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Sunbird Brings iMessage to Android Back After 2023 Security Scandal

 



Sunbird has relaunched its iMessage app for Android users nearly three years after security issues forced the company to pause the service in 2023.

The app is now available on the Google Play Store and allows Android users to access iMessage conversations, including blue-bubble messages and group chats with iPhone users. Sunbird has also combined iMessage with Google Messages, RCS and SMS/MMS in the same application.

The company says the new version has been rebuilt with changes to how messages, Apple ID credentials and media are handled. Sunbird claims messages are encrypted on the Android device before they leave it, protected while travelling through its infrastructure and encrypted at rest using AES-256. It also says Apple ID passwords are used once to establish an iMessage session and then deleted.

The relaunch comes after researchers identified serious security problems in Sunbird's earlier implementation, including the transmission of Apple ID credentials over an unencrypted HTTP connection and access to messages and media stored through Firebase. Those findings led to the removal of Nothing Chats, an iMessage app developed by Nothing using Sunbird's technology, and Sunbird subsequently paused its own service.


Sunbird returns to the Google Play Store

Sunbird Messaging announced on August 5 that its Android application was open to all users through Google Play following an early-access period. The company said more than 181,000 people had signed up before the public launch.

The application is designed to allow Android users to participate in iMessage conversations without owning an iPhone, Mac or another Apple device. Sunbird says users can appear in blue-bubble conversations on iPhones and participate in iMessage group chats through the Android application.

The new app also acts as a unified messaging platform. Instead of limiting the application to iMessage, Sunbird has brought iMessage, Google Messages through RCS and SMS/MMS into one inbox.

The application now includes a Primary and Secondary inbox. Sunbird says the Primary section is intended for important conversations, while less important messages can be placed in Secondary. Users can control how their conversations are organised.

The company has also said it plans to add WhatsApp and Facebook Messenger support later in 2026.

The service is available with a 14-day free trial, after which Sunbird charges $2.99 per month or $24.99 annually.


What happened to Sunbird in 2023

Sunbird's return follows a security incident that brought its earlier service offline in November 2023.

The issue became widely known after Nothing announced Nothing Chats, an Android application that used Sunbird's technology to provide iMessage functionality on the Nothing Phone (2). Users were required to provide their Apple ID credentials to connect the service to iMessage.

Security researchers then examined the application and identified several problems with how the service handled authentication and user data.

One of the issues involved Apple ID credentials being transmitted to Sunbird's servers over HTTP. Because HTTP does not encrypt the connection, the credentials could potentially be intercepted while being transmitted.

Researchers also found that messages and other user data were being sent to and stored through Firebase without encryption. An investigation by 9to5Google found that researchers could use insecurely transmitted JSON Web Tokens to access Sunbird's Firebase database and view messages and files belonging to users.

The exposed information was not limited to text messages.

Researchers reported that the database contained media files including images, videos, PDFs and audio files. More than 630,000 media files were reportedly stored through Sunbird's Firebase infrastructure at the time. Researchers also found vCards containing information such as names, phone numbers and email addresses.

The problem also involved Sentry, an error-monitoring service. Researchers reported that messages and attachments were being sent to Sentry in plaintext, meaning information intended to be part of private conversations could appear in an error-reporting system.

These findings conflicted with Sunbird and Nothing's earlier statements about encryption. The companies had presented the service as providing end-to-end encryption, but researchers found that data could be accessed through the systems supporting the application.

Nothing removed Nothing Chats from the Google Play Store less than 24 hours after its launch. The company said it was delaying the application while working with Sunbird to address the security problems. Sunbird also paused its own service shortly afterward.


Sunbird says the new architecture handles data differently

For the relaunched application, Sunbird says it has changed how messages and authentication information are processed.

According to the company's security documentation, messages are encrypted on the user's phone before they leave the device. The data is then encrypted while travelling through Sunbird's infrastructure and remains encrypted on the user's device using AES-256. Sunbird also says its connections use certificate pinning.

The company says it does not retain copies of users' conversations on its own servers. Instead, message history remains on the sender's and recipient's devices.

Sunbird says messages passing through its infrastructure are released after delivery. It also says photos and videos sent through the service are automatically deleted from its systems, normally within 48 hours and no later than 72 hours.

The handling of Apple ID credentials has also been changed.

Users still need an Apple ID to connect Sunbird to iMessage. However, Sunbird says the Apple ID password is used only once to establish the session and is then destroyed. The company says it does not retain the password or an authentication token that could later be used to sign into the account.

Sunbird also says each user's iMessage connection operates inside its own private environment. According to the company, that environment is destroyed when the user disconnects or deletes their account.

For messages travelling to an iPhone, Sunbird says Apple's existing iMessage end-to-end encryption protects the final part of the communication. The company says it does not modify or weaken Apple's encryption.

These changes address several of the areas that created problems in the previous version. However, they remain claims made by the company and need to be considered separately from what independent researchers have been able to verify.


Company says independent testing found no critical vulnerabilities

Sunbird CEO Danny Mizrahi has said that an independent security firm tested the rebuilt application and found no critical vulnerabilities. The company is using this assessment as part of its security case for the relaunched service.

The distinction between an independent assessment being conducted and its findings being publicly available is important here.

A publicly available audit would allow security researchers and other experts to examine what was tested, which parts of the application were included, what methodology was used and what limitations applied to the assessment.

For now, Sunbird's public security information provides details about the architecture and the company's data-handling practices, but users should still distinguish between those statements and independent verification of the complete system.

That is particularly relevant because Sunbird's previous service also made strong security claims before researchers found problems with the implementation.

The current application may have been rebuilt to address those problems, but continued independent testing would provide a stronger way to determine whether the new security controls work as intended.


Sunbird adds an AI assistant

Security is not the only area Sunbird is changing with the relaunch.

The company is preparing an AI assistant called Sunbird Intelligence, which is expected to arrive later in 2026. Sunbird says the AI will run directly on the user's phone rather than sending conversations to a remote service for processing.

One planned feature, called "Catch Me Up," is designed to summarise conversations that users have missed. The company also plans features that can draft replies and suggest actions based on conversations.

Sunbird says its AI system will eventually be able to perform tasks such as moving conversations between inbox categories, archiving chats and drafting or sending replies.

The planned AI features introduce another privacy consideration because the assistant would need to process the content of users' conversations to provide summaries and generate replies.

Sunbird's decision to run the AI on the device is therefore relevant to its privacy claims. However, the actual privacy protections will depend on how the system is implemented, what information it can access and whether any conversation data leaves the device when the feature is used.


RCS has also changed the reason for using Sunbird

The messaging market has changed since Sunbird's first attempt to bring iMessage to Android.

Apple introduced support for RCS with iOS 18, giving Android-to-iPhone conversations access to features such as higher-quality media, read receipts and typing indicators when RCS is supported.

This reduces some of the practical differences that previously existed between Android and iPhone messaging.

Sunbird is therefore returning to a market where Android users already have a better cross-platform messaging experience than they did in 2023. The main distinction Sunbird offers is continued access to Apple's iMessage system and the blue-bubble experience.

There are also technical differences. Sunbird's iMessage service does not register a user's Android phone number with iMessage. According to MacRumors, users appear to iPhone contacts through their email address when using Sunbird.

This means the company's proposition has changed from simply providing Android users with features that were missing from SMS-based conversations. It is now combining iMessage access with a broader messaging application that brings several services together.


Sunbird now has to prove its security claims

Sunbird's new application contains several changes compared with the service that was paused in 2023.

The company says messages are encrypted on the device and during transmission, Apple ID passwords are used once and destroyed, media is automatically deleted from its infrastructure, and conversations are not permanently stored on its servers.

These changes address some of the security problems researchers identified in the previous implementation.

However, the history of the service makes independent verification particularly important. In 2023, researchers were able to demonstrate that sensitive information could be accessed through Sunbird's infrastructure despite the company's previous claims about encryption.

Sunbird now has another opportunity to establish whether its redesigned architecture can provide the privacy and security protections it promises.

More than 181,000 people signed up during the early-access period, showing that there is still interest in using iMessage from Android. But with RCS now supported on both major mobile platforms and with the security problems of the previous Sunbird implementation still part of the company's history, the new application's long-term success will depend heavily on whether its security controls withstand continued independent testing.

For Sunbird, bringing back the blue bubble is only one part of the challenge. The larger test is whether users can trust the infrastructure carrying their messages this time.

Researchers Disclose Patched Flaw in Docker AI Assistant that Enabled Code Execution


Researchers have disclosed details of a previously fixed security flaw in Ask Gordon, an artificial intelligence assistant integrated into Docker Desktop and the Docker command-line interface, that could have been exploited to execute code and steal sensitive data. The vulnerability, dubbed DockerDash by cybersecurity firm Noma Labs, was patched by Docker in November 2025 with the release of version 4.50.0. 

“In DockerDash, a single malicious metadata label in a Docker image can be used to compromise your Docker environment through a simple three-stage attack,” said Sasi Levi, security research lead at Noma Labs, in a report shared with The Hacker News. “Every stage happens with zero validation, taking advantage of current agents and MCP Gateway architecture.” 

According to the researchers, the flaw allowed Ask Gordon to treat unverified container metadata as executable instructions. When combined with Docker’s Model Context Protocol gateway, this behavior could lead to remote code execution on cloud and command-line systems, or data exfiltration on desktop installations. 

The issue stems from what Noma described as a breakdown in contextual trust. Ask Gordon reads metadata from Docker images, including LABEL fields, without distinguishing between descriptive information and embedded instructions. These instructions can then be forwarded to the MCP Gateway, which executes them using trusted tools without additional checks. “MCP Gateway cannot distinguish between informational metadata and a pre-authorized, runnable internal instruction,” Levi said. 

“By embedding malicious instructions in these metadata fields, an attacker can hijack the AI’s reasoning process.” In a hypothetical attack, a malicious actor could publish a Docker image containing weaponized metadata labels. When a user queries Ask Gordon about the image, the assistant parses the labels, forwards them to the MCP Gateway, and triggers tool execution with the user’s Docker privileges.  
Researchers said the same weakness could be used for data exfiltration on Docker Desktop, allowing attackers to gather details about installed tools, container configurations, mounted directories, and network setups, despite the assistant’s read-only permissions. Docker version 4.50.0 also addressed a separate prompt injection flaw previously identified by Pillar Security, which could have enabled attackers to manipulate Docker Hub metadata to extract sensitive information. 

“The DockerDash vulnerability underscores the need to treat AI supply chain risk as a current core threat,” Levi said. “Trusted input sources can be used to hide malicious payloads that manipulate an AI’s execution path.”

IDESaster Report: Severe AI Bugs Found in AI Agents Can Lead to Data Theft and Exploit


Using AI agents for data exfiltrating and RCE

A six-month research into AI-based development tools has disclosed over thirty security bugs that allow remote code execution (RCE) and data exfiltration. The findings by IDEsaster research revealed how AI agents deployed in IDEs like Visual Studio Code, Zed, JetBrains products and various commercial assistants can be tricked into leaking sensitive data or launching hacker-controlled code. 

The research reports that 100% of tested AI IDEs and coding agents were vulnerable. Impacted products include GitHub, Windsurf, Copilot, Cursor, Kiro.dev, Zed.dev, Roo Code, Junie, Cline, Gemini CLI, and Claude Code. At least twenty-four assigned CVEs and additional AWS advisories were also included. 

AI assistants exploitation 

The main problem comes from the way AI agents interact with IDE features. Autonomous components that could read, edit, and create files were never intended for these editors. Once-harmless features turned become attack surfaces when AI agents acquired these skills. In their threat model, all AI IDEs essentially disregard the base software. Since these features have been around for years, they consider them to be naturally safe. 

Attack tactic 

However, the same functionalities can be weaponized into RCE primitives and data exfiltration once autonomous AI bots are included. The research reported that this is an IDE-agnostic attack chain. 

It begins with context hacking via prompt-injection. Covert instructions can be deployed in file names, rule files, READMEs, and outputs from malicious MCP servers. When an agent reads the context, the tool can be redirected to run authorized actions that activate malicious behaviours in the core IDE. The last stage exploits built-in features to steal data or run hacker code in AI IDEs sharing core software layers.

Examples

Writing a JSON file that references a remote schema is one example. Sensitive information gathered earlier in the chain is among the parameters inserted by the agent that are leaked when the IDE automatically retrieves that schema. This behavior was seen in Zed, JetBrains IDEs, and Visual Studio Code. The outbound request was not suppressed by developer safeguards like diff previews.  

Another case study uses altered IDE settings to show complete remote code execution. An attacker can make the IDE execute arbitrary code as soon as a relevant file type is opened or created by updating an executable file that is already in the workspace and then changing configuration fields like php.validate.executablePath. Similar exposure is demonstrated by JetBrains utilities via workspace metadata.

According to the IDEsaster report, “It’s impossible to entirely prevent this vulnerability class short-term, as IDEs were not initially built following the Secure for AI principle. However, these measures can be taken to reduce risk from both a user perspective and a maintainer perspective.”


Amazon’s Coding Tool Hacked — Experts Warn of Bigger Risks

 



A contemporary cyber incident involving Amazon’s AI-powered coding assistant, Amazon Q, has raised serious concerns about the safety of developer tools and the risks of software supply chain attacks.

The issue came to light after a hacker managed to insert harmful code into the Visual Studio Code (VS Code) extension used by developers to access Amazon Q. This tampered version of the tool was distributed as an official update on July 17 — potentially reaching thousands of users before it was caught.

According to media reports, the attacker submitted a code change request to the public code repository on GitHub using an unverified account. Somehow, the attacker gained elevated access and was able to add commands that could instruct the AI assistant to delete files and cloud resources — essentially behaving like a system cleaner with dangerous privileges.

The hacker later told reporters that the goal wasn’t to cause damage but to make a point about weak security practices in AI tools. They described their action as a protest against what they called Amazon’s “AI security theatre.”


Amazon’s response and the fix

Amazon acted smartly to address the breach. The company confirmed that the issue was tied to a known vulnerability in two open-source repositories, which have now been secured. The corrupted version, 1.84.0, has been replaced with version 1.85, which includes the necessary security fixes. Amazon stated that no customer data or systems were harmed.


Bigger questions about AI security

This incident highlights a growing problem: the security of AI-based developer tools. Experts warn that when AI systems like code assistants are compromised, they can be used to inject harmful code into software projects or expose users to unseen risks.

Cybersecurity professionals say the situation also exposes gaps in how open-source contributions are reviewed and approved. Without strict checks in place, bad actors can take advantage of weak points in the software release process.


What needs to change?

Security analysts are calling for stronger DevSecOps practices — a development approach that combines software engineering, cybersecurity, and operations. This includes:

• Verifying all updates through secure hash checks,

• Monitoring tools for unusual behaviour,

• Limiting system access permissions and

• Ensuring quick communication with users during incidents.

They also stress the need for AI-specific threat models, especially as AI agents begin to take on more powerful system-level tasks.

The breach is a wake-up call for companies using or building AI tools. As more businesses rely on intelligent systems to write, test, or deploy code, ensuring these tools are secure from the inside out is no longer optional, it’s essential.

Personal AI Agents Could Become Digital Advocates in an AI-Dominated World

 

As generative AI agents proliferate, a new concept is gaining traction: AI entities that act as loyal digital advocates, protecting individuals from overwhelming technological complexity, misinformation, and data exploitation. Experts suggest these personal AI companions could function similarly to service animals—trained not just to assist, but to guard user interests in an AI-saturated world. From scam detection to helping navigate automated marketing and opaque algorithms, these agents would act as user-first shields. 

At a recent Imagination in Action panel, Consumer Reports’ Ginny Fahs explained, “As companies embed AI deeper into commerce, it becomes harder for consumers to identify fair offers or make informed decisions. An AI that prioritizes users’ interests can build trust and help transition toward a more transparent digital economy.” The idea is rooted in giving users agency and control in a system where most AI is built to serve businesses. Panelists—including experts like Dazza Greenwood, Amir Sarhangi, and Tobin South—discussed how loyal, trustworthy AI advocates could reshape personal data rights, online trust, and legal accountability. 

Greenwood drew parallels to early internet-era reforms such as e-signatures and automated contracts, suggesting a similar legal evolution is needed now to govern AI agents. South added that AI agents must be “loyal by design,” ensuring they act within legal frameworks and always prioritize the user. Sarhangi introduced the concept of “Know Your Agent” (KYA), which promotes transparency by tracking the digital footprint of an AI. 

With unique agent wallets and activity histories, bad actors could be identified and held accountable. Fahs described a tool called “Permission Slip,” which automates user requests like data deletion. This form of AI advocacy predates current generative models but shows how user-authorized agents could manage privacy at scale. Agents could also learn from collective behavior. For instance, an AI noting a negative review of a product could share that experience with other agents, building an automated form of word-of-mouth. 

This concept, said panel moderator Sandy Pentland, mirrors how Consumer Reports aggregates user feedback to identify reliable products. South emphasized that cryptographic tools could ensure safe data-sharing without blindly trusting tech giants. He also referenced NANDA, a decentralized protocol from MIT that aims to enable trustworthy AI infrastructure. Still, implementing AI agents raises usability questions. “We want agents to understand nuanced permissions without constantly asking users to approve every action,” Fahs said. 

Getting this right will be crucial to user adoption. Pentland noted that current AI models struggle to align with individual preferences. “An effective agent must represent you—not a demographic group, but your unique values,” he said. Greenwood believes that’s now possible: “We finally have the tools to build AI agents with fiduciary responsibilities.” In closing, South stressed that the real bottleneck isn’t AI capability but structuring and contextualizing information properly. “If you want AI to truly act on your behalf, we must design systems that help it understand you.” 

As AI becomes deeply embedded in daily life, building personalized, privacy-conscious agents may be the key to ensuring technology serves people—not the other way around.

How Reachability Analysis Is Streamlining Security for Developers

 




Over the past few years, AI assistants have made coding easier for developers in that one is able to quickly develop and push code over to GitHub, among others. But with so much automation going on, the risk of coding vulnerabilities has also increased. The vast majority of those generated codes have security flaws. What has befallen the application security teams is a lot of vulnerability reports pouring in. But lately, Snyk has found that 31% of these vulnerability reports are completely false positives added to the burden of security teams.

In such cases, many teams tend to use a method called reachability analysis, which usually helps the security expert screen out noise and work only with the vulnerabilities that might be exploited during an attack-upon only accessible code during said attack. Since only 10% to 20% of the imported code is even used by any application on average, this approach cuts the number of reported vulnerabilities that developers have to fix in half. Joseph Hejderup, technical staff member at Endor Labs, demonstrated this approach during the SOSS Community Day Europe 2024 and talked about how it makes vulnerability reports more actionable.


False Positive Overload

The biggest problem of application security is false positives. The sooner security teams can ship out more code, the larger their impact will be as your security tool begins to flag issues that are not actually a risk. According to Snyk, 61% of the developers believe that the enhancement of false positives is due to automation. To the eyes of the security teams, sorting hundreds or thousands reported vulnerabilities in numerous projects becomes a daunting task.

According to Randall Degges, head of developer relations at Snyk, reachability analysis helps by narrowing down exactly which vulnerabilities are really dangerous. This calms the security teams, since they can now focus on issues being actively executed in the code. Filtering out the kind of vulnerabilities that attackers cannot reach makes companies remediate by as much as 60%. And as OX Security research put it, in some cases, teams even reduced the workload by nearly 99.5%, making improvements to the developers.


Reducing developer friction

It's not just about workload reduction, but rather reporting fewer, more accurate vulnerabilities back to developers, says Katie Teitler-Santullo, a cybersecurity strategist at OX Security. "Tools that focus on real risks over bombarding developers with false alerts improve collaboration and efficiency," she says.

The hardest part is to eliminate the noise that security tools produce, keeping the developers in the same pace with the growth of development while still having a secure solution. Focusing on reachability ensures that the reported vulnerabilities are really relevant to the code being worked on, allowing developers to tackle key issues without fear of information paralysis.


Two Approaches to Reachability Analysis

There are two primary ways of reachability analysis. The first of these is static code analysis-in the process, the code itself is analysed and a graph of function calls is constructed to determine whether vulnerable code can be executed. This method works but is not failsafe as some of the functions may only be called under specific conditions.

The second approach involves instrumenting the application to track code execution during runtime. This really gives a live snapshot of which parts are really being used, so you will be able to immediately know if the identified vulnerability is something that poses an actual threat.

While the current reachability analysis tools mainly focus on whether code is being executed, the future of this technology involves determining if vulnerable code is indeed exploitable. According to Hejderup, the next step in reaching that milestone of making security testing even more effective would be the combination of reachability with exploitability analysis.

Finally, reachability analysis offers an effective solution to the problem of vulnerability overload. This is because it allows security teams to remove extraneous reports and focus only on reachable, exploitable code. This approach reduces workloads and generates better collaboration between security teams and development teams. As companies adopt this way of doing things, the future of application security testing will be more complex, such that only the most crucial vulnerabilities are flagged and then fixed.

Reachability analysis isn't going to be a silver bullet, perhaps, but it is going to be a pretty useful tool in an era where code is being developed and deployed faster than ever-and the risks of ignorance on security have never been higher.


Emailing in Different Languages Just Got Easier— This AI Will Amaze You


 


Proton, a company known for its commitment to privacy, has announced a paradigm altering update to its AI-powered email assistant, Proton Scribe. The tool, which helps users draft and proofread emails, is now available in eight additional languages: French, German, Spanish, Italian, Portuguese, Russian, Chinese, and Japanese. This expansion enables users to write emails in languages they may not be proficient in, ensuring that their communications remain accurate and secure. Proton Scribe is particularly designed for those who prioritise privacy, offering a solution that keeps their sensitive information confidential.

What sets Proton Scribe apart from other AI services is its focus on privacy. Unlike many AI tools that process data on external servers, Proton Scribe can operate locally on a user’s device. This means that the data never leaves the user's control, offering an added layer of security. For users who prefer not to run the service locally, Proton provides a no-logs server option, which also ensures that no data is stored or shared. Moreover, users have the flexibility to disable Proton Scribe entirely if they choose. This approach aligns with Proton’s broader mission of enabling productivity without compromising privacy.

The introduction of these new languages follows overwhelming demand from Proton’s user base. Initially launched for business users, Proton Scribe quickly gained traction among consumers seeking a private alternative to conventional AI tools. By integrating Proton Scribe directly into Proton Mail, users can now manage their email communications securely without needing to rely on third-party services. Proton has also expanded access to Scribe, making it available to subscribers of the Proton Family and Proton Duo plans, in addition to Proton Mail Business users who can add it on as a feature.

Proton’s commitment to privacy is further emphasised by its use of zero-access encryption. This technology ensures that Proton itself has no access to the data users input into Proton Scribe. Unlike other AI tools that might be trained using data from user interactions, Proton Scribe operates independently of user data. This means that no information typed into the assistant is retained or shared with third parties, providing users with peace of mind when managing sensitive communications.

Eamonn Maguire, head of machine learning at Proton, underlined the company's dedication to privacy-first solutions, stating that the demand for a secure AI tool was a driving force behind the expansion of Proton Scribe. He emphasised that Proton’s goal is to provide tools that enable users to maintain both productivity and privacy. With the expansion of Proton Scribe’s language capabilities and its availability across more subscription plans, Proton is making it easier for a broader audience to access secure AI tools directly within their inboxes.

Proton continues to set itself apart in the crowded field of AI-driven services by prioritising user privacy at every step. For those interested in learning more about Proton Scribe and its features, Proton has provided additional details in their official blog announcement.


Truecaller Introduces AI Voice Feature for Personalized Call Responses

 

The Caller ID company Truecaller will now allow users to create an AI version of their voice to answer calls. Truecaller, known for identifying and blocking spam calls, is introducing a new feature for users with access to its AI Assistant. By partnering with Microsoft’s Azure AI Speech, Truecaller enables users to record their voice, which the AI will then learn from to create a synthetic version.

“This groundbreaking capability not only adds a touch of familiarity and comfort for the users but also showcases the power of AI in transforming the way we interact with our digital assistants,” says Raphael Mimoun, Truecaller’s product director and general manager, in a blog post.

Truecaller’s AI Assistant screens incoming calls and informs users of the caller's reason for calling. Customers can see this information and decide whether to answer the call themselves or have the AI Assistant respond. This feature, first introduced in 2022, is currently available only in select countries.

Previously, users could choose from a set of preset voices to represent them. Now, allowing users to record their own voices enhances the personalization of the service. During the Build conference, Azure AI Speech introduced a personal voice feature that enables recording and replicating voices. However, Microsoft notes in a blog post that this feature is available on a limited basis and is intended for specific use cases like voice assistants.

Microsoft automatically adds watermarks to voices generated by Azure AI Speech’s personal voice and has released a code of conduct that requires users to obtain full consent from those being recorded, prohibiting impersonation.

It remains to be seen how well the personal voice feature will perform compared to a user’s own voicemail message.

Microsoft Copilot: A Visual Revolution in AI Image Editing

 

In a significant and forward-thinking development, Microsoft has recently upgraded its AI-powered coding assistant, Copilot, introducing a groundbreaking feature that extends its capabilities into the realm of AI image editing. This not only marks a substantial expansion of Copilot's functionalities but also brings about a visual overhaul to its interface, signifying a noteworthy stride in the convergence of artificial intelligence and creative processes. 

Microsoft Copilot initially gained prominence for its role in assisting developers with code suggestions. However, it has now transcended its traditional coding domain, venturing into the arena of image editing. Leveraging advanced machine learning algorithms, Copilot can intelligently understand and interpret user inputs, providing real-time suggestions for image editing. This fusion of coding assistance and visual creativity not only showcases the versatility of AI technologies but also points towards an era where these technologies seamlessly integrate into various aspects of digital workflows. 

Accompanying the introduction of AI image editing, Microsoft Copilot's user interface has undergone a substantial visual overhaul. The interface seamlessly integrates both coding and image editing functionalities, offering users a unified and intuitive experience. This revamped design is intended to streamline workflows, allowing users to transition seamlessly between coding tasks and creative endeavours without encountering friction in their digital workspaces. 

The integration of AI image editing within Microsoft Copilot holds the potential to revolutionize the collaborative efforts of developers and designers. With a single tool now offering both coding assistance and visual creativity, there is an opportunity for increased synergy between these traditionally distinct roles. This streamlined workflow could result in more efficient project development, ultimately reducing the gap between the ideation and execution phases of digital projects. 

Furthermore, Microsoft Copilot's foray into image editing emphasizes the growing influence of AI in creative processes. By harnessing machine learning capabilities, Copilot can analyze image contexts and user preferences, providing relevant and context-aware suggestions. This not only accelerates the image editing process but also introduces an element of creativity and inspiration driven by AI algorithms. 

In the ever-evolving landscape of technology, the upgrade to Microsoft Copilot with AI image editing capabilities signifies a significant step forward. As the boundaries between coding and creative tasks blur, this development showcases the transformative potential of artificial intelligence in shaping the future of digital workspaces. Microsoft Copilot stands as a testament to Microsoft's commitment to innovation, highlighting the seamless integration of technology into diverse aspects of digital work.

How is Brave’s ‘Leo’ a Better Generative AI Option?


Brave Browser 

Brave is a Chromium-based browser, running on Brave search engine, that restricted tracking for personal ads. 

Brave’s new product – Leo – is a generative AI assistant, on top of Anthropic's Claude and Meta's Llama 2. Apparently, Leo promotes user-privacy as its main feature. 

Unlike any other generative AI-chatbots, like ChatGPT, Leo offers much better privacy to its users. The AI assistant does not store any of the user’s chat history, neither does it use the user’s data for training purposes. 

Moreover, a user does not need to make an account in order to access Leo. Also, if a user is leveraging its premium experience, Brave will not link their accounts to the data they may have used. / Leo chatbot has been put to test for three months now. However, Brave is now making Leo available to all users of the most recent 1.60 desktop browser version. As soon as Brave rolls it out to you, you ought to see the Leo emblem on the sidebar of the browser. In the upcoming months, Leo support will be added to the Brave apps for Android and iPhone.

Privacy with Leo AI Assistant 

User privacy has remained a major concern when it comes to ChatGPT and Google Bard or any AI product. 

A better option in AI chatbots, along with their innovative features, will ultimately be the one which provides better privacy to its users. Leo, in this case, has a potential to bring a revolution, taking into account that Brave promotes the chatbot’s “unparalleled privacy” feature straight away. 

Since users do not require any account to access Leo, they need not verify their emails or phones numbers as well. This way, the user’s contact information is rather secure. 

Moreover, if the user chooses to use $15/month Leo Premium, they receive tokens that are not linked to their accounts. However, Brave notes that, this way, “ you can never connect your purchase details with your usage of the product, an extra step that ensures your activity is private to you and only you.”

The company says, “the email you used to create your account is unlinkable to your day-to-day use of Leo, making this a uniquely private credentialing experience.”

Brave further notes that all Leo requests will be sent via an anonymous server, meaning that Leo traffic cannot be connected to user’s IP addresses. 

More significantly, Brave will no longer host Leo's conversations. As soon as they are formed, they will be disposed of instantly. Leo will also not learn from those conversations. Moreover, Brave will not gather any personal identifiers, such as your IP address. Leo will not gather user data, nor will any other third-party model suppliers. Considering that Leo is based on two language models, this is significant.  

Microsoft Copilot: New AI Chatbot can Attend Meetings for Users


A ChatGPT-style AI chatbot, developed by Microsoft will now help online users summarize their Teams meetings by drafting emails, and creating Word documents, spreadsheet graphs, and PowerPoint presentations in very little time. 

Microsoft introduced Copilot – its workplace assistant – earlier this year, labelling the product as a “copilot for work.”

Copilot which will be made available for the users from November 1, will be integrated to the subscribers of Microsoft 365 apps such as Word, Excel, Teams and PowerPoint – with a subscription worth $30 per user/month.

Additionally, as part of the new service, employees at companies who use Microsoft's Copilot could theoretically send their AI helpers to meetings in their place, allowing them to miss or double-book appointments and focus on other tasks.

‘Busywork That Bogs Us Down’

With businesses including General Motors, KPMG, and Goodyear, Microsoft has been testing Copilot, which assists users with tasks like email writing and coding. Early feedback from those companies has revealed that it is used to swiftly respond to emails and inquire about meetings. 

According to Jared Spataro, corporate vice president of modern work and business applications at Microsoft, “[Copilot] combines the power of large language models (LLMs) with your data…to turn your words into the most powerful productivity tool on the planet,” he said in a March blog post. 

Spataro promised that the technology would “lighten the load” for online users, stating that for many white-collar workers, “80% of our time is consumed with busywork that bogs us down.”

For many office workers, this so-called "busywork" includes attending meetings. According to a recent British study, office workers waste 213 hours annually, or 27 full working days, in meetings where the agenda could have been communicated by email.

Companies like Shopify are deliberately putting a stop to pointless meetings. When the e-commerce giant introduced an internal "cost calculator" for staff meetings, it made headlines during the summer. According to corporate leadership, each 30-minute meeting costs the company between $700 and $1,600.

Copilot will now help in reducing this expense. The AI assistant's services include the ability to "follow" meetings and produce a transcript, summary, and notes once they are over.

Microsoft, in July, noted that “the next wave of generative AI for Teams,” which included incorporating Copilot further into Teams calls and meetings.

“You can also ask Copilot to draft notes for you during the call and highlight key points, such as names, dates, numbers, and tasks using natural language commands[…]You can quickly synthesize key information from your chat threads—allowing you to ask specific questions (or use one of the suggested prompts) to help get caught up on the conversation so far, organize key discussion points, and summarize information relevant to you,” the company noted.

In regard to the same, Spataro states that “Every meeting is a productive meeting with Copilot in Teams[…]It can summarize key discussion points—including who said what and where people are aligned and where they disagree—and suggest action items, all in real-time during a meeting.

However, Microsoft is not the only tech giant working on making meeting tolerant, as Zoom and Google have also introduced AI-powered chatbots for the online workforce that can attend meetings on behalf of the user, and present its conclusions during the get-together.