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Will Voice AI be useful in the Real Estate industry?

Introduction

The rapid advancement of AI has revolutionized various industries, offering innovative solutions and streamlining processes. This transformative technology has significantly impacted voice technology, opening up new possibilities and applications.

Regarding Real Estate, many agents spend their weekends and evenings working, which is why their phones can go unanswered during those times, agents are busy. This is an obvious gap where AI could help Real Estate agents qualify buyers + help sellers fill the top of the funnel without frustrating the customer.

Artificial Intelligence (AI)

Artificial Intelligence (AI) refers to the simulation of human intelligence processes by machines, including learning, reasoning, and self-correction. It plays a pivotal role in automating tasks, analyzing data, and providing insights for informed decision-making across diverse sectors.

Voice Technology

Voice technology encompasses a wide range of applications, from virtual assistants like Siri and Alexa to voice-activated devices and speech recognition software. Its seamless integration into daily life has transformed the way individuals interact with technology.

The Connection between AI and Voice Technology

AI serves as the driving force behind the evolution of voice technology, enhancing its capabilities and expanding its potential in various domains such as customer service, productivity enhancement, and real estate operations. The synergy between AI and voice technology continues to redefine user experiences and operational efficiency across industries.

By understanding how AI and voice technology work together, we can gain valuable insights into their combined ability to shape the future landscape of various sectors.

The Role of AI in Shaping the Future of Voice Technology

Voice AI, also known as AI voice technology, is changing the way we use technology and is becoming more and more important in our daily lives. This section will look at how Voice AI has developed and why it’s so significant, as well as its effect on customer experience and productivity.

Exploring the development and significance of Voice AI

Voice AI has come a long way since it was first introduced. It started with basic voice recognition systems that had difficulty understanding human speech accurately, but now we have advanced algorithms that can process natural language with great accuracy. Voice AI has also become more accessible to the general public, with popular voice assistants like Siri, Alexa, and Google Assistant being widely used.

The significance of Voice AI lies in its ability to offer a more natural and easy way of interacting with devices and services. Instead of typing on a keyboard or tapping on a screen, users can simply speak commands or ask questions to get what they need. This seamless interaction makes things more convenient for everyone.

Enhancing Customer Experience with AI Receptionists

One area where Voice AI is making a big difference is customer service. Many businesses are using AI receptionists powered by Voice AI technology to handle customer inquiries, provide information, and even assist with basic transactions. These virtual receptionists are available 24/7, respond instantly, and offer consistent service.

By using Voice AI, businesses can improve their customer experience by providing personalized interactions that feel like talking to a real person. For example, an AI receptionist can greet customers by name, answer common questions, give product suggestions based on preferences, and even schedule appointments. This level of personalization not only makes customers happier but also helps businesses save time and money by reducing the need for human workers in repetitive tasks.

Boosting Productivity with AI Assistants

Voice AI isn’t just useful for customer service – it can also help us be more productive. AI assistants powered by Voice AI technology can handle many different tasks, such as setting reminders, managing schedules, doing research, and analyzing data. These assistants work like virtual personal assistants, making it easier for us to stay organized, automate routine tasks, and get information without using our hands.

For professionals in various industries, like real estate agents, having an AI assistant can be a game-changer. They can use voice commands to quickly find property information, schedule appointments, communicate with clients, and manage their daily tasks more efficiently. With the ability to do multiple things at once and deal with complex questions, AI assistants let professionals focus on important work that requires human skills.

Voice AI is changing the future of voice technology by improving customer experience with AI receptionists and boosting productivity with AI assistants. As this technology gets better over time, we’ll see even more creative uses that will transform how we use voice-controlled devices and services.

AI’s Impact on the Real Estate Industry

AI has made significant strides in various industries, and the real estate sector is no exception. With the integration of AI technology, real estate organizations can streamline processes, enhance productivity, and improve customer experiences. Here are some key points to consider regarding AI’s impact on the real estate industry:

Analyzing the Use Cases of AI in Real Estate

AI offers numerous applications in real estate, revolutionizing the way properties are bought, sold, and managed. For instance:

  • Chatbots powered by AI can assist potential buyers in answering their queries and providing relevant property information.
  • AI-powered virtual tour platforms enable potential buyers to explore properties remotely, saving time and effort.
  • Predictive analytics algorithms can analyze market trends and predict property values, helping investors make informed decisions.

Predictions for the Future: AI’s Dominance in the Industry by 2024

Experts predict a significant surge in the reliance on AI technology within the real estate industry. By 2024:

  • AI is expected to play a crucial role in automating repetitive tasks such as paperwork, data entry, and lead generation.
  • Virtual assistants powered by AI will become commonplace, assisting real estate agents with scheduling appointments, managing client databases, and providing personalized recommendations.

Highlighting Keller Williams’ Innovation in the Form of an AI Virtual Assistant

Keller Williams, a prominent real estate company, has embraced AI technology to enhance its operations. Their AI virtual assistant named Kelle assists agents with various tasks such as market analysis, lead generation, and transaction management. Kelle leverages machine learning algorithms to provide tailored insights to agents, helping them make data-driven decisions.

AI’s impact on the real estate industry is undeniable. By leveraging AI for real estate purposes, organizations can improve efficiency, deliver exceptional customer experiences, and stay ahead of the competition.

Overcoming Challenges: The Path Ahead for Voice AI

Exploring the Potential and Limitations of Voice Technology in Real Estate

In the world of real estate, AI-powered voice technology has great potential to make processes more efficient and improve customer experiences. Real estate companies can use AI assistants to automate repetitive tasks, offer personalized property suggestions, and provide round-the-clock customer support. Voice AI can completely change how people search for properties by allowing them to have natural conversations, making it simpler for clients to find their dream homes.

However, we must also recognize the limitations of voice technology in real estate. Even with advancements in understanding human language and complex real estate queries, there are still challenges. While AI assistants can handle basic questions effectively, they may struggle with more detailed discussions or negotiations.

Addressing Controversies around AI-generated Vocals in the Music Industry

AI-generated vocals have both excited and caused controversy in the music industry. While AI technology makes it possible to create incredibly lifelike vocal performances, it also raises important questions about authenticity and artistic expression. Some artists see AI-generated vocals as a tool for exploring new creative possibilities, while others worry that it could diminish the value of human artistry. The debate over copyright surrounding AI-generated music is a significant aspect of this discussion.

In this ever-changing world of voice AI, overcoming these challenges will require careful thought and continuous innovation. Real estate companies need to understand the potential and limitations of voice technology while also considering ethical concerns. Likewise, the music industry is grappling with how to strike a balance between traditional artistry and technological progress. As both fields continue to develop, finding solutions to these challenges will be crucial in shaping the future of voice AI across various industries.

The Evolutionary Journey of AI Voice Assistants

Tracing the Advancements in Conversational AI from Chatbots to Voice Assistants like Siri and Alexa

The evolution of conversational AI has reached significant milestones, starting with the rise of AI-powered chatbots that laid the foundation for more sophisticated voice assistants. Chatbots initially provided basic automated responses to user queries, but their capabilities expanded rapidly with advancements in natural language processing and machine learning.

1. The Rise of Chatbots

  • Chatbots initially provided basic automated responses to user queries
  • Their capabilities expanded rapidly with advancements in natural language processing and machine learning

2. The Emergence of Advanced Language Models

Recent years have witnessed the emergence of advanced language models that have revolutionized voice AI. Models such as ChatGPT, Google Bard, and vimGPT have pushed the boundaries of conversational AI by enabling more human-like interactions and nuanced understanding of context.

This journey from rudimentary chatbots to highly advanced voice assistants highlights the remarkable progress in AI’s ability to understand and respond to human language, paving the way for a future where seamless human-machine communication becomes increasingly indistinguishable from human-human interaction.

Future Horizons: What Lies Ahead for AI In Real Estate

Examining Cutting-edge Research in the Field of Voice AI

Ishan Shah, a researcher at Carnegie Mellon University, has been making significant strides in the development of GPT-4V, an advanced version of the Generative Pre-trained Transformer (GPT) language model specifically tailored for voice applications in real estate. This cutting-edge research holds the potential to revolutionize how voice AI is utilized within the real estate industry. GPT-4V could enable more natural and contextually relevant interactions between AI systems and real estate clients, ultimately enhancing the overall customer experience.

Insights from Real Estate Industry Experts on the Future Trajectory of Voice AI

Real estate industry experts are increasingly recognizing the transformative potential of voice AI in shaping the future of their sector. With a focus on enhancing customer engagement and streamlining operations, voice AI is poised to become an indispensable tool for real estate professionals.

Apple’s director of AI research Ruslan Salakhutdinov’s perspective

Apple’s director of AI research, Ruslan Salakhutdinov, has been vocal about the pivotal role that voice AI will play in redefining how real estate organizations interact with clients and manage their internal processes.

Through continued innovation and collaboration with industry leaders, voice AI is set to unlock new opportunities and efficiencies within the real estate landscape.

Conclusion

AI has emerged as a catalyst for innovation in voice technology across various sectors. From customer experience enhancement to boosting productivity, AI has played a significant role in shaping the future of voice technology. As we have explored in this article, AI receptionists and assistants have revolutionized industries by providing seamless interactions and personalized experiences.

In the real estate industry, AI has enabled numerous advancements and use cases. With AI virtual assistants, real estate organizations can automate tasks, provide 24/7 support, and streamline operations. Snapsonic AI is a solution that empowers real estate organizations with its cutting-edge technology and comprehensive features.

Looking ahead, the future trajectory of voice AI holds immense potential. Researchers like Ishan Shah at Carnegie Mellon University are pushing the boundaries with projects like GPT-4V. Real estate industry experts, including Apple’s director of AI research Ruslan Salakhutdinov, provide valuable insights into the evolving landscape of voice AI.

As we move forward, it is crucial to address challenges and controversies surrounding voice technology. While there are limitations to overcome, the generative AI boom continues to drive innovation. Voice assistants like Siri and Alexa have evolved from simple chatbots to sophisticated language models.

AI remains at the forefront of voice technology innovation. Its impact on industries such as real estate is undeniable. To leverage the benefits of AI-powered voice technology, readers are encouraged to explore solutions like Snapsonic AI – Your Voice in Real Estate — a powerful tool for real estate organizations seeking to optimize their operations and enhance customer experiences.

“The future is not just about web browsing AI assistants or open-source software—it’s about creating seamless user experiences through AI-powered voice helpers.” – VisualWebArena

By embracing AI and its capabilities, organizations can unlock new possibilities and stay ahead in an increasingly competitive market.

Book a meeting with Snapsonic and discover how we can transform how your real estate organization integrates AI to win new business today!

Ai Assistants, AI automation consulting, AI for Small Business, microsoft teams, privacy

Microsoft Teams Phone System, Direct Routing, and SBCs, a journey. (pt.3)

In the last post we did some preliminary investigation on Direct Routing and what part the SBC plays in Direct Routing. Today we will take a deeper dive into TLS and SIP Options.

TLS and SIP Options

In order for this connection to work, Microsoft expects TLS+SIP Options to signal their servers that your SBC is alive and vice-versa. For the purposes of this demonstration you can think of TLS as SSL for VoIP. I would need to install certificates per domain that were going to be signaling to Microsoft and then I would need to leverage the dispatcher module in Kamailio to send the SIP Options to the Microsoft SIP servers.

Installing TLS correctly would take some forethought. Working through the Microsoft multi-tenant scenario, was a bit of a beast. In order to serve multiple tenants (thinking ahead a bit here) with the same domain and certs we would need a wildcard certificate. The problem is, double wildcard certificates are not supported, for various security reasons. So, we would have to set up a workflow that used a “*.sbcgroup.mydomain.com” type of structure. We are going to use let’s encrypt certs for the test, just to see if this works. Initially I just created a cert for a single domain. Once that was up, I would return to the multi-tenant requirements. For now, running a single customer on one Digital Ocean droplet was not a huge concern, we can optimize as a next phase.

Tech Tip: Adding a certificate to a debian linux VM is widely documented, that said, using let’s encrypt’s certbot module makes it dead easy.

Kamailio Dispatcher Module

Once I had the machine up and resolving on a secure socket, we needed to ensure that the dispatcher in Kamailio was sending out the SIP Options. First we need to ensure the dispatcher module was loaded add then add entries to the dispatcher list. Nick has a great article on getting started with Kamailio dispatcher, so check that out if you want to learn more about it.

Once we had our Microsoft SIP Server records in Dispatcher, we could reload Kamailio and see what’s what!

sbc:~# kamcmd dispatcher.list | egrep “URI|FLAGS” allows us to see state Flags which means our system is Actively Probing and our config is correct. 

URI: sip:sip3.pstnhub.microsoft.com:5061;transport=tls
FLAGS: AP

URI: sip:sip2.pstnhub.microsoft.com:5061;transport=tls
FLAGS: AP

URI: sip:sip.pstnhub.microsoft.com:5061;transport=tls
FLAGS: AP

If you are seeing IP or another FLAG, your configuration is likely incorrect. See below for the flag states.

  • AP — Active Probing — Destination is responding to option pings & looks to be up.
  • IP — Inactive Probing — Destination is not responding to pings and might be unreachable. This could also mean the destination isn’t liking what you’re sending it and therefore is not responding. In many cases this is due to the improper configuration of TLS on your server.
  • DX — Destination is disabled (administratively down)
  • AX — Coming up, but has not yet satisfied the minimums to be considered up (ds_inactive_threshold)
  • TX — Looks like or is, down. Has stopped responding to pings but has not yet satisfied downstate failed ping count (ds_probing_threshold)

Now let’s take a look at the SBC in our Teams configuration…

Hey that looks positive! Much better than the inactive state that is was in before. It would be nice if Microsoft were to rate these as a percentage of usage versus efficiency.

Next week in our final post in this series, “Microsoft Teams Phone System, Direct Routing, and SBCs, a journey (pt.4)” – we will try some outbound calls and set up our systems for inbound calls.


We hope you found this article interesting, please leave a comment or text the number below and tell us what you think!

If you have any questions or comments or want your own SBC for Direct Routing, get in touch via erik@snapsonic.com or give us a call at 1.877.897.1952 (also textable).

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The future of #wfh & distance learning

AI, VR, AR, MR at work and school


These new technologies will play a material role in helping teams work together. Today, AI is playing an interesting role in conferencing and call center applications performing duties like transcription and providing sentiment analysis, but that is just the tip of the iceberg.

Stowe Boyd recently wrote a great article, “The Fall of The Silos, The Rise of Self-Organizing Teams”. In the article, he states “The 2020 workplace will be more productive and engaging for workers and employers thanks to new technology that enables better personalization and adaptation to change, according to a recent ADP report. ADP posits that: isolated, siloed approaches to getting work done will be supplanted by teamwork; that the work experience will be personalized through artificial intelligence and other technologies, which provide employees with a “have it your way” work experience; and businesses and teams will become more agile as they strive to keep pace with technology.”

I have found a few examples of commercial offerings that support at least the beginnings of what Stowe writes, out in the wild.

Testfire Labs, a small upstart in Edmonton has created Hendrix.ai, a service that offers AI-driven transcription services that anyone can invite to any calendar event.

Salesforce is also making use of AI in a new service that has been recently launched at Dreamforce 2019 called Einstein Voice Assistant, part of their Einstein Voice offering.

According to VentureBeat, Einstein Voice Assistant is more than just a glorified transcriber. Users can update Salesforce records and create tasks using natural language requests, or tap Einstein Vice Assistant to navigate through Einstein Analytics dashboards and surface metrics like open service cases and performance guidance. Plus, thanks to native integration with popular voice assistants like Google Assistant and Alexa, Einstein Voice Assistant can deliver a daily brief of “key priorities” like upcoming calendar appointments and team pipeline updates.

Dialpad has also rolled out “VoiceAI” providing transcriptions and sentiment analysis, mainly for contact center calls.

Cisco is empowering it’s WebEx Assistant with more capabilities via their acquisition of Accompany. Cisco described a scenario to show how AI and the smart use of data can help Webex improve on conference calls:

When an employee walks into a meeting room, she is automatically recognized by the system, which reads her calendar, spots a scheduled meeting and asks if she wants to join it. The worker says no, she needs to call someone else first and gives her colleague’s first name only. Webex guesses who she’s trying to call, using data and AI software to cut the number of options for whom to dial.

VR at work and in the classroom

You can be sure remote work will continue to evolve as VR (virtual reality) and AR (augmented reality) technology becomes more accessible and less cumbersome. AR and VR applications already enable team members to work alongside each other in the same coworking VR room but in fact, are separated by thousands of kilometers.

Dataview VR — The Glimpse Group

An early example of this is Dataview VR (video), and Social VR (video), products created by The Glimpse Group, which are very interesting preliminary steps towards an immersive virtual office experience.

Matt Mullenweg (Founder of Automattic), had an interesting chat with John Vechey of Pluto VR about how VR will become the conduit for virtual coworking. Here is the video promoting the alpha release of Pluto VR on Steam, a promising future indeed.

Immersed VR also recently released a VR Coworking application, which I will be checking out soon.

We at Immersed are announcing the newest addition to our multi-monitor VR app, Virtual Co-Working. Remote professionals can now work in a virtual coffee shop (and other virtual co-working spaces) with thousands of other remote workers all around the world!

Immersed — VR Coworking

If we are going to talk about VR (Or MR — Mixed Reality), we can’t exclude Microsoft and Hololens. Now 4 years old, Hololens is targeting business applications as a core focus of the offering. Last year they made a bold statement about fixing Video Conferencing and referenced Hololens. This year, they demonstrated Hololens 2 (MWC 2019) business applications such as mechanical repair, medical training, and digital media creation. The most compelling demonstration was on a holomeeting concept, where 2 participants we interacting with and discussing a 3D object, although this capability is not available yet.

Hololens 2 — holomeeting demo

Another interesting example of MR (Mixed Reality) at work that is available today is Help Lightning. Check out their intro video below where they show a remote field technician helping an onsite technician troubleshoot an installation, very interesting real-world application:

[vimeo 259194214 w=640 h=360]

MeetinVR gets a mention here, I could not find anything on their offer but I did sign up for their early access program.

We have a ways to go to where the VR experience feels natural in a virtual office and classroom setting. Headsets need to be much smaller, lighter and more akin to AR glasses versus the VR welding goggles we see today. I am sure we’ll get there.

Until then, we have plenty of remote work and work from home tools to draw from to get the job done, which are getting better each and every day.


Please share your thoughts with us. Is your company pursuing remote work? If you work in a distributed company now, what tools do you use today, are they working for you? How often do you use video/web conferencing as part of your daily routine? If you prefer sharing your comments or questions privately, feel free to send me a text message: (877) 897–1952 (powered by SignalWire)

None of the ideas expressed in this post are shared, supported, or endorsed in any manner by my employer.

AI Agency Solutions, AI Agents, Ai Assistants, AI Automation, AI Consultancy

WebRTC in 2017

The road to the promised land.

For more than 6 years, we have been working on and looking forward to a simpler way to build RTC (Real Time Communications) applications on the web. In order for this technology to truly show its value, the major browser vendors needed to show up.

Now, it’s a reality!

Screen Shot 2017-06-12 at 5.07.26 PM

macOS SierraLeft: Safari Preview 32 (Safari 11.0, WebKit 12604.1.23.0.4) using H.264  Right: Chrome Version 58.0.3029.110 (64-bit). https://webrtc.github.io/samples/ using H.264

Mobile, mobile, mobile.

Now that Apple has joined the party in earnest, does the technology have the coverage required in order for developers to make good use of WebRTC on mobile devices? Let’s find out.

Until now, in order for WebRTC to work on iOS, we were relegated to wrapping WebRTC code in Objective-C and Swift, in our native iOS apps. Basically, we had to take the Chrome code and build an app that was sent to the app store for approval and wait in line, like all the other chumps (yours truly included). Conversely, on Android we could run much of that same code from our desktop Chrome apps, on the Android device as well, within reason of course.

Now that Safari and Chrome are shipping compatible WebRTC on mobile, we get to reuse the same code, right!? Well, mostly, they are different code bases, after all.

A word about hardware acceleration.

If ubiquitous mobile video is to take off, the battery life of the device has to last more than the length of the 10 minute video call (ok, I am exaggerating a bit, but I think you get the point) and the performance needs to be at least adequate enough to distinguish facial features. My bar is set a little higher, baby steps for now.

Without h/w acceleration the CPU is likely working too hard to encode the local video and decode the inbound video + service the other processes required at the same time. That really means there needs to be hardware onboard the device dedicated to video coding. That in turn means H.264, since there are very few vendors that offer VP8 or VP9 h/w acceleration.

Question: Does this mean that mobile apps written with VP8 will not be able to deliver decent mobile video conferencing?

Answer: No, not at all, but they will likely not be as performant as those taking advantage of hardware acceleration.

Suffice to say that SVC (Scalable Video Coding) usage would be another reason why we need h/w acceleration, but that’s for another day.

Who’s using what?

The majority of desktop and mobile WebRTC apps written today, are using VP8 for video.

Since Apple and Microsoft both use H.264 and Google uses VP8 and H.264 (recently shipped Open H.264 – on the desktop and mobile). Also, many of the Enterprise RTC developers are already on that H.264 bandwagon.

Question: If Apple and Microsoft devices ship with H.264, what is the case with Google Chrome on desktops and android, are they preferencing VP8?

Answer: Chrome for desktop and android now have H.264 native. Many of the Android devices that ship today all have H.264 hardware acceleration onboard. In order to understand which units have H.264 and hardware acceleration, you can run use the Android APIs to pull a list of available codecs, but in the case of WebRTC, you will only get H.264 in Android WebRTC if there is a h/w encoder on the device.

Is H.264 the answer for WebRTC video?

Here is a recent test:
Host 1 – (before joining):
macOS Sierra, Macbook, Safari (Technology Preview 32)

Screen Shot 2017-06-13 at 1.17.11 PM

Host 2 (after joining):
Android 7, Samsung 7, Chrome 55

chrome-android

setRemoteDescription OperationError: Failed to set remote video description and params.     Likely because Safari is not seeing H.264 on Android.

Host 1 (after joining):

Screen Shot 2017-06-13 at 1.39.57 PM

According to the Chrome Status page, Chrome for Android should have H.264. So why is the session barfing when trying to set up video? The logs do not lie…

Safari – offer:
a=rtpmap:96 red/90000
a=rtpmap:98 ulpfec/90000
a=rtpmap:99 H264/90000

Chrome on android – answer:
a=rtpmap:96 red/90000
a=rtpmap:98 ulpfec/90000
a=rtpmap:97 rtx/90000

Err, huh? No H.264 in reply?
So, I updated to latest Chrome on android (58) and tried again…

Screen Shot 2017-06-13 at 5.26.44 PM
et voilà!!

Next topic, paying the man!

Shipping your product with H.264 enabled, means you may potentially need to deal with the MPEG-LA royalty police for H.264 royalties, but there are some grey areas.

In the case of Apple and Microsoft, where H.264 royalties are already being paid for by the parent vendor, the WebRTC developer is riding on the coattails of papa bear, at least in theory.

Cisco’s generous OpenH.264 offer means that those using this binary module, can do so at potentially no cost:

We will not pass on our MPEG-LA licensing costs for this module, and based on the current licensing environment, this will effectively make H.264 free for use on supported platforms.

Q: If I use the source code in my product, and then distribute that product on my own, will Cisco cover the MPEG LA licensing fees which I’d otherwise have to pay?

A: No. Cisco is only covering the licensing fees for its own binary module, and products or projects that utilize it must download it at the time the product or project is installed on the user’s computer or device. Cisco will not be liable for any licensing fees incurred by other parties.

That seems to mean (I am no lawyer) every developer shipping WebRTC apps supporting Open H.264 binary module, get a free ride. Those using some other binary, or shipping the above source code for that module, could be on the hook for those royalties. That said, since there are royalties being paid by parent vendors where devices are shipping H.264 anyways, developers may not get hassled regardless.

Summary:

So what did we learn here?

  • Apple has joined the party, now we have a full complement of browser vendors!
  • If you want to leverage WebRTC video to deliver a ubiquitous mobile and desktop experience for your users, you should likely consider including both H.264 and VP8.
  • VP8 is (still) free and powers most of the WebRTC video out there today.
  • You can make use of the Open H.264 project and get a free H.264 ride, albeit baseline AVC.
  • WebRTC on Android does not support software encoding of H.264, so unless there is local hardware acceleration, H.264 will not be in the offer.
  • H.264 is not fully enabled (or buggy) in Chrome 55 (I was using it on Samsung S7 Edge (Android 7), but it does work with Chrome 58.
  • WebRTC is not DOA!
  • SDP still sucks and ORTC can’t come soon enough!!

The W3C and IETF are also closing in on shipping WebRTC as a web standard, here’s a great update from Google on that as well. Latest W3C WebRTC editor’s draft, latest charter.

As a side note, it would be interesting to see something like this open sourced; VP8 / H.264 conversion without transcoding, if only to service the existing desktop apps currently running VP8 <-> mobile H.264. It would likely overwhelm the mobile device, but it would be cool if it worked!

Disclaimer: The views expressed by me are mine alone and do not necessarily represent the views or opinions of my employer.

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