Category Archives: Human-Machine Interaction

Removing Ambiguity in Business Rules

In his recent article “Being Unambiguous Beyond Reasonable Doubt in Expressing Rules” Ron Ross gave an example of the kind of ambiguity that policy interpreters, business analysts, and IT professionals deal with daily. It’s a sentence from the California 2014 … Continue reading

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The importance of handwriting

The Economist published an interesting article “The importance of handwriting is becoming better understood”: “In modern life, writing means typing. Writing by hand has become an endangered species. But one series of studies has found a big advantage in note-taking … Continue reading

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Generative AI on the Peak of the 2023 Hype Cycle

On Aug 16, 2023 Gartner published a press release Gartner Places Generative AI on the Peak of Inflated Expectations on the 2023 Hype Cycle for Emerging Technologies: “While all eyes are on AI right now, CIOs and CTOs must also … Continue reading

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Towards Programming as Conversation

With LLMs taking the world, the prediction “What comes after serverless? Conversational Programming!” becomes a reality. It is interesting that even in 1967 Marvin Minsky understood the possibility of a 2-way conversation between programmer and computer, where the program is … Continue reading

Posted in Human-Machine Interaction, LLM, Microservices, Software Development, Trends | Leave a comment

An active repository of all human knowledge?

Yann LeCun tweeted: “Imagine a future in which your daily interaction with the world of information is mediated by an AI assistant. This AI assistant would be like an active repository of all human knowledge. It will become your best … Continue reading

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Human-Machine Conversations: Dynamic Planning and Composition

This article summarizes recent advances in dynamic planning for human-to-assistant conversations. Many types of conversations, from gathering information to offering recommendations, require a flexible approach and the ability to modify the original plan for the conversation based on its flow. … Continue reading

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A new interface?

Prof. Toby Walsh shared “Bard, Bing and Baidu: how big tech’s AI race will transform search – and all of computing”: “When Microsoft launched Windows, it was the start of a revolution. Rather than typing cryptic instructions, we could just … Continue reading

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Meet Bard, Google’s Answer to ChatGPT

WIRED just published comments on today’s announcement that Google will roll out a chatbot named Bard “in the coming weeks.” The launch appears to be a response to ChatGPT, the sensationally popular artificial intelligence chatbot developed by startup OpenAI with funding from … Continue reading

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Google Chain of Thought

On Jan 18, 2023 Jeff Dean, Senior Fellow and SVP of Google Research, published “Google Research, 2022 & Beyond: Language, Vision and Generative Models” that could be treated as a response to ChatGPT boom without mentioning its explicitly. In particular, it … Continue reading

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Could ChatGPT Generate Decision Models?

If ChatGPT claims to generate working code from a problem description in English, then it is only natural to ask it to generate the proper decision model. Jacob Feldman did it by asking ChatGPT to generate a decision model for a … Continue reading

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