If you’ve been seeing bean-shaped characters pop up in memes, on Twitch, or even on Facebook saying words like “Impostor” or “Red is sus”, you’re not alone.
Among Us, an online multiplayer social deduction game has taken the online world by storm as of late. Originally released back in 2018, the game gained a massive surge in popularity during the COVID-19 lockdown. According to Sensor Tower’s data, the game passed 100 million downloads on the IOS App Store and Google Play in Q3 of 2020 alone. While the game is free to play on mobile, users can also play on PC for a small fee of $4.99. As it stands, Among Us is currently the third-most played game on Steam, with a solid chance it breaks into the top spot in the next few months.
Haven’t played the game? Well, let’s cover the basics so you understand the endless number of memes coming your way.
The game is played with 4 to 10 people, all of whom are placed together on a single map. Depending on the game settings, 1 to 3 of these people will be randomly assigned as Impostors, whose goal is to kill a certain number of non-Impostors without getting voted off of the map. The rest of the users will be designated as Crewmates, who can win the game by either completing a set number of assigned tasks in the form of minigames or by voting the Impostors off of the map. Impostors gain the advantage of being able to use portions of the map (like vents) that Crewmates cannot, as well as being assigned fake tasks so it can appear that they are a Crewmate. Impostors can also sabotage areas of the map that will require Crewmates to complete an additional task within an allotted time, with failure to do so resulting in an Impostor team win.
Impostors will be able to move across the map and kill other players they are next too, turning those players into Ghosts who will still need to complete their tasks for the Crewmates to win. When a player finds a dead body, they can report it, which essentially allows for a time-based discussion and the option to vote for someone to be kicked off of the map. Each player can also use one “emergency meeting”, which can call for a discussion and vote at any time. Since players are allotted a cone of vision that allows them to only see other players within a certain distance, the game relies a lot on convincing other users you are not an Imposter.
Among Us was inspired by the party game Mafia, proving that a few adjustments to a classic concept can pay dividends. Due to the mostly chat-based dialogue, memes have popped up of Crewmates accusing people of being suspicious by saying they are “sus” based on their actions. There has also been a rise in memes highlighting a group of people saying someone must be an Impostor and voting them off, only to view the “X was not the Impostor” dialogue from the game.
Hopefully, this helps you understand some of the bean shape images you’ve been seeing recently. With the game rising rapidly on streaming platforms over the summer, it’s unlikely the wave of memes and references to the game will end anytime soon. If you still don’t understand it, then I recommend you take the plunge and play the game—after all, it’s free on mobile.
3 cool ways bug-sized robots are changing the world
(TECH NEWS) Robots are at the forefront of tech advancements. But why should we care? Here are some noticeable ways robots are changing the world.
When we envision the robots that will (and already are) transforming our world, we’re most likely thinking of something human- or dog-sized. So why are scientists hyper-focusing on developing bug-sized (or even smaller!) robots?
Tiny robots could assist in better drug delivery, as well as conduct minor internal surgeries that wouldn’t otherwise require incisions.
We’ve all heard about the robot dogs that can rescue people who’ve been buried beneath rubble or sheets of snow. However, in some circumstances these machines are too bulky to do the job safely. Bug-sized robots are a less invasive savior in high-intensity environments, such as mine fields, that larger robots would not be able to navigate without causing disruption.
Much like the insects after which these robots were designed, they can be programmed to work together (think: ants building a bridge using their own bodies). This could be key in exploring surfaces like Mars, which are not safe for humans to explore freely. Additionally, tiny robots that can be set to construct and then deconstruct themselves could help astronauts in landings and other endeavors in space.
Well, perhaps the most important reason is that insects have “nature’s optimized design”. They can jump vast distances (fleas), hold items ten times the weight of their own bodies (ants) and perform tasks with the highest efficiency (bees) – all qualities that, if utilized correctly, would be extremely beneficial to humans. Furthermore, a bug-sized bot is economical. If one short-circuits or gets lost, it won’t totally break the bank.
Something scientists have yet to replicate in robotics is the material elements that make insects so unique and powerful, such as tiny claws or sticky pads. What if a robot could produce excrement that could build something, the way bees do in their hives, or spiders do with their webs? While replicating these materials is often difficult and costly, it is undoubtedly the next frontier in bug-inspired robotics – and it will likely open doors for humans that we never imaged possible.
This is all to say that in the pursuit of creating strong, powerful robots, they need not always be big in stature – sometimes, the tiniest robots are just the best for the task.
4 ways startups prove their investment in upcoming technology trends
(TECH NEWS) Want to see into the future? Just take a look at what technology the tech field is exploring and investing in today — that’s the stuff that will make up the world of tomorrow.
Big companies scout like for small ones that have proven ideas and prototypes, rather than take the initial risk on themselves. So startups have to stay ahead of technology by their very nature, in order to be stand-out candidates when selling their ideas to investors.
Innovation Leader, in partnership with KPMG LLP, recently conducted a study that sheds light onto the bleeding edge of tech: The technologies that the biggest companies are most interested in building right now.
The study asked its respondents to group 16 technologies into four categorical buckets, which Innovation Leader CEO Scott Kirsner refers to as “commitment level.”
The highest commitment level, “in-market or accelerating investment,” basically means that technology is already mainstream. For optimum tech-clairvoyance, keep your eyes on the technologies which land in the middle of the ranking.
“Investing or piloting” represents the second-highest commitment level – that means they have offerings that are approaching market-readiness.
The standout in this category is Advanced Analytics. That’s a pretty vague title, but it generally refers to the automated interpretation and prediction on data sets, and has overlap with Machine learning.
Wearables, on the other hand, are self explanatory. From smart watches to location trackers for children, these devices often pick up on input from the body, such heart rate.
The “Internet of Things” is finding new and improved ways to embed sensor and network capabilities into objects within the home, the workplace, and the world at large. (Hopefully that doesn’t mean anyone’s out there trying to reinvent Juicero, though.)
Collaboration tools and cloud computing also land on this list. That’s no shock, given the continuous pandemic.
The next tier is “learning and exploring”— that represents lower commitment, but a high level of curiosity. These technologies will take a longer time to become common, but only because they have an abundance of unexplored potential.
Blockchain was the highest ranked under this category. Not surprising, considering it’s the OG of making people go “wait, what?”
Augmented & virtual reality has been hyped up particularly hard recently and is in high demand (again, due to the pandemic forcing us to seek new ways to interact without human contact.)
And notably, AI & machine learning appears on rankings for both second and third commitment levels, indicating it’s possibly in transition between these categories.
The lowest level is “not exploring or investing,” which represents little to no interest.
Quantum computing is the standout selection for this category of technology. But there’s reason to believe that it, too, is just waiting for the right breakthroughs to happen.
Will AI take over copywriting roles? This tool hopes to make that a reality
(TECH NEWS) CopyAI hopes to give copywriters a run for their… well, WPM. But how much can AI fully replace copywriting skills?
Copywriting is an important trade. Writers are often able to breathe life into otherwise formulaic websites peddling products which, sans the copy from those writers, might very well suffer a fate of relative obscurity. However, copywriters are also expensive, and their duties—indispensable as they may be—can be replicated fairly easily by little more than basic machine learning.
The question is this: Can AI replace copywriters? That’s a question that CopyAI hopes to answer with a resounding “yes”.
CopyAI is an “AI powered [sic] assistant for writing and brainstorming marketing copy.” This makes it a powerful tool to complement human writing, at the very least; is it enough to put people like me out of a job?
From my experience with the tool, no—at least, not yet. CopyAI can’t create an engagement strategy, respond to customers, spin testimonials to evoke heart-felt reactions, or analyze its own trends.
But that doesn’t detract from how freaking cool it is in practice.
CopyAI asks for very little from its user. Upon selecting a style of copy—Facebook Market, website carousel, or even page header, for example–you are prompted to enter the title of your product and a couple of short sentences describing it in the context of your ad. CopyAI does the rest, and while the results can be hilariously out of touch, you’re able to pick the ones that sound the most like your desired copy and then generate more options that sound similar.
The service has a huge number of different options for advertisement types, and you can use multiple different copy projects in one specific campaign.
Naturally, CopyAI has a few flaws, most of which replicate the problems we’ve seen with machine learning-based writing in the past: It doesn’t sound quite human enough to be comfortable. However, that’s a problem for a skilled copywriter to solve—and quickly, thus making something like CopyAI a potentially preferable choice for mass copywriting.
So, again, we ask: Is there a way for CopyAI to replace copywriters entirely in the future? Probably not. The copy it produces is intriguing, and often close enough that underfunded campaigns might find some value in using it short-term, but it doesn’t have the punch that a real person can pack into an advertisement.
That said, combining CopyAI with a small team of copywriters to reduce burnout—and repetition—could make for some very efficient work on the back end.
Opinion Editorials5 days ago
Declutter your quarantine workspace (and brain)
Opinion Editorials1 week ago
Minimalism doesn’t have to happen overnight
Business News2 weeks ago
Fake news? Well, what about fake reviews?
Opinion Editorials7 days ago
Online dating is evolving and maybe networking will too
Business Entrepreneur14 hours ago
Small businesses must go digital to survive (and thrive)
Opinion Editorials2 weeks ago
10 tips for anyone looking to up their professional work game
Tech News1 week ago
4 ways startups prove their investment in upcoming technology trends
Business Entrepreneur1 week ago
4 tips for acquiring a business: The why and how