards, and daily signals into outputs that they can
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AI transforms empty dirt lot into hyper-realistic landscaping proposal
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ABSOLUTE MAGIC from @hyperagentapp ✨
— Charly Wargnier (@DataChaz) 18 juin 2026
they just hooked Google's new Gemini Omni API into a live workflow and changed physical design.
> Input: raw video of an empty dirt lot
> Output: hyper-realistic landscaping proposal rendered directly into the footage
Watch this 👀↓ https://t.co/sjSwfkbT2DABSOLUTE MAGIC from @hyperagentapp they just hooked Google's new Gemini Omni API into a live workflow and changed physical design. > Input: raw video of an empty dirt lot > Output: hyper-realistic landscaping proposal rendered directly into the footage Watch this ↓
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Claude’s Robodog Programming 20x Faster Than Humans but Still Fails
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New Frontier Red Team blog: Phase 2 of Project Fetch, where we test how well Claude can program a robodog. Opus 4.7, on its own, was ~20x faster than last year's best human team aided by Opus 4.1. (The robodog, alas, still failed to fetch a beach ball.)
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Context Graphs: Best Way for Businesses to Deploy Agentic Harnesses
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Context graphs will be the best way for businesses to enable and deploy agentic harnesses. There's a lot of context fragmentation across so many different tools in every company. A god-mode view that self-improves and self-organizes is the way tacit knowledge can be captured.
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Microsoft Teams introduces Viktor, first AI employee
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An assistant helps. A chatbot replies. An employee delivers.
— Nico (@nicos_ai) 18 juin 2026
Meet Viktor, Microsoft Teams just crossed that line.
The first AI employee in Microsoft Teams: it remembers what your team has done, sees where you're headed, and turns conversations into finished work before you… https://t.co/WvsdLYFPK1An assistant helps. A chatbot replies. An employee delivers. Meet Viktor, Microsoft Teams just crossed that line. The first AI employee in Microsoft Teams: it remembers what your team has done, sees where you're headed, and turns conversations into finished work before you
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Brain improves accuracy and reduces costs with full context
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With Brain, the computer starts each task with the full context of your projects, decisions, and sources, instead of starting from scratch. On tasks that require past context, Brain improves answer accuracy by 25%, recall by 16%, and reduces costs by 13%.
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Iteratively improve your agents for production with LangSmith
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✅ Take your agent from first run to production-ready through iterative cycles of improvement.
— LangChain (@LangChain) 18 juin 2026
✅ Learn how to observe and evaluate agents with LangSmith
✅ Build reliable agents that last pic.twitter.com/pXS87Pk47xTake your agent from first run to production-ready with iterative improvement cycles. Learn to observe and evaluate agents with LangSmith. Build reliable agents that last.