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Microsoft Discloses AI Copilot Development Learnings

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Microsoft Discloses AI Copilot Development Learnings

An extensive investigation of the difficulties, prospects, and requirements related to developing AI-powered product copilots has been carried out by researchers at Microsoft and GitHub Inc. 26 experienced software engineers from different firms that were in charge of creating these cutting-edge solutions were interviewed for the study.

Nearly all computer companies are vying to include advanced AI capabilities into their software, but there are still a lot of issues to be resolved. The probability of failure scenarios can be increased by coordinating various data sources and prompts, and evaluating LLMs is challenging because of their inherent variability. In this quickly changing sector, developers also find it difficult to stay current with best practices; they frequently turn to academic publications or social media for advice. The management of safety, privacy, and compliance are crucial issues that need to be handled carefully to prevent harm or breaches.

“Creating a one-stop shop to incorporate AI into projects is still difficult. According to Austin Henley, “developers are looking for a place where they can jump right in, go from a playground to an MVP, connect all of their data sources to the prompts, and then integrate the AI components into their current codebase with efficiency.” “Quick feedback could be obtained with a prompt linter. A “toolbox” or library of prompt snippets for frequently performed activities was also requested by developers. Furthermore, it would be extremely beneficial to track the impact of timely adjustments,” Henley went on.

Prompt engineering, or the act of developing prompts that start an AI model’s inference process, was one of the major challenges found. “Because these large language models are often very, very fragile in terms of responses, there’s a lot of behavior control and steering that you do through prompting,” stated a participant (P7). Because of this unpredictable nature, it’s more art than science because developers must spend a lot of time on trial-and-error procedures.

Benchmark testing was brought up as another concern. Writing assertions with generative models, such as Large Language Models (LLMs), becomes challenging as each response could be different from the previous one; it’s as if each test case is a test with flaws. As one participant put it, “That’s why we run each test ten times” (P1), and another said, “If you don’t have the right tools, experimentation takes a lot of time” (P12).

Participants also voiced worries about challenges related to compliance, safety, and privacy when integrating AI into goods. As an example: “Do we want actual people to be impacted by this? P11 stated, “This operates in nuclear power plants,” underscoring the possible dangers of utilizing such technologies in the absence of appropriate safeguards. Lastly, stay current or even understand where to concentrate their efforts while picking up new tools or abilities. For us, this is all very new. As we proceed, we are learning. There isn’t a set way to accomplish things correctly! (P1)

The modifications coincide with the introduction of new CoPilot design elements and enhancements by Microsoft. For instance, all Copilot users who speak English in the United States, the United Kingdom, Australia, India, and New Zealand can now edit images while a discussion is in progress. A number of Microsoft Copilot Pro subscribers have reported performance difficulties, which prompted the revisions.

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Google experiments with Android tablets’ desktop windowing

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Google is testing a new feature for Android tablets that would allow you to easily rearrange apps on your screen and resize them, which will facilitate multitasking. Developer previews of the “desktop windowing” functionality are now accessible, and you can even run multiple instances of the app simultaneously if they support it.

At the moment, Android tablet apps always open in full screen mode. Each program will show up in a window with controls to let you move, maximize, or close it when the new mode is enabled. Moreover, your open programs will be listed in a taskbar at the bottom of the screen.

It sounds a lot like Stage Manager for the iPad, which allows you to do the same with windows on your screen, or with almost any desktop operating system. For years, Samsung has also provided its DeX experience, which gives Android apps on Galaxy phones and tablets desktop-like window management.

When the functionality becomes available to all users, you may activate it by tapping and holding the window handle located at the top of an application’s screen. The shortcut meta key (Windows, Command, or Search) + Ctrl + Down can also be used to enter desktop mode if a keyboard is connected. (You can drag a window to the top of your screen to dismiss the mode, or you can close all of your open apps.)

Apps that are locked to portrait orientation can still be resized, according to Google, which could have odd visual effects if some apps aren’t optimized. Google intends to fix this in a later release, though, by scaling non-resizable apps’ user interfaces without changing their aspect ratios.

For the time being, users with the most recent Android 15 QPR1 Beta 2 for Pixel Tablets can access the developer preview.

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Sony Faces Backlash for Pricing PlayStation 5 Pro Well Above Xbox

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Sony Group Corp. has set the price of its new, faster PlayStation 5 Pro at $700, significantly higher than Microsoft’s Xbox Series X, which costs $600. The PlayStation 5 Pro, launching on November 7, comes at a $200 premium over the original PS5, suggesting Sony is targeting a loyal audience willing to pay extra for enhanced performance.

This pricing positions both Sony and Microsoft at the high end of the gaming console market. Four years into their product life cycles, the two most popular home consoles are moving towards premium models. Analysts are split on whether Sony’s pricing strategy will drive sales, especially as it seeks to grow its entertainment portfolio across gaming, anime, and film.

Industry analyst Serkan Toto described the PlayStation 5 Pro as a niche device aimed at hardcore PlayStation users, rather than a mass-market offering. “It’s about Sony skimming the absolute top end of the market,” he said, with the gaming world questioning Sony’s high pricing.

Others speculate that Sony’s pricing strategy is aimed at boosting margins, particularly after recent price hikes in Japan due to rising component costs like chips. The new console will allow for higher resolution and faster frame rates without requiring users to switch between performance modes, delivering 45% faster rendering than the standard PS5, according to lead architect Mark Cerny.

Despite the steep price, some analysts believe Sony could benefit. Citi analyst Kota Ezawa pointed out that no previous game console successor has been priced significantly higher than the original model, and that the PS5 Pro’s improved components may not justify such a big price jump. Nevertheless, the higher price could enhance Sony’s gross margins.

The PlayStation 5, which has sold over 59 million units since its 2020 release, has slightly lagged behind the PlayStation 4. The increased cost of the PS5 Pro may narrow its appeal, as the price edges closer to that of a gaming PC—one of the console market’s biggest competitors.

Reviewers also highlighted the lack of a disc drive in the new model, reflecting a broader industry shift from physical media to digital content. A disc drive will be available separately for purchase.

In a blog post, Sony announced that the PS5 Pro would enhance the performance of older titles, with several popular games such as Hogwarts Legacy, Final Fantasy VII Rebirth, and Spider-Man 2 receiving free updates to take advantage of the console’s new features.

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Apple’s iPhone 16 Launch: A Crucial Test for Consumer AI

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Apple is set to unveil its highly anticipated iPhone 16 lineup on Monday, Sept. 9, during its annual event at its Cupertino headquarters. The keynote, led by CEO Tim Cook, is expected to introduce not only the new iPhones but also the 10th anniversary Apple Watch and updated AirPods.

While the hardware lineup is impressive, Wall Street’s focus is elsewhere—on Apple’s generative AI platform, Apple Intelligence. This AI initiative, designed for iPhones, iPads, and Macs, represents Apple’s major push into the consumer AI space. Initially, investors were concerned about the company’s delay in launching AI compared to Microsoft and Google. However, after the platform was revealed at Apple’s WWDC conference in June, the company’s stock surged by 15%, outperforming tech giants like Microsoft, Amazon, and Google.

Apple Intelligence is now positioned as a key feature of the new iPhones, particularly those from the iPhone 15 Pro and newer models. Analysts believe this exclusivity will drive iPhone sales, with Morgan Stanley’s Erik Woodring predicting AI as a major factor in boosting the iPhone replacement cycle.

However, Apple Intelligence might be more than just a sales driver—it could shape consumer perceptions of generative AI itself.

Apple’s AI Ambitions

Apple’s upcoming event makes it clear that AI is front and center. From the tagline “It’s Glowtime” to the colorful logo reminiscent of Siri’s new look, the company is signaling a major AI focus.

The AI features Apple is integrating into its ecosystem are extensive. Users can expect tools that summarize text conversations, prioritize emails, enhance Siri’s capabilities, and offer access to OpenAI’s ChatGPT. Additional features like AI-powered proofreading and email optimization will also be part of the package, along with new apps developed to leverage AI through Apple’s hardware.

Wedbush analyst Dan Ives forecasts that Apple’s AI integration could bring in an extra $10 billion in annual services revenue, potentially boosting the company’s market cap to $4 trillion.

Though competitors like Samsung and Google have also introduced AI in their devices, Apple’s approach seems more compelling. Its June event showcased how seamlessly AI integrates into its ecosystem, making the technology feel more personal and essential compared to the offerings from Samsung’s Galaxy AI and Google’s Gemini platform.

The AI Risk

However, Apple faces challenges in ensuring Apple Intelligence’s success. The AI needs to avoid errors like those seen in Google’s AI tools, which have been criticized for providing bizarre recommendations. More importantly, Apple must prove that its AI is something consumers will genuinely want to use, rather than just a rushed feature aimed at appeasing investors.

As Apple ventures deeper into AI, its success or failure could shape the future of generative AI for everyday consumers.

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