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Corning Faces Antitrust Charges Over Gorilla Glass Dominance

Emerson Blake
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Corning Faces Antitrust Charges Over Gorilla Glass Dominance

EU Antitrust Probe Targets Corning’s Dominance in Mobile Phone Glass Market

EU Launches Investigation into Corning’s Gorilla Glass Monopoly

The European Commission (EC) has announced an antitrust investigation into US-based glass-maker Corning, citing concerns that its Gorilla Glass has dominated the mobile phone screen market through restrictive deals and licensing agreements.

Corning’s Alleged Anticompetitive Practices

According to the EC, Corning’s shatter-resistant alkali-aluminosilicate glass has maintained its market lead due to its aggressive business practices. The company allegedly requires device makers to source all or nearly all of their Gorilla Glass demand from Corning, and rewards them with rebates for compliance. Additionally, Corning is said to have demanded that device makers report competitive offers to the glass maker, and has exerted pressure on "finishers" – companies that turn raw glass into finished phone screen protectors – to refrain from pursuing patent challenges against Corning.

Exclusion of Rival Producers

The EC claims that these agreements may have excluded rival glass producers from large segments of the market, reducing customer choice, increasing prices, and stifling innovation to the detriment of consumers worldwide.

Gorilla Glass: A Widely Recognized Brand

Gorilla Glass has become synonymous with durability and protection, with new iterations boasting improved strength and resistance. Apple, in particular, has closely partnered with Corning, investing $45 million to expand its US manufacturing capabilities. The first iPhone was even modified at the last minute to use Gorilla Glass instead of a plastic screen, per Steve Jobs’ insistence.

Response from Corning

Ars has reached out to Corning for comment and will update this post with any response.

Conclusion

The EU’s investigation into Corning’s Gorilla Glass dominance highlights the importance of maintaining a competitive market to ensure innovation and consumer choice. As the glass industry continues to evolve, it is essential for companies like Corning to adapt and remain transparent in their business practices to avoid antitrust concerns.

FAQs

Q: What is the purpose of the EU’s investigation into Corning?
A: The investigation aims to determine whether Corning’s business practices have created a monopoly in the mobile phone glass market, reducing customer choice and stifling innovation.

Q: What are the alleged anticompetitive practices by Corning?
A: Corning is accused of requiring device makers to source all or nearly all of their Gorilla Glass demand from the company, rewarding them with rebates for compliance, and exerting pressure on "finishers" to refrain from pursuing patent challenges against Corning.

Q: How has Apple partnered with Corning?
A: Apple has invested $45 million in Corning to expand its US manufacturing capabilities and has used Gorilla Glass in its products, including the iPhone.

Unlocking Efficiency: AI for Small Business

Parker Lennox
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Unlocking Efficiency: AI for Small Business

 

Overview of AI in Business

From manufacturing to marketing, AI’s impact spans industries, enhances operational efficiency, and drives business innovation. Modern AI applications include Generative AI, which creates new content such as text, images, and even videos. This helps employees looking for more creative ideas and means to accelerate their creative and marketing processes.

Natural Language Processing (NLP) enables businesses to understand and generate human language, improving customer interactions through advanced chatbots and virtual assistants. Machine Learning (ML) models now offer more sophisticated predictive analytics, allowing companies to forecast trends and optimize strategies with unprecedented accuracy. Computer Vision technologies are transforming industries by automating image and video analysis, from quality control in manufacturing to advanced security systems.

Here are some compelling statistics to better understand what’s going on with AI within the business landscape. A 2023 survey conducted by InstantPrint among 1,000 UK office workers revealed some compelling insights about AI adoption in the workplace. The survey found that:

  • 89% of respondents are already using AI in their jobs.
  • Of those, 71% are between 18 and 34 years old.
  • 24% said AI helps them save money, while 21% noted it saves them time.

15 Ways of How to Use AI in Your Small Business

AI is now within reach of small businesses, not just a privilege of large enterprises. With AI solutions, you can automate tasks, cut costs, and delight customers. Here are 15 strategies to harness AI in small businesses and stay ahead of the competition.

Customer Service Automation

AI-powered chatbots like Tidio, LivePerson, or ChatGPT can handle a large volume of customer inquiries at all hours, ensuring your customers receive immediate responses even outside business hours. These bots can answer FAQs, resolve simple issues, and even complete transactions, freeing up your human customer service agents to focus on more complex tasks. According to IBM studies, 80% of routine customer inquiries can be handled by AI chatbots, reducing operational costs significantly.

Personalized Marketing

Campaigns Personalization is key to modern marketing success. AI tools like HubSpot and ActiveCampaign use customer data to create highly tailored marketing campaigns. AI analyzes customer behavior, purchase history, and engagement patterns to send personalized messages, offers, and product recommendations. This level of precision can drive a 20% increase in revenue, as consumers are more likely to engage with messages that speak directly to their preferences and needs.

Data Availability and Quality

AI systems are data-driven, and their effectiveness largely depends on the quality and quantity of data they receive. Small businesses may struggle with limited access to large datasets, which can hinder the performance of AI tools. Additionally, poor data management practices, such as incomplete or outdated records, can compromise the accuracy of AI-generated insights, reducing the overall value AI can bring to the business.

Integration with Existing Systems

Many small businesses operate on legacy systems that may not be fully compatible with modern AI solutions. Integrating new AI tools into these outdated systems can be a complex and costly process. This challenge is particularly relevant for businesses that have not yet digitized their operations. The need to overhaul existing infrastructure can lead to additional expenses and downtime, further complicating the adoption of AI.

Employee Resistance

AI can sometimes be perceived as a threat to jobs, leading to resistance from employees who fear being replaced by automation. This can create a negative work environment and hinder the successful adoption of AI. To overcome this challenge, businesses need to emphasize the role of AI in augmenting, not replacing, human workers. Offering training and ensuring that AI tools are used to enhance productivity can help alleviate employee concerns.

Security and Privacy Concerns

As AI systems process large amounts of sensitive data, small businesses must prioritize cybersecurity. However, many small firms lack the resources to implement robust data security measures, leaving them vulnerable to data breaches and cyberattacks. Additionally, privacy concerns around customer data can create legal and ethical issues, especially if AI tools are not compliant with data protection regulations like GDPR or CCPA.

Keeping Up with AI Advancements

AI technology evolves rapidly, and keeping up with the latest developments can be a challenge for small businesses with limited time and resources. Staying informed about the latest tools, updates, and best practices requires continuous learning and adaptation. This can be difficult for small business owners focused on day-to-day operations, leading to the risk of falling behind competitors who adopt newer AI innovations.

To Sum Up

AI is rapidly transforming how small businesses operate, offering tools and solutions that were once out of reach for many. As technology becomes more accessible, small businesses can leverage AI to streamline processes, improve customer experiences, and stay competitive in a fast-evolving marketplace.

Key Takeaways:

AI Software for Small Business:

From automation to customer service, AI is offering practical solutions for day-to-day operations.

Best AI Tools for Small Businesses:

Tools like ClickUp, ChatSpot by HubSpot, and DALL-E 2 are already helping small businesses boost productivity and creativity.

Benefits of AI Adoption:

By adopting AI, small businesses are seeing time and cost savings, improved efficiency, and enhanced customer engagement.

Techniques for Implementing AI:

Starting small, focusing on data quality, and choosing the right tools are crucial steps for successful AI adoption.

Challenges of AI for SMBs:

Limited budgets, a lack of expertise, and data privacy concerns remain obstacles for small firms.

Future Trends in AI:

Personalization, automation, and predictive analytics will continue to shape the future of small business operations as AI technology advances.

FAQ

Q: What are the benefits of AI adoption?

A: AI adoption can bring time and cost savings, improved efficiency, and enhanced customer engagement.

Q: What are some popular AI tools for small businesses?

A: Tools like ClickUp, ChatSpot by HubSpot, and DALL-E 2 are already helping small businesses boost productivity and creativity.

Q: What are some challenges of AI implementation for small businesses?

A: Limited budgets, a lack of expertise, and data privacy concerns remain obstacles for small firms.

Q: How can small businesses implement AI?

A: Start small, focus on data quality, and choose the right tools to ensure successful AI adoption.

A Striking Leap in Humanoid Robotics from China

Avery Winslow
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A Striking Leap in Humanoid Robotics from China

China’s robotics industry has just marked an impressive leap with the unveiling of a new humanoid robot, Astribot S1. The fully autonomous robot, developed by Stardust Intelligence, redefines the benchmarks of speed, precision, and functionality. Let’s explore how this AI-driven marvel would reshape various sectors with its remarkably human-like capabilities.

Also Read: Figure AI’s Humanoid Robot Starts to Talk Like Humans

Living Up to Expectations

The name ‘Astribot’ draws inspiration from the Latin phrase ‘Ad astra per aspera,’ which means ‘a journey through hardship to reach stardust.’ The bot thus encapsulates the company’s relentless pursuit of innovation and excellence in robotics. Since its launch, Astribot S1 has demonstrated manual skills exceeding those of any other existing humanoid robot.

Mastering Human-like Movements

Astribot S1 embodies years of meticulous research and development led by seasoned robotics expert, Lai Jie. Employing imitation learning, Astribot S1 demonstrates an unprecedented level of agility and adaptability, setting new standards for humanoid robots. Trained to do household chores, the humanoid robot can perform movements with a top speed of 10 m/s. Moreover, it is capable of handling a payload of 22 pounds (10 kilograms) per arm.

Also Read: UBTech Teams-up with Baidu to Make Smarter Humanoid Robots

Impressive Speed and Precision

In a captivating video demonstration, Astribot S1 showcases its prowess by seamlessly executing a myriad of tasks with remarkable speed and precision. From folding clothes to delicately shaving cucumbers, the robot’s dexterity is truly remarkable. Astribot S1’s ability to navigate intricate tasks with finesse is evident as it pours wine and flips sandwiches. This demonstration underscores the robot’s potential as a versatile assistant in various settings.

Also Read: Magna Teams Up with Sanctuary AI to Introduce Humanoid Robots into Manufacturing

Fully autonomous humanoid robot, Astribot S1 raises benchmarks in robotics.

Major Strides in Humanoid Innovation

The debut of Astribot S1 comes amid a wave of advancements in the global robotics landscape. From OpenAI’s laundry-folding robot to Boston Dynamics’ agile Atlas, the industry is experiencing an unprecedented surge in innovation fueled by advancements in AI and large language models (LLMs). Astribot S1’s introduction adds another dimension to this narrative, signaling China’s formidable presence in the race for robotics supremacy.

Our Say

The fully autonomous Astribot S1 represents a new milestone in robotics, raising the bar for humanoid robots. It also exemplifies China’s prowess in harnessing cutting-edge technology for practical applications. As the commercial release of Astribot S1 looms closer, the excitement surrounding its potential impact on various industries is palpable. With its unmatched speed, precision, and adaptability, Astribot S1 is set to usher in a new era of human-robot collaboration.

Follow us on Google News to stay updated with the latest innovations in the world of AI, Data Science, & GenAI.

K.C. Sabreena Basheer

Sabreena Basheer is an architect-turned-writer who’s passionate about documenting anything that interests her. She’s currently exploring the world of AI and Data Science as a Content Manager at Analytics Vidhya.

Unleashing AI-Powered Motivation in Deep Learning

Morgan Tate
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Unleashing AI-Powered Motivation in Deep Learning

Key Points:

  • The use of AI in education is on the rise, but its long-term impact on students’ motivation and learning is unknown.
  • AI tools can perpetuate biases and stereotypes, which can lead to decreased motivation and learning outcomes for students of color.
  • The education system itself is biased, and AI systems learn from real data, reflecting societal trends.
  • Implementing anti-bias practices and testing AI systems with diverse populations can help mitigate potential negative outcomes.

The Rise of AI in Education

In the quickly evolving landscape of AI, education stands at the forefront. New AI tools are emerging daily for educators and students; from AI tutors to curriculum creators, the AI education market is surging.

The Impact of AI on Student Motivation and Learning

However, the long-term impact of AI use on students is unknown. As educational AI research tries to keep up with AI development, questions remain surrounding the impact of AI use on student motivation and overall learning. These questions are particularly significant for students of color, who consistently encounter more systemic barriers than their white peers.

The Nature of AI

AI learns and develops based on preexisting datasets, which often reflect societal biases and racism. This reliance on biased data can lead to skewed and potentially harmful outputs. For example, AI-generated images are prone to perpetuating stereotypes and clichés, such as exclusively generating images of leaders as white men in suits.

Bias in AI-Generated Content

This is not to suggest that AI is a unique potential detractor. Discrimination is a persistent factor in the real world that affects students’ motivational and learning experiences. Similar bias has previously been seen in non-AI learning and motivation tools developed from research that primarily focuses on white, middle-class students.

The Impact of AI on Student Motivation and Learning

When we think about current AI use in education, these baked-in biases can already be cause for concern. On the student use end, AIs have demonstrated subtle racism in the form of dialect prejudice: students using African American Vernacular English (AAVE) may find that the AIs they communicate with offer them less favorable recommendations than their peers. For teachers, similar bias may impact the grades AI-powered programs assign students, preferring the phrasing and cultural perspectives used in white students’ essays over those of students of color.

Conclusion

For human biases, we recommend anti-bias practices to counteract these perceptions. With AI, we may yet have an opportunity to incorporate similar bias awareness and anti-discriminatory practices. Such training for AI has been a prominent point in the conversation around responsible AI creation and use for several years, with companies such as Google releasing AI guidelines with an emphasis on addressing bias in AI systems development.

FAQs

Q: What is the impact of AI on student motivation and learning?
A: The impact of AI on student motivation and learning is unknown, but it has the potential to perpetuate biases and stereotypes, leading to decreased motivation and learning outcomes for students of color.

Q: How can we mitigate the potential negative outcomes of AI in education?
A: Implementing anti-bias practices and testing AI systems with diverse populations can help mitigate potential negative outcomes.

Q: What is the future of AI in education?
A: The future of AI in education is uncertain, but it is clear that it will continue to evolve and play a significant role in the education system. It is crucial that we address the potential biases and limitations of AI to ensure that it is used in a way that benefits all students.

AI Threatens Windows Notepad Users

Emerson Blake
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AI Threatens Windows Notepad Users

Microsoft Brings AI-Based Rewrite Feature to Notepad

Introducing AI-Powered Rewrite

Were you thinking Microsoft has added AI to virtually its entire software lineup except for Notepad? Well, here comes an update to prove you wrong. Now rolling out to Windows Insiders in Windows 11 is a new Rewrite option for Notepad that promises to spruce up your text with the help of AI. Using an AI model called GPT, Rewrite can revise sentences, modify the tone, or alter the length of your text, explains Microsoft.

Getting Started with Rewrite

To take Rewrite for a spin, you’ll need the latest Canary or Dev build on Windows 11. Assuming you’re already registered with the Windows Insider program with either of these builds, head to Settings, select Windows Update, and click the button for Check for Updates. You should also make sure you’re running the latest version of Notepad. For that, open the Microsoft Store app, click the icon for Downloads, and then update all your installed apps.

Using Rewrite

Further, you’ll need to be signed into Windows with the Microsoft account registered with the Insider program. Microsoft says that’s because Rewrite is a cloud-based service that requires authentication and access to the AI credits necessary for generating content. Now, fire up Notepad and type some text you want to revise, anything from a couple of words to an entire document. Right-click on the selected text and choose Rewrite, select the Rewrite button on the toolbar, or press Ctrl + I. Next, tell Rewrite how to handle the revision. You can choose among different options, such as making the text longer or shorter, switching the tone between casual and professional, and even modifying the overall format.

AI Credits and Limitations

The AI credits that Microsoft doles out for Rewrite vary based on a couple of factors. Those of you in the US, UK, Canada, France, Italy, and Germany start with 50 credits. Subscribers to Microsoft 365 Personal or Family get 60 credits per month, an option that also includes people in Australia, New Zealand, Malaysia, Singapore, and Taiwan. Copilot Pro users get "extensive use of AI features," which sounds like Microsoft speak for unlimited use. The AI credits are accepted not just in Notepad but in other Microsoft products such as Word, Excel, PowerPoint, Outlook, OneNote, Forms, Designer, Photos, and Paint.

Conclusion

Microsoft’s Rewrite feature is an exciting addition to Notepad, offering users a powerful tool to refine their text with the help of AI. While it’s currently limited to the Dev or Canary Windows 11 insider builds, we’ll likely have to wait at least a few months before the option pops up in the standard version of Notepad.

Frequently Asked Questions

Q: Do I need to be a Windows Insider to use the Rewrite feature?
A: Yes, you need to be a Windows Insider with the latest Canary or Dev build on Windows 11 to use the Rewrite feature.

Q: How do I get the latest version of Notepad?
A: You can get the latest version of Notepad by opening the Microsoft Store app, clicking the icon for Downloads, and then updating all your installed apps.

Q: How do I use the Rewrite feature?
A: To use the Rewrite feature, right-click on the selected text and choose Rewrite, select the Rewrite button on the toolbar, or press Ctrl + I. Then, tell Rewrite how to handle the revision by choosing among different options.

Q: How many AI credits do I get per month?
A: The number of AI credits you get per month varies based on your location and subscription status. Those in the US, UK, Canada, France, Italy, and Germany start with 50 credits, while subscribers to Microsoft 365 Personal or Family get 60 credits per month. Copilot Pro users get "extensive use of AI features," which sounds like Microsoft speak for unlimited use.

Levels of collaboration and industrial scenarios with cobots: a comprehensive guide | Blog

Avery Winslow
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Levels of collaboration and industrial scenarios with cobots: a comprehensive guide | Blog

Collaborative robots have revolutionized the manufacturing industry by offering a new level of flexibility and efficiency. Unlike traditional industrial robots that are solely designed to work in isolation, cobots are specifically designed to work alongside humans in a collaborative manner. This opens up a wide range of possibilities for automation in various industrial scenarios. In this comprehensive guide, we will explore the different levels of collaboration and industrial scenarios where cobots are commonly used.

Understanding the levels of collaboration in cobots

Cobots are classified into different levels of collaboration based on their interaction with humans. Each level represents a different degree of collaboration and safety features. Understanding these levels is crucial for choosing the right cobot for your specific needs. Here are the levels we will explore :

  • Level 1: Safety monitored stop
  • Level 2: Hand guiding
  • Level 3: Speed and separation monitoring
  • Level 4: Power and force limiting
  • Level 5: Safety-rated monitored stop
  • Level 6: Hand guiding with speed and separation monitoring
  • Level 7: Power and force limiting with speed and separation monitoring

Level 1: Safety monitored stop

At level 1, cobots are equipped with safety sensors that can detect the presence of humans in their workspace. When a human enters the cobot’s workspace, it will automatically stop its operation to prevent any potential accidents. This level is suitable for scenarios where human interaction is minimal, and the primary goal is to ensure the safety of the human workers.

Level 2 cobots allow direct physical interaction between humans and robots. They have sensors that can detect and respond to human touch, allowing operators to guide the cobot’s movements manually. This level of collaboration is ideal for tasks that require precise positioning or delicate handling.

Level 3: Speed and separation monitoring

At level 3, cobots can work in close proximity to humans while constantly monitoring their speed and separation. If the cobot detects that a human is moving too fast or getting too close, it will automatically slow down or stop to maintain a safe distance. This level of collaboration is suitable for scenarios where humans and cobots need to work side by side, such as assembly lines or material handling.

Level 4: Power and force limiting

Level 4 cobots are designed with advanced safety features that limit the amount of force and power they can exert. This level of collaboration enables cobots to work in direct contact with humans without posing any risk of injury. It is commonly used in applications that require forceful tasks, such as heavy lifting or machine tending.

Level 5: Safety-rated monitored stop

Similar to level 1, level 5 cobots have safety sensors that can detect the presence of humans. However, they also have additional safety features, such as safety-rated monitored stop, which ensures that the cobot stops its operation in a safe manner. This level of collaboration provides an extra layer of safety for scenarios where human workers are more involved in the cobot’s operation.

Level 6: Hand guiding with speed and separation monitoring

Level 6 cobots combine the features of level 2 and level 3. They allow operators to manually guide the cobot’s movements while also monitoring the speed and separation between humans and cobots. This level of collaboration is suitable for tasks that require both precision and close human-robot interaction.

Level 7: Power and force limiting with speed and separation monitoring

At level 7, cobots have the combined features of level 4 and level 3. They can work in direct contact with humans while ensuring both power and force limitation and monitoring the speed and separation. This level of collaboration is ideal for applications that require both forceful tasks and close human-robot collaboration.

Industrial scenarios where cobots are used

Cobots are widely used in various industrial scenarios due to their ability to enhance productivity and safety. Let’s explore some of the most common scenarios where cobots are employed.

Scenario 1: Assembly line automation

In assembly line automation, cobots play a vital role in speeding up the production process. They can perform repetitive tasks, such as picking and placing components, tightening screws, or performing quality checks. Cobots at different levels of collaboration can be used depending on the complexity of the assembly process and the required level of human involvement.

Scenario 2: Material handling and logistics

Cobots are excellent for material handling and logistics applications. They can efficiently move heavy objects, load and unload pallets, and transport goods within a warehouse or distribution center. Cobots with different levels of collaboration can be utilized to optimize the workflow and reduce the risk of injuries associated with manual material handling.

Scenario 3: Quality control and inspection

Ensuring product quality is crucial in manufacturing. Cobots can be programmed to perform precise quality control and inspection tasks, such as measuring dimensions, detecting defects, or conducting visual inspections. With their high accuracy and repeatability, cobots can significantly improve the quality control process.

Scenario 4: Welding and fabrication

Cobots are increasingly being used for welding and fabrication tasks. They offer increased precision and speed compared to manual welding, resulting in higher productivity and improved weld quality. Cobots equipped with appropriate safety features can work alongside human welders, reducing the risk of accidents and enhancing overall efficiency.

Scenario 5: Packaging and palletizing

In packaging and palletizing applications, cobots can automate the process of packing products into boxes or loading them onto pallets. They can handle different types of products and adapt to varying packaging requirements. Cobots with different levels of collaboration can be employed depending on the complexity of the packaging process and the need for human intervention.

Scenario 6: Machine Tending

Cobots are well-suited for machine tending tasks, where they can load and unload parts from machines, perform tool changes, or monitor the production process. By automating machine tending, manufacturers can improve productivity, reduce errors, and free up human workers for more complex tasks.

Conclusion: Choosing the right level of collaboration and industrial scenario for your business

As the use of cobots continues to grow, it is essential for businesses to understand the different levels of collaboration and industrial scenarios that best suit their specific needs. Whether it is assembly line automation, material handling, quality control, welding, packaging, or machine tending, cobots offer a range of solutions to enhance productivity, safety, and efficiency. By carefully considering the levels of collaboration and industrial scenarios required, businesses can leverage the power of cobots to stay competitive in today’s rapidly evolving manufacturing landscape.

If you’re interested in exploring the potential of cobots for your business, contact us today for a consultation and discover how cobots can revolutionize your manufacturing processes.

ChatGPT Search Indexing Essentials

Jordan Waverly
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ChatGPT Search Indexing Essentials

As the Availability of ChatGPT Search Expands, Understanding its Indexing Mechanics will be Vital for Digital Visibility

While Bing’s index plays a key role, OpenAI’s system surfaces content using its own crawlers and attribution methods.

Technical Framework

ChatGPT Search combines Bing’s search index with OpenAI’s proprietary technology.

According to OpenAI’s technical documentation, the platform utilizes a fine-tuned version of GPT-4o, enhanced with synthetic data generation techniques and integration with their o1-preview system.

The platform employs three distinct crawlers, each serving different purposes.

The OAI-SearchBot serves as the primary crawler for search functionality, while ChatGPT-User handles real-time user requests and enables direct interaction with external applications.

The third crawler, GPTBot, manages AI model training and can be blocked without affecting search visibility.

Implementation

Proper indexing begins with robots.txt configuration.

Your website’s robots.txt should specifically allow OAI-SearchBot while maintaining separate permissions for different OpenAI crawlers.

In addition to this basic configuration, websites must ensure proper indexing by Bing and maintain a clear site architecture.

It’s worth noting that allowing OAI-SearchBot doesn’t automatically mean the content will be used for AI training.

It can take approximately 24 hours for OpenAI’s systems to adjust to new crawling directives after a site’s robots.txt update.

Content Attribution

ChatGPT Search includes several key features for content publishers:

  • Source Attribution: All referenced content includes proper citation
  • Source Sidebar: Provides reference links for verification
  • Multiple Citation Opportunities: A single query can generate multiple source citations
  • Locations: Searches for specific locations will return an interactive map, as shown below.

Image Credit: OpenAI

Additional Considerations

Recent testing has revealed several important factors:

  • Content freshness affects visibility
  • Pages behind paywalls can still be cited
  • URLs returning 404 errors may still appear in citations
  • Multiple pages from the same domain can be referenced in a single response

Recommendations

Indexing in ChatGPT requires ongoing attention to technical health, including regular verification of the robots.txt file and crawler access.

Publishers should prioritize maintaining factual accuracy and up-to-date information while implementing a clear content structure.

This ensures that pages remain accessible across traditional search engines and AI-powered platforms, helping websites achieve broader visibility.

Conclusion

ChatGPT Search is a powerful tool that requires a deep understanding of its indexing mechanics to ensure optimal visibility. By following the technical framework, implementing proper robots.txt configuration, and prioritizing content accuracy and structure, publishers can maximize their online presence and reach a broader audience.

FAQs

Q: What is the primary crawler used by ChatGPT Search?

A: The primary crawler used by ChatGPT Search is OAI-SearchBot.

Q: Can I block the GPTBot crawler without affecting search visibility?

A: Yes, blocking the GPTBot crawler will not affect search visibility.

Q: How long does it take for OpenAI’s systems to adjust to new crawling directives after a site’s robots.txt update?

A: It can take approximately 24 hours for OpenAI’s systems to adjust to new crawling directives after a site’s robots.txt update.

Q: Can I use ChatGPT Search to train AI models?

A: No, allowing OAI-SearchBot does not automatically mean the content will be used for AI training.

ChatGPT’s AI Search Tool

Avery Winslow
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ChatGPT’s AI Search Tool

OpenAI’s AI Search Update for ChatGPT: A Game-Changer or Just Another Player?

The Launch of ChatGPT Search

OpenAI has finally launched its AI search update for ChatGPT, just three months after announcing its SearchGPT prototype. The feature, referred to as "ChatGPT search" by product lead Adam Fry, is designed to make ChatGPT the best place to answer any question, including live information from the web.

A Crowded and Contenious Field

ChatGPT search enters a crowded and contentious field of AI search options, with competition from smaller startups like Perplexity and tech giants like Google with its AI Overview search results. In 2024, journalists have criticized both Google and Perplexity’s implementations of AI search for improperly copying aspects of original work and hallucinating fake information.

Content Licensing Deals

In the lead-up to ChatGPT’s search upgrade, OpenAI reached content licensing deals with multiple online publishers, including The Atlantic, Vox Media, and Condé Nast, WIRED’s parent company. These deals allow the AI startup to use publishers’ work to train its systems in exchange for a fee.

Testing the Update

I was anxious about the ramifications when I first saw my writing for WIRED referenced by ChatGPT back in 2023. After testing a prelaunch version of ChatGPT’s new AI search, it’s clear that OpenAI has made significant progress since its initial messy foray into web browsing, with more interactive elements and clearer attribution of its sources. I could see a subset of early adopters really latching on to the new ChatGPT search.

Room for Improvement

However, the product needs improvements before it’s able to truly compete with the dominance of Google for essential search experiences, such as online shopping. ChatGPT also makes some of the same mistakes as other AI search tools, such as hallucinating and citing incorrect information.

How to Use ChatGPT’s Search Tool

To immediately try out this update, you need to pay for one of OpenAI’s subscriptions. If you have the ChatGPT Plus plan for $20 a month or ChatGPT Teams through work, the new search experience should be available. OpenAI will likely roll this out to users who have Enterprise and Edu plans sometime later in November. Free users will have to wait the longest, likely until early next year.

ChatGPT Search is Powered by GPT-4o

ChatGPT search is powered by a custom version of GPT-4o, OpenAI’s recent generative model. It’s available to users through the ChatGPT website, mobile app (Android, Apple), and web app (Mac, Windows). In any country where ChatGPT is available, the AI search feature will likely be an option.

Conclusion

OpenAI’s AI search update for ChatGPT is an exciting development in the world of AI search. While it has made significant progress since its initial launch, there is still room for improvement before it can truly compete with the dominance of Google. With its custom version of GPT-4o and interactive elements, ChatGPT search has the potential to become a popular choice for users.

FAQs

Q: What is ChatGPT search?
A: ChatGPT search is a new AI search feature that allows users to search for information on the web using ChatGPT.

Q: Is ChatGPT search available to all users?
A: No, ChatGPT search is only available to users who have a paid subscription to ChatGPT, including ChatGPT Plus and ChatGPT Teams.

Q: How does ChatGPT search work?
A: ChatGPT search is powered by a custom version of GPT-4o, OpenAI’s recent generative model.

Q: Can I use ChatGPT search on my mobile device?
A: Yes, ChatGPT search is available on both Android and Apple mobile devices.

Q: When will free users be able to access ChatGPT search?
A: Free users will likely have to wait until early next year to access ChatGPT search.

SmartThings Blog

Avery Winslow
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SmartThings Blog

What do SmartThings and our partners have in common? We use automation to create a more sustainable, efficient future. 

For us and our partner ABB, this future starts at the smart home. Since 1891, ABB has led the way in developing technological innovations in automation, and now offers you solutions connecting devices and appliances, regardless of brand.

Users can control their devices from different manufacturers via the ABB-free@home® automation app, which is integrated into  SmartThings seamlessly and sustainably with SmartThings Energy, a comprehensive energy management solution in our app.

In our latest LinkedIn Q&A, we chatted with ABB to discuss our partnership, how their products work with SmartThings, and more. Browse the highlights below or keep reading for the full conversation. 

The Highlights

SmartThings: Walk us through a case study or example of how your products work with SmartThings.

ABB: Absolutely! In practice, in a residential apartment setting, residents can now holistically manage appliances and devices from different manufacturers via a single home automation app for seamless and complete home management. It’s effortless. It can all be done from intuitive wall panels, laptops, or smartphones. The first-of-a-kind integrated system covers residents’ every need: lighting, blinds, door entry, energy flows, EV charging, smart sockets, appliances, heating, ventilation, air conditioning (HVAC), home entertainment, and load management.

SmartThings: Sustainability is a very important topic for both SmartThings and Samsung through SmartThings Energy and programs like Flex Connect. How can residents take their energy consumption into their own hands with ABB? 

ABB: Homeowners want to save energy, but they also need ease of use when it comes to technology to simply enjoy the best of seamless, connected, and holistic modern living. That means addressing their needs at the most basic level with one manufacturer-agnostic interface. Together with SmartThings, we help residents make a home their own in terms of customization and convenience, but also energy management. Through the central management of solar energy generated, battery storage, and EV chargers, energy consumption can be optimized accordingly – thus improving their impact on the planet.

SmartThings: We are all about keeping it simple! And speaking of devices talking to each other, how does ABB-free@home® work with Matter? And why does Matter matter?

ABB: People are adopting smart home technology at lightning speed. To keep pace, we, as industry players, need to consider things like standardization. ABB is a leading player in the cross-manufacturer connection standard Matter and the network protocol Thread. Boasting support from industry giants such as Amazon, Apple, Google, and Samsung, Matter, for example, signifies a crucial step towards ‘interoperability,’ allowing diverse devices and systems to communicate effortlessly. ABB acquired Eve Systems in June of last year. Based on Matter, Eve Energy, Eve Motion, and Eve Door & Window devices are already part of the SmartThings ecosystem.

SmartThings: A big misconception is the time and energy it takes to get started and set up a smart home. Is all this new technology reserved for people in newer or very modern homes? 

ABB: No! ABB’s retrofitting abilities are propelling us, along with SmartThings, into a new era where residents can manage energy and their surroundings with unprecedented convenience and safety. The strategic move to integrate Matter and Thread smart buildings technology through Eve’s plug-in, interoperable devices enables the rapid transformation of existing homes into smart spaces. This extends the benefits of cutting-edge technology and flawless integration to a broader spectrum of customers than ever before. And we have a question for you! How do new or existing SmartThings users go about setting up an ABB-free@home®?

Our full conversation with ABB

SmartThings: Hey, ABB! Thank you for joining us for a Q&A today. For those who are new to your brand, what is ABB, and what makes ABB home automation products different? 

ABB: Hey, SmartThings! Thank you for having us! We win awards for elements like design and innovation, but what is most relevant here is ABB’s commitment to open systems and interoperable technology. In other words, smart home technology that can “interconnect.” This is so important because homeowners want smart home solutions that link all the devices in their homes, whether they are from Samsung, ABB, or other brands. 

SmartThings: How do your products work with SmartThings?

ABB: The ABB-free@home® automation app is already integrated into the SmartThings platform, so the vision of all home devices and appliances talking to each other through one centralized system to effortlessly save money, time, energy, and hassle is now becoming a reality. 

SmartThings: Walk us through a case study or example of how that works.

ABB: Absolutely! In practice, in a residential apartment setting, residents can now holistically manage appliances and devices from different manufacturers via a single home automation app for seamless and complete home management. It’s effortless. It can all be done from intuitive wall panels, laptops, or smartphones. The first-of-a-kind integrated system covers residents’ every need: lighting, blinds, door entry, energy flows, EV charging, smart sockets, appliances, heating, ventilation, air conditioning (HVAC), home entertainment, and load management.

SmartThings: Sustainability is a very important topic for both SmartThings and Samsung through SmartThings Energy and programs like Flex Connect. How can residents take their energy consumption into their own hands with ABB? 

ABB: Homeowners want to save energy, but they also need ease of use when it comes to technology to simply enjoy the best of seamless, connected, and holistic modern living. That means addressing their needs at the most basic level with one manufacturer-agnostic interface. Together with SmartThings, we help residents make a home their own in terms of customization and convenience, but also energy management. Through the central management of solar energy generated, battery storage, and EV chargers, energy consumption can be optimized accordingly – thus improving their impact on the planet.

SmartThings: We are all about keeping it simple! And speaking of devices talking to each other, how does ABB-free@home® work with Matter? And why does Matter matter? 

ABB: People are adopting smart home technology at lightning speed. To keep pace, we, as industry players, need to consider things like standardization. ABB is a leading player in the cross-manufacturer connection standard Matter and the network protocol Thread. Boasting support from industry giants such as Amazon, Apple, Google, and Samsung, Matter, for example, signifies a crucial step towards ‘interoperability,’ allowing diverse devices and systems to communicate effortlessly. ABB acquired Eve Systems in June of last year. Based on Matter, Eve Energy, Eve Motion, and Eve Door & Window devices are already part of the SmartThings ecosystem.

SmartThings: A big misconception is the time and energy it takes to get started and set up a smart home. Is all this new technology reserved for people in newer or very modern homes? 

ABB: No! ABB’s retrofitting abilities are propelling us, along with SmartThings, into a new era where residents can manage energy and their surroundings with unprecedented convenience and safety. The strategic move to integrate Matter and Thread smart buildings technology through Eve’s plug-in, interoperable devices enable the rapid transformation of existing homes into smart spaces. This extends the benefits of cutting-edge technology and flawless integration to a broader spectrum of customers than ever before. And we have a question for you! How do new or existing SmartThings users go about setting up an ABB-free@home®?

SmartThings:  That is a great question to close out our Q&A! It’s a 7-step process!

  • Open the SmartThings App 
  • Click on ‘devices’ and on ‘+’ 
  • Click on ‘add’ under ‘partner devices’ 
  • Select ‘ABB’ 
  • Login to ABB myBuildings portal 
  • Success, click on ‘Done’ 
  • See all your ABB-free@home® devices and functions in Samsung’s SmartThings App 

You can also watch this video on how to set up ABB-free@home® in the SmartThings app.

Well, that was very informative. Thank you to our partners at ABB for chatting with us today! It was great learning more about your technology and the solutions you provide to consumers and property teams and owners. Want to know more? #DoTheSmartThings and make sure you are following @SmartThings and @ABB on our social media channels, and stay tuned for a blog post recapping this Q&A. 

ABB: Thank you for having us, SmartThings! 

Responsible AI: A Competitive Advantage

Riley Kensington
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Responsible AI: A Competitive Advantage

In the era of generative AI, the promise of the technology grows daily as organizations unlock its new possibilities. However, the true measure of AI’s advancement goes beyond its technical capabilities.

It’s about how technology is harnessed to reflect collective values and create a world where innovation benefits everyone, not just a privileged few. Prioritizing trust and safety while scaling artificial intelligence (AI) with governance is paramount to realizing the full benefits of this technology.

Developing an AI Strategy

It is becoming clear that for many companies, the ability to use responsible AI as part of their business operations is key to remaining competitive. To do that, organizations need to develop an AI strategy that enables them to harness AI responsibly. That strategy should include:

  • Establishing a framework for governing data and AI across the business.
  • Integrating AI into workflows that offer the greatest business impact.
  • Deriving a competitive advantage and differentiation.
  • Attracting talent and customers.
  • Building and retaining shareholder and investor confidence.

The IBM AI Ethics Board

The IBM AI Ethics Board recognizes the opportunities presented by AI while also establishing safeguards to mitigate against misuse. A responsible AI strategy is at the core of this approach:

The board’s white paper, “Foundation models: Opportunities, risks and mitigations,” illustrates that foundation models show substantial improvements in their ability to tackle challenging and intricate problems. Underpinned by AI and data governance, the benefits of foundation models can be realized responsibly, including increased productivity, completion of tasks requiring different data types, and reduced expenses.

Foundation Models

Foundation models are generative, providing opportunities for AI to automate routine and tedious tasks within operational workflows, freeing users to allocate more time to creative and innovative work. An interactive version of the foundation model white paper is also available through IBM Watsonx™ AI risk atlas.

Augmenting Human Intelligence

In recognition of the possible productivity gains offered by AI, the board’s white paper on Augmenting Human Intelligence emphasizes that the effective integration of AI into existing work practices can enable AI-assisted workers to become more efficient and accurate, contributing to a company’s competitive differentiation.

Conclusion

AI presents an exciting opportunity to address some of society’s most pressing challenges. On this AI Appreciation Day, join the IBM AI Ethics Board in our commitment to the responsible development of this transformative technology.

FAQs

Q: What is the IBM AI Ethics Board?
A: The IBM AI Ethics Board is a group that recognizes the opportunities presented by AI while also establishing safeguards to mitigate against misuse.

Q: What are foundation models?
A: Foundation models are generative AI models that can automate routine and tedious tasks within operational workflows, freeing users to allocate more time to creative and innovative work.

Q: How does IBM approach AI ethics?
A: IBM is committed to meeting shareholders’, investors’ and other stakeholders’ growing expectations for the responsible use of AI, including considering the potential environmental impacts of AI.

Q: What is IBM Granite?
A: IBM Granite is a purpose-built AI model that is smaller and more efficient than larger models, making it more environmentally friendly.

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