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Revolutionizing Education with AI-Driven Learning

Morgan Tate
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Revolutionizing Education with AI-Driven Learning

Key points:

  • More than half of teachers and district administrators who are already actively using AI are leveraging it to improve learning experiences and outcomes for students.
  • The use of AI within the education sector isn’t without its challenges, including data privacy and security, insufficient training for teachers, and uncertainty about the efficacy of AI in improving student outcomes.
  • Despite the challenges, the increased use of technology is viewed positively by most teachers and administrators, with 81% of teachers viewing technology usage in classrooms as positive.

The State of K-12 Education and AI

The state of K-12 education has reached an inflection point, and AI has emerged as a versatile tool brimming with potential to support the evolving needs of teachers, students, and schools. The 2024 K-12 Educator + AI Survey, conducted by Hanover Research, aims to better understand how AI is being used by educators today, its impact and opportunity, and what this means for the future of education.

Key Findings

Teachers report using AI to help run their classrooms more efficiently, with just under half of surveyed respondents using AI for proofreading writing (47%) or lesson planning (44%). Additionally, teachers and administrators see AI as a path to more personalized student experiences and improved learning. More than half report they are leveraging AI to create personalized learning experiences for students (56%), provide real-time performance tracking and feedback (52%), and to help students with critical thinking skills (50%).

Challenges and Opportunities

The use of AI within the education sector isn’t without its challenges. When ranking the top three barriers to AI adoption in education settings, surveyed teachers and administrators identified the following:

  • Data privacy and security
  • Insufficient training for teachers on how to use AI
  • Uncertainty about the efficacy of AI in improving student outcomes

The Future of Education

Despite the challenges, there is optimism as well. Perhaps surprisingly, the majority of teachers surveyed (87%) plan to stay in their profession. Further, the 37% of teachers who believe their job is easier post-pandemic ranked increased use of technology to streamline tasks (43%) and increased use of technology to personalize student learning (40%) as top contributors.

Conclusion

As the use of AI and advanced technology grows, the education profession continues to evolve. This surge of innovation has given rise to new demands, skills, and potential risks. In response, schools are introducing new requirements and opportunities to help prepare, support, secure, and equip education professionals with the tools they need.

FAQs

Q: What are the top three barriers to AI adoption in education settings?
A: Data privacy and security, insufficient training for teachers on how to use AI, and uncertainty about the efficacy of AI in improving student outcomes.

Q: How do teachers view the increased use of technology in classrooms?
A: 81% of teachers view technology usage in classrooms as positive.

Q: What are the top contributors to teachers believing their job is easier post-pandemic?
A: Increased use of technology to streamline tasks (43%) and increased use of technology to personalize student learning (40%).

Q: What is the majority of teachers planning to do in their profession?
A: 87% of teachers plan to stay in their profession.

XPPen Artist Pro 24: Bigger and Better than the Rest

Phil
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XPPen Artist Pro 24: Bigger and Better than the Rest

The standout feature of the all-new 24-inch version of the XPPen Artist Pro Gen 2 is the colour management that includes Calman verified colours for true-to-life performance. Alongside sRGB, Adobe RGB, and Display P3 colour spaces, XPPen have produced something truly special.

In the Box

The package includes the display, a pen case containing two styli and nibs, a wireless shortcut remote, a Bluetooth receiver, power cable, DisplayPort cable, HDMI cable, USB cables, a glove, a cleaning cloth, and a stand.

Design and Specs

The display itself has a super thin plastic edging, which frames it beautifully. XPPen have absolutely nailed the design and manufacturing of this. The four corners are perfectly curved to give it a ‘tablet’ feel and an overall smooth feel.

Performance

The performance of the Artist Pro 24 (Gen 2) is second to none. Once I was up and running, my overall experience of the display was incredibly positive. It delivered, in abundance, absolutely everything I needed in terms of features and quality.

Who’s it for?

The XPPen Artist Pro 24 (Gen 2) is for pro artists or serious hobbyists. At $1,299.99 / £1,199, many will think twice before buying it. A slightly more affordable option while still benefitting from the same excellent technology would be the XPPen Artist Pro 19 (Gen 2).

Buy it if…

  • You want a big display
  • You need top quality colour accuracy
  • You need the complete package

Don’t buy it if…

  • You want an affordable drawing display
  • You need a touchscreen

Also Consider

  • XPPen Artist Pro 19 (Gen 2)

Conclusion

This is a high-performing display. Colour accuracy is top notch thanks to its Calman verified status. This means the colour gamut, Delta E and gamma curve have all been tested and confirmed accurate. This is a display every artist can trust.

Frequently Asked Questions

Q: What is the main feature of the XPPen Artist Pro 24 (Gen 2)?
A: The main feature is the colour management that includes Calman verified colours for true-to-life performance.

Q: What are the colour spaces supported by the display?
A: The display supports sRGB, Adobe RGB, and Display P3 colour spaces.

Q: What is the price of the XPPen Artist Pro 24 (Gen 2)?
A: The price is $1,299.99 / £1,199.

Q: Who is the XPPen Artist Pro 24 (Gen 2) for?
A: It is for pro artists or serious hobbyists.

Q: What is the main difference between the XPPen Artist Pro 24 (Gen 2) and the XPPen Artist Pro 19 (Gen 2)?
A: The main difference is the size of the display, with the XPPen Artist Pro 24 (Gen 2) being larger.

The Job I Lost

Avery Winslow
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The Job I Lost

Employee Retention Issues at The Garden Island

The Brief Career of James and Rose

Employee retention is always a bit of a problem at local newspapers, and The Garden Island newspaper on the Hawaiian island of Kauai is no exception. Many reporters—usually mainland transplants like myself—would stick around for just a couple years before moving on, and some only lasted months.

The AI Broadcast Experiment

After a two-month run, James and Rose have joined our ranks, as their broadcast has been discontinued, according to a representative for The Garden Island’s parent company, Oahu Publications (OPI). The pair were designed by Caledo, an Israeli firm that turns articles into videos where AI hosts discuss the news with one another. The Garden Island’s program was the first of its kind in the United States, and Caledo said at the time that it intended to expand it to hundreds of other local newspapers throughout the country—this is still the aim, according to a spokesperson.

A Problematic Presentation

James, a middle-aged Asian man, and Rose, a younger redhead, were never able to figure out how to present the news in a manner that wasn’t deeply off-putting for viewers. Their program, which ran twice a week on Youtube, Facebook, and Instagram, covered topics as varied as a fall pumpkin giveaway and a vigil for a labor massacre—all in the same distant, matter-of-fact tone of beings incapable of comprehending human emotions.

Stilted Dialogue

In one particularly stilted exchange about the pumpkin giveaway, Rose asked James, “And how have these free pumpkins impacted the community?” to which James responded, “The free pumpkins have brought joy to many.” They consistently butchered difficult Hawaiian names and even had surprising struggles with much simpler words. In their final broadcast on November 4, while discussing an air rifle championship, Rose inexplicably replaced the word “rifle” with the word “referee.”

Polarizing Comments

In the polarized months leading up to the election, the pair managed to inspire visceral, bipartisan contempt. Comments under the videos were nearly universally negative.

Conclusion

While OPI declined to comment further, and Caledo declared the program a success without elaborating on this particular scenario, it seems likely that a broadly negative public response played into the decision to end James and Rose’s tenure at The Garden Island.

Frequently Asked Questions

Q: Why did Oahu Publications terminate the James and Rose broadcast?
A: The decision was likely influenced by the overwhelmingly negative public response to the program.

Q: Was the program a success according to Caledo?
A: Yes, Caledo declared the program a success, but did not elaborate on the specific reasons for its termination.

Q: Will Caledo continue to expand its AI broadcast program to other local newspapers?
A: According to a spokesperson, the aim is still to expand the program to hundreds of other local newspapers throughout the country.

Indie devs welcome Itch.io’s ‘No AI’ filter

Phil
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Indie devs welcome Itch.io’s ‘No AI’ filter

The Inundation of AI-Generated Slop on Media Platforms

The Problem

The influx of AI-generated content on various media platforms is increasingly making them unusable. This issue affects everything from Spotify to indie games platforms like Itch.io, making it harder for users to find quality content. The problem is particularly evident in Itch.io, where AI-generated assets have flooded the platform, making it difficult for developers to find high-quality content.

Itch.io’s Solution

Itch.io is trying to address this issue by introducing a new AI filter. The filter requires asset page creators to declare whether generative AI was used to make their assets. This move has been generally welcomed by indie developers, who are looking for a way to differentiate their work from AI-generated content.

How the Filter Works

The filter works by asking asset page creators to tag their use of generative AI. If they select "yes", they will be asked what kinds of generative AI were used – graphics, sound, text and dialogue, or code. This will apply sub-tags based on the selections. There is also a bulk tagging dialog for whole pages that need tagging.

Consequences of Not Tagging

Assets that were made using generative AI and aren’t tagged accordingly will no longer be eligible for indexing on browse pages. The site’s creator, Leaf Corcoran, said there would be a grace period for people to update their pages, after which the site plans to use "user reports to handle pages that have not been addressed."

Developer Reaction

Developers have welcomed the move, with one person writing, "I had voiced despair at how flooded with AI the assets section had become, and even stopped publishing on itch altogether. This is very good news, a good start, and I’ll definitely come back to itch if negative filtering does a good job of filtering out the slop."

Questions and Concerns

However, there are questions about how the filter will work in practice. One person asked, "If I use ChatGPT to debug and help me with code, do I also need to include a tag indicating it was made with AI?" Another person asked, "What will be used to decide if a project does or does not contain AI-generated content?"

Conclusion

Itch.io’s policy of enforced disclosure sounds like a most sustainable approach to dealing with AI content, if it’s able to enforce it. Users need to be able to make informed decisions about the content they use and consume, and being able to easily filter out the AI rubbish will save people time. I hope we see other platforms follow suit.

FAQs

Q: What is the purpose of Itch.io’s new AI filter?
A: The purpose of the filter is to allow users to easily identify and filter out AI-generated content on the platform.

Q: How does the filter work?
A: The filter asks asset page creators to tag their use of generative AI, and applies sub-tags based on the selections.

Q: What happens if an asset is not tagged with AI-generated content?
A: Assets that were made using generative AI and aren’t tagged accordingly will no longer be eligible for indexing on browse pages.

Q: How will Itch.io enforce the filter?
A: Itch.io will use user reports to handle pages that have not been addressed.

Q: Will the filter affect games on Itch.io?
A: Yes, the filter will apply to games on Itch.io as well, as indicated by the "No AI" tag in the games library.

Generative AI Powers Personalized Visuals with OpenUSD

Emerson Blake
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Generative AI Powers Personalized Visuals with OpenUSD

Editor’s note: This post is part of Into the Omniverse, a blog series focused on how developers, 3D artists, and enterprises can transform their workflows using the latest advances in OpenUSD and NVIDIA Omniverse.

3D product configurators are changing the way industries like retail and automotive engage with customers by offering interactive, customizable 3D visualizations of products.

Developing Controllable Generative AI for Content Production

The new Omniverse Blueprint introduces a robust framework for integrating generative AI into 3D workflows to enable precise and controlled asset creation.

Key highlights of the blueprint include:

• Model conditioning to ensure that the AI-generated visuals adhere to specific brand requirements like colors and logos.
• Multimodal approach that combines 3D and 2D techniques to offer developers complete control over final visual outputs while ensuring the product’s digital twin remains accurate.
• Key components such as an on-brand hero asset, a simple and untextured 3D scene, and a customizable application built with the Omniverse Kit App Template.
• OpenUSD integration to enhance development of 3D visuals with precise visual generative AI.
• Integration of NVIDIA NIM, such as the Edify 360 NIM, Edify 3D NIM, USD Code NIM, and USD Search NIM microservices, allows the blueprint to be extensible and customizable. The microservices are available to preview on build.nvidia.com.

How Developers Are Building AI-Enabled Content Pipelines

Katana Studio developed a content creation tool with OpenUSD called COATcreate that empowers marketing teams to rapidly produce 3D content for automotive advertising. By using 3D data prepared by creative experts and vetted by product specialists in OpenUSD, even users with limited artistic experience can quickly create customized, high-fidelity, on-brand content for any region or use case without adding to production costs.

Global marketing leader WPP has built a generative AI content engine for brand advertising with OpenUSD. The Omniverse Blueprint for precise visual generative AI helped facilitate the integration of controllable generative AI in its content creation tools. Leading global brands like The Coca-Cola Company are already beginning to adopt tools from WPP to accelerate iteration on its creative campaigns at scale.

Conclusion

The NVIDIA Omniverse Blueprint for 3D conditioning for precise visual generative AI is revolutionizing the way developers build AI-enabled content pipelines. With its robust framework and customizable components, developers can integrate controllable generative AI into their workflows, ensuring precise and controlled asset creation.

Frequently Asked Questions

Q: What is the Omniverse Blueprint for 3D conditioning for precise visual generative AI?
A: The Omniverse Blueprint is a framework for integrating generative AI into 3D workflows to enable precise and controlled asset creation.

Q: What are the key components of the Omniverse Blueprint?
A: The blueprint includes model conditioning, multimodal approach, on-brand hero asset, simple and untextured 3D scene, and a customizable application built with the Omniverse Kit App Template.

Q: What is OpenUSD integration?
A: OpenUSD integration enhances development of 3D visuals with precise visual generative AI.

Q: What are the NVIDIA NIM microservices available to preview on build.nvidia.com?
A: The Edify 360 NIM, Edify 3D NIM, USD Code NIM, and USD Search NIM microservices are available to preview on build.nvidia.com.

Q: What are the benefits of using the Omniverse Blueprint?
A: The blueprint enables precise and controlled asset creation, offers complete control over final visual outputs, and accelerates development of AI-enabled content pipelines.

Relevant! At 50, Microsoft Is an AI Giant, Open-Source Lover, and as Bad as Ever

Avery Winslow
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Relevant! At 50, Microsoft Is an AI Giant, Open-Source Lover, and as Bad as Ever

Nadella’s Microsoft: A Triumph, But Can It Avoid Hubris?

No question about it: Nadella’s Microsoft is a triumph. Finally, in the 2020s, Microsoft has centered on the most innovative tech since the PC itself. And though revenues from AI products haven’t begun to offset Microsoft’s huge investments, it has the confidence—and the resources—to wait until the products improve and users find them useful.

The Recall Debacle

But can Microsoft really avoid the hubris that set it so far back before? Consider what happened in May of this year with a product called Recall.

The feature was supposed to epitomize Microsoft’s integration of AI into its hardware, software, and infrastructure. The idea was to give users something like a personal version of the Internet Archive. Recall would constantly capture everything that happens in your machine: what you read, what you write, pictures and videos you look at, sites you visit. Simply describe to your machine what you’re looking for: What were those carpet samples I was considering for my living room? Where is that report about the ecology of the Amazon? When did I go to Paris? Those moments would pop up like magic, as if you had a homunculus that knew everything about you. It sounds scary—kind of like an onboard Big Brother—but Microsoft insisted users could feel safe. Everything stays on your computer!

Privacy Concerns

Almost immediately, critics lambasted it as a privacy nightmare. For one thing, they noted, Recall worked by default and gobbled up your personal information, no matter how sensitive, without asking permission. While Microsoft has emphasized that only the user could access Recall, security researchers found “gaps you could drive a plane through,” as one tester put it.

A Lesson Learned

“Within about 48 hours, we went from ‘Wow, this is extraordinarily exciting!’ to people expressing some reservations,” says Brad Smith. While the press was piling on, Smith was on a plane to meet Nadella in Washington, DC. By the time he landed, he figured it would be prudent to make Recall work only if users opted in; Nadella agreed. Meanwhile, in Redmond, Microsoft’s senior executives piled into meeting rooms to see how they might scale back the product. Fortunately, since the feature had not shipped yet, they didn’t have to recall Recall. They postponed the launch. And they would add security features, like “just in time” encryption.

Nadella’s Take

“People pointed out some obvious things for us to do, which we should have caught,” Nadella says. But his own Responsible AI team missed them as well. A measure of “know-it-all”-ness had led to an announcement of a product that fell short, indicating that, even when led by a purported empath, Microsoft still retains too many of its earlier character flaws. Only now, it’s a $3 trillion company with locked-in access to the products of the leading-edge AI operation.

A Conclusion

That’s fine. After 50 years, though, it’s a lesson that Microsoft—and Nadella—should have learned a long time ago.

Conclusion

Microsoft’s Recall debacle serves as a reminder that even with the best intentions, innovation can go awry. As the company continues to push the boundaries of AI, it must also prioritize user privacy and security. The question remains: can Microsoft avoid the hubris that has plagued it in the past, or will it continue to make the same mistakes?

FAQs

Q: What was the Recall feature supposed to do?

A: Recall was a product that would constantly capture everything that happens in your machine, allowing users to search and retrieve information easily.

Q: Why did critics call Recall a privacy nightmare?

A: Critics noted that Recall worked by default and gathered personal information without asking permission, raising concerns about user privacy.

Q: How did Microsoft respond to the backlash?

A: Microsoft postponed the launch of Recall and added security features, such as “just in time” encryption, to address user concerns.

Q: What does the Recall debacle say about Microsoft’s ability to avoid hubris?

A: The Recall debacle suggests that Microsoft still retains some of its earlier character flaws, even under the leadership of a purported empath like Satya Nadella.

Jaguar’s Fatal Mistake: Why Rebranding Was a Disaster

Phil
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Jaguar’s Fatal Mistake: Why Rebranding Was a Disaster

If you didn’t hear the news that Jaguar has rebranded when the new identity dropped at the start of this week, you probably have now. With not one, but three radical new logos, the new look is already proving one of the most divisive rebrands of recent years, with everyone from design experts to Elon Musk chiming in.

A Radical New Look

With a wordmark that combines upper and lowercase letters, colourful marketing imagery and not an actual car in sight, Jaguar’s apparent ‘lifestyle’ rebrand has been variously compared to advertising for a vegan smoothie company or trendy underwear brand – and they’re just the kind ones. And according to one branding expert, Jaguar probably didn’t even need to rebrand in the first place.

Jaguar’s New Brand Identity

“As a lover of the Jaguar brand and its heritage, I’m hoping this is a spoof to drum up PR,” Lee Rolston, chief growth officer at BIA-winning agency Jones Knowles Ritchie, told Creative Bloq. But that might be wishful thinking – with the rebrand all over Jaguar’s social media and website, there can be little doubt that this is the real thing.

What the Rebrand Means

“This rebrand completely misunderstands what a brand is—and what branding is. It’s impossible to reinvent a brand like Jaguar while ignoring its legacy.” Indeed, legacy is an important word in the branding world right now, with countless brands opting to resurrect heritage logos in a push for nostalgia. So it’s notable that Jaguar has opted to go the other way. “Imagine representing Snickers in the image of a pineapple—your brain simply wouldn’t accept it,” Rolston adds.

The Legacy of Jaguar

Legacy is an important word in the branding world right now, with countless brands opting to resurrect heritage logos in a push for nostalgia. So it’s notable that Jaguar has opted to go the other way. Imagine representing Snickers in the image of a pineapple—your brain simply wouldn’t accept it, Rolston adds.

A Better Approach?

If Jaguar was trying to get a message across to its customers that it’s cars are going electric, Rolston isn’t convinced that rebranding was the way to do it. “Brands transform through what they do and how their audience experiences them, not just by rebranding. Apple convinced us that a computer company could not only dethrone Sony Walkman but also take on HMV and Netflix– all without rebranding. Tiffany convinced us they were “not your mother’s jewellery” by streamlining their range and associating with Jay-Z, Beyoncé, Basquiat, and Nike—not by rebranding. Jaguar could have convinced us their cars now run on electric, not gas, by staying true to themselves—not by trying to be someone else.”

A Conclusion

Jaguar’s rebrand is a radical departure from its heritage and legacy, and it’s unclear whether this new approach will resonate with customers. While the brand’s social media manager is working to respond to the backlash, it remains to be seen whether this rebrand will pay off in the long run.

FAQs

Q: Why did Jaguar rebrand?
A: The company has not publicly stated a specific reason for the rebrand, but it is likely an attempt to update its image and appeal to a new generation of customers.

Q: Is the rebrand a success?
A: The jury is still out on this one. While some people are praising the bold new look, many others are criticizing it as confusing and unnecessary.

Q: Will Jaguar’s cars still be electric?
A: Jaguar has not explicitly stated whether its cars will still be electric, but it’s likely that the rebrand is part of a broader strategy to appeal to a wider audience.

Smart Contract Revolution: Devcon 2024 Highlights

Parker Lennox
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Smart Contract Revolution: Devcon 2024 Highlights

Devcon 2024: Ethereum Ecosystem Unites in Bangkok

The Ethereum Foundation’s Devcon 2024, held in Bangkok from November 12 to 15, has become a global stage for unveiling the latest developments in the Ethereum ecosystem. Key projects presented groundbreaking advancements, emphasizing decentralization, scalability, and innovation across diverse sectors.

Here are some of the highlights from the event, showcasing the innovative strides made by leading projects in the space:

  • Ethereum introduced the “Mekong” testnet as a precursor to the Pectra upgrade, with enhancements like user-friendly account abstraction, increased validator limits, and improved staking mechanisms.
  • Researcher Justin Drake proposed the “Beam Chain,” aiming for faster block times and quantum security, though deployment is expected post-2029.
  • Arbitrum announced ERC-7683 integration to enhance cross-chain transactions
  • Coinbase’s Base made strides in on-chain payments, acquiring Utopia Labs and introducing “tap-to-pay” crypto payments.
  • Unichain, Uniswap Labs’ Layer 2 project, revealed USDC integration but emphasized that its mainnet is not yet live.
  • Filecoin’s ecosystem highlighted L2 projects, including Akave’s $3.45M funding round and Storacha Network’s Alpha launch targeting high-demand scenarios like gaming and AI.
  • BNB Chain secured $10M in Google Cloud credits to support AI-driven projects within its ecosystem.
  • AltLayer unveiled “Autonome,” a platform enabling users to deploy autonomous AI agents with minimal technical expertise
  • NEAR announced progress in its AI initiatives, featuring customized smart assistants and cross-platform tools.

The Future of Account Abstraction by Yoav Weiss

During Devcon 2024, Yoav Weiss delivered a compelling speech, “Exploring the Future of Account Abstraction,” delving into Ethereum’s progress toward seamless user experiences and cross-chain interoperability. Weiss highlighted the origins of account abstraction, tracing it back to Vitalik Buterin’s vision, and emphasized ERC-4337’s pivotal role in enabling account abstraction without protocol changes.

EIP-7702: Safe Co-Founder Predicts Smart Account Revolution

Safe co-founder Lukas Schor declared that EIP-7702 could mark the tipping point for mass adoption of smart accounts, addressing a long-standing hurdle in Ethereum’s account abstraction journey. The proposal aims to allow users to upgrade existing externally owned accounts (EOAs) into smart accounts without changing their structure, making the transition seamless for current wallet users.

Join the Account Abstraction Developer Survey

The Etherspot team conducted a developer survey during the AA Community Hub at Devcon. We are extending the opportunity to participate in our AA Developer Survey to the broader Web3 community. This initiative aims to gather insights into the challenges developers face when implementing AA, ensuring our tools and infrastructure meet the needs of the ecosystem.

Conclusion

Devcon 2024 underscored Ethereum’s role as a hub of Web3 innovation, fostering collaboration and setting the stage for the next wave of blockchain breakthroughs. The future of account abstraction holds much promise, with EIP-7702 poised to revolutionize the way users interact with Ethereum. Join the Etherspot community to stay updated on the latest developments and participate in shaping the future of Account Abstraction.

Frequently Asked Questions

Q: What is Account Abstraction?
A: Account Abstraction is a mechanism that enables users to upgrade their existing externally owned accounts (EOAs) into smart accounts, allowing for improved usability, security, and interoperability.

Q: What is EIP-7702?
A: EIP-7702 is a proposal that aims to allow users to upgrade existing EOAs into smart accounts without changing their structure, making the transition seamless for current wallet users.

Q: What is Safe?
A: Safe is a co-founder of the EIP-7702 proposal, which aims to enable mass adoption of smart accounts.

Q: What is Etherspot?
A: Etherspot is a platform that provides tools and infrastructure for developers to build and deploy smart contracts on the Ethereum blockchain.

Q: How can I participate in the Account Abstraction Developer Survey?
A: You can access the survey here: https://go.etherspot.io/BW2FUED.

Teach with Innovation, Not Replication

Morgan Tate
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Teach with Innovation, Not Replication

Key points:

Amplifying creativity and collaboration with AI

In the year and a half since the launch of ChatGPT, AI-powered edtech tools have flooded the market–but most, if not all, of these products may be missing out on the most exciting and creative ways to use AI in the classroom.

The limitations of AI in education

While 89 percent of teachers reported in a recent survey that they believe generative AI will have an impact on teaching, recent reporting in the Wall Street Journal and The74 have rightly identified some of AI’s limitations in education, questioning the technology’s ability to serve as, for example, an effective tutor.

Creative and collaborative approach to AI

My former colleague and MIT professor Mitch Resnick bemoans the current uses of AI in education, which aim to replicate conventional teaching methods by focusing on problems that have a right answer. Instead, there’s tremendous potential to leverage generative AI in scenarios where students can creatively solve meaningful problems that don’t have a known answer.

Playful learning with AI

A creative and collaborative approach to AI aligns with "playful learning" teaching methods, in which learners are allowed to explore, experiment, be curious, and try new things in a low-stakes environment. Research shows that playful learning helps students work together and share ideas more effectively.

Future-ready learning through playful AI

Imagine a history class where students use AI to generate images of historical figures or events, then work together to analyze the accuracy and biases in these depictions. Or a science class where AI helps students visualize complex molecular structures, allowing them to manipulate and explore these models in ways previously impossible.

Conclusion

While it’s challenging to change how teachers think about education, this playful approach is part of a much-needed rethinking of what education should be and how it can best prepare students for a rapidly changing future. The combination of playful learning and AI tools has the potential to empower learners and build future-ready skills, putting them in charge of their own learning now and throughout their lives.

FAQs

Q: What is the potential of AI in education?
A: AI has the potential to enhance learning experiences, making them more engaging and interactive, and to teach students important skills for the future, such as working well with others and using new technologies effectively.

Q: What is the current use of AI in education?
A: Many current uses of AI in education aim to replicate conventional teaching methods by focusing on problems that have a right answer.

Q: What is the potential of playful learning with AI?
A: Playful learning with AI has the potential to empower learners and build future-ready skills, putting them in charge of their own learning now and throughout their lives.

Q: How can AI be used in the classroom?
A: AI can be used in the classroom to support real-world team-based projects, provide scaffolding for student collaboration, and enhance learning experiences.

Half of Gen AI Adopters Want it Open Source

Emerson Blake
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Half of Gen AI Adopters Want it Open Source

Shaping the Future of Generative AI: The Role of Open-Source Software

NAPA, Calif. – At the Linux Foundation Member Summit, Linux Foundation Research announced a new report that dives deep into the sometimes awkward relationship between open source and artificial intelligence (AI).

Key Findings

Called “Shaping the Future of Generative AI,” the report — produced by Linux Foundation AI & Data and the Cloud Native Computing Foundation (CNCF) — reveals that open-source software is crucial in shaping the future of generative AI. The report surveyed 316 AI professionals and found that:

  • 94% of organizations currently use Gen AI, with 42% reporting high or very high adoption rates.
  • 41% of those using Gen AI report that their organization’s code infrastructure supporting AI is open source.
  • Nearly half (46%) of organizations cited cost efficiency for choosing open-source Gen AI solutions.
  • 52% of respondents said transparency and trust in the source code were primary reasons for choosing open-source Gen AI solutions.

Cost Savings and Transparency

The report highlights the significant cost savings that organizations can achieve by using open-source Gen AI solutions. For example, AI application frameworks like LangChain and LlamaIndex enable organizations to develop and deploy AI models at a fraction of the cost of proprietary solutions. Additionally, the rise of using cloud native technologies to run scalable Gen AI programs has emerged as a key enabler for orchestrating scalable Gen AI workloads, with 50% of organizations using it to host some or all of their Gen AI inferencing workloads.

Regulatory Compliance and Licensing

The report also emphasizes the importance of transparency and trust in the source code, as governments get more involved in regulating AI. However, licensing worries and all, open-source AI will only continue to grow. Seventy-one percent of respondents report that open source positively influences their decision-making, and 73% of organizations expect to increase their use of open-source Gen AI tools over the next two years.

Conclusion

The report concludes that open source will remain indispensable in shaping the future of generative AI. Both the Linux Foundation and I recommend that organizations prioritize open source in their Gen AI strategies to remain competitive and aligned with industry trends. Like all software, open source is essential for further AI advances.

FAQs

Q: What is the main finding of the report?
A: The report reveals that open-source software is crucial in shaping the future of generative AI, with 94% of organizations currently using Gen AI and 41% of those using open-source code infrastructure.

Q: Why do organizations choose open-source Gen AI solutions?
A: The report found that nearly half (46%) of organizations cited cost efficiency, while 52% of respondents said transparency and trust in the source code were primary reasons for choosing open-source Gen AI solutions.

Q: What is the future of open-source AI?
A: The report concludes that open source will remain indispensable in shaping the future of generative AI, with 71% of respondents reporting that open source positively influences their decision-making and 73% of organizations expecting to increase their use of open-source Gen AI tools over the next two years.

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