Over the next several years, cloud-connected conversational smart assistants will become part of our daily lives. Smart voice and text messaging assistants, such as Amazon Alexa, Apple Siri, Microsoft Cortana, Facebook M, and Google Assistant, will take on an increasingly prominent role in smart home, mobile, and wearable post-PC devices, apps, and services, as well as traditional PCs and office productivity suites.
Today, popular smart home products include Amazon Echo and Fire TV, Apple TV, Microsoft Xbox, and Google Home. Smart mobile communication products include Amazon Fire tablets, Apple iPod, iPhone, and iPad, Microsoft Surface, and Google Android phones and tablets. Smart mobile automotive products include Apple CarPlay and Google Android Auto. Smart wearable products include Apple Watch, Microsoft Band, Facebook Oculus Rift, and Google Android watches and Glass intelligent Internet-connected eyewear.
Several visionary companies, including Apple, Samsung, Google, and Xiaomi, are competing aggressively across both developed and emerging global markets to combine wearable, mobile, and home products into innovative post-PC wearable suites, wearable mobile suites, and even complete wearable and non-wearable suites.
The key to success for this emerging conversational paradigm of engagement between people and machines will be the global adoption and social acceptance of augmented human cognition, as illustrated in the adjacent diagram entitled 2015 - 2020 Cognitive Interaction Model.
By communicating continuously with our friends, family, teachers, colleagues, followers, and fans, as well as businesses and governments via voice, text messages, photo snaps, video snaps, clicks, and taps our smart assistants will essentially begin to hear, read, see, and feel what we sense and experience. In exchange, our smart assistants will predictively provide us with contextual knowledge before we even think to ask for it and proactively recommend suggestions for improving everyday decisions and actions.
AI Empowers Enterprises to Upskill Workforces, Make Better Decisions
The Internet and the Web have evolved rapidly over the past twenty years. Web innovations in graphical presentation, ease of use, and request-response speed were quickly adopted by consumer-facing and customer-facing Internet companies, such as Amazon.com, Google, Priceline.com, Baidu, Netflix, and Salesforce.com, and more gradually adopted by employee-facing and business-facing enterprise companies, such as PeopleSoft, Microsoft, IBM, Oracle, and SAP.
We believe the adoption of artificial intelligence (AI) technologies will proceed in a similar fashion, with rapid adoption of smart voice and text assistants by consumers followed by a more gradual yet rapidly accelerating adoption of AI-powered cognitive applications, or apps, and cognitive cloud services by enterprise firms, as shown in the adjacent diagram entitled the 2020 Cognitive Things Cycle.
While the primary benefit of smart assistants to consumers is to know more and do more faster than ever before, the key benefit of cognitive apps and cloud services to enterprises is to dramatically shift the workforce intelligence curve to make better decisions more quickly.
By unifying these benefits across consumers and enterprises, we posit with strong conviction that speed and optimality of action through augmented cognition is likely to be the core value proposition of AI. Under this premise, AI voice and text assistants, AI apps, and AI cloud services will significantly and perhaps radically disrupt entire global industries over the next decade.
Industries requiring highly intelligent and productive workforces as well as access to and interpretation of vast streams of raw data generated by the Internet of things (IoT) are most likely to be profoundly disrupted by AI and therefore ideally suited for early adoption of cognitive technologies. Examples of such industries include healthcare, finance, security, education, energy, and commerce, as illustrated in the cognitive voice, apps, cloud services, and IoT diagrams above.
How Do We Make AI Socially Acceptable and Widely Adopted?
Given the checkered history of AI, how do ensure that it will be sustainably successful this time? More specifically, how do we convey the value of AI to prospective users in such a way that it becomes both socially accepted and widely adopted by billions of users on a global scale?
While early research work in the field of AI showed immense promise, it failed to achieve its envisioned potential due to immature software algorithms, a dearth of large-scale data sets, and a lack of massively scalable computing power. As a result the entire field of AI went dormant until recent advances in machine learning algorithms, Internet of Things (IoT) data streams, and hybrid cloud computing technologies became simultaneously available at hyperscale earlier in this decade.
Google, with its core assets in deep learning algorithms, IoT big data streams, and cloud-scale data datacenters, was singularly positioned to capitalize the resurgence of AI. Sensing this generational opportunity to stream bits directly to human eyes, the company launched Google Glass, a new class of wearable mobile intelligent eyewear enabling users to fundamentally know more, as illustrated in the diagram entitled Intelligent Eyewear Era.
Glass enabled users to instantly access information from the Internet,
learn about about their surrounding environments, and share live photo and video snaps with friends and family members, as illustrated in the Internet glasses diagrams below.
Despite the initial version of Google Glass attracting immediate and mostly positive media attention at launch, the product soon came under fire as stories began to surface across numerous social media channels that Glass users were experiencing unwelcome and in some cases violent responses from onlookers while wearing the Internet-connected device in public.
Unfortunately, the reputation and overall desirability of Glass was perhaps irreversibly sullied as these stories morphed into belittling skits presented ceaselessly during nightly and weekly comedy shows and YouTube videos.
While Glass clearly lacked a number of key technical features, such as long battery life, large number of apps, direct 4G connection, ultralight design, and loud noise suppression, the primary reason for its premature withdrawal from the market was fundamentally due to a) privacy concerns and b) design aesthetics.
More specifically, the public and the media rejected Glass primarily because the device could record and immediately share voice, sound, or video anytime or anyplace of anyone or anything and secondarily because of its awkward, bulky, and irregular asymmetric design relative to normal-looking glasses worn in public by everyday folks.
In contrast to the early setbacks experienced by Google Glass, we envision a very bright future for post-PC wearable Internet-connected smart glasses in general, or inocles, which represent an entirely new class of intelligent eyewear empowering users know more, do more, play more, and share more faster than ever before.
By addressing the two drawbacks of early releases of intelligent eyewear, next-generation inocles will be precision crafted, stylishly designed, and host to one or more embedded AI voice assistants with the ability to instantly comply with local privacy control rules and social norms.
These rules and norms may be based on geographic location, time of day, or presence of privacy-sensitive individuals. For example, a prominent upscale restaurant may establish a no-video rule within its geographic boundaries. As a result of this rule, all inocle assistants would be required to immediately prevent an incoled user from accessing the embedded video capture system and wink-snapping photo or video snaps while inside or in close proximity to the restaurant.
Addressing consumer and business concerns over privacy control and design aesthetics will undoubtedly improve the adoption rate and social acceptance of next-generation versions of intelligent eyewear. However, mitigating these two concerns will not be sufficient to catapult this new class of devices into the global mainstream.
Because intelligent eyewear (inocles) represents an entirely new computing platform, it needs a killer app or cloud service to galvanize consumer and business demand, in the same way in which killer apps drove demand for the PC platform and killer cloud services ignited demand for the smartphone platform.
In the mid-1980s, the killer app for the PC was the Lotus 123 spreadsheet; by the early 1990s, the Microsoft Office productivity suite became the primary reason for most business and consumer users to buy a PC.
Similarly, in the late 2000s, the killer pair of cloud services for the smartphone were the Apple App Store and the Google Play store; by the mid-2010s, the Facebook social media app coupled with the astonishing worldwide popularity of selfies became the key reasons for most consumer users to buy a smartphone.
If the success story of the PC (with an estimated installed base of 2 billion devices) was driven by primarily by spreadsheets and office suites and the success story of the smartphone (with a potential installed base of 10 billion devices) has been driven by social media apps and selfie snaps, then what game-changing apps, cloud services, and social media content types will drive the success story of inocles, with a potential installed base on the same scale as the number of pairs of shoes in the world?
In the next section, we feature a possible game-changing app, cloud service, and post-selfie content type for inocles that was first proposed on inocle.com in mid-2014 and subsequently extended and popularized by snapmashie.com in 2015.
Cloud-Connected Intelligent Eyewear enters Social Media Mainstream
As smart wearable mobile post-PC devices and suites become more powerful and next-generation wireless networking services provide near instantaneous transmission of ultra high definition audio, images, and video, we envision post-PC users will increasingly rely on smart voice agents, or AI assistants, to create and share new forms of structured social media content for entertainment, communication, and commercial purposes.
Over the past decade, the Apple iPhone, with its unprecedented simplicity, intuitive control, optimized experience, and direct access to the cloud, singularly defined the core qualities of a modern post-PC device, and it continues to serve as the anchor device for the Apple post-PC wearable mobile suite, as shown in the adjacent diagram entitled the Apple iFamily Post-PC Mobile Smart Suite.
Apple competitors Samsung, Google, and Xiaomi each have their own wearable mobile suite, typically comprising smart glasses, bands, watches, phones, and tablets, as shown in the adjacent diagram entitled Android Mobile Suites.
The wearable (smart glasses, bands, and watches) and mobile (smart phones and tablets) post-PC devices in these suites have made it extraordinarily simple for users to capture and create highly engaging social media content, most notably the universally popular selfie.
Given the remarkable rise of selfies across the globe, the key question is, “What comes after the selfie?” More specifically, how will social media users continue to entertain and engage friends, family, fans, and followers in the future? Will the selfie rule the day, or will a new more collaborative media type surface that changes the nature of social media communication.
One possible answer is that the selfie begins to share the global social media stage with an new collaborative media type called a mashie, as illustrated in the adjacent diagram entitled Post-Selfie Internet Storytelling.
A selfie typically depicts a static posed story constructed in isolation that is inwardly centered upon the user himself or herself and shared with local and global friends and fans on social networks without the possibility post-publication personalization, customization, or enhancement.
In contrast, a mashie typically describes a dynamic natural story constructed collaboratively with friends that is outwardly focused upon the user’s friends or surrounding environment rather than the user himself or herself and shared with local and global friends and fans on social networks with the expectation and anticipation of post-publication personalization, customization, and enhancement by select friends and fans.
According to snapmashie.com: "As Internet storytelling transitions away from a me-centric selfie era to a more natural we-centric mashie era, authors, content creators, and social media celebrities will gravitate toward a new set of collaborative social experience applications…purpose-built to capitalize on the power and editing capabilities of today's wearable post-PC devices. These new collaborative apps will empower everyday users to become Internet storytellers, enabling them to quickly share interesting life experiences and unique adventures with friends and fans via the cloud...in real time...without having to locate a mobile phone in their pockets."
In short, it will become very simple for wearable device users to collaboratively create and share mashies in the future. For example, a group of friends each sporting their favorite pair of inocles could easily share an adventurous life experience with friends and fans by asking their incole smart voice assistants to periodically take photo snaps or record video snaps of their friends doing fun and interesting things during the journey, as illustrated in the diagram above entitled Music Snaps Heart.
Next, friends would periodically bump heads to automatically call upon the inocle AI assistants to stitch together interesting mashies organized spatially (by layout), thematically (by theme), or temporally (by time), as illustrated in the diagram above entitled Music Mashes Heart.
Once master mashies are generated by the AI assistants, each inocled friend may then personalize or customize the mashie design before sending it to the cloud to be shared with fans on Instagram, Snapchat, Facebook, and Twitter, as illustrated in the diagram above entitled Mashies Go To Cloud.
Lastly, upon receiving new mashies in their social media feeds from their traveling friends, select fans can reorganize them or add new content to help enhance the mashie story before sharing these derivative fan mashies with friends via the cloud, as shown in the diagrams below entitled Fans Remash Mashies and Friends View Fan Mashies.
A more in depth example of this new mashie-based approach to collaborative post-selfie Internet storytelling involving top supermodel icons is illustrated by the adjacent supermodel mashie diagrams. The diagrams are based on a hypothetical gathering of classic supermodel icons of the 1980s during an afternoon celebrity event and an evening afterparty.
Over the course of the afternoon and evening, supermodel friends interact naturally with each other and casually capture candid photo snaps and video snaps of each other meeting famous celebrity guests, dancing to live music performed by featured artists, adventuring back stage for a visit to an exclusive dressing room, or simply hanging out doing goofy things together using any one of the devices in their cloud-connected wearable mobile post-PC suite, such as a smart phone, smart watch, or their favorite pair of incoles.
During the events, supermodels occasionally bump their heads (for incoles) or hands (for smart watches and phones) together to automatically generate master mashies consisting of three-by-three grids of the most interesting and compelling photo and video snaps taken at the events thus far.
During or after the events, supermodels can personalize (with stickers, messages, backgrounds, and frames) and customize (with rotations, layouts, and speeds) their favorite master mashies and share them with friends, family, fans, and followers on Instagram, Twitter, Facebook, and Snapchat via the cloud.
What makes a mashie so unique is not just that it is collaboratively created and automatically generated as described above, but that its storyline can be extend by select supermodel fans and therefore live on and become increasingly more engaging long after the original master mashies are posted to the cloud, as illustrated by the adjacent fan mashies.
Supermodel Icon Evolution from Classic Supermodel Age to Social Supermodel Age
Over the past several months, the Internet and social media channels have been charged with several heated debates over the precise definition of a supermodel, with several surprisingly critical stories and public posts regarding today's most popular social media stars. We strongly believe that this debate is not constructive and may ultimately tarnish the supermodel brand if left unresolved. Accordingly, we have constructed and now propose the following unified supermodel theory below to help shift the discussion toward a more harmonious outcome that ultimately benefits all supermodels across all supermodel ages of the supermodel era.
We refer to the diagram above as the Unified Theory of Supermodel Icon Evolution across Classic, Modern, Internet, and Social Supermodel Ages of the Long-Duration Supermodel Era. The diagram shows the four ages of the supermodel era: the classic supermodel age of the 1980s, the modern supermodel age of the 1990s, the Internet supermodel age of the 2000s, and the social supermodel age of the 2010s. It also illustrates examples of supermodel beauty icons for each age and further categorizes beauty icons into general supermodel beauty icons, goofy supermodel beauty icons, and smart supermodel beauty icons.
The unified supermodel theory diagram presented above has an animated companion diagram shown below, which we simply refer to as the Supermodel Icon Evolution Mashie Story.
The mashie story about supermodel icons is highly compact and visually expressive. It is most useful for quickly explaining how the world's most popular supermodel icons have evolved through time and how each generation of supermodels occupies a unique and valuable position along the continuum of supermodel history.
The supermodel icon evolution mashie story presented above is an animated composite image composed of five individual supermodel snap and fact mashies, as shown below in sequential order of supermodel history.
The resources above are not free to use or share.
Supermodel Fans Create New Supermodel Fact Mashies via the Cloud
Using their cloud-connected AI-powered smartphones and tablets, supermodel fans can easily augment the individual supermodel snap and fact mashies above with new and interesting facts about their favorite supermodels from each supermodel generation. For example, one supermodel fan uses her new Apple iPhone 7 Plus to quickly design and create five new supermodel fact mashies and then shares her creations with friends on popular photo sharing and social networking sites in the cloud. The new fan-generated fact mashie creations, or fan mashies for short, share the same structure as the original supermodel snap mashie story, as shown below.
Upon receiving new fan mashies in her Facebook Messenger feed, a second supermodel fan uses her Apple iPhone 7 to quickly create an entirely new supermodel mashie story by
combining one of the new fan-generated fact mashies with one of the original supermodel-generated snap mashies. Once her creation is complete, she posts it to Google Photos, Snapchat, and Instagram to attract more followers and receive feedback from her friends and other supermodel fans on her new design.
The resource above is not free to use or share.
Supermodel Fan Creates Social Supermodel Music Icon Snap Mashies
Inspired by the compact and expressive mashie story about supermodel
icon evolution, a third supermodel fan sees an opportunity to enhance
the story by adding a missing piece.
The resources below are not free to use or share.
Using her new Apple iPhone X, she quickly creates three new snap mashies presenting her favorite social supermodel music icon in three different social contexts: fun, formal, and goofy. The three new fan mashies share the same structure as the original supermodel snap mashie story.
Social Supermodel Assistants Launch Top Social Supermodel Mashie
AI-powered social supermodel Internet icon assistants Ino Red Heart Force and Ino Pink Force assist with the launch of a new fan-generated supermodel mashie featuring top social supermodels having fun and goofy adventures with their friends.
Have fun with your friends taking snaps of top social supermodels being goofy in front of large live audiences of supermodel fans from around
the globe. Have even more fun waving your new iPhone to encourage your favorite social
supermodel to take a goofy selfie with you and your best friends. Share your unique supermodel selfie with your friends on Snapchat and Instagram. Or attract even more of your own fans and followers by using popular photo sharing sites to join forces with other supermodel fans to collaboratively create supermodel mashies containing interesting snaps of and facts about your favorite goofy social supermodel icons.
Supermodel Mashie Examples from the Internet
In this section we provide links to several current examples of supermodel mashies, including goofy supermodel mashies, supermodel style mashies, supermodel fitness mashies, then-and-now supermodel mashies, supermodel event mashies, and supermodel ad mashies. Recall, a mashie is defined as a collaboratively-created composite snap containing
two or more individual snaps. Individual snaps are images, videos, or
holograms. Images are photos, graphics, or text. Snaps can be organized
spatially or sequentially, with or without overlay.
While a traditional collage that is collaboratively created is a form of mashie,
most collages are not mashies.
Similarly, while a simple mashie can be a collaboratively created collage,
most mashies are not collages, as shown in the diagram above. Moreover, and most importantly, while a mashie may contain one or more selfies, a mashie is never a selfie and a selfie is never a mashie. Since the term mashie is a new concept, for each example cited below we state specific reasons why it fits the definition of a mashie.
Popular goofy supermodel mashies include:
- Goofy Supermodel Star Wars Character with Light Saber
- Goofy Supermodel Actions in
Black and White
- Goofy Supermodel Faces with Pet Lenses
- Goofy Supermodel Facial Expressions on Pink Background
The first item above is a mashie because it is a collaboratively-created composite (CCC) snap containing two photo snaps. The collaboration involves sourcing two separate photos, the first photo from a friend at the event and the second from a saved memory. The mashie is created by overlaying the second photo upon the first. The second item above is a mashie because it's a CCC snap containing eight photo snaps sourced from one or more friends. The mashie is created by spatially organizing the 8 photos into two equally-spaced rows and four equally-spaced columns. The third item above is a mashie because it's a CCC snap containing one photo and several graphical images. The photo is sourced from a real-time selfie and the graphics are sourced from a cloud-connected social media app. The mashie is created by overlaying the graphics on the photo. The fourth item above is a mashie because it's a CCC snap containing four photos sourced from a friend. The mashie is created by spatially organizing the 4 photos into two equally-spaced rows and two equally-spaced columns.
Note: In the fourth example above, if the photos were not collaboratively sourced from one or more friends, then the resulting compound snap would be a traditional collage, rather than a mashie. A mashie, by definition, must be created collaboratively with friends or cloud-connected AI assistants, rather than in isolation.
Popular supermodel style mashies include:
The first item above is a mashie because it is a
snap containing two photos, one graphic block, and one text block. The first photo is sourced from a modeling agency photo shoot and the second photo from image stock. The graphical and textual elements are sourced from an advertising agency. The mashie is created by overlaying the second photo upon the first and then spatially organizing the graphical and textual elements above and below the photos, respectively. The second item above is a mashie because it's a CCC snap containing eight photos, six graphic blocks, and three text blocks. Four photos are sourced from a modeling agency photo shoot, two photos from apparel manufacturers, and two photos from image stock. The graphical and textual elements are sourced from an advertising agency. The mashie is created by combining modeling, apparel, and stock photos with graphical and textual elements to form an artistically organized grid.
Popular supermodel fitness mashies include:
The first item above is a mashie because it is a collaboratively-created composite snap containing two photos. The first photo is sourced from a supermodel friend and the second from supermodel selfie. The supermodel mashie is created by overlaying the second photo upon the first. The second item above is a mashie because it's a CCC snap containing six photos and one text block. Two photos are sourced from a modeling agency photo shoot, one photo from a supermodel fan, and three photos from image stock. The textual element is sourced from an supermodel fan. The supermodel mashie is created by combining modeling and fan photos to form an artistically organized grid and then superimposing stock photos and a central textual element to complete the arrangement.
Popular then-and-now supermodel mashies include:
- Then-and-Now Face-Off between Supermodel Icons of the 1990s vs. Social Supermodels of the 2010s
- Then-and-Now of Top Goofy Social Supermodel
The first item above is a mashie because it is a
snap containing two photos. The first photo is sourced from a supermodel photo shoot from the 1990s and the second from a supermodel photo shoot from the 2010s. The supermodel mashie is created by positioning the second photo directly below the first to enable supermodel fans to easily compare top supermodels from the 90s to their contemporary counterparts today. The second item above is a mashie because it's a CCC snap containing three photos. Two photos are sourced from a family photo album and one photo from a supermodel event. The mashie is created by organizing family and event photos in a linear time sequence from left to right
to enable supermodel fans to see one of their favorites social supermodels grow up over the past two decades.
Popular supermodel event mashies include:
Popular supermodel ad mashies include:
List of Mashies from around the World
In this section we provide a curated list of snap mashies from around the world. This global list is sourced from the Internet and sorted by date of collection with our most recent additions appearing toward the bottom of the list. Unlike the previous section, which focused solely on supermodel mashies, this section is not limited to supermodel mashies and therefore contains a wide variety of mashies, including celebrity mashies, sports mashies, entertainment mashies, pet mashies, food mashies, and eyewear mashies.
Snap Mashie of Goofy Supermodel Imitating Goofy Cats
Snap Mashie of Top-Grossing Celebrity Actresses
Snap Mashie of Top Pop Music Artist with Big Hair, Red Lips, and Snapchat Lens
Snap Mashie of Popular Social Media Star with Snapchat Pet Lens
Snap Mashie of Popular K-Pop Idol with Goofy Facial Expressions
Snap Mashie of Popular Snapchat Supermodels with Blonde Hair on Pink Background
Snap Mashie Ad Featuring Top Social Supermodel Launching New Line of Fashion Accessories
Snap Mashie of Top Supermodel Beauty Icon at Entertainment and Promotional Events in China
Snap Mashie Ad Featuring Top Social Supermodel Launching New Line of
Millennial Fashion Apparel
Snap Mashie of Most Popular Music Artists on Facebook, one with Green Hair, another with Bold Red Lips
Snap Mashie of Top-Grossing Music Artists in the World, one with Bold Red Hair, another with Dark Sunglasses
Snap Mashie of Highest-Paid Sports Stars in the World
Snap Mashie of Popular International TV Star with Dark Hair and Full Lips
Snap Mashie of Best Nine Snaps of Top Social Media Entertainer on Instagram
Snap Mashie of Top Social Media Entertainers on Instagram Making a Heart and Singing in Black and White
Snap Mashie Ad Featuring Social Supermodel with Lion Cub Launching New Line of Luxury Watches
Snap Mashie of Social Supermodel with Big Blue Eyes and Natural Lips Making Goofy Facial Expressions
Snap Mashie of a Before-and-After Kiss between
Social Supermodel Best Friends
Snap Mashie of Top Media Influencers
Snap Mashie of Happy and Serious Social Supermodel in Black and White
Snap Mashie of Top Performing Athletes at the Olympic Games in Rio
Snap Mashie of the Fastest Person on Earth from the Rio Olympic Games
Snap Mashie of United States Presidential Candidates during the First Debate
Snap Mashie of K-Pop Stars with Snapchat Bear Lenses
Snap Mashie of Best Dressed Actresses at the Oscars
Snap Mashie of Supermodel Guests at the Oscars
Snap Mashie of Supermodel Princess from Sleeping Beauty
Snap Mashie of Nordic Supermodel in the Wild with Blonde Hair and Blues Eyes
Snap Mashie of Modern Supermodel Making Glancing, Happy, and Goofy Faces in Black and White
Snap Mashie of Pre-Classic Supermodel of the 1950s vs. 1990s Modern Supermodel in Black and White
Snap Mashie of Healthy Food Groups Recommended by a Top Social Supermodel
Snap Mashie of Classic vs. Modern Star Wars Movie Posters
Snap Mashie of Social Supermodel in Flight Wearing Retro Sunglasses with Oversized Round Lenses
Snap Mashie of Social Supermodels Wearing Identical Sunglasses with Mirrored Lenses and White Frames
Snap Mashie Ad Featuring AI-Powered Social Supermodel Internet Icon Beaming Snaps with Friends Messages
Snap Mashie Story Featuring Animated Snaps of and Facts about Modern Supermodels
Snap Mashie of Multicultural Millennial Models Sporting Smart Video Glasses with Black, Teal, and Coral Lenses
Snap Mashie of Visionary CEO Wearing Smart Video Glasses, a New Wearable Device Category for Millennials
Spectacles vs. Inocles in the Emerging Intelligent Eyewear Era
In this section, we present the expected stack of integrated AI-powered hardware, software, and cloud services required to successfully launch new and prospective intelligent eyewear products into global consumer mass markets.
We refer to the diagram above as Snapchat Spectacles vs. Snapmashie Inocles in the Cloud-Connected Intelligent Eyewear Era Powered by AI Assistants. The diagram shows the six elements of the emerging intelligent eyewear stack:
- Eyewear Hardware
- AI Assistant Service
- Application Software
- Media Content
- Application Purpose
- Application Focus
For each element in the stack, the diagram compares new Snapbot AI powered Spectacles to prospective Ino AI powered Inocles:
- Eyewear: Spectacles vs. Inocles
- Assistant: Snapbot AI Assistant vs. Ino AI Assistant
- Application: Snapchat App vs. Snapmashie App
- Content: Selfie vs. Mashie
- Purpose: Take a Selfie vs. Make a Mashie
- Focus: My Story vs. Our Story
Additional information about spectacles and selfies can be found on the Home page of spectacles.com, the News page of snap.com, and the Geofilters page of snapchat.com. More information about inocles and mashies can be found on the Vision page of inocle.com, the iGlass page of inocles.com, and the Social Supermodels page of snapmashie.com.
Recall, the three primary use cases envisioned for cloud-connected intelligent eyewear are:
- Instant Information Access,
- Augmented Reality (AR) Learning,
- Live Content Streaming
(source: definition and examples pages of inocle.com).
While the first release of Snapchat Spectacles is intentionally limited to video sharing (a restricted subset of use case 3 above), we believe that future versions of the wearable device will cover all three intelligent eyewear use cases.