The hottest Human-Machine Interaction Substack posts right now

And their main takeaways
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Top Technology Topics

Meaningmaking at work.

The Uncertainty Mindset (soon to become tbd) • 259 implied HN points • 21 Aug 24
🕹 Technology AI Development Product Management Human-Machine Interaction Software Design
  1. AI tools often fail because they can't understand the deeper meaning behind our decisions. They confuse what humans can intuitively interpret.
  2. Meaningmaking is crucial in many business processes. Humans make subjective decisions all the time that machines simply can't replicate.
  3. To create better AI products, we need to separate meaningmaking tasks from other work. This helps us design tools that support human decision-making instead of trying to replace it.

Turing's Yearning, Part 1

Technohumanism • 99 implied HN points • 01 Aug 24
🕹 Technology Artificial Intelligence Computing History Philosophy Human-Machine Interaction
  1. Alan Turing's foundational paper on artificial intelligence is often overlooked in favor of its famous concepts like the Turing Test. It's filled with strange ideas and a deep human yearning for understanding machines.
  2. The idea behind the Turing Test, where a computer tricks someone into thinking it's human, raises questions about what intelligence really is. Is being able to imitate intelligence the same as actually being intelligent?
  3. Turing's paper includes surprising claims and combines brilliant insights with odd assertions. It reflects his complicated thoughts on machines and intelligence, showing a deeper human story that resonates today.

Where AI wins.

The Uncertainty Mindset (soon to become tbd) • 199 implied HN points • 12 Jun 24
🕹 Technology AI Ethics Data Management Human-Machine Interaction Machine Learning
  1. AI is great at handling large amounts of data, analyzing it, and following specific rules. This is because it can process things faster and more consistently than humans.
  2. However, AI systems can't make meaning on their own; they need humans to help interpret complex data and decide what's important.
  3. The best use of AI is when it works alongside humans, each doing what they do best. This way, we can create workflows that are safe and effective.

Our Human Creativity Is Becoming More Uniform Due To ChatGPT

Cobus Greyling on LLMs, NLU, NLP, chatbots & voicebots • 39 implied HN points • 09 Jul 24
🕹 Technology AI Creativity Innovation Machine Learning Human-Machine Interaction
  1. Using ChatGPT for creativity can lead to less unique ideas among different users. This means many people might come up with similar concepts.
  2. People might feel more creative while using ChatGPT, but this doesn't always result in original or diverse thoughts.
  3. Reliance on a single AI tool can limit the creative process. It's important for new tools to encourage individual input instead of providing complete solutions right away.
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The Challenge to Human Creativity: Can AI Surpass Humans in Divergent Thinking?

UX Psychology • 218 implied HN points • 28 Sep 23
🔬 Science Artificial Intelligence Creativity Research Technology Human-Machine Interaction
  1. Artificial intelligence (AI) is challenging the notion that creativity is solely a human trait, with recent AI systems showcasing high-quality artistic and literary works.
  2. Comparisons between human and AI creativity, particularly in divergent thinking, demonstrate that while AI excels in some aspects, highly creative humans can still make surprising connections between concepts.
  3. Creative professionals like designers, artists, and writers may find that while AI can outperform average human creative thinking, uniquely human qualities such as intuition, emotional expressiveness, and cultural embeddedness continue to set humans apart in pushing creative boundaries.

The last millimetre problem

Interesting bits • 98 implied HN points • 07 Jun 23
🕹 Technology Interfaces Neurotechnology Human-Machine Interaction Immersion
  1. Our human-machine interfaces are closing the gap from real-time to anticipatory interfaces, through devices like AirPods and smartwatches.
  2. Technological advancements are enabling companies like Apple to move towards interfaces that react before users are even aware of their thoughts.
  3. Society is evolving into a digital superorganism, transforming how we communicate and think collectively.

Strong AI Creativity

Jakob Nielsen on UX • 15 implied HN points • 17 Oct 24
🕹 Technology AI Creativity Innovation Human-Machine Interaction Research
  1. AI is proving to be more creative than humans in generating ideas. Studies show that AI can outscore humans in creativity tasks, both when working alone and even in some co-creation scenarios.
  2. Humans tend to judge AI-generated ideas unfairly. There is a bias against AI, as its ideas are often rated lower just because people know they are from AI, even if the ideas are the same.
  3. AI is also outperforming human researchers in academic creativity. In comparing AI-generated research ideas to those from junior human scientists, AI scored better in novelty, excitement, and overall effectiveness.

Navigating the AI Transition? A good first step seems to be to distinguish the human from the machine

The Diary of a #DataCitizen • 1 HN point • 08 Sep 24
🕹 Technology Artificial Intelligence Data Governance Human-Machine Interaction Technology Ethics Emerging technologies
  1. It's important to clearly define what humans can do best, like being creative and making big decisions, and what AI can do well, like analyzing data and automating tasks. This helps us understand how to work together.
  2. AI should remain a tool for humans, not take over decision-making or replace human values. Keeping humans in control ensures that AI is used ethically and responsibly.
  3. Understanding how AI impacts our lives is crucial in today's world. Everyone should learn about AI so they can adapt and make informed choices in their personal and professional lives.

A Frictionless World Is Boring As F*ck

Creative Destruction • 55 implied HN points • 12 Jan 24
🕹 Technology Digital technology Social Impact Ethics Human-Machine Interaction Tech industry
  1. The negative effects of digital technology are becoming more evident and people are noticing a shift towards more harm than benefit.
  2. The concept of "frictionless" living, promoted by technology, can lead to a sterile and unfulfilling future with a lack of connections and responsibility.
  3. To address these issues, there is a need to re-humanize technology and our way of living by fostering healthy relationships with devices, reframing the idea of friction, and exploring non-technological solutions for progress.

☎️ E15: In Conversation with Wisear on The State of Hearables, Brain Computer Interfaces and Augmented Reality 👂🎧🧠

Let Us Face the Future • 119 implied HN points • 18 Sep 23
🕹 Technology Augmented reality Wearable Technology Human-Machine Interaction
  1. Brain-computer interfaces (BCI) could be incorporated into user experience as early as 2025, providing a more seamless interaction with technology.
  2. The use of non-invasive ear biosignals for consumer neural interfaces could lead to faster scaling and data acquisition compared to invasive methods.
  3. Devices like AirPods could serve as the entry point for brain-computer interfaces, offering a way to collect biosignals and enable various control functions.

one with the machine

alice maz • 65 implied HN points • 07 Apr 23
🕹 Technology AI Human-Machine Interaction Machine Learning
  1. The computer should act less like a tool and more like an assistant, handling tasks based on your instructions.
  2. Computers should understand your intent and help find information in response to vague requests or half-formed thoughts.
  3. Being able to communicate with the computer in a natural dialogue is essential to achieving the first two points and creating a universal interface.

The Machines Are Talking About Us.

The Digital Anthropologist • 19 implied HN points • 07 Oct 23
🕹 Technology Artificial Intelligence Digital Life Human-Machine Interaction Digital anthropology Information Technology
  1. Machines are constantly communicating about us through various sounds and signals, becoming an integral part of our lives.
  2. The presence of machines in our digital world has shifted our focus from listening to nature's cues to paying attention to the technological hum around us.
  3. As we continue to interact and evolve alongside machines, there is a potential future where we find balance between technological advancements and reconnecting with the natural world.

Episode 24: Burkhard on Qt Embedded Systems

burkhardstubert • 19 implied HN points • 06 Dec 21
🕹 Technology Embedded Systems User Interfaces Machine Learning Software Development Human-Machine Interaction
  1. Most machines have difficult user interfaces that frustrate users. They don't help regular users figure out how to operate the machines easily.
  2. User interfaces need to better understand people's needs and improve communication between humans and machines. This can lead to smarter, more productive experiences.
  3. Manufacturers should invest in better hardware and software today to improve user interfaces. This will help users do more with machines and ultimately sell more machines at higher prices.

The Luddite Fallacy Fallacy (or Why Mass Technological Unemployment is Inevitable)

Supermedicine • 4 implied HN points • 27 Apr 23
🕹 Technology Automation AI Future work Unemployment Human-Machine Interaction
  1. Technology creates more jobs than it destroys, but this trend won't last forever as technology advances
  2. Machine capabilities are constantly expanding while human capabilities are not evolving at the same pace
  3. As technology advances, virtually all work could be done by machines, leading to mass technological unemployment

Generative A-Eye #1 - 16th Sept,2024

Martin’s Newsletter • 0 implied HN points • 16 Sep 24
🕹 Technology AI Image Synthesis Computer Vision Human-Machine Interaction Data Privacy
  1. InstantDrag offers a new way to edit images by simply dragging, making it easier and faster than using complex commands. It's designed specifically for improving interactivity in image editing tools.
  2. The study on facial expression recognition introduces a method that doesn’t rely on traditional systems, aiming to better understand and represent human emotions. This could open new doors for AI in understanding human feelings.
  3. There's a growing concern about privacy in AI model training, particularly with generative models. Research shows that it's possible to reveal private images used in training, raising important questions about data safety.