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Robotic Automations

Colab's collaborative tools for engineers line up $21M in new funding | TechCrunch


Engineers Adam Keating and Jeremy Andrews were tired of using spreadsheets and screenshots to collab with teammates — so they launched a startup, Colab, to build a better way. The two met as undergraduates at Memorial University of Newfoundland, where they studied mechanical engineering together. While they were completing their last internships prior to graduating […]

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Software Development in Sri Lanka

Robotic Automations

U.K. agency releases tools to test AI model safety | TechCrunch


The U.K. Safety Institute, the U.K.’s recently established AI safety body, has released a toolset designed to “strengthen AI safety” by making it easier for industry, research organizations and academia to develop AI evaluations.  Called Inspect, the toolset — which is available under an open source license, specifically an MIT License — aims to assess certain […]

© 2024 TechCrunch. All rights reserved. For personal use only.


Software Development in Sri Lanka

Robotic Automations

Meta's AI tools for advertisers can now create full new images, not just new backgrounds | TechCrunch


Meta is rolling out an expanded set of generative AI tools for advertisers, after first announcing a set of AI features last October. Now, instead of only being able to create different backgrounds for a product image, advertisers can also request full image variations, which offer AI-inspired ideas for the overall photo, including riffs that update the photo’s subject or product being advertised.

In one example, Meta shows how an existing ad creative showing a cup of coffee sitting outdoors next to coffee beans could be modified to present the cup, from a different angle, in front of lush greenery and coffee beans, evoking imagery reminiscent of a coffee farm.

This may not be a big deal if the image is only mean to encourage someone to visit a local coffee shop. But if it was the coffee cup itself that was for sale, then the AI variations Meta offers could be versions of the product that didn’t exist in real life.

The feature could be abused by advertisers who wanted to dupe consumers into buying products that don’t actually exist.

Meta admits this is a possible use case, saying that an advertiser could tailor the generated output with the coming Text Prompt feature with different colors of their product, from different angles and in different scenarios. Currently, the “different colors” option could be used to dupe customers into thinking a product looked different than it does in real life.

As Meta’s example demonstrates, the coffee cup itself could be transformed into different colors, or could be shown from different angles, where each cup has its own distinct swirl of foaming milk mixed in with the hot beverage.

However, Meta claims that it has strong guardrails in place to prevent its system from generating inappropriate ad content or low-quality images. This includes “pre-guardrails” to filter out images that its gen AI models don’t support and “post-guardrails” that filter out generated text and image content that doesn’t meet its quality bar or that it deems inappropriate. Plus, Meta said it stress-tested the feature using its Llama image and full ads image generation model with both internal and external experts to try to find unexpected ways it could be used, then addressed any vulnerabilities found.

Meta says this feature has already begun to roll out, and in the months ahead, advertisers will be able to provide text prompts to tailor the image’s variations, too.

Image Credits: Meta

Plus, Meta will now allow advertisers to add text overlays on their AI-generated images with a dozen of the most popular font typefaces available to choose from.

Another feature, image expansion, also introduced in October 2023, will now be available to Reels in addition to the Feed, across both Facebook and Instagram. This option leverages AI to help advertisers adjust their image assets to fit across different aspect ratios, like Reels and Feed. The idea is that advertisers could spend less time repurposing their creative assets for different surfaces. Meta says text overlay will work along with image expansion, too.

One advertiser, smartphone case maker Casetify, said that using Meta’s GenAI Background Generation feature led to a 13% increase in return on its ad spend. The company had tested the option with its Advantage+ shopping campaigns, where the AI features first became available in the fall. The updated AI features will also be available through Ads Manager via Advantage+ creative, as before.

Image Credits: Meta

Beyond images, Meta’s AI can be used to generate alternate versions of the ad headline, in addition to the ad’s primary text, which was already supported by leveraging the original copy. Meta says it’s testing the ability for this text to also sound like the brand’s voice and tone, using previous campaigns as its reference material. Text generation capabilities will be moved to Mets’s next-gen LLM (large language model), Meta Llama 3.

All the generative AI features will become available globally to advertisers by the end of the year.

Outside of the AI updates, Meta also announced it would expand its subscription service, Meta Verified for businesses, to new markets including Argentina, Mexico, Chile, Peru, France, and Italy. The service began testing last year in Australia, New Zealand and Canada. 

Now, Meta Verified will offer four different tiers to its subscription plan, all with the base features of a verified badge, account support, and impersonation monitoring. Higher tiers will include new tools like profile enhancements, tools for creating connections, and more ways to access customer support.

Meta Verified will be expanded to WhatsApp soon, the company also said.


Software Development in Sri Lanka

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

Atlassian combines Jira Software and Work Management tools | TechCrunch


At its Team ’24 event in Las Vegas, Atlassian today announced that it is combining Jira Software with Jira Service Management into a single product under the ‘Jira’ brand.

The origins of Jira, Atlassian’s flagship project management tool, are in software development and issue tracking for developers, but throughout the past few years, the company started to launch Jira versions for other teams as well. These included Jira Work Management for business teams like marketing, sales and human resources, which launched in 2021 and replaced a previous product called Jira Core.

“We believe great teams are built on a foundation of shared goals, coordinated work, and free-flowing information across functions,” writes Dave Meyer, the head of product for Jira, in today’s announcement. “That’s why the latest evolution of Jira offers a shared place for every team to align on goals and priorities, track and collaborate on work, and get the insights they need to build something incredible, together. We’ve taken the best of Jira Work Management and Jira Software to make a single project management tool ready to help any team go from good to great.”

The idea here is to offer a cross-functional tool that allows different teams inside a company to more easily collaborate and track their work. While there were already connections between Jira Software and Jira Work Management (plus Work Management is already included in every Jira subscription for free), Atlassian says that this combined version will reduce friction and help different teams align on common goals, no matter whether they are engineers, marketers or designers, for example.

It’s worth noting that Jira Service Management for IT teams is not affected by this change.

More AI in Jira

With this change, Atlassian is also bringing a number of new features to Jira to enable this kind of collaboration. Unsurprisingly, these include several new AI-based tools.

Maybe the most interesting of these is the new AI work breakdown (coming to Jira and Jira Premium users soon), which can help teams break down their epics into individual issues (or issues into sub-tasks) automatically — with the ability to edit them manually, too, of course. That takes away some of the grunt project management work and will free up project managers to focus on the bigger-picture items on their to-do lists.

Soon, Jira will also be able to sum up issue comments automatically. This capability will also come to Confluence, Atlassian’s wiki-like workspace tool.

Currently, to become a Jira power user, you’ll need to learn the Jira Query Language (JQL) to search for issues on the platform. Now, thanks to the power of large language models, users will be able to use natural language to create these JQL queries.

Image Credits: Atlassian

And for those occasions where you don’t know exactly what to write, Atlassian is also introducing a new generative AI writing tool to Jira that can create, summarize and improve descriptions and comments. These same capabilities are also coming to Atlassian’s Trello and Bitbucket, with Jira Product Discovery and Confluence following soon.

Setting Goals

Since the entire purpose of combining these two tools is to make collaboration easier, Jira is also getting a few new features that help teams align on their overall goals. That feature, imaginatively dubbed ‘Goals,’ will roll out in the coming month and aims to help users to “create goals in Jira’s list and issue views to visualize how each task maps to a higher objective.” There will also be a directory of goals and goal progress charts “where goals can be viewed in the context of your projects.”

Image Credits: Atlassian

New views

Jira is also introducing a few new ways to work with issues and visualize them. You can now see every project in a spreadsheet-like list view, for example, and make in-line edits. Atlassian notes that this will also make bulk edits easier.

To better track complex projects, Jira Premium and Enterprise users now get access to the new ‘Plans’ feature, which allows users to track issues from different boards and projects in a single view.

Image Credits: Atlassian

“Now everyone – from leaders to program managers to team members – can estimate release dates for cross-team projects, answer staffing and resource questions, or map out yearly goals, all in a single view,” Meyer explains in today’s announcement.

Speaking of time, there is now also a new calendar view for tracking business projects with issues organized by due date. This, Meyer notes, will help business teams more easily align their work in sync with upcoming software releases. The full launch of this calendar feature is still a few months out, though.


Software Development in Sri Lanka

Robotic Automations

Spotify's getting serious about its enterprise and dev tools business play | TechCrunch


You know that mildly jarring experience whenever that well-known celebrity shows up in an entirely different context — e.g. a musician making a horror flick cameo; an NFL player rearing their head in a comedy series; or a Hollywood movie icon selling mobile phone plans on TV? Well, it’s starting to feel like that with Spotify’s foray into the enterprise and developer tooling space — nothing wrong with it per se, but it makes you flinch just a little due to its divergence from the norm.

What we’re talking about is Backstage, a platform and framework Spotify introduced internally in 2016 to bring order to its developer infrastructure. Backstage powers customizable “developer portals” that combine tooling, apps, data, services, APIs and documents in a single interface. Want to monitor Kubernetes, check your CI/CD status, or track security incidents? Backstage to the rescue.

Lots of companies construct their own internal systems to help developers work more efficiently. And lots of companies release such systems to the public via an open source license to spur wider adoption, as Spotify did with Backstage in 2020. But it’s highly unusual for a consumer technology company to actively monetize this side of its business, which Spotify has been doing since 2022.

Now, Spotify is leaning even further into this play with the launch of a new suite of products and services designed to make Backstage the de facto developer portal platform for the software development industry.

Modular

Backstage is built on a modular, plug-in based architecture that allows engineers to layer-up their developer portal to meet their own needs. There is already a thriving marketplace for Backstage plugins, some developed by Spotify itself and some by the wider community including developers from Red Hat and Amazon Web Services (AWS) — AWS, for example, has developed a plugin to make data from Amazon Elastic Container Service (ECS) available in Backstage.

Since late 2022, Spotify has been selling a handful for premium plugins as a subscription, such as Backstage Insights which serves up data related to Backstage usage across an organization, including which plugins they’re engaging with most.

Backstage Insights plugin Image Credits: Spotify

The open source Backstage project has been adopted internally by some of the world’s most well-known companies, including LinkedIn, Twilio, American Airlines, Unity, Splunk, Ikea, HP, and more than 3,000 organizations. But as with just about any open source project, the main issue with Backstage is the complexity involved in getting set up — lots of integrations, configurations, and figuring out how it all glues together.

Thus, Spotify is now introducing an out-the-box version of the open source project called Spotify Portal, available in beta from today, which is pitched as a “full-featured, low-/no-code internal developer portal (IDP)” built atop Backstage.

Spotify Portal Image Credits: Spotify

Spotify Portal ships with quickstart tools for connecting all their internal services and libraries, replete with setup wizard for installing Portal and connecting it with a company’s GitHub and cloud provider.

“When you set up your IDP, typically you need to ingest a lot of software into that, because the point of the IDP is to capture your full software catalogue and map that to the user base, and there’s potentially a lot of integrations involved in,” Tyson Singer, Spotify’s head of technology and platforms, explained to TechCrunch. “And so with Spotify Portal for Backstage, we’ve basically given folks a no-code way to do that.”

Spotify Portal: Ingesting software catalog Image Credits: Spotify

Getting SaaS-y?

On the surface, this seems like some sort of SaaS-play, similar to how a commercial company might offer a fully-managed, hosted version of a popular open source product. But that isn’t quite what’s happening here — there is no hosted element to this, though that might change in the future. It’s what Singer calls “Backstage in a box,” one which is deployed within the customer’s own ecosystem either on-premises, or in their own cloud.

“It’s the customer who manages it,” Singer said. “What’s important from our perspective is that we’ve really focused on both reducing the startup time and the maintenance time. So that means not only is the setup and the onboarding ‘no-code,’ it’s also the maintenance where we’re reducing code. That really makes it quite easy to manage in your own particular context.”

However, in a follow-up question, a Spotify spokesperson clarified that Spotify Portal for Backstage is its “first step towards a managed product,” which means that it more than likely will be offered more like a SaaS service in the future. “We’ve seen a growing appetite for a more managed product that would allow us to share our expertise more directly with companies, and we want to be able to offer more in support of that need,” the spokesperson said. “Portal is our first step on that journey, but in the future, we’re going to expand our offerings as managed.”

In addition, Spotify is adding various enterprise support and services to the mix, which it says it has already been providing since last summer but hasn’t disclosed this until now. This includes one-on-one tech support from dedicated Backstage personnel at Spotify, and includes service-level agreements (SLAs), security reviews, and incident notifications. And for those wanting to get up-and-running with Backstage in the first instance, Spotify is also offering consulting services.

Spooling up

In essence, Spotify is now catering to three broad category of users: the core open source project for those with the resources and technical nous to self-deploy everything; the “hybrid adopters,” which is what Spotify calls those that have some of the necessary skills but need some support along the way; and then there are the businesses that need something a bit more oven-baked — which is where Spotify Portal enters the fray.

Similar to the pricing structure for its existing plugin subscriptions, which are charged based on “individual customer parameters” such as usage and capacity, the new Portal and enterprise services don’t come with up-front costs. It

“For pricing, we are referring customers back to our sales organisation,” Singer said. “It’s custom pricing.”

Given this transition to an enterprise-focused developer tools company, Spotify is also having to staff-up accordingly, though Singer wouldn’t share how many people it would be hiring or allocating to these new support roles.

“We are changing how we go forward with both our sales organisation and support,” Singer said. “So we’re shifting more focus towards how can we support customers in their initial journey and then also, once they’ve got it set up, their ongoing journey because we do want to be able to support them to get to value as quickly as possible.”

All this, it seems, is just the tip of the iceberg as far as Spotify’s developer tooling shift is concerned. The company is adding new features to some of its existing premium plugins, and it’s adding more plugins to the mix too. One of these is the “data experience” plugin, which makes it easier to add individual data entities to a software catalog — this includes built-in “ingestors” to scoop metadata from external data platforms, and make this available across Backstage.

Last year, Spotify also teased a totally separate product for software development teams called Confidence, which is like an A/B experimentation platform based on one of its own internal tools. For now, that remains a beta product, but Singer says that it’s “all systems go” as it readies things for prime-time in the future.

“We are super happy with the feedback that we’ve been getting from our [Confidence] beta customers so far,” Singer said. “We built out an experimentation platform that is broad and deep, covering a tremendous amount of use cases covering everything from your typical A/B testing on a user surface, to being able to do that across all of our ML [machine learning] use cases. And I think that really sets it aside, as more and more companies are using ML in the same sorts of ways that we are to optimise things.


Software Development in Sri Lanka

Robotic Automations

Exclusive: Simbian brings AI to existing security tools


Ambuj Kumar is nothing if not ambitious.

An electrical engineer by training, Kumar led hardware design for eight years at Nvidia, helping to develop tech including a widely used high-speed memory controller for GPUs. After leaving Nvidia in 2010, Kumar pivoted to cybersecurity, eventually co-founding Fortanix, a cloud data security platform.

It was while heading up Fortanix that the idea for Kumar’s next venture came to him: an AI-powered tool to automate a company’s cybersecurity workflows, inspired by challenges he observed in the cybersecurity industry.

“Security leaders are stressed,” Kumar told TechCrunch. “CISOs don’t last more than a couple of years on average, and security analysts have some of the highest churn. And things are getting worse.”

Kumar’s solution, which he co-founded with former Twitter software engineer Alankrit Chona, is Simbian, a cybersecurity platform that effectively controls other cybersecurity platforms as well as security apps and tooling. Leveraging AI, Simbian can automatically orchestrate and operate existing security tools, finding the right configurations for each product by taking into account a company’s priorities and thresholds for security, informed by their business requirements.

With Simbian’s chatbot-like interface, users can type in a cybersecurity goal in natural language, then have Simbian provide personalized recommendations and generate what Kumar describes as “automated actions” to execute the actions (as best it can).

“Security companies have focused on making their own products better, which leads to a very fragmented industry,” Kumar said. “This results in a higher operational burden for organizations.”

To Kumar’s point, polls show that cybersecurity budgets are often wasted on an overabundance of tools. More than half of businesses feel that they’ve misspent around 50% of their budgets and still can’t remediate threats, according to one survey cited by Forbes. A separate study found that organizations now juggle on average 76 security tools, leading IT teams and leaders to feel overwhelmed.

“Security has been a cat-and-mouse game between attackers and defenders for a long time; the attack surface keeps growing due to IT growth,” Kumar said, adding that there’s “not enough talent to go around.” (One recent survey from Cybersecurity Ventures, a security-focused VC firm, estimates that the shortfall of cyber experts will reach 3.5 million people by 2025.)

In addition to automatically configuring a company’s security tools, the Simbian platform attempts to respond to “security events” by letting customers steer security while taking care of lower-level details. This, Kumar says, can significantly cut down on the number of alerts a security analyst must respond to.

But that assumes Simbian’s AI doesn’t make mistakes, a tall order, given that it’s well established that AI is error-prone.

To minimize the potential for off-the-rails behavior, Simbian’s AI was trained using a crowdsourcing approach — a game on its website called “Are you smarter than an LLM?” — that tasked volunteers with trying to “trick” the AI into doing the wrong thing. Kumar explained that Simbian used this learning, along with in-house researchers, to “ensure the AI does the right thing in its use cases.”

This means that Simbian effectively outsourced part of its AI training to unpaid gamers. But, to be fair, it’s unclear how many people actually played the company’s game; Kumar wouldn’t say.

There are privacy implications of a system that controls other systems, especially concerning those that are security-related. Would companies — and vendors, for that matter — be comfortable with sensitive data funneling through a single, AI-controlled centralized portal?

Kumar claims that every attempt has been made to protect against data compromise. Simbian uses encryption — customers control the encryption keys — and customers can delete their data at any time.

“As a customer, you have full control,” he said.

While Simbian isn’t the only platform to attempt to apply a layer of AI over existing security tools — Nexusflow offers a product along a similar vein — it appears to have won over investors. The company recently raised $10 million from investors including Coinbase board member Gokul Rajaram, Cota Capital partner Aditya Singh, Icon Ventures, Firebolt and Rain Capital.

“Cybersecurity is one of the most important problems of our time, and has famously fragmented ecosystem with thousands of vendors,” Rajaram told TechCrunch via email. “Companies have tried to build expertise around specific products and problems. I applaud Simbian’s method of building an integrated platform that would understand and operate all of security. While this is extremely challenging approach from technology perspective, I’ll put my money — and I did put my money — on Simbian. It’s the team with unique experience all the way from hardware to cloud.”

Mountain View-based Simbian, which has 15 employees, plans to put the bulk of the capital it’s raised toward product development. Kumar’s aiming to double the size of the startup’s workforce by the end of the year.


Software Development in Sri Lanka

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