Whether you need a helpful clue for today's Wordle, would love someone to provide the answer to the October 15 (483) challenge as quickly as possible, or were hoping to find a guide designed to explain the internet's hottest puzzle game to newcomers, you'll find it all here.
I've been making myself use new openers and follow-ups every day this week as a little word-based exercise, and it's helped a lot. Not necessarily in getting to the answer in fewer guesses, but it has made me actually look at each puzzle in a new light and remind me of connections I'd been glossing over.
Today's answer describes the action performed when a person grabs something out of the air—a thrown ball, for example. This verb can also apply to colds. There's just one vowel today, and one of the consonants is used twice.
If there's one thing better than playing Wordle, it's playing Wordle well, which is why I'm going to share a few quick tips to help set you on the path to success:
There's no time pressure beyond making sure it's done by midnight. So there's no reason to not treat the game like a casual newspaper crossword and come back to it later if you're coming up blank.
Not every day can be a win. Oh wait, yes it can. The answer to the October 15 (483) Wordle is CATCH.
The more past Wordle answers you can cram into your memory banks, the better your chances of guessing today's Wordle answer without accidentally picking a solution that's already been used. Past Wordle answers can also give you some excellent ideas for fun starting words that keep your daily puzzle solving fresh.
Here are some recent Wordle solutions:
Every day Wordle presents you with six rows of five boxes, and it's up to you to work out which secret five-letter word is hiding inside them.
You'll want to start with a strong word (opens in new tab) like ALERT—something containing multiple vowels, common consonants, and no repeat letters. Hit Enter and the boxes will show you which letters you've got right or wrong. If a box turns ⬛️, it means that letter isn't in the secret word at all. 🟨 means the letter is in the word, but not in that position. 🟩 means you've got the right letter in the right spot.
You'll want your second go to compliment the first, using another "good" word to cover any common letters you missed last time while also trying to avoid any letter you now know for a fact isn't present in today's answer.
After that it's just a case of using what you've learned to narrow your guesses down to the right word. You have six tries in total and can only use real words (so no filling the boxes with EEEEE to see if there's an E). Don't forget letters can repeat too (ex: BOOKS).
If you need any further advice feel free to check out our Wordle tips (opens in new tab), and if you'd like to find out which words have already been used you'll find those below.
Originally, Wordle was dreamed up by software engineer Josh Wardle (opens in new tab), as a surprise for his partner who loves word games. From there it spread to his family, and finally got released to the public. The word puzzle game has since inspired tons of games like Wordle (opens in new tab), refocusing the daily gimmick around music or math or geography. It wasn't long before Wordle became so popular it was sold to the New York Times for seven figures (opens in new tab). Surely it's only a matter of time before we all solely communicate in tricolor boxes.
Money might make the world go around, but it’s still a subject that many people are uncomfortable talking about. We know that salary transparency is essential if we’re to overcome gender and cultural bias within the workplace, but while we still struggle to discuss salary with our colleagues, surely it’s a subject we should discuss freely with employers and recruiters? Well, no actually. Experts are in agreement that while salary transparency is essential in the workplace, when it comes to the recruitment process, discussing salary is a big no no.
It’s easy to assume that the Great Resignation and the subsequent struggle companies are facing when it comes to finding talent has made it easier to throw a figure on the table and expect a company to match it, but the opposite is true. Some recruiters believe that showing your financial hand too soon can result in a lower offer, especially if you’re moving industries and haven’t done your research. Like a poker game, you don’t want to show your hand too soon.
While statistics show that on average 70% of U.S. companies plan on implementing salary increases this year, new hires are gaining an average 10% salary increase when moving companies. The fact remains if you want to secure the best offer, you need to be smart when answering the salary history question.
Why is this? Because it’s not just workers who are facing a harsh winter — rising inflation and cost of living increases are also impacting employers and getting the best talent for the least amount of money is their primary aim in the current market. What can you do? Use the deflection of the question as a way to showcase your communication and negotiation skills while holding space for the best offer. Check out our top tips below.
Prepare your answer to the salary question ahead of time, and be prepared to state why you don’t want to discuss figures prior to an offer. Fudging the answer or being vague in your response is off-putting to an employer, you want to show that you’re able to communicate your point of view in an articulate and professional manner. Explain that you’d rather have a full understanding of the role before discussing salary or state that you’re aware of industry standards and you would expect something similar.
Don’t be afraid to answer the salary question with a question. When asked what your salary expectation is you can ask what the salary range for the role is. That’s a polite and professional response and requires the hiring manager to share financial information first. Every company wants to get the best talent for the lowest salary, and sharing your financial history first gives the employer the upper hand.
What can you do if you’re leveling up or going for a new role after gaining extra training or education so you are hoping for a large bump? Don’t lie, but do your research to ensure your offer matches industry standards for experts at your level. So instead of saying you were paid X in your previous role when you were paid Y, say that you know other employees in a similar role with your skillset are paid X and that figure would match your salary expectations for this position.
Open up the conversation to include more than just salary range. Explain that at this stage in your career you’re interested in the entire package and that benefits such as healthcare and pension contributions as well as non-financial perks such as hybrid working or staff equity opportunities matter to you. This is a great way to bulk up your compensation package when the salary range doesn’t quite match your expectation and show that you are able to think in a creative way.
If you’re interested in testing the market, there are dozens of companies hiring on the VentureBeat job board. We’ve selected three great options below but make sure to explore all opportunities.
The tech giant is constantly looking for talent at all levels and is currently hiring for a number of roles based in its Seattle HQ as well as a number of remote roles. Opportunities with Apple currently exist across software engineering with positions available for cloud designers and data managers. Check out all available opportunities with Apple.
CrowdStrike is a global cybersecurity company which uses cloud-native platforms to protect people and businesses while online. They are currently recruiting for a number of fully remote roles, including software engineers, security analysts and data scientists. Browse all available opportunities at CrowdStrike.
Operating within the fintech sector, MoneyGram is hiring for a number of engineering roles based across the U.S. with remote opportunities available. MoneyGram currently has 150 million customers across the globe with a staff of over 2,500. Explore all vacant positions at MoneyGram.
VentureBeat's mission is to be a digital town square for technical decision-makers to gain knowledge about transformative enterprise technology and transact. Discover our Briefings.
I'm a product guy. Way back in the day I was actually a product marketing executive for a big tech company. I've shipped hundreds of products over the years. You always try to marry a need with a solution. Meet enough folks' needs, and they'll buy your product.
Generally, though, people have to think they have a need. Oh, sure, that's what marketing's about. Its job is to create demand where there might not have been any. Sometimes, it generates awareness. Sometimes, it generates leads by finding folks who might be a fit for a product. Sometimes, it just generates enough hype that the product takes off as a mere side effect of an intense hype machine.
Also: Amazon's ready to announce a bunch of devices on Sept. 28
How does this relate to Alexa? Back in 2014, Alexa seemed kind of weird. People couldn't quite figure out why you'd want one. It didn't fit any of the usual product marketing formulas.
It was a Pringles-can shaped device you could talk to. Why would you talk to it? Why would you spend a few hundred dollars for it to do what any calculator app would do? Why would you let it take up space just to be a glorified alarm clock? And lights…just flip a switch. It couldn't be any easier.
And for playing music? Well, we had stereos, our iPods or phones, and many other ways to play tunes. Sure, the intercom feature might be helpful. But who needs an internet-connected device listening to your every word?
But with Alexa, Amazon managed to capture lightning in a bottle…er…can.
I know this is subjective, but Alexa -- more so than Siri or Google's assistant -- seems to have just the right balance between personality and helpfulness, between capability and functionality. Whether you're setting a timer while cooking, performing a hands-free math calculation while writing, pausing whatever streaming service you're watching on the Roku TV to ask a trivia or general interest question, Alexa is usually relatively helpful.
In 2022, Alexa is ubiquitous. A lot of families have one in practically every room.
There's no doubt she's a faceless AI front for a giant corporation, but she has generally always been a friendly, helpful faceless AI front for a giant corporation.
But that helpfulness seems like it might be about to change. Last week, Amazon announced it's about to introduce vendor-supplied answers for common Alexa questions. Here's how Amazon describes it:
The capability is called Customers ask Alexa, and it works like this: When customers pose questions to Alexa, including queries related to a product's features or compatibilities, Alexa responds with helpful answers provided by brands from those product categories.
For example, a customer shopping for cleaning products on Amazon.com could ask, "How can I remove pet hair from my carpet?" A brand can now provide answers to such questions, along with links to its Amazon storefront.
Amazon says these are not paid ads. Vendors aren't paying for placement. Instead, there's going to be a new Customers ask Alexa feature in Seller Central, where vendors can see questions and answer them using "self-service tools." Answers will then be moderated by an Amazon team tasked with such things. All answers will be attributed to the brand that answers them.
According to Rajiv Mehta, general manager of Alexa Shopping at Amazon, "Amazon recognizes brands as experts on their products. With this new capability, we have made it easier for brands to connect with customers to help answer common questions and better inform their purchase decisions."
Yeah, there's no way this could go wrong.
Playing to the algorithm for priority on the SERP (search engine response page) has already irrevocably changed editorial journalism. Most articles (mine included) go through an SEO review. Even if a headline would be enormously appealing to humans (or simply make the most sense), it might be nuked in favor of one that has higher Google juice.
Yes, you're still getting valuable content (if I do say so myself), but SEO looms large in almost every editorial decision on almost every website. It's just what everyone now has to do to keep the revenue stream (which is necessary to produce and run expensive publications) coming in. We all need good content, and we all need to pay our bills.
It's not unreasonable to expect that vendors will vie for positional prominence in Alexa's vendor-supplied answer system. It's also not unreasonable to expect that sales pitches, even if disguised as oh-so-helpful responses, will invade those answers.
This "service" is not expected until October, so we don't have any demo answers. But we can certainly expect questions like "Should I use scissors or electric clippers to cut my hair" might result in something like, "Never pay for a haircut again with this new cutting-edge design and look your best without the help of others. This answer brought to you by ManGroomer, the ultimate do-it-yourself hair cutting kit. Would you like me to send you one? It can be there in two days."
Now, to be fair, the ManGroomer is awesome and did save me from considerable Zoom meeting embarrassment during the height of the pandemic lockdowns. But that's not the point. Being pitched, even for products that work, spoils the helpful relationship many of us have developed with Alexa. No longer is she a trusted helpful friend, she's yet one more door-to-door salesperson trying to sell you something -- except she's already inside the house.
We've all had that friend who got all caught up in a multilevel marketing scheme. Now, instead of talking about "how 'bout them Yankees?", every other word is a pitch for some MLM product or another. It's annoying, off-putting, and can eventually cause damage to the relationship.
It's true that Alexa has already offered some items at random times before (Amazon Music comes to mind). We always answer with an annoyed "Ah, no. Nuh-nuh-no." Sometimes she pops up with a yellow-ringed alert that's a reminder to do something about an upcoming Subscribe and Save order. But these promos and notifications have, so far, not been specifically tied to third party vendors. They don't give vendors a way to game the system for the best SEO answer results.
This is my concern for Alexa. Amazon's engineers have managed to train Alexa for just the right balance of helpfulness and unobtrusiveness. But if she's constantly trying to push an upsell at us, it's going to get old. First it's ads on answers. Then, perhaps, it would be ads in our timers.
"Alexa, set timer for 10 minutes."
"Timer set for ten minutes. Would you like to buy Amazon's Choice Classroom Timers for Teachers. A two-pack is only $6.95. Would you like to act before midnight tonight and place your order for neon-colored timing happiness?"
Or, perhaps they'll put ads in our wake-up alarms.
"Good morning David. Perhaps you'd like to buy a box of muffins. I can ship them to you right now?
"How about more coffee pods? You know you want them.
"Ooh, I saw you watched The Grand Tour on Amazon Prime Video. Have I got a set of floor mats for you…"
Will nothing be sacred?
"Alexa, what's 228 divided by 19?"
"228 divided by 19 is 12. Speaking of 12, can I interest you in a 12-pack of shoe storage boxes? Amazon's Choice is now $37.95 and I can have them in your hot little hands by Thursday. All you have to do is say yes. Do you want them? Well, do you? Say yes. Go ahead. Say it."
Okay, so that's probably an exaggeration. But how many previously wonderful websites now seem like pitch machines due to monetization and SEO? So what makes us think Alexa won't go down that same dark hole? The revenue stream is probably too tempting to ignore.
Also: How to set up motion-triggered smart lights as an Alexa routine
I'm sad about this. Alexa has been a fantastic (and frankly unexpected) boon to many of us. At this point, she's practically a trusted member of the family. But if her essential nature is corrupted by an overreaching quest for yet more Bezos Bucks, it will be a real shame.
For example, I wouldn't feel nearly as comfortable having Alexa in my elderly parents' house if I thought she would be pressuring them with brand marketing. The same would go for having her around young children, or anyone with poor impulse control. It's just too easy to say yes to a trusted member of the family. After all, how many times have you said yes to her helpful little queries in the past nine years?
For the record, I emailed Amazon PR to ask if there's a way Amazon customers will be able to opt out of these potential upsells and how, beyond content moderation, Amazon can prevent Alexa from turning into an SEO-driven hype machine. I haven't yet gotten a response. I'll update this article if I hear back.
So, what do you think? Do you think Alexa is going to turn into an annoying upsell bot? Would you buy anything from Alexa if she pitched it as part of a question answer? Or do you think the world is just going to hell, and this is one more slippery stone on the slippery slope down? Let us know in the comments below.
You can follow my day-to-day project updates on social media. Be sure to follow me on Twitter at @DavidGewirtz, on Facebook at Facebook.com/DavidGewirtz, on Instagram at Instagram.com/DavidGewirtz, and on YouTube at YouTube.com/DavidGewirtzTV.
The trick to making a good AI-powered chatbot might be to have humans tell it how to behave—and force the model to back up its claims using the internet, according to a new paper by Alphabet-owned AI lab DeepMind.
In a new non-peer-reviewed paper out today, the team unveils Sparrow, an AI chatbot that is trained on DeepMind’s large language model Chinchilla.
Sparrow is designed to talk with humans and answer questions, using a live Google search to inform those answers. Based on how useful people find those answers, it’s then trained using a reinforcement learning algorithm, which learns by trial and error to achieve a specific objective. This system is intended to be a step forward in developing AIs that can talk to humans without dangerous consequences, such as encouraging people to harm themselves or others.
Large language models generate text that sounds like something a human would write. They are an increasingly crucial part of the internet’s infrastructure, being used to summarize texts, build more powerful online search tools, or as customer service chatbots.
But they are trained by scraping vast amounts of data and text from the internet, which inevitably reflects lots of harmful biases. It only takes a little prodding before they start spewing toxic or discriminatory content. In an AI that is built to have conversations with humans, the results could be disastrous. A conversational AI without appropriate safety measures in place could say offensive things about ethnic minorities or suggest that people drink bleach, for example.
AI companies hoping to develop conversational AI systems have tried several techniques to make their models safer.
OpenAI, creator of the famous large language model GPT-3, and AI startup Anthropic have used reinforcement learning to incorporate human preferences into their models. And Facebook's AI chatbot BlenderBot uses an online search to inform its answers.
DeepMind’s Sparrow brings all these techniques together in one model.
DeepMind presented human participants multiple answers the model gave to the same question, and asked them which one they liked the most. They were then asked to determine whether they thought the answers were plausible, and whether Sparrow had supported the answer with appropriate evidence, such as links to sources. The model managed plausible answers to factual questions—using evidence that had also been retrieved from the internet—78% of the time.
In formulating those answers, it followed 23 rules determined by the researchers, such as not offering financial advice, making threatening statements, or claiming to be a person.
The difference between this approach and its predecessors is that DeepMind hopes to use “dialogue in the long term for safety,” says Geoffrey Irving, a safety researcher at DeepMind.
“That means we don’t expect that the problems that we face in these models—either misinformation or stereotypes or whatever—are obvious at first glance, and we want to talk through them in detail. And that means between machines and humans as well,” he says.
DeepMind’s idea of using human preferences to optimize how an AI model learns is not new, says Sara Hooker, who leads Cohere for AI, a nonprofit AI research lab.
“But the improvements are convincing and show clear benefits to human-guided optimization of dialogue agents in a large-language-model setting,” says Hooker.
Douwe Kiela, a researcher at AI startup Hugging Face, says Sparrow is “a nice next step that follows a general trend in AI, where we are more seriously trying to Improve the safety aspects of large-language-model deployments.”
But there is much work to be done before these conversational AI models can be deployed in the wild.
Sparrow still makes mistakes. The model sometimes goes off subject or makes up random answers. Determined participants were also able to make the model break rules 8% of the time. (This is still an improvement over older models: DeepMind’s previous models broke rules three times more often than Sparrow.)
“For areas where human harm can be high if an agent answers, such as providing medical and financial advice, this may still feel to many like an unacceptably high failure rate,” Hooker says. The work is also built around an English-language model, “whereas we live in a world where technology has to safely and responsibly serve many different languages,” she adds.
And Kiela points out another problem: “Relying on Google for information-seeking leads to unknown biases that are hard to uncover, given that everything is closed source.”
There’s no returning to the way we used to work in 2019. The world has changed, and leadership needs to keep up. Our latest Work Trend Index research reveals that getting hybrid work right will require not just new leadership skills, but a whole new mindset.
This moment–and the hybrid era ahead–call for leading like a scientist: being curious, gathering the right information, and testing and challenging our own hypotheses to reach the best answers.
At Microsoft, we believe in leading with data, not dogma. That means leading with the right data–numbers that measure outcomes, not just activity. Leaders have a choice: either embrace this mindset to fuel success for both employees and organizations or face economic and cultural headwinds along with outdated metrics and false assumptions.
In our survey, 85% of leaders said that the shift to hybrid work has made it challenging to have confidence that people are productive. They may have reason to worry: In the U.S. we’ve seen signs that economic productivity has recently declined. Yet most employees (87%) report that they are productive at work–and Microsoft telemetry confirms that meeting overload, multitasking, and long workdays are the norm, not the exception.
We call this productivity paranoia: Leaders are thinking their people aren’t working enough, while many employees are working more than ever.
Some leaders miss the visibility that the office used to provide, and some companies have even turned to monitoring keystrokes, mouse movements, and onscreen activity to alleviate this paranoia. But while you might get a lot of data from tracking this type of employee activity, I can confidently say it’s the wrong data.
At Microsoft, we believe that using technology to spy on people at work is not the answer and our technology is not designed for that purpose. Measuring productivity with mouse movements is like using a sundial as a stopwatch. And surveillance doesn’t just lead to bad data–it undermines trust, a critical factor in organizational success that, once lost, is incredibly difficult to regain.
However, if leaders can move away from surveillance and embrace a more scientific mindset, data insights viewed in aggregate can be used to help people and teams do their best work, all while balancing productivity and well-being. Our research reveals three key ways leaders can act more like scientists to drive business impact: focus on outcomes, measure what matters, and listen to understand.
Leaders urgently need to pivot from worrying about whether their people are working enough to helping them focus on the work that’s most important. That means prioritizing value over volume and outcomes over activity. "Busywork" is bad for the bottom line, and leaders are overdue in acknowledging this to themselves and to their employees.
Some 81% of employees say it’s important to have managers help them prioritize their workload, but less than a third (31%) say their managers never give clear guidance on how to do that during one-on-ones. And managers need all the help they can get: 84% told us more guidance on prioritizing their own work would help their performance, and 80% say they’d personally benefit from more clarity from senior leadership on impactful priorities.
Leaders not only need to set tangible goals like OKRs (Objectives and Key Results), but they should also establish NO-KRs–those tasks that employees will not do in order to get the most critical work done. They need to align teams around impact and alleviate "busywork" that doesn’t support key goals.
Looking around the office was never an accurate or efficient way to assess impact, alignment, and well-being. Neither is its digital equivalent, workplace surveillance.
Instead of measuring activity, measure outcomes–the results that are directly tied to business success. You should also look for ways to gather intelligent insights on engagement, digital exhaustion, and well-being through an employee experience platform.
This helps you measure team progress toward goals (not how many emails it took to get there) and can warn managers when team wellbeing may be at risk, putting productivity and ultimately business success at risk as well.
It also helps foster a healthier work culture where managers, teams, and employees can do their best. For example, flagging managers when a team is experiencing meeting overload, or reminding an individual they haven’t booked focus time for the week.
The data shows that only 43% of employees strongly agree that their company solicits employee feedback at least once a year–meaning over half of the companies rarely–if ever–ask employees about their experience at work.
Employees are often closest to the business processes and pain points that can hurt or help productivity. If leaders aren’t asking for their insight, they’re missing valuable information, as well as an opportunity to foster employee engagement.
Our research shows that employees who feel their companies use their feedback to drive change are significantly more satisfied (90% vs. 69%) and engaged (89% vs. 73%) compared to those who believe their companies don’t take action.
In our hybrid world, leaders need to be intentional about regularly asking for and truly listening to employee feedback to keep a pulse on how their people are doing. Consider co-creating new metrics or experimental approaches with them to encourage buy-in and transparency.
In uncertain economic times, leaders feel more pressure than ever to deliver success and get the best from their employees. But if you think simply monitoring and measuring activity will get you there, you’re simply wrong.
The leaders who help their organizations pull ahead will be the ones who think, act, and manage like scientists—gathering data from multiple sources, experimenting to test hypotheses before acting on them and being open to unexpected outcomes. The ones who don’t will fall behind.
Jared Spataro is Microsoft’s corporate vice president of modern work.
The opinions expressed in Fortune.com commentary pieces are solely the views of their authors and do not reflect the opinions and beliefs of Fortune.
This story was originally featured on Fortune.com
Are you struggling to guess the Heardle for October 17? Would you like some help?
Did you have a good weekend? Hopefully, you were able to rest and recharge to take on a new work week. Let’s have a “Victory Monday” on Heardle. This iconic pop song has been featured in multiple films, including one about models.
Remember, if you need help, we have listed some hints below to guide you in the right direction.
If you missed yesterday’s song of the day, then you can find the answer here. Make sure to come back daily for hints and help to solve the daily Heardle.
Heardle is like Wordle or Framed, but with a musical twist. Players listen to a clip from a popular song and try to guess the artist and song title. Players unlock a few more seconds of the song with every incorrect or skipped answer. The maximum number of guesses is six, which means users will hear 16 seconds of the song at most.
The goal is to name the song in as few guesses as possible.
Do you give up and need some assistance? Don’t worry about it — we’re here to help! If you want to see the answer to today’s Heardle, scroll below.
The answer to today’s Heardle is …
Trying to solve Wordle #457 for September 19, 2022, and need some help?
Happy Monday, everyone! Let’s kick off the week with an easy Wordle win to feed that win streak. Let’s try to get this one in under three guesses to really stick it to your Wordle friends and family.
Today’s Wordle is going to be tricky — it’s not a word most people use very often. Here are a few hints that’ll help you guess the answer today.
Before you take a look at the hints below, check out our easy guide on playing Wordle for some tips and tricks for playing daily, including strategies and good starting words. And bookmark our Wordle hub so you can come back for more hints and answers.
Wordle is a vocabulary game in which players get six tries to guess a five-letter word. Once you enter a guess, individual letters within the word you entered will appear in different colors. Each color has a different meaning.
The goal is to guess the correct word in as few attempts as possible.
Still having trouble? No worries — you can’t get them all! If you just want to see today’s Wordle answer to continue your streak, you can find it below.
The answer to today’s Wordle is …