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Divided Opinions on Marathon’s Neon- Glitch Art

Phil
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Divided Opinions on Marathon’s Neon- Glitch Art

Bungie’s Revamped Marathon Game: A New Era for the Iconic Franchise

Bungie’s original Marathon for MacOS is often seen as the spiritual predecessor of its iconic Halo series. Now the franchise is being revived, this time for PlayStation, XBox and Windows (but not Mac) in a different genre and with a bold new look.

A New Direction for Marathon

News of the new Marathon game was already dividing fans when it was announced that it would be a hero shooter extraction game. Now the bold art style is also causing controversy with its vibrant colours and glitchy UI design.

The Art Style

A teaser for the gameplay trailer to come later this week shows a unique art style with colours that are seriously vibrant and alien but, unlike many games with bright palettes, also feel natural and not cartoony. Meanwhile, images shared by art director Joseph Cross show similarly vibrant graphic design approach to UI with glitchy details.

A lot of gamers are loving the direction. “Never played Destiny or not a fan of Bungie in general but this artstyle goes hard. One of the most unique artstyle in AAA in recent years,” one person wrote on X. WI haven’t seen something this vibrant and mature since Annihilation,” someone commented on the YouTube video.

The Original Marathon

The original Marathon game was a first-person shooter that was released for MacOS in 1994 and spawned two sequels. Taking place in space several centuries into the future, it puts the player in the role of a security officer who must try to stop an alien invasion on the colony ship that gives the game its name.

What is Marathon?

The new Marathon game is set within the canon of the original games but will be a player-versus-player extraction shooter that expands on their world. Events will take place on Tau Ceti IV, where a console ship remains in orbit and its 30,000 passengers have disappeared. Players take the role of cybernetic Runners to seek wealth and treasure on the planet.

Conclusion

The new Marathon game is a bold and exciting new direction for the franchise. With its unique art style and player-versus-player extraction gameplay, it’s sure to be a hit with fans of the original series and new players alike.

FAQs

Q: What is the release date of the new Marathon game?

A: There is no release date announced yet.

Q: What is the genre of the new Marathon game?

A: The new Marathon game is a player-versus-player extraction shooter.

Q: Is the new Marathon game available for Mac?

A: No, the new Marathon game is not available for Mac. It is available for PlayStation, XBox and Windows.

Q: What is the storyline of the new Marathon game?

A: The new Marathon game takes place on Tau Ceti IV, where a console ship remains in orbit and its 30,000 passengers have disappeared. Players take the role of cybernetic Runners to seek wealth and treasure on the planet.

The Cutest Security BFF

Emerson Blake
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The Cutest Security BFF

Eufy Security Indoor Cam S350 Review: A Comprehensive Look

Key Takeaways

• The Eufy Security Indoor Cam S350 is available for purchase at $130.
• The S350 indoor camera features dual telephoto and wide-angle lenses with 360-degree motion tracking and optional local storage to avoid monthly fees.
• The only drawback is that there is no manual button to engage privacy mode, but it can be scheduled as needed on the app.

A Comprehensive Review of the Eufy Security Indoor Cam S350

The Eufy Security Indoor Cam S350 has become an indispensable device in my home. Its unique feature is that it houses two cameras in one body: one with a wide-angle lens and the other with a telephoto lens. The wide-angle lens camera has a 130-degree field of view when static and records in 4K, while the telephoto lens camera records in 2K, features 3x optical zoom, and an 8x digital zoom.

Advanced Features and Performance

The device can smoothly pan, tilt, and swivel in any direction, giving you a full view of its surroundings. The Eufy Cam S350 smoothly tracks people in motion, keeping the target in view without staggering, and the Local AI in HomeBase 3 can distinguish humans from pets. The camera can also store footage on the HomeBase 3, which is a hub for Eufy security devices that supports local storage for its cameras, so we can enjoy the full benefit of a security camera without monthly fees.

Adding the Eufy Indoor Cam S350 to Your Security System

We paired this camera with our HomeBase 3, which retails for $150. The HomeBase 3 is a hub for Eufy security devices that supports local storage for its cameras, so we can enjoy the full benefit of a security camera without monthly fees. However, you don’t need to buy a HomeBase 3 to use this camera. The Indoor Cam S350 can store footage on the HomeBase 3, but also on an inserted microSD card, which is not included, of up to 128GB.

Using the Eufy Indoor Cam S350 as a Baby Monitor or Pet Cam

These pan/tilt indoor cameras are commonly marketed as baby monitors or pet cams because they can track motion in real-time and cover the lens when the privacy mode is turned on. While this camera is perfect for any of these options, I use it as an indoor security camera in conjunction with our security system.

Benefits and Drawbacks of the Eufy Indoor Cam S350

The Eufy Indoor Cam S350 has become a better solution to my problem of having a camera that can give me a live view within the same app as the rest of my security devices. However, the only drawback is that there is no manual button to engage privacy mode, but it can be scheduled as needed on the app.

ZDNET’s Buying Advice

I would recommend the Indoor Cam S350 to anyone looking for an indoor security camera, pet cam, or baby monitor camera, as it’s proven capable of performing these tasks with clear, high-resolution images. I love to schedule when the camera goes to privacy mode; I set a schedule to have it automatically guard each night at bedtime and stop watching during the day. I wish it had a button to manually engage privacy mode so the camera can stop capturing motion when I press it.

Conclusion

The Eufy Security Indoor Cam S350 is a reliable and feature-rich indoor security camera that is perfect for anyone looking for a device that can track motion in real-time and provide clear, high-resolution images. Its ability to store footage on the HomeBase 3 or an inserted microSD card makes it a great option for those who want to avoid monthly fees.

Frequently Asked Questions

Q: What is the price of the Eufy Security Indoor Cam S350?
A: The Eufy Security Indoor Cam S350 is available for purchase at $130.

Q: What are the features of the Eufy Security Indoor Cam S350?
A: The Eufy Security Indoor Cam S350 features dual telephoto and wide-angle lenses with 360-degree motion tracking and optional local storage to avoid monthly fees.

Q: Can I use the Eufy Security Indoor Cam S350 without a HomeBase 3?
A: Yes, you don’t need to buy a HomeBase 3 to use this camera.

Q: Can I store footage on the Eufy Security Indoor Cam S350?
A: Yes, the Indoor Cam S350 can store footage on the HomeBase 3, but also on an inserted microSD card, which is not included, of up to 128GB.

Q: Is the Eufy Security Indoor Cam S350 suitable for baby monitoring or pet monitoring?
A: Yes, the Eufy Security Indoor Cam S350 is perfect for baby monitoring or pet monitoring due to its ability to track motion in real-time and cover the lens when the privacy mode is turned on.

Stop AI Theft

Avery Winslow
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Stop AI Theft

Industry Unites Against AI Content Theft: Publishers Launch Campaign to Protect Creators’ Rights

A Growing Concern: AI-Generated Content

Hundreds of publishers, including The New York Times, The Washington Post, The Guardian, and The Verge parent company Vox Media, are running an ad campaign this week urging the government to protect content from AI. The campaign, called Support Responsible AI, is run by the News/Media Alliance trade association and consists of several ads that will appear in print and online.

The Campaign’s Message

Each ad features phrases like, “Keep Watch On AI,” “Stop AI Theft,” and “AI Steals From You Too,” while the text on the bottom reads: “Stealing is un-American. Tell Washington to make Big Tech pay for the content it takes.” The campaign comes just weeks after OpenAI and Google wrote letters to the government, urging it to allow their AI models to train on copyrighted content.

A Call to Action

The ad also contains a link and a QR code that leads to the Support Responsible AI page, where it prompts users to contact their local representatives about requiring Big Tech companies to fairly compensate writers, artists, and journalists for their work. It calls for the government to mandate attribution in AI-generated content as well.

A Message from the News/Media Alliance

“Right now, Big Tech and AI companies are using publishers’ own content against them, taking it without authorization or compensation to power AI products that pull advertising and subscription revenue away from the original creators of that content,” said Danielle Coffey, President and CEO of the News/Media Alliance, in a press release. “The news media industry is not anti-AI – many companies and creators use AI tools in their work. Rather, we seek a balanced ecosystem where AI is built responsibly.”

International Support

In February, major UK newspapers ran a similar campaign. Many plastered their covers with the phrase “MAKE IT FAIR” as part of an initiative that asked readers to help protect AI from training on copyrighted content. Some other publishers participating in the Support Responsible AI campaign include The Atlantic, Seattle Times, Tampa Bay Times, Wired publisher Condé Nast, and Politico owner Axel Springer.

Conclusion

The Support Responsible AI campaign highlights the growing concern among publishers about the use of their content by Big Tech and AI companies without authorization or compensation. The industry is calling for a balanced ecosystem where AI is built responsibly, and creators are fairly compensated for their work.

Frequently Asked Questions

Q: What is the Support Responsible AI campaign?
A: The Support Responsible AI campaign is a joint effort by the News/Media Alliance to urge the government to protect content from AI and require Big Tech companies to fairly compensate creators for their work.

Q: Which publishers are participating in the campaign?
A: Hundreds of publishers, including The New York Times, The Washington Post, The Guardian, and The Verge parent company Vox Media, are participating in the campaign.

Q: What is the goal of the campaign?
A: The goal of the campaign is to require Big Tech companies to fairly compensate writers, artists, and journalists for their work and to mandate attribution in AI-generated content.

Q: What is the significance of the campaign?
A: The campaign highlights the growing concern among publishers about the use of their content by Big Tech and AI companies without authorization or compensation.

Waymo to Train AI Models, Sell Ads with Interior Camera Data

Avery Winslow
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Waymo to Train AI Models, Sell Ads with Interior Camera Data

Waymo Prepares to Use Robotaxi Data for Generative AI Training

Waymo is preparing to use data from its robotaxis, including video from interior cameras tied to rider identities, to train generative AI models, according to an unreleased version of its privacy policy found by researcher Jane Manchun Wong.

Data Sharing for Personalized Ads

The draft language reveals Waymo may also share this data to personalize ads, raising fresh questions about how much of a rider’s behavior inside autonomous vehicles could be repurposed for AI training and marketing.

Generative AI Training

Waymo is working on Generative AI training using “interior camera data associated with rider’s identity,” provides opt-opts for this and data sharing under CCPA

Waymo explicitly states in this unreleased Privacy page it may share your data for personalized ads pic.twitter.com/wDUu867Eh3

— Jane Manchun Wong (@wongmjane) April 5, 2025

Privacy Policy Language

The privacy page states: “Waymo may share data to improve and analyze its functionality and to tailor products, services, ads, and offers to your interests. You can opt out of sharing your information with third parties, unless it’s necessary to the functioning of the service.”

Opt-Out Options

Waymo gives riders the option to prevent their personal information, as defined by California’s privacy laws, from being shared or sold. Riders can also: “Opt out of Waymo, or its affiliates, using your personal information (including interior camera data associated with your identity) for training [generative AI].”

Unclear Intended Use Cases

It’s not clear what interior data might be used to train generative AI models, or what the intended use cases of such models are. Nor is it obvious what sort of data the interior cameras capture – facial expressions? Body language? – or whether Waymo is using the data to train in-house models or whether it’s sharing that data with other Alphabet companies working on AI like Google or DeepMind.

Waymo’s Revenue Streams

Waymo is, to date, the only autonomous vehicle company pulling in revenue for robotaxi rides in the United States. As of February, the company is logging more than 200,000 paid robotaxi rides every week via its commercial services in Los Angeles, San Francisco, Phoenix, and Austin. That’s up from 10,000 rides per week just two years ago, and is a harbinger of more growth as Waymo expands into new markets.

Financials

Despite these gains, Waymo is still likely a money loser for Alphabet, which might be why the company appears to be exploring other revenue streams, like in-vehicle advertising and data sharing for generative AI models. Last year, Alphabet poured another $5 billion into Waymo, and the company raised an additional $5.6 billion from outside investors that boosted its valuation to more than $45 billion.

Conclusion

Waymo’s decision to use interior camera data for generative AI training raises concerns about the potential use of this data for personalized ads and the lack of transparency around the intended use cases of these models. As the company continues to expand and explore new revenue streams, it will be important to monitor their data practices and ensure that they prioritize user privacy and security.

FAQs

Q: What data will Waymo use for generative AI training?

A: According to the unreleased privacy policy, Waymo will use interior camera data associated with rider identities for generative AI training.

Q: What is the intended use of generative AI models?

A: It is unclear what the intended use cases of generative AI models are, but they may be used for personalized ads or other applications.

Q: Can I opt out of data sharing for generative AI training?

A: Yes, Waymo gives riders the option to opt out of sharing their personal information, including interior camera data, for training generative AI models.

Q: Is Waymo a profitable company?

A: No, Waymo is still likely a money loser for Alphabet, and its financials are not publicly disclosed.

A Life of Code

Parker Lennox
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A Life of Code

The Start

Like many others, I had an interest in STEM and figured software development was the obvious career path. I thought learning to code would automatically lead to greatness. But reality hit hard — I struggled, I failed classes, and at times, I questioned if I was even cut out for this.

Coding became a chore. I didn’t enjoy it anymore, but I was too deep into my major to quit. Besides, this was all I knew. So I pushed forward and graduated, barely scraping by.

The Journey

Graduating felt like a fresh start. I thought, at least I can get a job in tech, work on cool projects, and finally prove myself. But life had other plans.

• I applied for jobs and landed one in tech, but I wasn’t coding.
• I realized I had a massive amount of debt, so I picked up a second job.
• Then a third job.
• Then… I got scammed.
• Then… I got COVID.

All of this happened within the first two years after college. I was juggling three jobs, and only one of them was in tech — where I wasn’t even coding. It felt like I was stuck.

The Wins

I wanted better for myself, so I stepped out of my comfort zone.

• I joined a community called Grammerhub on discord and relearned how to code.
• I worked on improving my skills and breaking into the industry properly.
• I earned an Azure certification — a huge win.
• I studied for another certification… and failed.
• I took it again… and failed, but with a better score.
• I tried a third time — and finally passed.
• I landed a new job where I actually get to code.

The Lesson

Through all of this, I realized one simple truth: failure is part of the process. As developers, we break things, debug, and try again. Learning to embrace failure — not fear it — is the key to growth. Every setback is just another lesson that makes us better.

Conclusion

If you’re struggling as a developer, just know: failure isn’t the end. It’s proof that you’re learning. Don’t be discouraged by setbacks, and don’t give up. Instead, take it as an opportunity to learn and grow.

FAQs

Q: What are some tips for overcoming imposter syndrome as a developer?
A: One way to overcome imposter syndrome is to focus on your strengths and accomplishments. Surround yourself with supportive people who believe in you, and don’t be afraid to ask for help.

Q: How can I deal with the feeling of being stuck in my coding journey?
A: Take a step back, assess your situation, and identify what’s holding you back. Break down your goals into smaller, manageable tasks, and focus on making progress one step at a time.

Q: What are some resources for learning to code?
A: There are many online resources available for learning to code, including coding communities, tutorials, and online courses. Some popular options include FreeCodeCamp, Codecademy, and Udemy.

Free Gemini Upgrade for Samsung Android Phones

Emerson Blake
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Free Gemini Upgrade for Samsung Android Phones

Gemini Live: A Step Forward in Multimodal Conversations

A useful feature that Google first rolled out a few months ago, exclusive to a few phones, is now available for free users on a much wider scale. Select Samsung phones are also getting access to Gemini Live’s multimodal capabilities, allowing users to point at objects with their phone camera and ask Gemini about them.

How "Talk Live about" Works

Open the Gemini app (or you can use "Hey Google" if you have it enabled). Take a photo, or add a file or photo using the "+" button (you can upload TXT, DOC, DOCX, PDF, RTF, and HWP files). You can choose files from Drive, Gallery, or Files. You’ll see a "Talk live about this" button appear. Tap it, and Gemini will analyze what’s on your screen. Once Gemini is finished, you can start asking your questions.

By default, Gemini Live is a voice-only conversation. The new feature leverages its multimodal capabilities to provide the AI with more context. You can ask for a summary of a document, for help identifying something in a photo, for specific details in a file, for the context of a YouTube video, and more.

Gemini Live with Real-time Video Analysis

Along with the new updates, select Samsung models are also gaining the ability to run Gemini Live while on the camera viewfinder, allowing users to ask questions about subjects in the frame. For example, users can point at food and ask if it fits their diet or eating preferences. You can also point at your dresser and request outfit ideas.

The new feature will be available as a free update for Galaxy S25 models first, including the standard, Plus, and Ultra.

Conclusion

Gemini Live’s "Talk Live about" feature is a groundbreaking innovation in multimodal conversations. With its ability to analyze and understand visual content, users can now engage with AI in a more natural and intuitive way. The feature’s availability on a wider range of devices, including select Samsung models, means that more people can experience the power of Gemini Live.

FAQs

Q: What devices are eligible for the "Talk Live about" feature?
A: The feature is available on select Samsung phones, including the Galaxy S24 and S25 series, and older devices like the Pixel 6 and newer.

Q: How do I use the "Talk Live about" feature?
A: Open the Gemini app, take a photo or add a file, and tap the "Talk live about this" button. Gemini will analyze the content and you can start asking questions.

Q: Can I use the "Talk Live about" feature with YouTube videos?
A: Yes, you can chat about YouTube videos that are under two hours long and have closed captioning.

Q: Can I use the "Talk Live about" feature with files?
A: Yes, you can chat about files, including documents, images, and videos.

Q: Is the "Talk Live about" feature available for free?
A: Yes, the feature is available for free on select devices.

Databricks Expands Data Integration with Lakeflow Connect

Parker Lennox
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Databricks Expands Data Integration with Lakeflow Connect

Data Integration Simplified: Databricks Launches Lakeflow Connect

Databricks has announced the general availability of Lakeflow Connect, a tool that enables no-code data ingestion from SaaS applications and databases. As part of the launch, the company has introduced connectors for Salesforce Sales Cloud and Workday, marking them as the first of many planned connectors to provide a simple and scalable way to ingest data into Databricks.

The Need for Efficient Data Integration

Efficient data integration plays a critical role in the modern data-driven world, where businesses depend on quick and efficient access to diverse information sources. It ensures that data is unified and accurate, and helps break down silos that can hinder productivity and allow organizations to derive actionable insights from their data. However, organizations often face challenges in data integration, including navigating unique and frequently changing APIs and managing infrastructure for tools like virtual machines or streaming technologies.

The Complexity of Data Integration

As a result, teams spend excessive time building, optimizing, and patching together pipelines, which slows down projects. It can also lead to fragmented ETL architectures that are difficult to govern. "Today, it’s difficult to build and maintain ingestion pipelines for SaaS applications yourself because each API is unique and changes often," shared Databricks. "Meanwhile, database ingestion can be even more complex, often requiring extra infrastructure such as virtual machines for extraction tools, Kafka for streaming, and a strong understanding of change data capture (CDC) technologies for efficient ingestion."

No-Code Connectors for Simplified Data Integration

By introducing no-code connectors, Databricks aims to remove some of the complexities of managing diverse data sources and changing APIs. The data cloud and AI vendor claims that the serverless architecture eliminates the need for additional infrastructure, like virtual machines or Kafka for streaming. The platform also manages schema evolution, third-party API upgrades, and provides built-in observability with alerts that can reduce complexity and enable optimized workflows.

Strategic Partnerships and Customer Success Stories

The Salesforce connector is designed to enable organizations to import CRM data for applications like customer behavior insights and sales trend analysis. It accommodates specific Salesforce features, such as custom objects and formula fields. This functionality builds on the strategic partnership between Databricks and Salesforce, established in 2023, which focuses on creating a seamless, zero-ETL integration experience between their platforms. The connector represents a step forward in aligning Salesforce’s CRM capabilities with Databricks’ advanced analytics and AI tools.

Databricks shared a few customer success stories of early adopters, including Porsche Holding Salzburg (Porsche), one of the largest automotive manufacturers in Europe. Porsche leveraged the LakeFlow Connect Salesforce connector to overcome data integration challenges and achieve seamless access to customer data stored in Salesforce Sales Cloud.

More Connectors on the Horizon

We can expect Databricks to announce more connectors in this year’s Databricks’ Data + AI Summit, scheduled for June in San Francisco, CA. Databricks shared that connectors for Google Analytics, Microsoft SQL Server, Oracle NetSuite, PostgreSQL, ServiceNow, and SharePoint are part of its roadmap.

Conclusion

The introduction of Lakeflow Connect marks a significant milestone in Databricks’ journey to simplify data integration for organizations. With its no-code connectors and serverless architecture, Databricks aims to make data integration more accessible and efficient. As more connectors are introduced, we can expect to see even more organizations leveraging Databricks’ platform for their data integration needs.

FAQs

Q: What is Lakeflow Connect?
A: Lakeflow Connect is a tool that enables no-code data ingestion from SaaS applications and databases.

Q: What are the first connectors available for Lakeflow Connect?
A: The first connectors available for Lakeflow Connect are for Salesforce Sales Cloud and Workday.

Q: What is the benefit of using Lakeflow Connect?
A: Lakeflow Connect simplifies data integration by eliminating the need for additional infrastructure and managing schema evolution, third-party API upgrades, and providing built-in observability with alerts.

Q: What is the future roadmap for Lakeflow Connect?
A: Databricks plans to announce more connectors, including ones for Google Analytics, Microsoft SQL Server, Oracle NetSuite, PostgreSQL, ServiceNow, and SharePoint, in the future.

Rise of Agentic AI

Riley Kensington
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Rise of Agentic AI

We’ve Reached an Inflection Point with AI

We already find ourselves at an inflection point with AI. According to a recent study by McKinsey, we’ve reached the turning point where ‘businesses must look beyond automation and towards AI-driven reinvention’ to stay ahead of the competition.

The Age of Agentic AI

This is the age of Agentic AI. Truly autonomous AI agents are capable of reshaping operations entirely. Systems can act autonomously, make decisions, and adapt dynamically. These agents will go beyond conversational interfaces, responding to user input and proactively managing tasks, navigating complex IT environments, and orchestrating business processes.

Moving from Acceleration to Transformation

So far, companies have primarily used AI to accelerate existing processes, whether through chatbots improving customer interactions or AI-driven analytics optimizing workflows. In the end, these implementations make businesses more efficient. But acceleration alone is no longer enough to stay ahead in the game. The real opportunity lies in replacing outdated workflows entirely and creating new, previously impossible capabilities.

Navigating the AI Regulatory Landscape

However, as AI becomes more autonomous, the regulatory landscape governing its deployment will evolve in parallel. The introduction of the EU AI Act, alongside global regulatory frameworks, means companies must already navigate new compliance requirements related to AI transparency, bias mitigation, and ethical deployment.

The Importance of AI Literacy

As stated, the success of Agentic AI’s era will depend on more than just technical capabilities – it will require alignment between leadership, developers, and end-users. As AI becomes more advanced, AI literacy becomes a key differentiator, and companies must invest in upskilling their workforce to understand AI’s capabilities, limitations, and ethical considerations.

Focus on Applied Use Cases with Tangible ROI

In the next generation of AI deployments, it’s essential to focus on applied use cases with tangible ROI. The days of experimenting with AI for innovation’s sake are ending – the next generation of AI deployments must prove their worth.

Trust as the Adoption Hurdle

While we’re entering a new era, trust plays a key role in widespread AI adoption. Users must feel confident that AI decisions are accurate, fair, and explainable. Even the most advanced AI models will face challenges gaining acceptance without transparency.

Conclusion

As we enter the era of Agentic AI, it’s crucial to address regulatory challenges, build AI literacy, and focus on applied use cases with clear ROI. Organizations that harness Agentic AI effectively – balancing autonomy with oversight – will see the greatest benefits. However, success will require a commitment to transparency, education, and ethical deployment to build trust and ensure AI is a true enabler of progress.

FAQs

Q: What is Agentic AI?
A: Agentic AI refers to truly autonomous AI agents that can act independently, make decisions, and adapt dynamically.

Q: What is the significance of AI literacy in the era of Agentic AI?
A: AI literacy is crucial in the era of Agentic AI as it enables organizations to understand AI’s capabilities, limitations, and ethical considerations, and ensures alignment between leadership, developers, and end-users.

Q: How can organizations ensure the success of Agentic AI deployments?
A: Organizations can ensure the success of Agentic AI deployments by focusing on applied use cases with tangible ROI, addressing regulatory challenges, and building AI literacy across all levels of the organization.

Q: What is the future of AI?
A: The future of AI holds exciting potential, with AI becoming a powerful driver of intelligent decision-making, problem-solving, and innovation. However, success will require a commitment to transparency, education, and ethical deployment to build trust and ensure AI is a true enabler of progress.

AI: A Time-Saver for Teachers

Morgan Tate
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AI: A Time-Saver for Teachers

The Integration of AI in Classrooms: A Survey of Teachers’ Experiences

Key Points

  • 62% of educators are already using AI in their classrooms
  • 26% of teachers use AI daily for work purposes
  • Lack of training and guidance from schools on AI implementation

The State of AI in Classrooms

A recent survey conducted by Twinkl found that over half of educators (62%) are already incorporating AI into their teaching practices. This number is expected to rise as AI technology continues to advance and become more accessible to educators. However, a concerning trend emerges: many teachers report feeling unprepared to integrate AI into their classrooms, with over 60% saying they have yet to receive any AI training or substantial guidance from their school.

6 Recommendations for AI in Classrooms

  1. Develop AI literacy: Educators should receive training on AI basics, including its capabilities, limitations, and potential biases.
  2. Integrate AI gradually: Implement AI tools gradually, starting with small-scale pilots and gradually expanding to larger-scale implementations.
  3. Monitor student progress: Regularly assess student progress and adjust AI-based instruction accordingly.
  4. Foster human-AI collaboration: Encourage students to work alongside AI tools to develop critical thinking and problem-solving skills.
  5. Address AI-related concerns: Address concerns about AI’s impact on jobs, biases, and privacy.
  6. Encourage teacher professional development: Provide ongoing support and training for teachers to stay up-to-date with AI advancements.

Insights from Instructional Coaches

Instructional coaches play a crucial role in supporting teachers in implementing AI in their classrooms. Coaches can help teachers:

  • Develop AI-infused lesson plans
  • Integrate AI tools into existing curricula
  • Address technical issues and troubleshoot AI-related problems
  • Foster a growth mindset among teachers and students

Conclusion

The integration of AI in classrooms holds significant potential for improving student outcomes and enhancing teaching practices. However, it’s crucial for educators to receive proper training and support to ensure a smooth transition. By following these recommendations and embracing AI as a tool for learning, educators can create a more effective and engaging learning environment for their students.

Frequently Asked Questions

  • Q: What is the current state of AI adoption in classrooms?
    A: 62% of educators are already using AI in their classrooms, with 26% using it daily.
  • Q: What are the challenges faced by teachers in implementing AI?
    A: Many teachers report a lack of training and guidance from their schools.
  • Q: How can educators develop AI literacy?
    A: Educators should receive training on AI basics, including its capabilities, limitations, and potential biases.
  • Q: What is the role of instructional coaches in AI implementation?
    A: Coaches can help teachers develop AI-infused lesson plans, integrate AI tools, and address technical issues.

Fans Mock Microsoft’s Unplayable AI Quake II Remake

Phil
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Fans Mock Microsoft’s Unplayable AI Quake II Remake

The Future of Gaming: AI-Generated Quake II Sparks Controversy

Minecraft, owned by Microsoft, was copied last year for the AI-generated game Oasis. Now, Microsoft is joining in with an experiment of its own: an AI remake of Quake II in Copilot.

The ‘Copilot Gaming Experience’

The AI-made imitation of Quake II, made using Microsoft’s World and Human Action MaskGIT Model (WHAMM) model, is an experiment in AI-generated gaming. According to Microsoft, WHAMM can generate “consistent and diverse gameplay sequences and persist user modifications” while “every frame is created on the fly by an AI world model.”

Falling Short

However, the functionality of the AI-generated game is lacking. The AI Quake II may look like the original initially, but it quickly falls apart if you try to play it. The consistency of the game is also questionable, with players experiencing hallucinations and inconsistencies.

Quake II Fans Not Impressed

Quake II fans have expressed their disappointment and frustration with the AI-generated game. One fan wrote, “Microsoft will literally do anything but develop real video games. This is just a regurgitation of Quake II. A game that can be played on almost anything (far better). This isn’t a new experience or preservation. It’s just bastardization.”

Microsoft’s Response

Microsoft recognizes that WHAMM cannot “fully replicate the actual experience of playing the original Quake II game” and that the project is “intended to be a research exploration of what we are able to build using current ML approaches.” The company wants to highlight how “future models could be improved, enabling new kinds of interactive experiences and empowering game creators to bring to life the stories they wish to tell.”

Conclusion

The AI-generated Quake II sparks controversy and raises questions about the future of gaming. While AI has the potential to revolutionize the industry, it is clear that there is still much work to be done to create immersive and engaging gaming experiences. The debate surrounding AI-generated games will continue, and it remains to be seen how the industry will evolve in the future.

FAQs

Q: What is WHAMM?
A: WHAMM is part of Microsoft’s Muse family of world models for video games.

Q: Is the AI Quake II intended as a final product?
A: No, the AI Quake II is intended as a research project and a demonstration of the tech’s potential.

Q: Can AI replace human developers?
A: The game studio Team Kill Media does not believe AI will replace human developers. According to them, AI tools can be helpful in assisting game development, but human touch, artistry, direction, imagination, and vision are essential in creating engaging and immersive games.

Q: Is the AI Quake II available for play?
A: Yes, the AI Quake II is available for play via Copilot.

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