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Ever heard of an AI agent harness?
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TL;DR: Agentic AI is not just making work faster.
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Why the Next Frontier in AI Is Not Intelligence, but Reliability The Productivity Paradox The Invisible Workforce The Prototype Illusion The Cognitive Overload Problem Learning From Engineering Cognitive Gates The Real Frontier AI has made starting work a…
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TL;DR: Agentic AI is most powerful when it frees users from rigid interfaces and helps navigate open-ended reasoning spaces; the key is applying it where flexibility and synthesis matter, not everywhere by default.
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Moving From Tool-Calling to Code Execution In the past year, AI systems have started behaving less like static models and more like dynamic collaborators, connecting to tools, APIs, databases, and cloud systems on our behalf.
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I’ve been reflecting on how 𝑨𝑰 𝒂𝒈𝒆𝒏𝒕𝒔 built on large language models communicate, not with 0s and 1s but through tokens, hinting at a quiet shift in how information behaves.
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The Transformer model, introduced in the paper “Attention is All You Need”, has literally transformed modern natural language processing (NLP) and ignited the (re-) emergence of whole new other AI fields (most notably Generative AI).
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I am thrilled to share our advancements in therapeutic target discovery with Mantis-ML 2.0, now published in Science Advances!
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The battle for Greece’s next top model may have been over for this year… However, the battle’s still on in almost every machine learning task a data scientist comes across in their daily -and nightly- lives.
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Ever had an encounter with the most…awkward programming language?