NEWS
Mirror founder Brynn Putnam on life with Lululemon — and whether or not she sold too soon
Brynn Putnam has a lot to feel great about. A Harvard grad and former professional ballet dancer who opened the first of what have become three high-intensity fitness studios in New York, she then launched a second business in 2016 when — while pregnant with her son — she was exercising at home and couldn’t find a natural way to watch a class on her laptop or phone. Her big idea: to install mirrored screens in users’ homes that are roughly eight square feet and through which they can work out to all manner of streamed and on-demand exercise classes, paying a monthly subscription of just $39 per month.
If you’ve followed the home fitness craze, you already know these Mirrors quickly took off with celebrities, who gushed about the product on social media. Putnam’s company also attracted roughly $75 million in venture funding across several fast rounds. Indeed, by the end of last year, people had bought “tens of thousands” of Mirrors, according to Putnam, and she was beginning to envision Mirrors as content portals that might feature fashion, enable doctors’ visits and bring both kids’ classes and therapy into users’ homes. As she told The Atlantic back in January, “We view ourselves as the third screen in people’s homes.”
Then, in June, the company revealed it had sold for $500 million in cash — including a $50 million earn-out — to the athleisure company Lululemon. For Putnam, the deal was too compelling, allowing her to secure the future of her company, which continues to run as a subsidiary. Investors might have liked it, too, given that it meant a fast return on their investment, not to mention that Mirror had steep competition, including from Peloton, a growing giant in the home fitness market.
For now, the deal seems to be clicking. Just today, Lululemon announced that it is installing Mirrors in 18 of its now 506 U.S. locations, including San Francisco, Washington, D.C. and Miami. While Lululemon hasn’t started selling products directly through Mirror yet, “shoppable content” is “certainly on our radar” too, says Putnam. Meanwhile, Mirror’s revenues, expected earlier this year to reach $100 million, are now on target to surpass $150 million in revenue, she says.
Still, as the pandemic has raged on, it’s easy to wonder what the young company might have grown into given the amount of time that people and their children are spending at home and in front of their screens. In conversation late last week, we put the question to Putnam, who continues to manage a team of 125 people. Our chat, lightly edited, follows. You can listen to the full conversation here.
TC: People who follow the company know why you started Mirror, but how, exactly, did you start Mirror?
BP: In the case of Mirror, I had this concept for the product, and then really, the first step was buying a Raspberry Pi, a piece of one-way glass and an Android tablet, and assembling it in my in my kitchen to see if this idea in my mind would be able to work and come to life.
TC: Did you take any coding classes? People might not imagine that a former ballet performer with a chain of fitness studios would put something together like that in her kitchen.
BP: No, I’ve been very fortunate to have a husband who has a bit of a development background. And so he helped me to put the first little bit of code into the Mirror and just really ensure that the concept I had in my mind could be brought to life. And then from there, obviously, over time, we hired a team.
TC: Are they manufactured in the States? In China? How did you start figuring out how to put those pieces together?
BP: I had heard a lot of hardware horror stories about teams working with design agencies to design these beautiful products and who, by the time they actually got to manufacturing, found out that something wasn’t feasible about their design when it came to commercialization or just running out of money in the process. So I actually went backwards. I drew a sketch on a napkin and did a small set of bullets of the things that I thought were really just crucial to make the product a success. And then I went to find factories in China that were familiar with digital signage, working with large pieces of glass, large mirrors, learned about their systems and processes, and then brought it back to the U.S. to a local manufacturer here on the East Coast to refine into a prototype. And then we eventually moved to Mexico when we were ready to scale.
TC: The mirror is about $1,500 dollars. How did you go about winning the trust of consumers that would lead them to make such a sizable investment?
BP: When you’re building a [new] product, you can’t really compete on specs and features like you do with phones or laptops. So you’re really building a brand, which means that you’re telling stories. And in our case, we spent a lot of time, from the very early days, really imagining the life of our members and figuring out how to craft and tell that story.
And then we were fortunate early on to have members fall in love with the product. And then they started to tell our story for us. So once you have that customer flywheel that starts to kick in, your job becomes much easier.
TC: You had actors, celebrities, designers and social media influencers talking about their Mirrors. Was it just a matter of sending it off to a few people who started getting online and sharing [their enthusiasm for the product] with their followers? Was it that simple?
BP: We knew that we wanted to make big bets early on to make the Mirror brand seem larger and more established than it was, because it’s a premium product in a new category. And we wanted people to trust in us and the brand. And so we did things like out-of-home advertisements quite early, we moved into television quite early, and we also did some very strategic early celebrity placements. But the way in which the celebrity placements grew and expanded was very much not intended and was just kind of a fascinating early example of the network effects of the product. One celebrity would get it and then another would see it in their home. Or they would see it in their stylist’s home or their agent’s home.
TC: How did you convince early adopters that your business had staying power, and were investors persuaded as quickly?
BP: Trying to assure customers that they wouldn’t invest in this Mirror, and then the company would go out of business in a few years and they’d be left with a piece of hardware but no access to the content or the community that they’d fallen in love with, was very important. It was one of the factors in deciding to partner with Lululemon and have the incredible brand stability and love of such a premium global brand.
In terms of fundraising, I think we were really fortunate to have a product that once you saw it, you got it and fell in love with it in a market that was clearly big and growing, with a really good competitive data point in Peloton.
TC: Who started that conversation with Lululemon? Were you talking to Peloton and other potential acquirers?
BP: I’ve been really fortunate to actually work with Lululemon for my entire fitness career. There was a team of Lululemon educators here in New York who were the very first clients of my studio business, and frankly, in many ways were responsible for helping that business to grow and thrive and to give me confidence as a first-time small business owner. Then we reconnected with Lululemon about a year before the acquisition as an investor; they made a small minority investment in the company. And we began to work together on various projects . . . From there, really, the partnership just grew. Mirror was not for sale. We were not looking for an acquirer. But it’s really your responsibility as a founder to always be weighing your vision, your responsibility to your team and your responsibility to your shareholders. And so when the opportunity presented itself — before COVID actually — it felt like really just too good an opportunity to pass up.
TC: But you also you had ambitions of turning this into a much broader content portal where you would maybe have doctor visits and other things, which I would think won’t happen now.
BP: The vision for Mirror very much remains the same and we’re excited to continue to expand the types of content that we offer via the Mirror platform, really with an eye toward any type of immersive experience that makes you a better version of yourself. So I think you will see a broader range of content from us in the coming years.
TC: You’ve mentioned in the past that Mirror is a product that’s used by families. Is there children’s programming or is that coming soon?
BP: More than 65% of our households have over two members, which means that you’re often getting younger members of the household involved. I do think that is a function of both the versatility of the platform and the fact that multiple people can participate in more content. At the same time, we’ve actually seen the number of users under 20 grow about 5x during the COVID months as young adults have returned home to be with their their families or teenagers have started doing remote schooling. So we’ve leaned into that with what we call “family fun” content that’s designed to be performed by the whole family together.
TC: Do you see a secondary market for refurbished Mirrors in the future? Will there be a second version, if there isn’t already?
BP: We’ll obviously continue to to refine the hardware over time, but the real focus of the business is through improving the content, community and experience, and so for us — unlike Apple, where the goal is to really release a new model every year and continue to have folks upgrade the hardware — we focus on providing updates via the software and the content, so that we’re continuing to add value onto the baseline experience.
TC: What can people look forward to on this front?
BP: We’re taking a major step toward building a connected community through our community feature set launching this holiday, including a community feature that enables members to see and communicate with each other and their instructor; face-offs that allow members to compete head-to-head against another member of the community and earn points as you hit your target heart rate zones; and friending, so you can find and follow your friends in the Mirror community to share your favorite workouts, join programs together and cheer each other on.
TC: Are you still selling Mirrors to hotels and businesses outside of Lululemon?
BP: We do have B2B relationships. You can find mirrors in hotels, small gyms, buildings, residences and then obviously direct-to-consumer through the Mirror website, the Lululemon website and both of our [offline] stores.
TC: When you look at Peloton now and how its stock has completely exploded this year, do you think ever that you should have hung on a little longer? Do you ever think ‘maybe I sold too soon?’
I’ve woken up every day really for my entire career kind of focused on the same mission but trying to solve the problem and achieve my vision and in different ways. Which is: I really believe that confidence in your own skin is the foundation of a good and happy life. And fitness is an incredible tool for building that confidence that carries over into your personal relationships, your work performance, your friendships. And so for me, that’s always really been my North Star. ‘How do we get more Mirrors into more homes and provide more access to to that self confidence?’ So I spend very little time comparing to competitors and much more time focused on our members’ needs and how to meet them.
NEWS
OpenAI Introduces Fine-Tuning for GPT-4 and Enabling Customized AI Models
OpenAI has today announced the release of fine-tuning capabilities for its flagship GPT-4 large language model, marking a significant milestone in the AI landscape. This new functionality empowers developers to create tailored versions of GPT-4 to suit specialized use cases, enhancing the model’s utility across various industries.
Fine-tuning has long been a desired feature for developers who require more control over AI behavior, and with this update, OpenAI delivers on that demand. The ability to fine-tune GPT-4 allows businesses and developers to refine the model’s responses to better align with specific requirements, whether for customer service, content generation, technical support, or other unique applications.
Why Fine-Tuning Matters
GPT-4 is a very flexible model that can handle many different tasks. However, some businesses and developers need more specialized AI that matches their specific language, style, and needs. Fine-tuning helps with this by letting them adjust GPT-4 using custom data. For example, companies can train a fine-tuned model to keep a consistent brand tone or focus on industry-specific language.
Fine-tuning also offers improvements in areas like response accuracy and context comprehension. For use cases where nuanced understanding or specialized knowledge is crucial, this can be a game-changer. Models can be taught to better grasp intricate details, improving their effectiveness in sectors such as legal analysis, medical advice, or technical writing.
Key Features of GPT-4 Fine-Tuning
The fine-tuning process leverages OpenAI’s established tools, but now it is optimized for GPT-4’s advanced architecture. Notable features include:
- Enhanced Customization: Developers can precisely influence the model’s behavior and knowledge base.
- Consistency in Output: Fine-tuned models can be made to maintain consistent formatting, tone, or responses, essential for professional applications.
- Higher Efficiency: Compared to training models from scratch, fine-tuning GPT-4 allows organizations to deploy sophisticated AI with reduced time and computational cost.
Additionally, OpenAI has emphasized ease of use with this feature. The fine-tuning workflow is designed to be accessible even to teams with limited AI experience, reducing barriers to customization. For more advanced users, OpenAI provides granular control options to achieve highly specialized outputs.
Implications for the Future
The launch of fine-tuning capabilities for GPT-4 signals a broader shift toward more user-centric AI development. As businesses increasingly adopt AI, the demand for models that can cater to specific business needs, without compromising on performance, will continue to grow. OpenAI’s move positions GPT-4 as a flexible and adaptable tool that can be refined to deliver optimal value in any given scenario.
By offering fine-tuning, OpenAI not only enhances GPT-4’s appeal but also reinforces the model’s role as a leading AI solution across diverse sectors. From startups seeking to automate niche tasks to large enterprises looking to scale intelligent systems, GPT-4’s fine-tuning capability provides a powerful resource for driving innovation.
OpenAI announced that fine-tuning GPT-4o will cost $25 for every million tokens used during training. After the model is set up, it will cost $3.75 per million input tokens and $15 per million output tokens. To help developers get started, OpenAI is offering 1 million free training tokens per day for GPT-4o and 2 million free tokens per day for GPT-4o mini until September 23. This makes it easier for developers to try out the fine-tuning service.
As AI continues to evolve, OpenAI’s focus on customization and adaptability with GPT-4 represents a critical step in making advanced AI accessible, scalable, and more aligned with real-world applications. This new capability is expected to accelerate the adoption of AI across industries, creating a new wave of AI-driven solutions tailored to specific challenges and opportunities.
This Week in Search News: Simple and Easy-to-Read Update
Here’s what happened in the world of Google and search engines this week:
1. Google’s June 2024 Spam Update
Google finished rolling out its June 2024 spam update over a period of seven days. This update aims to reduce spammy content in search results.
2. Changes to Google Search Interface
Google has removed the continuous scroll feature for search results. Instead, it’s back to the old system of pages.
3. New Features and Tests
- Link Cards: Google is testing link cards at the top of AI-generated overviews.
- Health Overviews: There are more AI-generated health overviews showing up in search results.
- Local Panels: Google is testing AI overviews in local information panels.
4. Search Rankings and Quality
- Improving Rankings: Google said it can improve its search ranking system but will only do so on a large scale.
- Measuring Quality: Google’s Elizabeth Tucker shared how they measure search quality.
5. Advice for Content Creators
- Brand Names in Reviews: Google advises not to avoid mentioning brand names in review content.
- Fixing 404 Pages: Google explained when it’s important to fix 404 error pages.
6. New Search Features in Google Chrome
Google Chrome for mobile devices has added several new search features to enhance user experience.
7. New Tests and Features in Google Search
- Credit Card Widget: Google is testing a new widget for credit card information in search results.
- Sliding Search Results: When making a new search query, the results might slide to the right.
8. Bing’s New Feature
Bing is now using AI to write “People Also Ask” questions in search results.
9. Local Search Ranking Factors
Menu items and popular times might be factors that influence local search rankings on Google.
10. Google Ads Updates
- Query Matching and Brand Controls: Google Ads updated its query matching and brand controls, and advertisers are happy with these changes.
- Lead Credits: Google will automate lead credits for Local Service Ads. Google says this is a good change, but some advertisers are worried.
- tROAS Insights Box: Google Ads is testing a new insights box for tROAS (Target Return on Ad Spend) in Performance Max and Standard Shopping campaigns.
- WordPress Tag Code: There is a new conversion code for Google Ads on WordPress sites.
These updates highlight how Google and other search engines are continuously evolving to improve user experience and provide better advertising tools.
Facebook Faces Yet Another Outage: Platform Encounters Technical Issues Again
Uppdated: It seems that today’s issues with Facebook haven’t affected as many users as the last time. A smaller group of people appears to be impacted this time around, which is a relief compared to the larger incident before. Nevertheless, it’s still frustrating for those affected, and hopefully, the issues will be resolved soon by the Facebook team.
Facebook had another problem today (March 20, 2024). According to Downdetector, a website that shows when other websites are not working, many people had trouble using Facebook.
This isn’t the first time Facebook has had issues. Just a little while ago, there was another problem that stopped people from using the site. Today, when people tried to use Facebook, it didn’t work like it should. People couldn’t see their friends’ posts, and sometimes the website wouldn’t even load.
Downdetector, which watches out for problems on websites, showed that lots of people were having trouble with Facebook. People from all over the world said they couldn’t use the site, and they were not happy about it.
When websites like Facebook have problems, it affects a lot of people. It’s not just about not being able to see posts or chat with friends. It can also impact businesses that use Facebook to reach customers.
Since Facebook owns Messenger and Instagram, the problems with Facebook also meant that people had trouble using these apps. It made the situation even more frustrating for many users, who rely on these apps to stay connected with others.
During this recent problem, one thing is obvious: the internet is always changing, and even big websites like Facebook can have problems. While people wait for Facebook to fix the issue, it shows us how easily things online can go wrong. It’s a good reminder that we should have backup plans for staying connected online, just in case something like this happens again.
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