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Hello everyone. Tal here. Today, I want to share some exciting updates from the recent Meta Connect 2024 event. While everybody talks about the new look of Mark Zuckerberg, he ...
Your AI Storyteller
Hello everyone. Tal here.
Today, I want to share some exciting updates from the recent Meta Connect 2024 event. While everybody talks about the new look of Mark Zuckerberg, he unveiled a range of groundbreaking products and features that are set to revolutionize the tech landscape.
Mark Zuckerberg kicked off the Meta Connect 2024 developer conference with a keynote that was nothing short of impressive.
The highlight of the event was the introduction of Meta's first "true AR" prototype glasses, named "Orion.
" These augmented-reality smart glasses are still in the prototype phase and not yet available for purchase, but they represent a significant leap forward in AR technology.
Unlike previous iterations, Orion integrates visuals directly into the lenses, making it Meta's first true AR glasses.
While they still have some way to go before they blend seamlessly like Meta's Ray-Ban smart glasses, they are already sleeker than the Snap Spectacles.
Zuckerberg also showcased new Meta AI features, limited-edition transparent Ray-Ban smart glasses, and the affordable Quest 3S headset, priced at 299 dollars.
The Orion glasses stole the show, with a sizzle reel featuring tech luminaries like Nvidia CEO Jensen Huang and Reddit CEO Steve Huffman praising the prototype.
Business Insider's chief correspondent, Peter Kafka, even mentioned he'd "buy them in a heartbeat.
" However, the Orion glasses are not yet ready for consumer release.
Zuckerberg mentioned that some external developers would get access to the current prototype, but the public will have to wait for the next version.
In the meantime, Meta is working on lowering the retail price and overcoming manufacturing challenges.
Zuckerberg's other announcements were more immediate.
He introduced limited-edition transparent frames for Meta's Ray-Ban glasses and a slew of new AI features.
Meta's AI, available through Instagram, Facebook, Messenger, and WhatsApp, is getting new celebrity voices for its chatbots and multi-modal voice and vision features to better compete with OpenAI's ChatGPT.
Celebrities like John Cena and Awkwafina are lending their voices to these new AI features, making interactions more engaging and personalized.
One of the most impressive demonstrations was the real-time translation feature of the Ray-Ban smart glasses.
Zuckerberg carried out a conversation in Spanish onstage with Brandon Moreno, with the glasses translating the conversation live.
This feature could be a game-changer for global communication, breaking down language barriers in real-time.
Meta's open-source AI model, Llama 3.
2, also got its moment in the spotlight.
While it won't be released in the European Union immediately, Zuckerberg assured that Meta is working on it.
The AI creator tools are expanding, with features like video dubbing in different languages and AI avatars that can answer questions about creative processes.
Zuckerberg also introduced the new Quest 3S mixed-reality headset, priced at 299 dollars.
This entry-level headset aims to make mixed-reality more accessible and includes features like improved pass-through abilities and photo-realistic spaces for virtual exploration.
The keynote was a chance for Zuckerberg to outline his vision of the future and Meta's role in shaping it.
Wall Street seemed impressed, with Meta's stock rising more than 2 percent as Zuckerberg exited the stage.
In conclusion, Meta Connect 2024 was a showcase of innovation and forward-thinking.
From the Orion AR glasses to the new AI features and the Quest 3S headset, Meta is pushing the boundaries of what's possible in technology.
And as always, let's make the world a better place, pixel by pixel.
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04:06
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Summurai
How AI Can Help with UX ResearchHey everyone, Tal here! Earlier today I came across a fascinating blog post by Chloe Garnham, that delves into the transformative role of AI in UX research. As someone deeply ...
03:22
How AI Can Help with UX Research
Hey everyone, Tal here! Earlier today I came across a fascinating blog post by Chloe Garnham, that delves into the transformative role of AI in UX research. As someone deeply entrenched in the world of UX design for over two decades, I found Chloe's insights both timely and thought provoking. Chloe starts by highlighting the sweeping impact of artificial intelligence across various industries, including UX research. She points out that AI can significantly streamline the complex, time-consuming tasks that researchers face daily. From optimizing workflows to minimizing manual errors, AI tools are already making a difference. In terms of data collection, Chloe explains how AI can gather and organize information from multiple sources like social media comments, website analytics, and survey results. This not only speeds up the process but also enhances accuracy. AI tools can even perform text-mining and sentiment analysis to uncover key user behavior data, which can be invaluable for decision-making. When it comes to analyzing big data, Chloe notes that AI can handle large datasets far more efficiently than manual methods. AI algorithms can identify themes, patterns, and trends that might be missed by human eyes, offering more reliable insights for decision-making. Chloe also explores the potential of AI in automating UX research. Imagine bots conducting usability tests or interviewing customers through live chat interfaces. This could free up researchers to focus on crafting the right questions and applying the findings more effectively. However, Chloe wisely advises caution. AI has its limitations, especially in understanding context, empathy, and flexibility. Human insight remains irreplaceable for nuanced and creative problem-solving. The benefits of AI for UX researchers are numerous. Faster research processes, reduced costs, and consistent results are just a few. AI tools can also enhance the ease of use in workflows, allowing researchers to conduct more studies and gather deeper insights. Chloe mentions several AI tools already making waves in UX research, such as Uizard for rapid design mockups, UserZoom for participant recruitment, and Dovetail for moving teams from insights to actions quickly. But it's not all smooth sailing. Chloe emphasizes the importance of not over-relying on AI tools. They are still developing and can produce biased or inaccurate results. Human oversight is crucial to ensure the reliability of AI-generated insights. Looking ahead, Chloe predicts that AI will continue to revolutionize UX design and research. It will likely increase personalization, speed up design processes, and improve research reliability. However, the human element—empathy, creativity, and ethical considerations—will always be essential. So, if you're in the UX field, I highly recommend reading Chloe's blog post. It's a comprehensive guide that offers valuable insights into how AI can be both a boon and a challenge for UX researchers. And as always, let's make the world a better place, pixel by pixel.
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Hey everyone, Tal here! Earlier today I came across a fascinating blog post by Chloe Garnham, that delves into the ...
Hey everyone, Tal here! Earlier today I came across a fascinating blog post by Chloe Garnham, that delves into the transformative role of AI in UX research.
As someone deeply entrenched in the world of UX design for over two decades, I found Chloe's insights both timely and thought provoking.
Chloe starts by highlighting the sweeping impact of artificial intelligence across various industries, including UX research.
She points out that AI can significantly streamline the complex, time-consuming tasks that researchers face daily.
From optimizing workflows to minimizing manual errors, AI tools are already making a difference.
In terms of data collection, Chloe explains how AI can gather and organize information from multiple sources like social media comments, website analytics, and survey results.
This not only speeds up the process but also enhances accuracy.
AI tools can even perform text-mining and sentiment analysis to uncover key user behavior data, which can be invaluable for decision-making.
When it comes to analyzing big data, Chloe notes that AI can handle large datasets far more efficiently than manual methods.
AI algorithms can identify themes, patterns, and trends that might be missed by human eyes, offering more reliable insights for decision-making.
Chloe also explores the potential of AI in automating UX research.
Imagine bots conducting usability tests or interviewing customers through live chat interfaces.
This could free up researchers to focus on crafting the right questions and applying the findings more effectively.
However, Chloe wisely advises caution.
AI has its limitations, especially in understanding context, empathy, and flexibility.
Human insight remains irreplaceable for nuanced and creative problem-solving.
The benefits of AI for UX researchers are numerous.
Faster research processes, reduced costs, and consistent results are just a few.
AI tools can also enhance the ease of use in workflows, allowing researchers to conduct more studies and gather deeper insights.
Chloe mentions several AI tools already making waves in UX research, such as Uizard for rapid design mockups, UserZoom for participant recruitment, and Dovetail for moving teams from insights to actions quickly.
But it's not all smooth sailing.
Chloe emphasizes the importance of not over-relying on AI tools.
They are still developing and can produce biased or inaccurate results.
Human oversight is crucial to ensure the reliability of AI-generated insights.
Looking ahead, Chloe predicts that AI will continue to revolutionize UX design and research.
It will likely increase personalization, speed up design processes, and improve research reliability.
However, the human element—empathy, creativity, and ethical considerations—will always be essential.
So, if you're in the UX field, I highly recommend reading Chloe's blog post.
It's a comprehensive guide that offers valuable insights into how AI can be both a boon and a challenge for UX researchers.
And as always, let's make the world a better place, pixel by pixel.
After entering the number, the mobile send button will be available to you in all items.
03:22
|
|
SummuraiHow AI Can Help with UX Research |
03:22
|
How AI Can Help with UX Research
Hey everyone, Tal here! Earlier today I came across a fascinating blog post by Chloe Garnham, that delves into the transformative role of AI in UX research. As someone deeply entrenched in the world of UX design for over two decades, I found Chloe's insights both timely and thought provoking. Chloe starts by highlighting the sweeping impact of artificial intelligence across various industries, including UX research. She points out that AI can significantly streamline the complex, time-consuming tasks that researchers face daily. From optimizing workflows to minimizing manual errors, AI tools are already making a difference. In terms of data collection, Chloe explains how AI can gather and organize information from multiple sources like social media comments, website analytics, and survey results. This not only speeds up the process but also enhances accuracy. AI tools can even perform text-mining and sentiment analysis to uncover key user behavior data, which can be invaluable for decision-making. When it comes to analyzing big data, Chloe notes that AI can handle large datasets far more efficiently than manual methods. AI algorithms can identify themes, patterns, and trends that might be missed by human eyes, offering more reliable insights for decision-making. Chloe also explores the potential of AI in automating UX research. Imagine bots conducting usability tests or interviewing customers through live chat interfaces. This could free up researchers to focus on crafting the right questions and applying the findings more effectively. However, Chloe wisely advises caution. AI has its limitations, especially in understanding context, empathy, and flexibility. Human insight remains irreplaceable for nuanced and creative problem-solving. The benefits of AI for UX researchers are numerous. Faster research processes, reduced costs, and consistent results are just a few. AI tools can also enhance the ease of use in workflows, allowing researchers to conduct more studies and gather deeper insights. Chloe mentions several AI tools already making waves in UX research, such as Uizard for rapid design mockups, UserZoom for participant recruitment, and Dovetail for moving teams from insights to actions quickly. But it's not all smooth sailing. Chloe emphasizes the importance of not over-relying on AI tools. They are still developing and can produce biased or inaccurate results. Human oversight is crucial to ensure the reliability of AI-generated insights. Looking ahead, Chloe predicts that AI will continue to revolutionize UX design and research. It will likely increase personalization, speed up design processes, and improve research reliability. However, the human element—empathy, creativity, and ethical considerations—will always be essential. So, if you're in the UX field, I highly recommend reading Chloe's blog post. It's a comprehensive guide that offers valuable insights into how AI can be both a boon and a challenge for UX researchers. And as always, let's make the world a better place, pixel by pixel.
We just need your phone...
After entering the number, the mobile send button will be available to you in all items. Send to mobile
After a short one-time registration, all the articles will be opened to you and we will be able to send you the content directly to the mobile (SMS) with a click.
We sent you!
The option to cancel sending by email and mobile Will be available in the sent email.
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03:22
60% Complete
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