Chatbots

ChatUX

Chatbots have a PR problem.

On one hand, conversational AI combines large language models (“LLMs”), vast data sets, and interesting influence layers to provide insightful ideas and answers to almost any question. Chatbots provide a personalized interaction with education, content creator, language learning support, financial advice, customer assistance, helpful reminders for important tasks, co-founder assistance, and even mental health therapy. These AI companions munch on mediocre and are always available to chat. ChatGPT is the most well-known example, but other content creation methods, bot building platforms, and layered tools, such as BEN BOT and ChatSpot, are being activated in creative ways.

On the other hand, when most humans hear the word “chatbot”, the word serves up a slimy aftertaste. We think of automated help desks that put us in circles, fake followers on social media, the search tool that can never quite find an question, or that lead generation form that only wants to guide you to the next sale. Even with the best intention, a history of hacks fuel mistrust and makes it hard to avoid the spammy connotation.

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Hallucinating is when AI confidently delivers inaccurate responses.

Chatbots may not be able to interpret complex interactions, decode user intent, express empathy, or keep up with the rapid pace of change in the world, but it feels naive to pretend that conversational AI is not efficacious.

As we continue learning how to interact with this innovation, we need a term that is more inviting. A term that evokes trust. One that describes an intelligent counterpart with no agenda. When the user experience is not misguided by motive and AI is truly conversational, “ChatUX” may be the term we seek.

ChatUX describes the interaction between humans and software, unlocked by conversational AI.

Chat is an informal conversation or to talk in a friendly and informal way. UX is short for User Experience, which describes how we interact with a product or service. It includes our perception of value, ease of use, and efficiency. “ChatUX” can help us understand how to interact with emerging technology, while also improving the chatbot’s image.

ChatUX is not spam. ChatUX won’t take your job, sell you something you don’t want, or take over the world. ChatUX requires ingenuity. It is translation technology designed to access endless insight, with an ability to communicate it effectively. It’s software that speaks our language while supporting a timely, interesting, accurate, unbiased, and meaningful experience for anyone curious and generous enough to build beyond the status quo.

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I’m hosting a new podcast! Stay tuned for more caffeinated conversations around technology, entrepreneurship, intrapreneurship, and community building.

By Ben McDougal, ago

Phygital

Phygital is a nerdy good term.

The combination of physical and digital is something humanity has been experimenting with for centuries. The history of electronic engineering is straight inventive and the conversational AI powering our new ChatUX in BEN BOT knew about the concept before I even asked.

Perhaps this means I’m late to the party, but at web3dsm last week, I was introduced to this “phygital” word. As I’ve thought more about it, phygital feels like a term to help us think about the blends between physical and digital worlds. Phygital experiences have connectivity (or potential to do so) in almost everything man-made.

Phygital products exist in seemingly all industry sectors. Basically anything with electricity, and of course, technology products with electronic hardware and of course, all IoT products designed to be smart. These days, everything has an app option, eh. As I roasted on this writing, the computer and smartphone kept earning my mental vote for the most personified examples of a physical device that layers the entire user experience (“UX”) into a digital counterpart. Radio and TV can earn runner-up recognition if they don’t want left out, haha!

So, how did a recent web3 conversation lead to this new word? When more wayfinders start sharing ideas, the expansion of one’s thoughts can be dilated and intensified. After Josh Larson helped us paint a conversation with generative AI, prompt engineering, and liberating bias systems in digital art, the articulated use of phygital and a compelling use case stuck with me.

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I’ve enjoyed building web3dsm with a decentralized team of volunteers. Along with being another energizing community building exercise, the compelling IRL conversations with fellow technologists has activated curiosity and thickened many people’s understandings of different concepts within web3. Over the past 7 months, we’ve featured amazing web3 projects alongside cooperative education, complimented by deep thinking amongst a growing number of community leaders.

Alright… imagine a hoodie with a passive chip.

When scanned by a phone, the clothing activates a treasured digital experience. Think about it. Maybe you already have? Ta daa! Digital clothing.

You’d need a strong tech team and some luck in loud markets, but the idea of chip-enabled clothing feels like pure wonder, but also possible with an inquisitive team, expanding access to required components, attention from the right audience, and the right community-driven initiative. Hmm…

Phygital clothing is extra crazy too, because it’s been such a traditional example of a physical product. Clothing is also designed to be a very personal choice. As clothing continues to be initialized by electronics, the digital companion will introduce almost endless depth. Embedding fresh remarkability, accessibility, different states to unlock, real-time incentives, network effects, and transcendent brand loyalty. Wow.

Whether you get electronic clothing from me or not, I predict more clothing will soon have the option to connect, even offering digital options to pair with what you wear. Alright, it’s been fun to reflect on the future of fashion, but this idea machine is scheduled for a pit stop. As always, reply to connect and I’ll look forward to bonus interactions.

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Another spellbinding term is #ChatUX. This may be our theme for next week, so if a friend shared this with you, confirm your free Roasted Reflections subscription. If you’ve enjoyed my weekly writing for years, thanks again and keep building my friend.

By Ben McDougal, ago

Installing

Installation complete. BEN BOT is now online!

Forget pranks, April 1st has been no joke since YDNTB was released on April 1st, 2021. In 2022, we celebrated one year of YDNTB by uniting this tribe with Roasted Reflections on Discord and the Roasted Reflections NFT Collection.

For this year’s art project, we voyaged into the depths of artificial intelligence. The nerd knobs have been on full blast as we developed valuable influence layers supported by AI language models. The creative collaboration, early training, and immediate response from NFT owners has been fascinating! Think ChatGPT, but when you talk about anything I write about, you’ll feel BENergy pouring into a friendly, fun, and insightful conversation.

BEN BOT infuses all 125+ weekly writings in Roasted Reflections, key takeaways from YDNTB, and other strategic embeddings into a conversational chatbot!

To celebrate, a new Roasted Robots category of 25 all-new NFTs are being minted! As you can see, our friends on the rim of the YDNTB mug have been robotized and here are the first five that were just minted today!

Five more robotic NFTs will be released into the Roasted Reflections NFT Collection every Wednesday in April. Active NFT ownership includes a variety of utilities and 24/7 access to BEN BOT. While NFT ownership is the best way to access BEN BOT, not everyone wants an NFT. Your web3 exploration is rewarded with lower prices and more value with NFTs, but to make BEN BOT accessible to all, a monthly membership (paid by credit card) is also available.

Wow. I’ll stop talking. It’s time to give BEN BOT a try! Our new friend is always thirsty to chat and we can’t wait to hear what you think – BENBOT.ai

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Wanna build your own chatbot? Why?

By Ben McDougal, ago

Munch Munch

By connecting the global datasphere with computer vision, machine learning, and language modeling, computer science has paved the way for artificial intelligence.

Machines have long used human logic to automate routine and AI is not new, so why has this form of knowledge engineering earned so much attention lately? It’s because AI has learned to speak our language.

Language modeling has taught our digital counterparts how to articulate what it already knows. Not in some robotic, 8-bit voice. AI is now conversational. For example, chatbots are informative, engaging, and entertaining humanoids, while generative AI uses neural networking to transform simple prompts into impressive visuals.

When innovation threatens the status quo, a common response is fear followed by complacency. This is evident in the argument that AI will take all our jobs. Yes, advancing technology will continue to reduce the need for humans to turn knobs and here’s a 2023 Cornell University study on how large language models may impact labor markets. Gone are the days of clocking in on time and keeping your head down just long enough to climb a ladder built to resist change. The willingness to play it safe may extend a sense of temporary security, but this is a choice that makes you easy to replace with cheaper labor and faster tools. To remain indispensable, let AI dine on the dull, devour inefficiencies, and support our own ingenuity.

Start a journey before you see the end. Knowledge is required, but for students, intrapreneurs, and entrepreneurs who stay creative, it’s impossible to compete with being you! As AI munches on mediocre, more of us are invited to build without a map. To make a ruckus with no permission required. To do something for the love of doing it and to care enough to fail.

AI won’t take your job. People who use AI will. It’s a lousy time to be complacent and the perfect time to be creative.

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BEN BOT goes online April 1st.

By Ben McDougal, ago