#AgenticAI orchestration, the next AI issue for CIOs to tackle techtarget.com/searchcustome… via @techtargetnews
→ View original post on X — @pandeyajay7, 2026-01-02 01:54 UTC
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#AgenticAI orchestration, the next AI issue for CIOs to tackle techtarget.com/searchcustome… via @techtargetnews
→ View original post on X — @pandeyajay7, 2026-01-02 01:54 UTC
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#AgenticAI Takes Over 11 Shocking 2026 Predictions via @forbes forbes.com/sites/markminevic…
→ View original post on X — @pandeyajay7, 2026-01-02 01:54 UTC
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Meta Expands AI Portfolio As It Acquires #AgenticAI Company Manus medianama.com/2025/12/223-me…
→ View original post on X — @pandeyajay7, 2026-01-02 01:53 UTC
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Grok is going to be the AI that runs Tesla cars, xAI, Neuralink, and Optimus, among other things. It makes a lot of sense for Tesla to invest in xAI, but I'm not so sure it makes sense to put xAI inside Tesla. If I was Elon, I would go for an investment rather than a full-on
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Great discussion with @DrWallace about history of chatbots: Turing test, Eliza, minimalism, Loebner, and Moravec (I forgot about his interest operator).

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To fix evaluation, they built Terminal-Bench Pro: → 400 tasks across 8 domains
→ Zero contamination risk
→ Deterministic environments
→ Comprehensive test coverage Every other benchmark is broken. This is what rigorous agent evaluation actually looks like.
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Make a NY resolution to automate your routine work… Ask the Abacus AI Deep Agent to automate you day to day tasks for you Scheduled tasks can take care of ALL YOUR REPETITIVE CHORES

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An AI is running her company. I bet you hear that a LOT more in 2026.
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📊 Learn how to observe & evaluate agents on LangChain Academy 📊
— LangChain (@LangChain) 31 décembre 2025
Testing applications is essential to the development lifecycle, but LLM systems are non-deterministic – you can’t always predict how they will behave.
Add multi-turn interactions and tool-calling agents, and… pic.twitter.com/MGedeywILT
Learn how to observe & evaluate agents on LangChain Academy Testing applications is essential to the development lifecycle, but LLM systems are non-deterministic – you can’t always predict how they will behave. Add multi-turn interactions and tool-calling agents, and

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Congrats to our friends at @manusAI
! Manus has built one of the most disruptive agents of 2025. How is their agent built differently? We recently hosted a discussion with Manus co-founder Yichao "Peak" Ji on their context engineering approach — including strategies for