From Digital Age to Nano Age. WorldWide.

Tag: Snap

Robotic Automations

Snapchat launches new AR and ML tools for brands and advertisers | TechCrunch


At the 2024 IAB NewFronts event on Wednesday, Snapchat announced a series of new augmented reality (AR) and machine learning (ML) tools designed to help brands and advertisers reach users on the social network with interactive experiences.

The company said that it’s been investing in ML and automation to make it faster and easier for brands to create AR try-on assets. Over the past few years, Snapchat has worked with companies like Amazon and Tiffany & Co. to let users virtually try on different products in the app. The social network says it has now reduced the time it takes to create these AR try-on assets, which will allow brands to quickly turn more of their 2D product catalogs into try-on experiences.

Image Credits: Snapchat

Plus, brands can now create branded AR ads with generative AI technology to produce custom Lenses. Snapchat told TechCrunch that with this new capability, brands can provide a simple text or image prompt to generate a unique ML model that can add realistic face effects to a Lens. Lenses with these ML face effects can then be used as AR ads on Snapchat.

Snapchat also announced AR Extensions, which will allow advertisers to integrate AR Lenses and filters directly into all of the app’s ad formats, including Dynamic Product Ads, Snap Ads, Collection Ads, Commercials, and Spotlight Ads.

The company, which has been an early adopter of AR technology, says more than 300 million people engage with AR experiences on its app every day, on average.

The launch of the new tools for brands and advertisers comes a few days after Snap reported that its revenue for Q1 2024 increased 21% to $1.195 million, mainly due to improvements that it made to its advertising platform. The company also shared that the number of small and medium-sized advertisers on Snapchat increased 85% year-over-year.

Snapchat said on Wednesday that it’s focused on investing in its ad business and that it’s “encouraged” by the increased demand it’s seeing.

Image Credits: Snapchat

The company also announced that it’s launching a sports channel within Snapchat called the “Snap Sports Network.” The channel will cover unconventional sports, like dog surfing, extreme ironing, water bottle flipping, and more. It will include user-generated content, along with scripted content hosted by Snap Stars.

In addition, Snapchat is expanding its partnership with Live Nation with the launch of a new Snap Nation Public Profile that will feature exclusive behind-the-scenes content from concerts. Snapchat will also curate stories from Live Nation concerts and festivals featuring public posts from users.


Software Development in Sri Lanka

Robotic Automations

Snapchat's 'My AI' chatbot can now set in-app reminders and countdowns | TechCrunch


Snapchat is launching the ability for users to set in-app reminders with the help of its My AI chatbot, the company announced on Wednesday. The social network is also rolling out editable chats, AI-powered custom Bitmoji looks, map reactions, emoji reactions, and more.

With the new AI reminders feature, Snapchat is hoping users will use its app instead of their device’s default clock app when setting countdowns or reminders. Users can do so by asking the app’s My AI chatbot to set a reminder for a specific task or event directly in the AI’s chat window or when chatting with a friend.

The feature lets users do things like set a reminder to finish an assignment or set a countdown for an upcoming date night, for example. It also pushes Snapchat into productivity app territory, potentially driving increased usage.

Image Credits: Snapchat

As for the editable chats, users will soon be able to edit their messages for up to five minutes after sending them. The feature will be available first for Snapchat+ subscribers before rolling out to all users at some point in the future, the company says.

In addition, users will soon be able to design their own digital garments for their Bitmoji using generative AI.

For instance, you can customize a pattern for a sweater for your Bitmoji by typing out a prompt like “vibrant graffiti” or “skull flower.” The app will then generate a pattern that you can further customize by zooming in or out. Once you’re happy with a look, you can apply it to your Bitmoji or save it for future use.

Image Credits: Snapchat

In another update, users who have opted in to share their location with friends can now quickly react to their map locations. For instance, if you pass your friend on your morning commute, you can send them a wave. Or, if you see that your friend has made it home safely after hanging out, you can send them a heart.

Snapchat is also launching emoji reactions in chats. Although users have been able to react to messages with their Bitmoji to quickly respond to a chat, they can now do so with an emoji. Emoji reactions have become popular on many other platforms, like Instagram and Messenger, so it makes sense for Snapchat to roll out the functionality as well.

The launch of the new features comes a few days after Snap reported that it had 422 million daily active users in Q1 2024, an increase of 39 million, or 10% year-over-year. The company also saw the number of Snapchat+ subscribers more than triple year-over-year, surpassing 9 million subscribers.


Software Development in Sri Lanka

Robotic Automations

Snap says total watch time on its TikTok competitor increased more than 125% | TechCrunch


As part of its Q1 2024 earning release, Snap revealed that total watch time on its TikTok competitor, Spotlight, increased more than 125% year-over-year. Snapchat launched the TikTok-like feed in late 2020 as a way to compete with the rising popularity of TikTok. The company is touting the success of its short-from video feed a day after President Biden signed a bill that would ban TikTok if its Chinese parent company, ByteDance, fails to sell it within a year.

Snap says overall time spent watching content globally grew year-over-year, driven primarily by increases in total time spent watching Spotlight and creator Stories. The company says it has built more advanced ranking models over the past year that are driving improvements in content engagement.

The app had 422 million daily active users in Q1 2024, an increase of 39 million, or 10% year-over-year. Snapchat+ subscribers also more than tripled year-over-year, surpassing 9 million subscribers in the quarter.

Snap plans to continue to invest in generative AI models for the creation of Lenses on the platform, noting that the number of ML and AI Lenses viewed by users increased by more than 50% year-over-year.

The company’s revenue for the quarter increased 21% to $1,195 million, marking a return to double-digit growth. In its letter to investors, Snap attributes the growth to improvements that it made to its advertising platform, along with an increase in demand for its direct-response (DR) advertising solutions. The company says the number of small and medium sized advertisers on Snapchat increased 85% year-over-year.

Snap shares rose more than 26% in extended trading on Thursday.

The company, which laid off 10% of its workforce in Februrary, now says it expects headcount to “grow modestly as we move through 2024.”

Snap’s earnings release comes a day after Meta reported 27% growth for its first quarter. However, Meta’s shares plunged on weak revenue guidance and plans to invest “aggressively” in AI.


Software Development in Sri Lanka

Robotic Automations

Snap plans to add watermarks to images created with its AI-powered tools | TechCrunch


Social media company Snap said Tuesday that it plans to add watermarks to AI-generated images on its platform.

The platform is adding a logo of a small ghost with a sparkle icon to denote an AI-generated image. The company said the watermark would appear when the image is exported or saved to the camera roll.

Snap plans to show a Ghost logo with sparkle on AI-generated images using its tools. Image Credits: Snap

On its support page, the company said removing Snap’s Ghost with sparkles watermark violates its terms. It’s unclear how Snap plans to detect the watermark removal. We have asked the company for more details and will update the story when we hear back.

Other tech giants such as Microsoft, Meta, and Google have also taken steps to label or identify images created with AI-powered tools.

Currently, Snap allows users to create or edit AI-generated images with Snap AI for paid users and a selfie-focused feature called Dreams.

In its blog post outlining its safety and transparency practices around AI, the company explained that it shows gen-AI powered features such as Lenses with visual markers like a sparkling logo.

Snap lists indicators for features powered by generative AI. Image credits: Snap

The company also added context cards with AI-generated images from tools like Dream selfies to better inform the user.

In February, Snap partnered with HackerOne to stress its AI image-generation tools by adapting a bug bounty program. The company said it has also created a review process to remove problematic problems when AI-powered lenses are in development.

“We want Snapchatters from all walks of life to have equitable access and expectations when using all features within our app, particularly our AI-powered experiences. With this in mind, we’re implementing additional testing to minimize potentially biased AI results,” the company said on its blog.

Snapchat landed in hot water soon after introducing the “My AI” chatbot last year. A Washington Post report noted the bot was returning inappropriate responses to users. Later, the company rolled out controls in the Family Center for parents and guardians to monitor and restrict their teen’s interactions with AI.


Software Development in Sri Lanka

Robotic Automations

Snapchat turns off controversial 'Solar System' feature by default after bad press | TechCrunch


Less than a week after The Wall St. Journal reported on how a Snapchat feature dubbed “solar system” was adding to teens’ anxiety, the company has responded by adjusting how the feature works. The ranking system for paid subscribers today shows you how close you are to your Snapchat friends by displaying your position in their solar system. For example, a friend in the “Mercury” position would be someone you communicate with a lot, while “Uranus” would be someone not as close.

Of course, online chatting doesn’t necessarily correlate to real-world relationships, and such a feature can lead to hurt feelings when someone realizes that they’re not as close to a friend as they thought.

Snap says it has received feedback that it can feel good to know you’re close to someone but it can also feel bad to know you aren’t as close as you’d like to be.

“We’ve heard and understand that the Solar System can make that feeling worse, and we want to avoid that,” the company announced in a post on Friday.

However, instead of removing the feature, as it did with the dangerous and controversial speed filter, which it was sued over for “negligent design,” Snap is simply turning the Solar System feature off by default. Snapchat+ subscribers will still be able to turn the option on if they choose.

“We hope this strikes the right balance between providing a feature that is desired by many who use it while avoiding upsetting those who don’t want to use it,” the company explains.

Turning it off by default may provide some friction, but if the feature is already in demand among teens, then they’ll simply dig around to find the setting to turn it back on.

Snap argues that Solar System is not that popular, noting that less than 0.25% of the community uses the option. But since it’s only available to paid subscribers, the small percentage is not surprising. A more relevant stat would be how many Snapchat+ users have used Solar System or viewed the feature.

Although users can’t see who’s closer or farther away from the friend as they are, finding out they’re not number one has led to some tough conversations, The WSJ reported, even breakups.

Snap defends the feature by saying that people wanted to know more about their friendships, and features like Solar System provide “additional awareness and context.” But in reality, it’s a way to keep young people — a demographic where social hierarchy is key — addicted to using Snapchat.

The Solar System feature was only one of Snapchat’s friend ranking systems. It also offers a private feature called “Best Friends” that puts the people with whom you communicate most at the top of your contact list, along with a heart or smiley emoji, The WSJ pointed out.

Another much-debated feature called “Streaks” is a tool that Snapchat uses to encourage repeated use of its app by offering a visual representation of how many consecutive days users have stayed in touch with one another on the app. After much backlash from parents and families, lawmakers, and regulators alike over the feature’s addictive nature and psychological harms, Snap last year introduced a way to pause your streaks. It also added a way for users to restore a lost Streak.

While Snap promises in its blog post that it’s “committed to mitigating the potential downsides of online communication wherever possible,” it has intentionally built features and tools that have at least left it open to lawsuits and Congressional inquiry, if not worse.


Software Development in Sri Lanka

Robotic Automations

Why AWS, Google and Oracle are backing the Valkey Redis fork | TechCrunch


The Linux Foundation last week announced that it will host Valkey, a fork of the Redis in-memory data store. Valkey is backed by Amazon Web Services, Google Cloud, Oracle, Ericsson and Snap.

AWS and Google Cloud rarely back an open source fork together. Yet, when Redis Labs switched Redis away from the permissive three-clause BSD license on March 20 and adopted the more restrictive Server Side Public License (SSPL), a fork was always one of the most likely outcomes. At the time of the license change, Redis Labs CEO Rowan Trollope said he “wouldn’t be surprised if Amazon sponsors a fork,” as the new license requires commercial agreements to offer Redis-as-a-service, making it incompatible with the standard definition of “open source.”

It’s worth taking a few steps back to look at how we got to this point. Redis, after all, is among the most popular data stores and at the core of many large commercial and open source deployments.

A brief history of Redis

Throughout its lifetime, Redis has actually seen a few licensing disputes. Redis founder Salvatore Sanfilippo launched the project in 2009 under the BSD license, partly because he wanted to be able to create a commercial fork at some point and also because “the BSD [license] allows for many branches to compete, with different licensing and development ideas,” he said in a recent Hacker News comment.

After Redis quickly gained popularity, Garantia became the first major Redis service provider. Garantia rebranded to RedisDB in 2013, and Sanfilippo and the community pushed back. After some time, Garantia eventually changed its name to Redis Labs and then, in 2021, to Redis.

Sanfilippo joined Redis Labs in 2015 and later transferred his IP to Redis Labs/Redis, before stepping down from the company in 2020. That was only a couple of years after Redis changed how it licenses its Redis Modules, which include visualization tools, a client SDK and more. For those modules, Redis first went with the Apache License with the added Commons Clause that restricts others from selling and hosting these modules. At the time, Redis said that despite this change for the modules, “the license for open-source Redis was never changed. It is BSD and will always remain BSD.” That commitment lasted until a few weeks ago.

Redis’ Trollope reiterated in a statement what he told me when he first announced these changes, emphasizing how the large cloud vendors profited from the open source version and are free to enter a commercial agreement with Redis.

“The major cloud service providers have all benefited commercially from the Redis open-source project so it’s not surprising that they are launching a fork within a foundation,” he wrote. “Our licensing change opened the door for CSPs to establish fair licensing agreements with Redis Inc. Microsoft has already come to an agreement, and we’re happy and open to creating similar relationships with AWS and GCP. We remain focused on our role as stewards of the Redis project, and our mission of investing in the Redis source available product, the ecosystem, the developer experience, and serving our customers. Innovation has been and always will be the differentiating factor between the success of Redis and any alternative solution.”

Cloud vendors backed Valkey

The current reality, however, is that the large cloud vendors, with the notable exception of Microsoft, quickly rallied behind Valkey. This fork originated at AWS, where longtime Redis maintainer Madelyn Olson initially started the project in her own GitHub account. Olson told me that when the news broke, a lot of the current Redis maintainers quickly decided that it was time to move on. “When the news broke, everyone was just like, ‘Well, we’re not going to go contribute to this new license,’ and so as soon as I talked to everyone, ‘Hey, I have this fork — we’re trying to keep the old group together,’” she said, “pretty much everyone was like, ‘yeah, I’m immediately on board.”

The original Redis private channel included five maintainers: three from Redis, Olson and Alibaba’s  Zhao Zhao, as well as a small group of committers who also immediately signed on to what is now Valkey. The maintainers from Redis unsurprisingly did not sign on, but as David Nalley, AWS’s director for open source strategy and marketing, told me, the Valkey community would welcome them with open arms.

Olson noted that she always knew that this change was a possibility and well within the rights of the BSD license. “I’m more just disappointed than anything else. [Redis] had been a good steward in the past, and I think the community is kind of disappointed in the change.”

Nalley noted that “from an AWS perspective, it probably would not have been the choice that we wanted to see out of Redis Inc.” But he also acknowledged that Redis is well within its rights to make this change. When asked whether AWS had considered buying a license from Redis, he gave a diplomatic answer and noted that AWS “considered a lot of things” and that nothing was off the table in the team’s decision making.

“It’s certainly their prerogative to make such a decision,” he said. “While we have, as a result, made some other decisions about where we’re going to focus our energy and our time, Redis remains an important partner and customer, and we share a large number of customers between us. And so we hope they are successful. But from an open source perspective, we’re now invested in ensuring the success of Valkey.”

It’s not often that a fork comes together this quickly and is able to gather the support of this many companies under the auspice of the Linux Foundation (LF). That’s something that previous Redis forks like KeyDB didn’t have going for them. But as it turns out, some of this was also fortuitous timing. Redis’s announcement came right in the middle of the European version of the Cloud Native Computing Foundation’s KubeCon conference, which was held in Paris this year. There, Nalley met up with the LF’s executive director, Jim Zemlin.

“It ruined KubeCon for me, because suddenly, I ended up in a lot of conversations about how we respond,” he said. “[Zemlin] had some concerns and volunteered the Linux Foundation as a potential home. So we went through the process of introducing Madelyn [Olson] and the rest of the maintainers to the Linux Foundation, just to see if they thought that it was going to be a compatible move.”

What’s next?

The Valkey team is working on getting a compatibility release out that provides current Redis users with a transition path. The community is also working on an improved shared clustering system, improved multi-threaded performance and more.

With all of this, it’s not likely that Redis and Valkey will stay aligned in their capabilities for long, and Valkey may not remain a drop-in Redis replacement in the long run. One area Redis (the company) is investing in is moving beyond in-memory to also using flash storage, with RAM as a large, high-performance cache. That’s why Redis recently acquired Speedb. Olson noted that there are no concrete plans for similar capabilities in Valkey yet, but didn’t rule it out either.

“There is a lot of excitement right now,” Olson said. “I think previously we’ve been a little technologically conservative and trying to make sure we don’t break stuff. Whereas now, I think there’s a lot of interest in building a lot of new things. We still want to make sure we don’t break things but there’s a lot more interest in updating technologies and trying to make everything faster, more performant, more memory dense. […] I think that’s sort of what happens when a changing of the guard happens because a bunch of previous maintainers are now basically no longer there.”


Software Development in Sri Lanka

Robotic Automations

Former Snap AI chief launches Higgsfield to take on OpenAI's Sora video generator | TechCrunch


OpenAI captivated the tech world a few months back with a generative AI model, Sora, that turns scene descriptions into original videos — no cameras or film crews required. But Sora has so far been tightly gated, and the firm seems to be aiming it toward well-funded creatives like Hollywood directors — not hobbyists or small-time marketers, necessarily.

Alex Mashrabov, the former head of generative AI at Snap, sensed an opportunity. So he launched Higgsfield AI, an AI-powered video creation and editing platform designed for more tailored, personalized applications.

Powered by a custom text-to-video model, Higgsfield’s first app, Diffuse, can generate videos from scratch or take a selfie and generate a clip starring that person.

“Our target audience is creators of all types,” Mashrabov told TechCrunch in an interview, “from regular users who want to create fun content with their friends to social content creators looking to try a new content format to social media marketers who want their brand to stand out.”

Mashrabov came to Snap by way of AI Factory, his previous startup, which Snap acquired in 2020 for $166 million. While at Snap, Mashrabov helped build products like AR effects and filters for Snapchat, including Cameos, as well as Snapchat’s controversial MyAI chabot.

Higgsfield — which Mashrabov co-launched several months ago with Yerzat Dulat, an AI researcher specializing in generative video — offers a curated set of pre-generated clips, a tool to upload reference media (i.e. images and videos) and a prompt editor that lets users describe the characters, actions and scenes they wish to depict. Using Diffuse, users can insert themselves directly into an AI-generated scene, or have their digital likeness mimic things — like dance moves — captured in other videos.

Image Credits: Higgsfield

“Our model supports highly realistic movements and expressions,” Mashrabov said. “We’re pioneering ‘world models’ for consumers, which will allow us to build best-in-class video generation and editing with a great level of control.”

Higgsfield isn’t the only generative video startup going head to head with OpenAI. Runway was one of the first on the scene, and its tools continue to improve. There’s also Haiper, which has the backing of two DeepMind alums and over $13 million in venture cash.

Mashrabov argues that Diffuse will stand out thanks to its mobile-first, social-forward go-to-market strategy.

“By prioritizing iOS and Android apps instead of desktop workflows, we enable creators to create compelling social media content anytime and anywhere,” Mashrabov said. “Indeed, by building on mobile, we’re able to prioritize ease of use and consumer-friendly features from day one.”

Higgsfield is also running lean. Mashrabov says that the generative models underpinning the platform were developed by a 16-person team in less than nine months and trained on a cluster of 32 GPUs (32 GPUs might sound like a lot, but considering OpenAI uses tens of thousands, it’s not really). And Higgsfield has only raised $8 million to date, the bulk of which came from a recent seed funding tranche led by Menlo Ventures.

Image Credits: Higgsfield

To stay one step ahead of rivals, Higgsfield plans to put the seed cash toward building an improved video editor that’ll let users modify characters and objects in videos, and toward training more powerful video generation models specifically for social media use cases. In fact, Mashrabov sees social media — and social media marketing — as Higgsfield’s principle money-making niche.

While Diffuse is currently free to use, Mashrabov envisions a future where marketers pay some sort of fee or subscription for premium features, or for volume or large-scale campaigns.

“We believe Higgsfield unlocks an incredible level of realism and content production use cases for social media marketers,” he said. “We constantly hear from CMOs and creative directors that they need to optimize content production budgets and shorten timelines while still delivering impactful content. So we believe video generative AI solutions will be a core solution in helping them to achieve it.”

Of course, Higgsfield isn’t immune from the broader challenges facing generative AI startups.

It’s well-established that generative AI models like the kind powering Diffuse can “regurgitate” training data. Why’s that problematic? Well, if the models were trained on copyrighted content without permission or some sort of licensing agreement in place, those models’ users could unwittingly generate a copyright-infringing work — exposing them to lawsuits.

Image Credits: Higgsfield

Mashrabov wouldn’t reveal the source of Higgsfield’s training data (other than to say it comes from “multiple publicly available” places), and also wouldn’t say whether Higgsfield would retain user data to train future models, which might not sit right with some business customers. He did note that Diffuse users can request that their data be deleted at any time through the app.

Digital “cloning” platforms like Higgsfield are also ripe for abuse, as the wildfire spread of deepfakes on social media in recent months has shown.

In a similar vein, Higgsfield could make it easier to steal creators’ content. For instance, one need only upload a video of someone’s choreography to generate a video of themselves performing that same choreography.

I asked Mashrabov about what safeguards or protections Higgsfield might be using to attempt to prevent abuse, and — while he wouldn’t go into specifics — he claimed that the platform employs a mix of automated and manual moderation.

“We’ve decided to gradually roll out the product and test in select markets first, so that we can monitor where there’s the potential for abuse and evolve the product as necessary,” Mashrabov added.

We’ll have to wait and see how well that works in practice.


Software Development in Sri Lanka

Back
WhatsApp
Messenger
Viber