Google: New Web Sites Homepages Should Get Indexed

Google: New Web Sites Homepages Should Get Indexed

Google has said that new websites' homepages should get indexed without a problem. If not, then the site has a bigger issue.

In a podcast episode, Gary Illyes, a webmaster trends analyst at Google, said that "For new sites, especially the home page, should be very simple to get indexed. If that doesn't get indexed, then that definitely points to some bigger problem."

He added that Google's systems are built such that homepages, like domain.com, will get crawled pretty much first and get indexed first.

If you've recently launched a new website and your homepage is not indexed, there are a few things you can check:

Make sure your website is up and running and that you can access it from a web browser.

Check your Google Search Console account to see if your homepage has been submitted for indexing. If it has, you can request a recrawl.

Make sure your homepage contains unique and relevant content.

Use internal links to connect your homepage to other pages on your website.

Submit your website to other search engines and directories.

It can take anywhere from several hours to several weeks for a new page to be indexed by Google. If you've checked all of the above and your homepage is still not indexed, you can wait a few more days and then contact Google support for assistance.

Here are some additional tips for getting your new website indexed by Google:

Use a descriptive title tag and meta description for your homepage.

Create a sitemap and submit it to Google Search Console.

Get backlinks from other websites.

Promote your website on social media.

By following these tips, you can increase the chances of your new website getting indexed by Google and appearing in search results.

The Best Phones for Kids in 2023

In 2023, there are several excellent phone options available for kids that prioritize safety, simplicity, and parental control features. Here are some of the best phones for kids in 2023:

1 Apple iPhone SE (2023 edition): The iPhone SE offers a compact size, powerful performance, and robust parental control features. It has a user-friendly interface, excellent camera capabilities, and can run the latest iOS updates.

2  Samsung Galaxy A32: The Galaxy A32 provides a great balance between features and affordability. It has a large display, decent performance, and a long-lasting battery. Samsung's One UI offers various parental control options to manage usage and content.

3  Google Pixel 4a: The Pixel 4a is known for its exceptional camera quality and clean Android experience. It offers reliable performance, regular software updates, and a compact design suitable for kids. Parental control apps from the Google Play Store can be utilized for additional monitoring.

4  Nokia 5.4: Nokia phones are known for their durability, simplicity, and value for money. The Nokia 5.4 offers a clean Android experience, decent performance, and a long-lasting battery. While it may not have extensive parental control features, it can be combined with third-party apps for monitoring.

5  Motorola Moto G Power (2023 edition): The Moto G Power is known for its outstanding battery life, reliable performance, and near-stock Android experience. It has a large display and a robust build quality, making it suitable for kids. Parental control apps can be installed to enhance super

6  LG K40: The LG K40 offers a budget-friendly option with decent specifications. It has a durable build, a good display, and satisfactory performance. While it may not have extensive parental control features, it can be combined with third-party apps to enhance monitoring and content filtering.

7  Xiaomi Redmi Note 10: The Redmi Note 10 provides a feature-packed experience at an affordable price. It boasts a large and vibrant display, good performance, and a reliable battery life. Parental control apps available on the Google Play Store can be utilized to manage usage and restrict access to inappropriate content.

8  ASUS ZenFone Max M2: The ZenFone Max M2 is a budget-friendly option that offers decent performance and battery life. It has a clean and user-friendly interface, making it suitable for kids. While it may not have extensive built-in parental control features, third-party apps can be utilized for additional supervision.

9  Alcatel 1B: The Alcatel 1B is an affordable smartphone designed for kids and first-time users. It offers basic functionality, a compact design, and simplified software. It may lack advanced features, but it can serve as an introductory device for younger kids or those who don't require extensive smartphone capabilities.

10  Gabb Wireless Z2: The Gabb Wireless Z2 is a phone explicitly designed for kids, focusing on communication and safety. It offers a limited set of features, including calling, texting, and basic apps, while eliminating access to social media and other distracting elements. It provides parents with control over usage and c

11  Sony Xperia L4: The Xperia L4 offers a compact and stylish design with a decent set of features. It has a good display, satisfactory performance, and a reliable battery life. While it may not have extensive parental control features built-in, third-party apps can be used for additional supervision.

12  Motorola Moto E7 Power: The Moto E7 Power is a budget-friendly option that offers reliable performance and decent battery life. It has a large display, a decent camera, and a durable build. Parental control apps can be installed to enhance monitoring and restrict access to certain content.

13  BlackBerry KEY3: The BlackBerry KEY3 is a unique option for kids who prefer physical keyboards. It offers a secure and productive experience, reliable performance, and good battery life. While it may not have dedicated parental control features, it can be combined with third-party apps for enhanced supervision.

14  CAT S42: The CAT S42 is a rugged smartphone designed for durability and outdoor use. It offers water and dust resistance, shock resistance, and a long-lasting battery. While it may lack advanced parental control features, it can withstand rough handling and is suitable for active kids.

15OnePlus Nord N10: The OnePlus Nord N10 provides a mid-range option with good performance and a large display. It has a capable camera system and a clean Android experience. While it may not have extensive parental control features, it can be paired with third-party apps for additional supervision.

Remember to consider factors such as your child's preferences, usage requirements, and your specific concerns as a parent when choosing a phone for them. Additionally, consider discussing responsible phone usage and setting appropriate boundaries with your child to promote healthy habits.

YouTube’s updated guidelines require channels to disclose if they are fan accounts

YouTube’s updated guidelines require channels to disclose if they are fan accounts

YouTube is making some changes to its guidelines on impersonation to require fan channels to make it obvious in their channel name or handle that they don’t represent the company or artist that their account focuses on. Updated guidelines will take effect on August 21, 2023.

The company notes that channels claiming to be a fan account, but that are actually posing as another’s channel and reuploading their content, will not be allowed on the platform. In addition, channels with the same name and avatar or banner as another channel, with the only difference being a space inserted into the name or a zero replacing the letter O, will not be allowed.

Users are also not allowed to set up a channel using the name and image of a person, and then post comments on other channels as if they were posted by the person. Another example of behavior that would violate this policy includes channels claiming to be a fan account in the channel description, but not stating so clearly in their channel name or handle.

“This update will help genuine fan channels know exactly how you can celebrate your favorite creators, while also protecting original creators from content and channels that are impersonating them,” the company wrote in a blog post. “This update should also ensure that viewers won’t be misled by the channels they interact with and follow, and creators won’t have their name and likeness used for malicious purposes.”

YouTube didn’t have a strict policy regarding fan accounts in the past, as it simply stated that impersonation channels were not allowed on the platform. Now, fan accounts must declare that they are, in fact, just fan accounts in order to avoid having their channels deleted. YouTube’s new policy makes it clear that when a channel, or content in the channel, causes confusion about the “source of goods and services advertised,” it may not be allowed.

SnapCalorie taps AI to estimate the caloric content of food from photos

We’ve found that people’s interest in understanding what they’re putting in their bodies is on the rise. The negative health impacts of things like processed foods are becoming more and more clear every day,” Norris said. “We’ve heard that our users really like SnapCalorie especially when eating out, as many restaurants don’t post nutrition values, and they would otherwise have no way of logging the meal.”

To his point about popularity, SnapCalorie appears to be growing at a healthy clip — it’s on track to break 1,000 new users this month. The company’s focused on expansion at the moment as opposed to monetization, but Norris described the burn rate as “very conservative.”

“Our incredible organic growth rate seems to be indicative of our value proposition resonating well with consumers — people try it, love it and recommend it to their friends and family,” he said.There’s a lot of skepticism in the health industry around photo-driven calorie estimating tools — and for good reason. One 2020 study comparing some of the more popular AI-based calorie counters found that the most accurate — Calorie Mama — was only right about 63% of the time.

So how’s SnapCalorie improved? Beyond the use of depth sensors and reviewers, Norris points to an algorithm that the company developed that can ostensibly outperform a person at estimating a food’s calories. Using the algorithm, SnapCalorie both identifies the types of food in a photo and measures the portion size of each to estimate the caloric content.

The results can be logged in SnapCalorie’s food journal or exported to fitness-tracking platforms like Apple Health.

The algorithm’s reported strong performance comes from its unique training dataset of 5,000 meals, Norris says, which SnapCalorie created by taking thousands of photos of each meal — e.g. soups, burritos, oils, “mystery sauces” and more — using a robotic rig.

“We made sure these had all of the diverse and challenging conditions you’d see in the real world and we weighed out every single ingredient on a scale,” Norris said. “The traditional pipeline for training an AI model is to download public web images, have people label the images and then train the model to predict those labels. This isn’t possible for food, because people are very inaccurate at visually estimating portion size, so you can’t have people label the images after the fact.”

Norris admits that SnapCalorie’s algorithm may be biased toward American food, since the team collected most of the initial training data in the U.S. But the company is in the process of expanding the training data — drawing both on photos from SnapCalorie’s users and internal data — to include other cultural cuisines, he says.

One might argue that, no matter how accurate the algorithm, no app can give a truly accurate account of how many calories you ate in a meal. There’s a range of variables apps don’t consider, after all, like different cooking methods and the amount of time it takes to break down individual foods.

Norris doesn’t make the claim that SnapCalorie is 100% accurate, suggesting that the app’s calorie estimating tools should be considered simply a piece of the larger nutrition puzzle. He spotlighted SnapCalorie’s other major feature, a ChatGPT-powered chatbot, which gives meal suggestions informed by a user’s goals and past preferences, as well as SnapCalorie’s database of nutritional values.We’ve found that people’s interest in understanding what they’re putting in their bodies is on the rise. The negative health impacts of things like processed foods are becoming more and more clear every day,” Norris said. “We’ve heard that our users really like SnapCalorie especially when eating out, as many restaurants don’t post nutrition values, and they would otherwise have no way of logging the meal.”

To his point about popularity, SnapCalorie appears to be growing at a healthy clip — it’s on track to break 1,000 new users this month. The company’s focused on expansion at the moment as opposed to monetization, but Norris described the burn rate as “very conservative.”

“Our incredible organic growth rate seems to be indicative of our value proposition resonating well with consumers — people try it, love it and recommend it to their friends and family,” he said.

Netflix quietly axes its basic plan in Canada

Netflix has quietly killed the $9.99 CAD per month basic plan in Canada for new subscribers, as first noted by the Canadian publication BlogTo. This simplifies the streaming company’s offering but leaves a big gap between the ad-supported plan and the standard plan.

The company’s plans still start at $5.99 CAD per month with the recently introduced ad-supported plan, which offers most of the Netflix catalog with support for 1080p HD streaming. If users want to get rid of ads and enable downloads, they will have to shell out $16.99 CAD per month for the Standard plan.

As a reminder, the Basic plan offered ad-free streaming, but it was limited to 720p and one concurrent stream. People who are currently paying for the Basic plan will be able to continue with the plan till they cancel the account.

“The Basic plan is no longer available for new or rejoining members. If you are currently on the Basic plan, you can remain on this plan until you change plans or cancel your account,” the company said on its support pag

We have reached out to Netflix to understand if the company plans to make similar decisions in other markets, and we’ll update the story if the company comments on the matter. In the U.S., Netflix already hides the Basic plan when you try to create a new account. You have to click on “See all plans” to display it.

Here’s what it looks like in the U.S. (green arrows added for emphasis):

Canada was one of the first markets to get ad-supported plans last year followed by launches in other markets like the U.S., Australia, Japan and Korea. In April, Netflix bumped up the benefits of the ad-supported plan to enable Full HD streaming and support for two concurrent streams.

Last month, the company said that it has attracted more than 5 million users across the world for its ad-based plans. Notably, the streaming giant has yet to launch this tier in many countries. Analysts reports have estimated that Netflix will earn more than $1.9 billion in ad revenues next year. 

Telegram is adding Stories next month

Telegram is adding Stories next month

Telegram CEO Pavel Durov announced today that the messaging app is adding Stories in early July. Durov says users have been asking for the feature for years, noting that more than half of all feature requests that Telegram receives are related to Stories. The company was initially against adding Stories because they “are already everywhere,” but wanted to listen to its users, Durov says.

With Stories on Telegram, users will be able to decide who can see each of their stories. You can choose to have your Stories viewable by everyone, your contacts, a few selected contacts or a list of close friends. Stories will be placed in an expandable section at the top of your chat list. Users will be able to hide Stories posted by any contact by moving them to the “Hidden” list in their Contacts section instead of the main screen.

Users will have the option to add captions and links to their Stories. There’s also the option to tag other people in your Stories. Notably, you will be able to post photos and videos taken with the front and rear cameras simultaneously in a BeReal-like style.

In addition, you will be able to choose when your story expires. You can have it expire in six, 12, 24, or 48 hours. Or, you can permanently display Stories on your profile page in a way that’s similar to how Instagram lets you display Story highlights.

“The ability to save your stories to the profile page will make Telegram profiles more informative and colorful,” Durov wrote in his announcement post. “You will not only be able to explore more content from your closest contacts, but finally discover more information about users you connect with in groups or channel comments. Speaking of channels, they will benefit from more exposure and subscribers: once we launch the ability to repost messages from channels to stories, going viral on Telegram will become a lot easier.”

Durov says following internal tests of Stories, even the skeptics on the Telegram team started to appreciate the feature and that Telegram can no longer imagine the messaging service without it.

Stories are in their last testing phase and will become available in early July. Durov believes the feature will “herald a new era on Telegram” and will allow the platform to become more social than it currently is.

VentureKindred Ventures foresees a ‘massive explosion of startups’ courtesy of AIConnie Loizos

Venture

Kindred Ventures foresees a ‘massive explosion of startups’ courtesy of AI

Connie Loizos

Kindred Ventures' managing directors, Steve Jang and Kanyi Maqubela

Image Credits: Avery Wong Photography

Last week, we talked with Kindred Ventures, a small, nine-year-old, San Francisco-based early-stage venture firm that, despite investing in a lot of nascent startups — more than 100 to date — takes a generalist approach, investing in AI, climate tech, consumer internet companies, crypto deals, fintech startups, health startups, mobility startups and the outfits developing tools and infrastructure.

It’s a little like trying to boil the ocean. Still, the firm’s two managing directors — Steve Jang and Kanyi Maqubela — have had enough success that Kindred’s investors last year agreed to let them up the ante considerably. After closing a $56 million fund in 2019 and a $101 million fund in 2021, Kindred last year closed a $200 million fund, as well as a $112 million later-stage fund to back growth-stage companies in Kindred’s own portfolio and outside it. The capital more than doubled their assets under management, which is currently around $550 million, including some special purpose vehicles they have assembled along the way.

The appeal is understandable. Though the outfit’s biggest wins to date — Uber, Coinbase, Postmates — have come from an angel fund, Kindred has proven its ability to get into interesting deals. Indeed, among its newer bets is Humane, a buzzy, still-stealth startup founded by former Apple team Imran Chaudhri and Bethany Bongiorno that received a seed investment from Kindred, which then went on to lead the company’s $100 million Series C round in March.

We talked about a range of things with Jang and Maqubela, and we’ll have a podcast from that chat available soon; in the meantime, excerpted below is part of our discussion that centered on the future of startups, and whether the ongoing advancements in AI will mean more of them, or far fewer.

TechCrunch: Because people are so interested in all things AI right now, can you talk a bit about the companies that you have funded?

Steve Jang: We’ve focused a lot on frontier technology over time, and going after 10- to 20-years-story-arc companies. Humane is one of them. We’ve invested in a company called Hourone AI, which is a video AI company out of Tel Aviv in Israel. We’re early investors in Tonal, which has used a lot of computer vision and machine learning historically and is now upgrading a lot of what it’s doing in that area and bringing forward a lot of AI-related features. We have companies that are in robotics; we have companies in supply chains. They’re all tapping into the opportunity that they’re seeing, with not only generative AI but industrial AI, too.

On the generative AI front, there are these foundation model companies, as well as, right now, many more application layer companies, hardware companies, infrastructure and tooling companies. But over time, it’s still not clear to me whether we’ll have four companies in the world or four bazillion, given how empowering AI appears to be.

Kanyi Maqubela: Oh, gosh, there will be way, way, way more companies. It’s part of the trend of moving up the abstraction layer and allowing more people to become builders. It used to be the case that if [wanted] to build something, you needed to have a certain skill set, which was actually confined to a really reasonably small segment of the population. But that first wave of computing gave everybody superpowers and each subsequent wave since has only given further superpowers. And so what we’re now looking at — and you’re seeing this almost across the stack — is cardiologists that can interface with really complex large, real-time datasets and do really interesting manipulations of them without having to code. You’ve got designers that can design full-stack websites and full-stack platforms and applications on the web without having to code — and that’s just at the level of code. There are so many other ways that intelligence is compounding because of these systems, so I think there’s going to be a massive explosion of new startups that are enabled by the fact that we are now allowing more people to have access to more extremely sophisticated leveraged software tools.

Are you at all worried that this explosion could destroy the venture business? Where is the scale if everyone is capable of running their own company with these tools?

SJ: This question was asked a lot right around the time of AWS and iOS and Android. These three things were all launched [around the same time] and people wondered: does this mean that anyone can start a company? The ability to get started is much easier, which is good for society.

As for investors, the day of having pretty controlled access to startups and this phony network play in your favor — based on pedigree and brand — maybe that game has opened up. What we love about it is that it gets many more entrepreneurs into building their product ideas out, and I think that’s overall great. So I think for the old guard that might be problematic, but for the new guard of investors, whether it’s angel investors, small seed funds or large lead seed funds, this is great.

But if everyone has these super sophisticated new tools, doesn’t everything eventually become commoditized?

KM: We actually had a discussion about something similar last night. I guess the first thing to think about is: there are probably an infinite number of ways to customize information, particularly when it comes to media and content, and that customization actually results in extraordinary consumer surplus and extraordinary power for the end user. The ability to consume highly personalized content, to create highly personalized content, to have that content be flexible — applied across industry, by the way, so in healthcare and care coordination, communication, mental health, friendship, social networking — is really, really powerful.

The other thing that I think is worth noting is we are in a really interesting place right now. Steve mentioned a period of time when this amazing confluence of new platforms all came to market at the same time. Then there was a pretty long period after that, where we were all just sort of enjoying mobile and SaaS. Now, we’re going to need a new way of thinking about how business models get activated, new metrics and new benchmarking, and that’s really exciting, particularly for an early-stage investor who’s focusing on products and the starting point of innovation. But it is going to look different than the last cycle and that’s by design the same way that the mobile and SaaS were very different from the first internet cycle, which looked very different than the cycle before it

AIDatabricks picks up MosaicML, an OpenAI competitor, for $1.3B

AI

Databricks picks up MosaicML, an OpenAI competitor, for $1.3B

Investors aren’t the only ones who want to get their hands on hot tech companies in the field of AI: It’s also likely to spur a big wave of M&A, too. Today, Databricks announced it will pay $1.3 billion to acquire MosaicML, an open source startup with neural networks expertise that has built a platform for organizations to train large language models and deploy generative AI tools based on them.

Prior to this, MosaicML had raised just under $64 million from investors that included DCVC, AME Cloud Ventures, Lux, Frontline, Atlas, Playground Global and Samsung Next.

Notably, its last investor-round valuation was just $222 million — meaning it’s leaped 6x with this exit, a remarkable price that really does underscore just how frothy the AI market is right now, as well as the demand for talent and tech in the space.

Frothy, but only relatively speaking, considering that competitor OpenAI was valued at upwards of $40 billion in its last round from Microsoft. In that context, Databricks got a steal here.

The deal will see MosaicML become a part of the Databricks Lakehouse Platform, providing generative AI tooling alongside the Databricks’ existing multicloud offerings, which include integration, storage, processing, governance, sharing, analytics and AI-related services.

The world is abuzz these days about OpenAI, and specifically the potential for where to apply the generative AI that OpenAI has popularized and made very accessible. But inevitably the Microsoft-backed parent of ChatGPT is not working in a vacuum, and others are emerging and growing to capitalize on the surge of interest in the space.

MosaicML is no slouch in that regard. The penultimate version of its LLM, MPT-7B, has had 3.3 million downloads.

The key differentiators with Mosaic’s approach are two-fold. First, it’s open source. Second, it’s focused on organizations building their own LLMs based on their own data. The company said that its latest release, MPT-30B, “has showcased how organizations can quickly build and train their own state-of-the-art models using their data in a cost-effective way.”

Its customers include the Allen Institute for AI, Generally Intelligent, Hippocratic AI, Replit and Scatter Labs.

“Every organization should be able to benefit from the AI revolution with more control over how their data is used. Databricks and MosaicML have an incredible opportunity to democratize AI and make the Lakehouse the best place to build generative AI and LLMs,” said Ali Ghodsi, Databricks’ co-founder and CEO, in a statement. “Databricks and MosaicML’s shared vision, rooted in transparency and a history of open source contributions, will deliver value to our customers as they navigate the biggest computing revolution of our time.”

Databricks said that the entire MosaicML team will join Databricks after the deal closes — a retention deal that likely could be one reason for the large price tag here.

CEO and co-founder Naveen Rao, an Intel alum, will be part of the team staying on.

“At MosaicML, we believe in a world where everyone is empowered to build and train their own models, imbued with their own opinions and viewpoints — and joining forces with Databricks will help us make that belief a reality,” he said in a statement. “We started MosaicML to solve the hard engineering and research problems necessary to make large scale training more accessible to everyone. With the recent generative AI wave, this mission has taken center stage. Together with Databricks, we will tip the scales in the favor of many — and we’ll do it as kindred spirits: researchers turned entrepreneurs sharing a similar mission. We look forward to continuing this journey together with the AI community.”

There will likely be more M&A coming in this space. Databricks’ MosaicML news comes just one month after Snowflake, a sometimes competitor, made its own AI acquisition when it picked up Neeva, a startup that aimed to build out a new approach to search across consumer and enterprise using AI innovations. (The consumer part never took off, and Neeva sold up.)

Corrected with updated amount of fundraising and valuation, provided by MosaicML

Top 10 Exciting Mobile Tools and Applications for ChatGPT

Top 10 Exciting Mobile Tools and Applications for ChatGPT

Certainly! Here are the top 10 exciting mobile tools and applications that can enhance the capabilities and functionality of ChatGPT:

Dialogflow: Dialogflow is a powerful chatbot development platform by Google. It provides natural language processing capabilities and allows developers to build conversational interfaces for various platforms, including mobile.

TensorFlow Lite: TensorFlow Lite is a lightweight version of the popular TensorFlow framework optimized for mobile devices. It can be used to deploy machine learning models, including ChatGPT, on mobile platforms efficiently.

Flutter: Flutter is an open-source UI toolkit developed by Google, which enables developers to build native mobile applications for both Android and iOS platforms. It can be used to create engaging user interfaces for ChatGPT-based applications.

Firebase: Firebase is a comprehensive mobile development platform offered by Google. It provides various tools and services, such as real-time database, authentication, cloud messaging, and hosting, which can be utilized to enhance the functionality and performance of ChatGPT applications.

IBM Watson Assistant: IBM Watson Assistant is a powerful AI-powered chatbot platform that can be integrated with mobile applications. It offers advanced features like intent recognition, context management, and multilingual support, allowing developers to create intelligent conversational experiences.

Twilio: Twilio is a cloud communication platform that provides APIs for integrating voice, video, and messaging functionality into mobile applications. It can be utilized to enable ChatGPT to interact with users via voice or text messages.

DialogKit: DialogKit is a mobile UI framework by Facebook that allows developers to create interactive and dynamic conversational interfaces. It can be used to design visually appealing chat-based user experiences for ChatGPT-powered applications.

Wit.ai: Wit.ai, also owned by Facebook, is a natural language processing platform that offers tools for building chatbots and conversational agents. It provides a simple API for understanding and extracting information from user inputs, making it suitable for integrating with ChatGPT.

ChatGPT API: OpenAI's ChatGPT API allows developers to access the power of ChatGPT through a RESTful API. By integrating the API into mobile applications, you can leverage the conversational capabilities of ChatGPT and build personalized chatbot experiences.

Mobile SDKs: OpenAI provides software development kits (SDKs) for both Android and iOS platforms, enabling seamless integration of ChatGPT into mobile applications. These SDKs offer easy-to-use interfaces for interacting with ChatGPT models and can be customized to suit specific application requirements.

These tools and applications provide a range of capabilities for building mobile chatbot applications powered by ChatGPT, enhancing user experiences and enabling intelligent conversations on the go.

Latest Laptop Tech 2023

Letest technology in laptops in 2023

As an AI language model, I don't have real-time information, but I can provide you with an overview of some of the latest technologies in laptops that were emerging in 2021. Please note that advancements in technology can occur rapidly, and there may be even newer developments since my last knowledge update in September 2021.

Powerful Processors: Laptop manufacturers are incorporating the latest generation of processors, such as Intel's 11th Gen Core processors or AMD Ryzen 5000 series, offering improved performance and efficiency.

Enhanced Graphics: Laptops are featuring more powerful and efficient dedicated graphics cards, like Nvidia's RTX 30 series or AMD Radeon RX 6000 series, for better gaming and multimedia experiences.

Higher Refresh Rate Displays: Some laptops are now adopting high-refresh-rate displays, with refresh rates of 120Hz, 144Hz, or even 240Hz, providing smoother visuals and reduced motion blur, particularly beneficial for gaming.

OLED and Mini-LED Displays: OLED panels offer deep blacks and vibrant colors with excellent contrast ratios. Mini-LED technology provides improved backlighting for LCD panels, enhancing contrast and brightness levels.

Thinner Bezels: Laptops are reducing bezel sizes to achieve a higher screen-to-body ratio, resulting in more compact and portable designs.

Advanced Cooling Solutions: Manufacturers are implementing improved cooling systems, such as vapor chambers, liquid metal thermal compounds, or more efficient fan designs, to maintain optimal performance and prevent overheating.

Increased Battery Life: Efforts are being made to enhance battery life through more power-efficient components and optimizations in operating systems, allowing users to work or play for longer periods without needing to recharge.

Thunderbolt 4 and USB4: These connectivity standards provide faster data transfer speeds, improved power delivery, and the ability to connect multiple peripherals using a single port.

 Laptops are starting to adopt the Wi-Fi 6E standard, which operates in the 6GHz frequency range, offering higher speeds, lower latency, and reduced interference in dense network environments.

Enhanced Security Features: Laptops may incorporate advanced security features such as facial recognition, fingerprint scanners, and secure hardware-based encryption to protect user data.

It's important to note that the laptop market evolves quickly, and new technologies emerge regularly. For the most up-to-date information, it's recommended to check the latest releases and specifications from laptop manufacturers.

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The 10 best ChatGPT Plugins you can use right now

The 10 best ChatGPT Plugins you can use right now

As an AI language model, I don't have access to real-time information or the ability to provide specific rankings or endorsements for plugins or tools. However, I can suggest some popular plugins and integrations that have been widely used with ChatGPT models. Please note that availability and popularity of plugins may vary over time. Here are some notable plugins that have been used with AI language models like ChatGPT:

Hugging Face Transformers: The Hugging Face Transformers library is widely used for natural language processing (NLP) tasks. It provides a collection of pre-trained models and a convenient API for working with transformer-based models, including GPT models.

OpenAI Playground: OpenAI Playground is a web-based interface provided by OpenAI that allows you to interact with GPT models in a user-friendly environment. It provides a convenient way to experiment and generate text prompts.

OpenAI Python Client: The OpenAI Python Client is an official Python library provided by OpenAI that allows you to integrate and interact with GPT models programmatically. It simplifies the process of making API calls and handling responses.

OpenAI Cookbook: The OpenAI Cookbook is a collection of guides and examples created by the OpenAI community. It provides helpful code snippets and examples for various use cases and tasks involving GPT models.

ChatGPT API Wrapper Libraries: Several community-developed Python libraries and wrappers have been created to simplify the interaction with the ChatGPT API. These libraries often provide additional functionality and convenience methods to make API requests.

Discord ChatGPT Integration: There are plugins and bots available that allow you to integrate ChatGPT with Discord, a popular messaging and community platform. These integrations enable you to have interactive conversations with the model within Discord servers.

Slack ChatGPT Integration: Similar to Discord, there are plugins and bots that enable integration with Slack, a widely used communication and collaboration platform. These integrations allow you to interact with ChatGPT within Slack channels.

Telegram ChatGPT Integration: Telegram offers bot integrations that allow you to create interactive conversational experiences using ChatGPT. These integrations can be used to build AI-powered chatbots on the Telegram platform.

Voice Assistants and Text-to-Speech Plugins: Various voice assistants and text-to-speech plugins can be used in conjunction with ChatGPT to create voice-enabled conversational experiences. These plugins enable the model to generate spoken responses.

Custom UI/UX Frameworks: If you want to create a custom user interface or user experience for your ChatGPT application, you can explore popular frontend frameworks like React, Angular, or Vue.js. These frameworks can be used to build interactive web-based interfaces for ChatGPT.

It's important to note that while these plugins and integrations can enhance the capabilities and usability of ChatGPT, they are not officially endorsed or supported by OpenAI. Always review the documentation and terms of service for each plugin or integration to ensure they meet your requirements and align with OpenAI's guidelines.

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Google announced the general availability of generative AI services based on Vertex AI

Google announced the general availability of generative AI services based on Vertex AI, the machine learning platform as a service (ML PaaS) offering from Google Cloud. With the service becoming generally available, enterprises and organizations could integrate the platform’s capabilities with their applications.With this update, developers can use several new tools and models, such as the word completion model driven by PaLM 2, the Embeddings API for text and other foundation models in the Model Garden. They can also leverage the tools available within the Generative AI Studio to fine-tune and deploy customized models. Google claims that enterprise-grade data governance, security and safety features are also built into the Vertex AI platform. This provides confidence to customers in consuming the foundation models, customizing them with their own data and building generative AI applications.Customers can use the Model Garden to access and evaluate base models from Google and its partners. There are over 60 models, with plans for adding newer models in the future. Also, the Codey model for code completion, code generation and chat, announced at the Google I/O conference in May, is now available for public preview.

Vertex AI gives builders a full set of tools to help them tune, launch and manage models in production. For example, it was the first enterprise-grade ML PaaS to offer Reinforcement Learning with Human Feedback (RLHF) in May. This service leverages human feedback to improve the accuracy of fine-tuned models trained with custom datasets. With Generative AI Studio becoming generally available, customers can use a wider range of tools, such as multiple tuning methods for large models, to build custom generative AI applications much faster.Google also announced case studies and evidence of customers utilizing its generative AI platform. GA Telesis is using the PaLM model on Vertex AI to build a data extraction system that uses email orders to create quotes for customers automatically. GitLab’s ‘Explain this Vulnerability’ feature uses the Codey model on Vertex AI. This capability gives developers a natural language description of code flaws and suggestions for how to fix them. Canva, the online design tool, helps its users who don’t speak English by using Google Cloud’s generative AI to translate languages. It is also trying ways to use PaLM technology to turn short video clips into longer, more interesting stories. Vertex AI is also being used by companies like Typeface and DataStax to build new tools for generative AI.

In other news, Google has also made Enterprise Search on Generative AI App Builder (Gen App Builder) easier to use. This means that companies can use generative AI and Google’s semantic search technologies to make their own chatbots and search engines. The Gen App Builder has out-of-the-box starter kits for popular use cases of generative AI.Google assures customers that with Vertex AI and Gen App Builder, their data remains under their full control and will not leave their tenant. The data is safeguarded during transit and while at rest, and Google will not share it or use it for training its models. Google tests its new models carefully to ensure they meet its Responsible AI Principles, and all of its generative AI services include the user security, data management and access controls that Google Cloud customers have come to expect.

Cloud providers are competing in the field of Generative AI, which allows for the creation of new content using machine learning. This gives customers the option to choose from multiple platforms.Microsoft is positioning itself as a leader in this area by partnering with OpenAI and making significant investments. With Google announcing the general availability of its own generative AI platform, customers get the choice to choose the best option for their specific business needs.

How to use SEO education for stakeholder management

Use SEO Education for Stakeholder Management

Using SEO education for stakeholder management involves leveraging your knowledge of search engine optimization to communicate and collaborate effectively with stakeholders. Here's a step-by-step guide on how to do it:

Understand Stakeholder Needs: Identify the key stakeholders involved in your SEO efforts. This could include clients, executives, marketing teams, content creators, and developers. Understand their goals, concerns, and expectations regarding SEO.

Translate Technical Concepts: SEO involves technical terminology and concepts that may be unfamiliar to stakeholders. Break down complex SEO concepts into simple, relatable terms that stakeholders can understand. Use analogies and real-world examples to explain the impact of SEO on their goals.

Share SEO Best Practices: Educate stakeholders on the fundamentals of SEO, such as keyword research, on-page optimization, content creation, link building, and technical SEO. Provide resources like articles, guides, or training sessions to help stakeholders grasp these concepts.

Demonstrate ROI: Show stakeholders the value of SEO by highlighting its impact on key performance indicators (KPIs) such as organic traffic, search engine rankings, conversion rates, and revenue. Use data and analytics tools to track and report on SEO performance, providing clear evidence of its effectiveness.

Align SEO with Stakeholder Objectives: Identify how SEO aligns with stakeholders' goals and objectives. For example, explain how improved search visibility can increase brand awareness, drive more qualified leads, or enhance online reputation. Tailor your SEO education to highlight these benefits.

Provide Regular Updates: Keep stakeholders informed about SEO progress and changes in search engine algorithms. Share updates on keyword rankings, organic traffic growth, and any optimizations made. Regularly communicate the impact of SEO on stakeholder goals to maintain their engagement and trust.

Collaborate and Seek Input: Involve stakeholders in the SEO process by seeking their input and feedback. Engage them in discussions on keyword targeting, content topics, and website optimizations. Show that their opinions are valued and integrated into the SEO strategy.

Address Concerns and Challenges: Anticipate and address any concerns or objections stakeholders may have about SEO. Be prepared to explain the potential risks, limitations, and timeframes associated with SEO efforts. Provide solutions and alternative strategies to mitigate these concerns.

Foster a Culture of SEO Awareness: Encourage stakeholders to incorporate SEO considerations into their respective roles. Emphasize the importance of creating search engine-friendly content, optimizing website structure, and following SEO guidelines. Offer ongoing training and support to stakeholders to promote SEO awareness across the organization.

Measure and Report Progress: Continuously measure and report on SEO performance to stakeholders. Use SEO analytics tools to generate reports that demonstrate progress toward goals and the impact of SEO efforts. Regularly communicate the results, lessons learned, and future plans to maintain stakeholder support.

By combining your SEO knowledge with effective stakeholder management techniques, you can educate and engage stakeholders, align their objectives with SEO goals, and foster a collaborative environment that supports successful SEO initiatives