Technology
Google Pixel 9 Pro XL vs Huawei Pura 70 Ultra
Both Google and Huawei have rather compelling flagship smartphones available at the moment. In this article, we’ll compare them, the Google Pixel 9 Pro XL vs Huawei Pura 70 Ultra. Google’s handset arrived back in August, while Huawei announced its phone in April. These two phones are immensely different. Not only are they different from the design and in-hand feel standpoint, but the internals are also different, and the software too.
The main difference in terms of software is the fact that Huawei’s phone doesn’t have support for Google services. Yes, the launcher is different, as is on any other phone, but it’s still Android… just without Google services. In other words, there’s no Play Store here, and you won’t be able to use Google apps unless you jump through certain hoops. If you’re okay with that, and you’re still interested… let’s get to it.
Specs
Google Pixel 9 Pro XL vs Huawei Pura 70 Ultra, respectively
– Screen size:
6.8-inch QHD+ OLED (flat, adaptive 120Hz, HDR, 3,000 nits)
6.8-inch LTPO OLED display (flat, adaptive 120Hz, HDR, 2,500 nits max brightness)
– Display resolution:
2992 x 1344
2844 x 1260
– SoC:
Google Tensor G4
Huawei Kirin 9010
– RAM:
16GB (LPDDR5X)
– Storage:
128GB/256GB/512GB/1TB (UFS 3.1)
512GB/1TB (UFS 4.0)
– Rear cameras:
50MP (wide, f/1.7 aperture, 1.2um pixel size, OIS, EIS), 48MP (ultrawide, f/1.7 aperture, 123-degree FoV), 48MP (periscope telephoto, f/2.8 aperture, OIS, EIS, 5x optical zoom)
50MP (f/1.6-f/4.0 variable aperture, 23mm lens, 1-inch type sensor, sensor-shift OIS, PDAF, retractable lens), 40MP (ultrawide, f/2.2 aperture, 13mm lens), 50MP (telemacro, f/2.1 aperture, 90mm lens, 3.5x optical zoom, OIS, PDAF, 5cm macro)
– Front cameras:
42MP (f/2.2 aperture)
13MP (wide, f/2.4 aperture, autofocus)
– Battery:
5,060mAh
5,200mAh
– Charging:
37W wired, 23W wireless (Pixel Stand), 12W Qi wireless, 5W reverse wireless (no charger)
100W wired, 80W wireless, 20W reverse wireless, 18W reverse wired (charger included)
– Dimensions:
162.8 x 76.6 x 8.5 mm
162.6 x 75.1 x 8.4mm
– Weight:
221 grams
226 grams
– Connectivity:
5G, LTE, NFC, Wi-Fi, USB Type-C, Bluetooth 5.3/5.2
– Security:
Ultrasonic in-display fingerprint scanner & facial scanning
In-display fingerprint scanner & facial scanning
– OS:
Android 14
Android 12 with EMUI 14
– Price:
$1,099+
€1,499+
– Buy:
Pixel 9 Pro XL (Best Buy, Google Store)
Huawei Pura 70 Ultra (Amazon)
Google Pixel 9 Pro XL vs Huawei Pura 70 Ultra: Design
The Google Pixel 9 Pro XL is made out of metal and glass. Huawei’s phone, on the flip side, is made out of metal and eco-leather. Because of that backplate, the Huawei Pura 70 Ultra is a lot less slippery device in comparison. The in-hand feel is considerably different too, not only because of the materials but the shapes of the two phones. The Pixel 9 Pro XL has flat sides all around, while the frame on the sides is rounded on the Huawei Pura 70 Ultra.
Also, the Pixel 9 Pro XL has flat front and back sides, including the flat display, of course. The Huawei Pura 70 Ultra has a quad micro curved display, and the same goes for its backplate. In other words, the display is flat, but it does curve slightly towards the edges. The same goes for its backplate. That makes the phone immensely comfortable to hold and use, in combination with a soft-touch back, of course.
The power/lock button and volume up and down keys are located on the right-hand side of both smartphones. The position is different, however. The power/lock button is placed above the volume buttons on the Pixel 9 Pro XL. It’s the other way around on the Huawei Pura 70 Ultra. Their camera islands are also notably different. The Pixel 9 Pro XL has a pill-shaped camera island, which is horizontally laid out on the back. Huawei’s phone has a rather oddly-shaped camera island in the top-left corner, it sure does look unique.
Both phones include a display camera hole which is centered, though the one on Google’s phone is placed a bit lower. The bezels are immensely thin on both phones and also uniform. They have the same display sizes and essentially have the same height, but the Pixel 9 Pro XL is a bit wider. They have almost identical thicknesses. Google’s phone is 5 grams lighter, though. You’re also getting an IP68 certification on both of these smartphones, for peace of mind.
Google Pixel 9 Pro XL vs Huawei Pura 70 Ultra: Display
The Google Pixel 9 Pro XL features a 6.8-inch 2992 x 1344 LTPO OLED display. That panel is flat, and it offers an adaptive refresh rate (1-120Hz). HDR10+ content is supported, while the peak brightness sits at 3,000 nits. The display aspect ratio is 20:9, while the screen-to-body ratio is at around 88%. This display is protected by the Gorilla Glass Victus 2 from Corning.
The Huawei Pura 70 Ultra, on the flip side, has a 6.8-inch panel as well, an LTPO OLED display. That display is also flat, and it can project up to 1 billion colors. HDR content is supported, while the refresh rate is adaptive (1-120Hz). The peak brightness is 2,500 nits, and the screen-tobody ratio is around 89%. This display is protected by the Kunlun Glass (Basalt-tempered).
Both of these displays are great. They’re both vivid, sharp, and have great viewing angles. Both displays also get more than bright enough when you need them too. The touch response is also good on both of them. The Huawei Pura 70 Ultra’s display does support high-frequency PWM dimming, if that’s something you care about, it has the edge over the Pixel 9 Pro XL’s display in that regard. The vast majority of you will be happy with either of these two displays, though.
Google Pixel 9 Pro XL vs Huawei Pura 70 Ultra: Performance
The Google Tensor G4 fuels the Pixel 9 Pro XL. That is Google’s very own 4nm processor. The company also included 16GB of LPDDR5X RAM inside of this smartphone. UFS 3.1 flash storage is also included in the package, though it’s not expandable. The Google Pixel 9 Pro XL, on the other hand, is fueled by the Kirin 9010 chip from Huawei, that is a 7nm processor. The phone also includes 16GB of LPDDR5X RAM and UFS 4.0 flash storage.
Looking at their processors, the Pixel 9 Pro XL does have the upper hand. Huawei was quite limited in terms of processor use due to US sanctions. It had to create its own with SMIC in order to be able to use 5G. That chip works really well inside the Huawei Pura 70 Ultra, as long as you’re not planning on playing the most demanding games out there. We’ve experienced excellent performance from both of these phones in day-to-day use.
Neither phone is made to play games, however. The most demanding games will make them both sweat, while those simpler and mid-range games can be easily played on both smartphones. If you are planning on playing a lot of demanding games, however, we’d recommend getting some other phone. In general, however, they both offer really good performance.
Google Pixel 9 Pro XL vs Huawei Pura 70 Ultra: Battery
A 5,060mAh battery sits inside the Google Pixel 9 Pro XL. The Huawei Pura 70 Ultra, on the other hand, has a 5,200mAh battery. Google’s phone technically has a more power efficient chip. The Huawei Pura 70 Ultra has a larger battery. In the end, the battery life is somewhat balanced between these two phones, at least from what we’ve seen. Both of them actually offer really good battery life.
It is possible to get over 7 hours of screen-on-time on these phones, consistently. Do note that we used both phones quite a bit on those days, but gaming was not included in the equation. Also, using the camera a ton will affect battery life quite a bit, as will other processor-intensive tasks. Overall, though, both phones managed to last quite some time, and the standby time was not that bad either, especially on the Pixel 9 Pro XL.
The Huawei Pura 70 Ultra completely shames the Pixel 9 Pro XL in the charging department, though. Huawei’s flagship supports 100W wired, 80W wireless, 20W reverse wireless, and 18W reverse wired charging. The Pixel 9 Pro XL supports 37W wired, 23W wireless (with Pixel Stand), 12W wireless (Qi charging), and 5W reverse wireless charging. The Huawei Pura 70 Ultra also comes with a charger, while the Pixel 9 Pro XL does not.
Google Pixel 9 Pro XL vs Huawei Pura 70 Ultra: Cameras
Both of these devices have three cameras on the back, though they are different, of course. The Pixel 9 Pro XL features a 50-megapixel main camera (1/1.31-inch sensor), a 48-megapixel ultrawide unit (123-degree FoV), and a 48-megapixel periscope telephoto camera (1/2.55-inch sensor, 5x optical zoom). The Huawei Pura 70 Ultra includes a 50-megapixel main camera (1-inch type sensor, f/1.6-4.0 aperture, retractable lens), a 40-megapixel ultrawide unit, and a 50-megapixel periscope telephoto camera (3.5x optical zoom, 5cm macro).
The Huawei Pura 70 Ultra does have a notable advantage in main and periscope telephoto camera hardware. That shows in images, actually, as soon as you take a closer look at them. Both phones do a great job with photos, no doubt about that, but if you zoom in, and take a closer look, the Huawei Pura 70 Ultra will likely impress you more. Huawei’s phone leans more towards warmer colors, while the Pixel 9 Pro XL does the opposite.
Both smartphones do a great job in low light too, though the low light images from the Pixel 9 Pro XL tend to look even too bright at times. The Pura 70 Ultra does a better job of making them belong, kind of. It’s all a matter of preference, though. Google does have a much better suite of AI features to offer, that goes for AI camera features as well. Both ultrawide cameras do a good job, though we were more impressed with the Pixel’s.
Audio
You will find stereo speakers on both of these smartphones. The ones on the Pixel 9 Pro XL are notably louder, though. That becomes very obvious when you play them side by side. The output quality is good either way, though.
There is no audio jack to speak of here, on either phone. You can always hook up your headphones via the Type-C port that both phones offer, though. Alternatively, the Pixel 9 Pro XL and Huawei Pura 70 Ultra offer Bluetooth 5.3 and Bluetooth 5.2, respectively.
Driverless cars can now do doughnuts and drift like stunt drivers, skidding sideways around corners while maintaining control, which might help the cars recover from dangerous situations
Google’s focus on Android safety and security has been pretty evident this year. From partial screen recording and private spaces to protection against juice jacking attacks, Android 15 has been quite a reassuring iteration.
Google is now injecting some more energy into that endeavor with a couple of new features that tackle the threat of scam calls and bad apps. These features are appearing first on Pixel smartphones, and will subsequently make their way to other Android phones.
First in line is Google Play Protect live threat detection, which shows real-time alerts for apps that pose a threat. “Play Protect analyzes behavioral signals related to the use of sensitive permissions and interactions with other apps and services,” says Google.
The latest upgrade allows the system to send an alert as soon as it detects that an app is engaged in unusual activities. This notice will help users take necessary action, such as revoking access or uninstalling it, before a malicious app package does more damage.
The entire risk evaluation process relies on Android’s Private Compute Core, a safe processing environment that pushes for on-device analysis. Real-time alerts, originating from activity analysis, will initially focus on apps engaged in stalking behavior, and will soon expand to other types of harmful apps.
Next, we have enhanced scam detection for calls. Once again, this is an on-device system, one that relies on AI to look for signs of suspicious behavior, such as a scammer asking for money or a code transfer.
“If a caller claims to be from your bank and asks you to urgently transfer funds due to an alleged account breach, Scam Detection will process the call to determine whether the call is likely spam,” explains Google. This feature is now available to users in the U.S. as part of a phase testing program.
Less than a month ago, Google announced enhanced scam detection for the Messages app, with the intent of preventing fraudulent and package delivery scams. As far as call scam detection goes, it’s an opt-in feature.
It will be set to “off” by default, and only when users enable it, will the AI be able to do its job. The AI in question here is the Gemini Nano model, which is running locally on Pixel 9 series phones. However, it will expand to the Pixel 6 series, as well as all the subsequent models.
The OnePlus 13 launched last month in China with some amazing features. As we await the global launch, the device was recently spotted on multiple certification sites. Another smartphone that OnePlus will soon debut in the global market is the OnePlus 13R. Previously, rumors have hinted that it could be a rebrand of the OnePlus Ace 5. Now, a tipster has detailed the colors and variants of the OnePlus 13 and 13R ahead of the global launch.
The color options of the OnePlus 13 and 13R surfaced online ahead of the global launch
The OnePlus 13 is likely to launch with similar specs in the global market as well. OnePlus debuted three different variants of the OnePlus 13 in China with 12GB, 16GB, and 24GB RAM options. Today, in a post on X, the tipster (@MysteryLupin) hinted that won’t be the case with global models.
The tipster mentioned that the OnePlus 13 will debut globally with only two variants. You’re likely to see one variant with 16GB of RAM paired with 512GB of storage, while the other will feature 12GB of RAM and 256GB of storage. That also means OnePlus wouldn’t launch the 24GB RAM variant of the OnePlus 13 in the global market.
Apart from these details, the tipster has also detailed the colors of the OnePlus 13 ahead of the global launch. If we consider the tipster’s words, the 16GB RAM variant of the OnePlus 13 will be available in Black Eclipse, Midnight Ocean, and Arctic Dawn color options. On the other hand, the base variant with 12GB of RAM will come in a single Black Eclipse color option.
OnePlus 13R could be a premium mid-range phone
The tipster has also shared some details about the upcoming OnePlus 13R. According to the tipster’s post, OnePlus will globally launch the OnePlus 13R in only one variant variant featuring 12GB of RAM and 256GB of storage. However, that model might be available in two color options – Nebula Noir and Astral Trail.
In the past, a popular Weibo tipster hinted that the OnePlus 13R could be a mid-range device with premium features. Moreover, the tipster has also hinted that the device would pack the Snapdragon 8 Elite SoC under the hood.
The latest Alteryx platform update provides new capabilities to support all types of data management and analytics system deployments, whether in the cloud, on premises or a hybrid of both.
Included in the vendor’s Fall 2024 Release are the general availability of Standard Mode, a channel in Designer Cloud that provides new data integration and preparation capabilities for working with data in the cloud, and LiveQuery, a feature that improves integrations with cloud data warehouses.
In addition, Alteryx’s update, unveiled on Nov. 12, includes new connectors to data storage platforms, support for analytics applications, whether on premises or in the cloud and improvements to APIs designed to improve efficiency.
Not included are the general availability of any significant new AI capabilities, which Alteryx tends to unveil separately from its general platform updates. For example, the vendor introduced its version of a generative-AI-powered assistant in May. However, one AI-related feature included in the Fall 2024 release now in public preview is Magic Reports, which uses AI to automatically generate insights.
Without any generally available AI features with the potential to change the way Alteryx customers interact with their analytics systems, the vendor’s Fall 2024 Release is made up of additive but not groundbreaking capabilities, according to Doug Henschen, an analyst at Constellation Research.
“The update is delivering mostly incremental improvements such as new connectors, app and user management upgrades and API enhancements,” he said.
While perhaps incremental, the update is providing customers with what they want, according to Jay Henderson, Alteryx’s senior vice president product management.
For example, adding new connectors and improved APIs was driven by customer feedback.
“We’re continuing to prioritize functionality that makes the analytics user’s life easier, and their work more efficient,” Henderson said. “By combining customer-driven product features with cloud advancements, Alteryx is [meeting the] needs of our customers.”
Based in Irvine, Calif., Alteryx is a longtime data management vendor whose platform is designed to automate aspects of the data preparation process.
In December 2023, following a slow evolution to the cloud that led to an executive overhaul in 2022, Alteryx agreed to be acquired by a group of private equity firms for $.4 billion.
Platform update
Standard Mode and LiveQuery are perhaps the most significant features in the latest Alteryx platform update, according to Henschen.
Designer Cloud is Alteryx’s cloud-based environment for data preparation, blending and analytics without writing code. Standard Mode is a new channel within Designer Cloud that contains added Designer Prep and Blend tools that broaden their potential applications beyond what was available and make it more efficient to work with data in the cloud.
LiveQuery, meanwhile, aims to improve Alteryx’s interoperability with cloud data warehouses such as Databricks and Snowflake by enabling users to work with data within cloud-based storage tools more directly. The intended results include reduced data egress costs, improved processing times and a lower risk of accidental data exposure.
“Taken together, the general availability of the new Standard Mode inside Designer Cloud and the LiveQuery capability for cloud data warehouses will be significant for any company that has its center of data gravity in a public cloud or multiple clouds,” Henschen said.
Like Henschen, Kevin Petrie, an analyst at BARC U.S., characterized Alteryx’s Fall 2024 Release as an incremental update. However, he noted that including the public preview of Magic Reports is noteworthy because data and AI teams now view AI-powered tools and enhancements as required features.
Magic Reports combines advanced editing capabilities with automated analysis and AI to automatically surface insights and simplify reporting.
Petrie noted that BARC research shows that enterprises are optimistic about generative AI’s potential with nearly half of them reporting that generative AI will dramatically improve their use of analytics.
Magic Reports feeds into the concept of AI simplifying and improving the analytics process.
“Alteryx is helping [data] stakeholders by providing them with AI prompts and auto-summarization of Magic Reports,” Petrie said.
In addition, Petrie pointed out the value of integrating more smoothly with cloud data warehouses including Databricks and Snowflake with LiveQuery.
“Alteryx is wise to integrate more deeply with Snowflake and Databricks,” he said. “The more they can help users transform and view data within those platforms, the better they can safeguard governance controls and reduce costs.”
Beyond Standard Mode, LiveQuery and Magic Reports, the latest Alteryx update includes the following:
- New connectors, including support for Google Cloud Storage and SingleStore, to enable customers to access their data more easily.
- Support for analytics applications in Alteryx Cloud Extension for Desktop, which allows AWS, Google Cloud and Microsoft Azure users to deploy and manage custom applications both on premises and in the cloud.
- New security controls for administrators.
- API improvements that let administrators schedule analytics workloads and retrieve jobs in a move designed to improve efficiency.
Collectively, almost three years after Alteryx overhauled its executive suite, the new features continue Alteryx’s evolution away from serving only on-premises users to meeting the needs of customers with different types of deployments, according to Petrie.
“Alteryx’s recent turnover does show they have struggled lately,” he said. “This [update] helps by making their platform more automated and intuitive, which builds on its strengths.”
However, Petrie noted that customers still express concern over the price of using Alteryx’s data management and analytics tools — Designer Cloud starts at $4,950 per user, per year — and the level of its support for Python, a popular programming language.
“I’d be interested to see them provide more visibility into processing cost with, for example, FinOps features and enhancements to support Python-oriented users,” Petrie said.
Henschen, meanwhile, noted that Alteryx’s presentation of its latest data management and analytics capabilities — highlighting its support for different deployment types — is notable.
Alteryx was founded in 1997, before the advent of the cloud. When data management and analytics shifted from exclusively on premises to cloud-based deployments, Alteryx was slow to adapt its data preparation platform for the cloud. Meanwhile, as it was evolving, other vendors such as Tableau and Qlik began offering data preparation tools in addition to their core analytics capabilities.
As a result, Alteryx lost some of its growth momentum, evidenced by modest revenue growth preceding its sale.
Now, however, as the cost of cloud-based deployments continues to grow, many organizations are reconsidering their data management and analytics strategies. Alteryx’s messaging suggests it’s trying to appeal to those enterprises.
“Alteryx had been struggling to become more cloud-centric and to deliver more value to justify new and existing licenses,” Henschen said. “Like many vendors with on-premises roots, Alteryx is … now reminding customers that it supports hybrid deployments, seeking to ride the coattails of the cloud-cost backlash we’ve seen over the last year.”
Plans
With its Fall 2024 Release now available, Alteryx’s product development plans include adding more AI-powered data management and analytics features and continuing to add cloud and hybrid capabilities, according to Henderson.
“We’re committed to making analytics easier to adopt and use, enhancing AI-assisted functionality to improve productivity and providing cloud-based features that are both powerful and secure,” he said.
In addition, Alteryx’s roadmap includes improving the user experience to enable faster and more efficient insight generation and adding new governance and security features that meet the needs of Alteryx’s largest and most complex customers, Henderson continued.
Henschen, meanwhile, stressed that Alteryx needs to continue working to discover messaging that will attract new customers and help the vendor regain the growth momentum it lost during its slow transition to the cloud, which didn’t begin until 2021.
If it doesn’t, the vendor could be a target for a merger or acquisition.
“The company needs to find a clear new direction to regain the sales growth momentum it once enjoyed,” Henschen said. “However, the competition is fierce, and budgets are tight, so we’re likely to see consolidation in the market overall.”
Eric Avidon is a senior news writer for TechTarget Editorial and a journalist with more than 25 years of experience. He covers analytics and data management.
Amazon and PBS have entered a partnership that will bring content from the public media operation to Prime Video. More than 150 local PBS channels and the PBS Kids Channel will launch as a free ad-supported TV (or FAST) offering on Prime Video over the coming months. The from PBS noted that this is the first time this collection of programming will be available on a major streaming service for free.
PBS Distribution is also launching two new FAST channels that will be available exclusively on Prime Video for a limited time beginning November 26. These channels are PBS Drama and PBS Documentaries. It seems Amazon is looking to focus on a lineup of FAST channels within Prime Video for free viewing, since the company announced that it is .
Having yet another place to watch public media content is a happy development for PBS fans. The broadcaster recently launched a FAST channel with Roku called PBS Retro, specifically with shows from the 1980s and 1990s for those of us who want to dive into a little nostalgic escapism.
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At this year’s annual BUILD conference, data architecture giant Snowflake went all in to give its customers advanced capabilities, including some long-previewed features, to easily mobilize their datasets to build and share powerful AI applications.
The company debuted new tools for Cortex AI, its fully managed offering for developing conversational AI apps grounded in enterprise data hosted on its platform.
It also announced Snowflake Intelligence, enabling users to create ‘data agents’ that could not only answer questions related to structured (organized in tables) and unstructured data (PDFs, documents, etc.) on the platform but also take action across third-party platforms like Salesforce and Google Workspace using the generated answers.
Below is a rundown of all major announcements:
Cortex AI enhancements
Ever since its introduction last year, Cortex AI has been receiving regular updates from Snowflake to simplify how developers create and run AI apps.
At BUILD, Snowflake continued to bolster this offering with new multimodal input support for apps in development, managed connectors to integrate internal knowledge bases to the apps, and knowledge extensions to tie third-party documents, like news articles, to the services.
The company also announced Cortex Chat API combining structured and unstructured data into a single REST API call for fast-tracked RAG and agentic app development; observability for the developed AI apps (building on the TruEra acquisition); and support for SQL Joins and multi-turn conversations in Cortex Analyst to unlock richer insights from structured data.
Snowflake Intelligence
Using the enhancements to Cortex AI, including integration with internal knowledge bases, the company announced Snowflake Intelligence, a unified platform enterprises users can use to build ‘data agents’. T
The agents will use Snowflake-hosted business intelligence data as well as that connected via third-party platforms to provide users with instant answers to their business questions.
Further, once the insights are produced, the users can ask the same agent to act on them across integrated third-party tools.
This could involve a wide range of tasks across third party apps, from automatically and autonomously creating an editable form in Google Workspace using the generated insights to modifying an entry in Salesforce CRM.
Open Catalog, Document AI enhancements
Back in June, during its flagship summit, Snowflake and its industry partners unveiled Polaris as a vendor-neutral catalog implementation for indexing and organizing data conforming to the Apache Iceberg table format.
The offering has since been open-sourced and donated to the Apache Foundation. At BUILD, the company took a step ahead and debuted a fully managed, hosted version of the catalog called Snowflake Open Catalog. T
Now generally available, Polaris helps enterprises grow and evolve by integrating new engines and applying consistent governance controls.
In addition, Snowflake also announced the general availability of Document AI, the product it offers to let users extract data from unstructured documents like invoices, on AWS and Microsoft Azure.
Threat prevention and security monitoring
In light of the recent customer data breach, Snowflake has taken multiple steps to bolster the security of its users, including enforcing multi-factor authentication by default.
At BUILD, the company continued this work with the introduction of Leaked Password Protection, a capability that will automatically detect and notify customers if their Snowflake credentials have been exposed on the dark web (much like Google).
According to Christian Kleinerman, the EVP of product at Snowflake, the company may even go and disable the accounts with compromised credentials for account protection.
In addition to this, Snowflake announced a new Threat Intelligence Scanner Package for its Trust Center, the place where users see how well their accounts are configured.
The feature will provide users with a risky user view, giving them the ability to detect when a potentially risky user is active along with the best steps to deal with the situation.
Snowflake’s Trust Center is also getting extensibility, which will enable third-party partners to leverage Snowflake’s native app framework and add additional checks and assessments to the dashboard.
Snowflake BUILD runs from November 12 to November 15, 2024.
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