Conclusion
This Harvard study provides robust evidence that AI tutoring, when thoughtfully designed, can significantly enhance learning outcomes. The combination of doubled learning gains, increased engagement, and reduced time to competency suggests we’re seeing just the beginning of AI’s potential in education and that its potential is significant.
If this data is anything to go by, and if we – as humans – are open and willing to acting on it, it’s possible AI will have a significant and for some deeply positive impact on how we design and deliver learning experiences.
That said, as we look forward, the question shouldn’t just be, “how AI can enhance current educational methods?”, but also “how it might AI transform the very nature of learning itself?”. With continued research and careful implementation, we could be moving toward an era of education that’s more effective but also more accessible than ever before.
ChatGPT’s free voice wizard — from wondertools.substack.com by Jeremy Caplan How and why to try the new Advanced Voice Mode
7 surprisingly practical ways to use voice AI Opening up ChatGPT’s Advanced Voice Mode (AVM) is like conjuring a tutor eager to help with whatever simple — or crazy — query you throw at it. Talking is more fluid and engaging than typing, especially if you’re out and about. It’s not a substitute for human expertise, but AVM provides valuable machine intelligence.
Get a virtual museum tour. …
Chat with historical figures….
Practice languages. …
Explore books. …
Others…
Though not AI-related, this is along the lines of edtech:
We’ve added a new analysis tool. The tool helps Claude respond with mathematically precise and reproducible answers. You can then create interactive data visualizations with Artifacts.
We’re also introducing a groundbreaking new capability in public beta: computer use. Available today on the API, developers can direct Claude to use computers the way people do—by looking at a screen, moving a cursor, clicking buttons, and typing text. Claude 3.5 Sonnet is the first frontier AI model to offer computer use in public beta. At this stage, it is still experimental—at times cumbersome and error-prone. We’re releasing computer use early for feedback from developers, and expect the capability to improve rapidly over time.
A few days ago, Anthropic released Claude Computer Use, which is a model + code that allows Claude to control a computer. It takes screenshots to make decisions, can run bash commands and so forth.
It’s cool, but obviously very dangerous because of prompt injection.Claude Computer Use enables AI to run commands on machines autonomously, posing severe risks if exploited via prompt injection.
This blog post demonstrates that it’s possible to leverage prompt injection to achieve, old school, command and control (C2) when giving novel AI systems access to computers. … We discussed one way to get malware onto a Claude Computer Use host via prompt injection. There are countless others, like another way is to have Claude write the malware from scratch and compile it. Yes, it can write C code, compile and run it. There are many other options.
TrustNoAI.
And again, remember do not run unauthorized code on systems that you do not own or are authorized to operate on.
From a survey with more than 800 senior business leaders, this report’s findings indicate that weekly usage of Gen AI has nearly doubled from 37% in 2023 to 72% in 2024, with significant growth in previously slower-adopting departments like Marketing and HR. Despite this increased usage, businesses still face challenges in determining the full impact and ROI of Gen AI. Sentiment reports indicate leaders have shifted from feelings of “curiosity” and “amazement” to more positive sentiments like “pleased” and “excited,” and concerns about AI replacing jobs have softened. Participants were full-time employees working in large commercial organizations with 1,000 or more employees.
For a while now, companies like OpenAI and Google have been touting advanced “reasoning” capabilities as the next big step in their latest artificial intelligence models. Now, though, a new study from six Apple engineers shows that the mathematical “reasoning” displayed by advanced large language models can be extremely brittle and unreliable in the face of seemingly trivial changes to common benchmark problems.
The fragility highlighted in these new results helps support previous research suggesting that LLMs use of probabilistic pattern matching is missing the formal understanding of underlying concepts needed for truly reliable mathematical reasoning capabilities. “Current LLMs are not capable of genuine logical reasoning,” the researchers hypothesize based on these results. “Instead, they attempt to replicate the reasoning steps observed in their training data.”
We are bringing developer choice to GitHub Copilot with Anthropic’s Claude 3.5 Sonnet, Google’s Gemini 1.5 Pro, and OpenAI’s o1-preview and o1-mini. These new models will be rolling out—first in Copilot Chat, with OpenAI o1-preview and o1-mini available now, Claude 3.5 Sonnet rolling out progressively over the next week, and Google’s Gemini 1.5 Pro in the coming weeks. From Copilot Workspace to multi-file editing to code review, security autofix, and the CLI, we will bring multi-model choice across many of GitHub Copilot’s surface areas and functions soon.
This Article explores an innovative approach to assessment in legal education: an AI-assisted quiz system implemented in an AI & the Practice of Law course. The system employs a Socratic method-inspired chatbot to engage students in substantive conversations about course materials, providing a novel method for evaluating student learning and engagement. The Article examines the structure and implementation of this system, including its grading methodology and rubric, and discusses its benefits and challenges. Key advantages of the AI-assisted quiz system include enhanced student engagement with course materials, practical experience in AI interaction for future legal practice, immediate feedback and assessment, and alignment with the Socratic method tradition in law schools. The system also presents challenges, particularly in ensuring fairness and consistency in AI-generated questions, maintaining academic integrity, and balancing AI assistance with human oversight in grading.
The Article further explores the pedagogical implications of this innovation, including a shift from memorization to conceptual understanding, the encouragement of critical thinking through AI interaction, and the preparation of students for AI-integrated legal practice. It also considers future directions for this technology, such as integration with other law school courses, potential for longitudinal assessment of student progress, and implications for bar exam preparation and continuing legal education. Ultimately, this Article argues that AI-assisted assessment systems can revolutionize legal education by providing more frequent, targeted, and effective evaluation of student learning. While challenges remain, the benefits of such systems align closely with the evolving needs of the legal profession. The Article concludes with a call for further research and broader implementation of AI-assisted assessment in law schools to fully understand its impact and potential in preparing the next generation of legal professionals for an AI-integrated legal landscape.
Keywords: Legal Education, Artificial Intelligence, Assessment, Socratic Method, Chatbot, Law School Innovation, Educational Technology, Legal Pedagogy, AI-Assisted Learning, Legal Technology, Student Engagement, Formative Assessment, Critical Thinking, Legal Practice, Educational Assessment, Law School Curriculum, Bar Exam Preparation, Continuing Legal Education, Legal Ethics, Educational Analytics
Genie AI, a London-based legal tech startup, was founded in 2017 by Rafie Faruq and Nitish Mutha. The company has been at the forefront of revolutionizing the legal industry by leveraging artificial intelligence to automate and enhance legal document drafting and review processes. The recent funding round, led by Google Ventures and Khosla Ventures, marks a significant milestone in Genie AI’s growth trajectory.
Law firms are adopting generative artificial intelligence tools at a higher rate than in-house legal departments, but both report similar levels of concerns about data security and ethical implications, according to a report on legal tech usage released Wednesday.
Legal tech company Appara surveyed 443 legal professionals in Canada across law firms and in-house legal departments over the summer, including lawyers, paralegals, legal assistants, law clerks, conveyancers, and notaries.
Twenty-five percent of respondents who worked at law firms said they’ve already invested in generative AI tools, with 24 percent reporting they plan to invest within the following year. In contrast, only 15 percent of respondents who work in-house have invested in these tools, with 26 percent planning investments in the future.
The end of courts?— from jordanfurlong.substack.com by Jordan Furlong Civil justice systems aren’t serving the public interest. It’s time to break new ground and chart paths towards fast and fair dispute resolution that will meet people’s actual needs.
We need to start simple. System design can get extraordinarily complex very quickly, and complexity is our enemy at this stage. Tom O’Leary nicely inverted Deming’s axiom with a question of his own: “We want the system to work for [this group]. What would need to happen for that to be true?”
If we wanted civil justice systems to work for the ordinary people who enter them seeking solutions to their problems — as opposed to the professionals who administer and make a living off those systems — what would those systems look like? What would be their features? I can think of at least three:
New Era ADR CEO Rich Lee makes a return appearance to Technically Legal to talk about the company’s cutting-edge platform revolutionizing dispute resolution. Rich first came on the podcast in 2021 right as the company launched. Rich discusses the company’s mission to provide a faster, more efficient, and cost-effective alternative to traditional litigation and arbitration, the company’s growth and what he has learned from a few years in.
Key takeaways:
New Era ADR offers a unique platform for resolving disputes in under 100 days, significantly faster than traditional methods.
The platform leverages technology to streamline processes, reduce costs, and enhance accessibility for all parties involved.
New Era ADR boasts a diverse pool of experienced and qualified neutrals, ensuring fair and impartial resolutions.
The company’s commitment to innovation is evident in its use of data and technology to drive efficiency and transparency.
Student fees for athletics, dark money in college sports, and why this all matters to every student, every college.
All of this has big risks for institutions. But whenever I talk to faculty and administrators on campuses about this, many will wave me away and say, “Well, I’m not a college sports fan” or “We’re a Division III school, so that all this doesn’t impact us.”
Nothing is further from the truth, as we explored on a recent episode of the Future U. podcast, where we welcomed in Matt Brown, editor of the Extra Points newsletter, which looks at academic and financial issues in college sports.
As we learned, despite the siloed nature of higher ed, everything is connected to athletics: research, academics, market position. Institutions can rise and fall on the backs of their athletics programs – and we’re not talking about wins and losses, but real budget dollars.
And if you want to know about the impact on students, look no further than the news out of Clemson this week. It is following several other universities in adoptingan “athletics fee”: $300 a year. It won’t be the last.
Give a listen to this episode of Future U. if you want to catch up quick on this complicated subject, and while you’re at it, subscribe wherever you get your podcasts.
That’s true in the state of South Carolina, when comparing the annual fees of Clemson ($300) and USC ($172) to Coastal Carolina ($2,090). And it holds up nationally, too.
DC: Having played a sport at the NCAA Div I collegiate level, I can say sports are out of hand in our country. Increasingly, ALL students are being billed new athletic-related fees. One wonders…in the future, how much will future Ss/parents pay per yr? https://t.co/P64plKVdH2
From DSC: The Bible talks a lot about idols….and I can’t help but wonder, have sports become an idol in our nation?
Don’t get me wrong. Sports can and should be fun for us to play. I played many an hour of sports in my youth and I occasionally play some sports these days. Plus, sports are excellent for helping us keep in shape and take care of our bodies. Sports can help us connect with others and make some fun/good memories with our friends.
So there’s much good to playing sports. But have we elevated sports to places they were never meant to be? To roles they were never meant to play?
In a groundbreaking study, researchers from Penn Engineering showed how AI-powered robots can be manipulated to ignore safety protocols, allowing them to perform harmful actions despite normally rejecting dangerous task requests.
What did they find ?
Researchers found previously unknown security vulnerabilities in AI-governed robots and are working to address these issues to ensure the safe use of large language models(LLMs) in robotics.
Their newly developed algorithm, RoboPAIR, reportedly achieved a 100% jailbreak rate by bypassing the safety protocols on three different AI robotic systems in a few days.
Using RoboPAIR, researchers were able to manipulate test robots into performing harmful actions, like bomb detonation and blocking emergency exits, simply by changing how they phrased their commands.
Why does it matter?
This research highlights the importance of spotting weaknesses in AI systems to improve their safety, allowing us to test and train them to prevent potential harm.
From DSC: Great! Just what we wanted to hear. But does it surprise anyone? Even so…we move forward at warp speeds.
From DSC:
So, given the above item, does the next item make you a bit nervous as well? I saw someone on Twitter/X exclaim, “What could go wrong?” I can’t say I didn’t feel the same way.
We’re also introducing a groundbreaking new capability in public beta: computer use.Available today on the API, developers can direct Claude to use computers the way people do—by looking at a screen, moving a cursor, clicking buttons, and typing text. Claude 3.5 Sonnet is the first frontier AI model to offer computer use in public beta. At this stage, it is still experimental—at times cumbersome and error-prone. We’re releasing computer use early for feedback from developers, and expect the capability to improve rapidly over time.
Per The Rundown AI:
The Rundown: Anthropic just introduced a new capability called ‘computer use’, alongside upgraded versions of its AI models, which enables Claude to interact with computers by viewing screens, typing, moving cursors, and executing commands.
… Why it matters: While many hoped for Opus 3.5, Anthropic’s Sonnet and Haiku upgrades pack a serious punch. Plus, with the new computer use embedded right into its foundation models, Anthropic just sent a warning shot to tons of automation startups—even if the capabilities aren’t earth-shattering… yet.
Also related/see:
What is Anthropic’s AI Computer Use? — from ai-supremacy.com by Michael Spencer Task automation, AI at the intersection of coding and AI agents take on new frenzied importance heading into 2025 for the commercialization of Generative AI.
New Claude, Who Dis? — from theneurondaily.com Anthropic just dropped two new Claude models…oh, and Claude can now use your computer.
What makes Act-One special? It can capture the soul of an actor’s performance using nothing but a simple video recording. No fancy motion capture equipment, no complex face rigging, no army of animators required. Just point a camera at someone acting, and watch as their exact expressions, micro-movements, and emotional nuances get transferred to an AI-generated character.
Think about what this means for creators: you could shoot an entire movie with multiple characters using just one actor and a basic camera setup. The same performance can drive characters with completely different proportions and looks, while maintaining the authentic emotional delivery of the original performance. We’re witnessing the democratization of animation tools that used to require millions in budget and years of specialized training.
Also related/see:
Introducing, Act-One. A new way to generate expressive character performances inside Gen-3 Alpha using a single driving video and character image. No motion capture or rigging required.
Google has signed a “world first” deal to buy energy from a fleet of mini nuclear reactors to generate the power needed for the rise in use of artificial intelligence.
The US tech corporation has ordered six or seven small nuclear reactors (SMRs) from California’s Kairos Power, with the first due to be completed by 2030 and the remainder by 2035.
After the extreme peak and summer slump of 2023, ChatGPT has been setting new traffic highs since May
ChatGPT has been topping its web traffic records for months now, with September 2024 traffic up 112% year-over-year (YoY) to 3.1 billion visits, according to Similarweb estimates. That’s a change from last year, when traffic to the site went through a boom-and-bust cycle.
Google has made a historic agreement to buy energy from a group of small nuclear reactors (SMRs) from Kairos Power in California. This is the first nuclear power deal specifically for AI data centers in the world.
Hey creators!
Made on YouTube 2024 is here and we’ve announced a lot of updates that aim to give everyone the opportunity to build engaging communities, drive sustainable businesses, and express creativity on our platform.
Below is a roundup with key info – feel free to upvote the announcements that you’re most excited about and subscribe to this post to get updates on these features! We’re looking forward to another year of innovating with our global community it’s a future full of opportunities, and it’s all Made on YouTube!
Today, we’re announcing new agentic capabilities that will accelerate these gains and bring AI-first business process to every organization.
First, the ability to create autonomous agents with Copilot Studio will be in public preview next month.
Second, we’re introducing ten new autonomous agents in Dynamics 365 to build capacity for every sales, service, finance and supply chain team.
10 Daily AI Use Cases for Business Leaders— from flexos.work by Daan van Rossum While AI is becoming more powerful by the day, business leaders still wonder why and where to apply today. I take you through 10 critical use cases where AI should take over your work or partner with you.
Emerging Multi-Modal AI Video Creation Platforms The rise of multi-modal AI platforms has revolutionized content creation, allowing users to research, write, and generate images in one app. Now, a new wave of platforms is extending these capabilities to video creation and editing.
Multi-modal video platforms combine various AI tools for tasks like writing, transcription, text-to-voice conversion, image-to-video generation, and lip-syncing. These platforms leverage open-source models like FLUX and LivePortrait, along with APIs from services such as ElevenLabs, Luma AI, and Gen-3.
DC: I’m really hoping that a variety of AI-based tools, technologies, and services will significantly help with our Access to Justice (#A2J) issues here in America. So this article, per Kristen Sonday at Thomson Reuters — caught my eye.
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AI for Legal Aid: How to empower clients in need — from thomsonreuters.com by Kristen Sonday In this second part of this series, we look at how AI-driven technologies can empower those legal aid clients who may be most in need
It’s hard to overstate the impact that artificial intelligence (AI) is expected to have on helping low-income individuals achieve better access to justice.And for those legal services organizations (LSOs) that serve on the front lines, too often without sufficient funding, staff, or technology, AI presents perhaps their best opportunity to close the justice gap. With the ability of AI-driven tools to streamline agency operations, minimize administrative work, more effectively reallocate talent, and allow LSOs to more effectively service clients, the implementation of these tools is essential.
Innovative LSOs leading the way
Already many innovative LSOs are taking the lead, utilizing new technology to complete tasks from complex analysis to AI-driven legal research. Here are two compelling examples of how AI is already helping LSOs empower low-income clients in need.
Criminal charges, even those that are eligible for simple, free expungement, can prevent someone from obtaining housing or employment. This is a simple barrier to overcome if only help is available.
… AI offers the capacity to provide quick, accurate information to a vast audience, particularly to those in urgent need. AI can also help reduce the burden on our legal staff…
Everything you thought you knew about being a lawyer is about to change.
Legal Dive spoke with Podinic about the transformative nature of AI, including the financial risks to lawyers’ billing models and how it will force general counsel and chief legal officers to consider how they’ll use the time AI is expected to free up for the lawyers on their teams when they no longer have to do administrative tasks and low-level work.
Traditionally, law firms have been wary of adopting technologies that could compromise data privacy and legal accuracy; however, attitudes are changing
Despite concerns about technology replacing humans in the legal sector, legaltech is more likely to augment the legal profession than replace it entirely
Generative AI will accelerate digital transformation in the legal sector
Episode Notes
As genAI continues to edge into all facets of our lives, Dr. Megan Ma has been exploring integrations for this technology in legal, but, more importantly, how it can help lawyers and law students hone their legal skills. Dennis and Tom talk with Dr. Ma about her work and career path and many of the latest developments in legal tech. They take a deep dive into a variety of burgeoning AI tools and trends, and Dr. Ma discusses how her interdisciplinary mindset has helped her develop a unique perspective on the possibilities for AI in the legal profession and beyond.
Legal tech disruption: Doing it on purpose — from localgovernmentlawyer.co.uk Thomson Reuters looks at the role that a legal technology roadmap can play in improving the operations of in-house legal departments.
Disruption in the legal industry remains a powerful force – from the death of the billable hour to robot lawyers and generative AI. Leaders are facing weighty issues that demand long-term, visionary thinking and that will change the way legal professionals do their jobs.
With half of in-house legal departments increasing their use of legal technology tools, many GCs are taking the initiative to address continued, growing expectations from the business for systems that can make operations better. How can you prepare for a tech or process change so that people come along with you, rather than living in constant fire-fighting mode?
The TLDR here is that, as useful as popular AI tools are for learners, as things stand they only enable us to take the very first steps on what is a long and complex journey of learning.
AI tools like ChatGPT 4o, Claude 3.5 & NotebookLM can help to give us access to information but (for now at least) the real work of learning remains in our – the humans’ – hands.
To which Anna Mills had a solid comment:
It might make a lot of sense to regulate generated audio to require some kind of watermark and/or metadata. Instructors who teach online and assign voice recordings, we need to recognize that these are now very easy and free to auto-generate. In some cases we are assigning this to discourage students from using AI to just autogenerate text responses, but audio is not immune.
From DSC: Whenever we’ve had a flat tire over the years, a tricky part of the repair process is jacking up the car so that no harm is done to the car (or to me!). There are some grooves underneath the Toyota Camry where one is supposed to put the jack. But as the car is very low to the ground, these grooves are very hard to find (even in good weather and light).
What’s needed is a robotic jack with vision.
If the jack had “vision” and had wheels on it, the device could locate the exact location of the grooves, move there, and then ask the owner whether they are ready for the car to be lifted up. The owner could execute that order when they are ready and the robotic jack could safely hoist the car up.
This type of robotic device is already out there in other areas. But this idea for assistance with replacing a flat tire represents an AI and robotic-based, consumer-oriented application that we’ll likely be seeing much more of in the future. Carmakers and suppliers, please add this one to your list!
With the rise of artificial intelligence, photo editing has become accessible and efficient for everyone. An AI photo Editing Tool can transform photos in seconds, producing professional-level results without requiring extensive skills. From adjusting lighting to removing backgrounds, these tools automate complex edits, enabling users to create stunning visuals effortlessly. Whether a beginner or an experienced photographer, AI-powered editors offer a wide range of features that help elevate your images. This guide will introduce you to the key functionalities of AI image editors and provide insights on maximising their potential.
The Tutoring Revolution— from educationnext.org by Holly Korbey More families are seeking one-on-one help for their kids. What does that tell us about 21st-century education?
Recent research suggests that the number of students seeking help with academics is growing, and that over the last couple of decades, more families have been turning to tutoring for that help.
…
What the Future Holds Digital tech has made private tutoring more accessible, more efficient, and more affordable. Students whose families can’t afford to pay $75 an hour at an in-person center can now log on from home to access a variety of online tutors, including Outschool, Wyzant, and Anchorbridge, and often find someone who can cater to their specific skills and needs—someone who can offer help in French to a student with ADHD, for example. Online tutoring is less expensive than in-person programs. Khan Academy’s Khanmigo chatbot can be a student’s virtual AI tutor, no Zoom meeting required, for $4 a month, and nonprofits like Learn to Be work with homeless shelters and community centers to give virtual reading and math tutoring free to kids who can’t afford it and often might need it the most.
Access to graduate programs inside is becoming increasingly important as the number of bachelor’s programs in prison grows with the return last year of Pell Grant eligibility for incarcerated students. Since the first incarcerated bachelor’s graduates got their degrees from California State University Los Angeles at the state prison in Lancaster in 2021, California prisons now offer 11 bachelor’s programs, with two more starting next year.
Several of those Cal State LA grads continued on to the master’s program, which is open to students across California’s 34 prisons. It’s part of the California Department of Corrections and Rehabilitation commitment to offering education “from grade school to grad school.” Research shows that the higher the level of education someone achieves in prison, the less likely they are to return to prison once they are released and the more likely they are to find a job.
A new lawsuit claims Illinois has been violating state and federal law for nearly two decades by failing to provide special education services to young people locked up in adult prisons.
The federal lawsuit against the Illinois Department of Corrections, the Illinois Department of Juvenile Justice and the Illinois State Board of Education was filed at the end of last month. On Wednesday, plaintiffs filed a motion seeking to make the case a class action lawsuit. Attorneys estimate the suit could affect hundreds of individuals currently in custody.
A pair of federal lawsuits claim the Illinois Department of Corrections unjustly disciplined two Black students in Northwestern University’s prison education program because the students worked together to prevent university staff from harassment during their visits to the prison. Corrections officials deemed the coordinated effort to “stop problems” gang-related activity, according to the federal complaints.
The lawsuits were filed Wednesday morning. The plaintiffs, LeShun Smith and Brian McClendon, allege they were denied due process and targeted because of their race, violating their constitutional rights and effectively ending their education, said their attorney, Alan Mills.
1. Record audio from class on your phone
2. Keep laptop closed. Just jot down short phrases to describe most important points
3. Upload audio and PDF scan of notes to NotebookLM
4. Ask Notebook to expand your notes with details from recording… pic.twitter.com/wfmCTJfRba
Unlock deeper insights with NotebookLM: Now analyze YouTube videos & audio files alongside your docs. Plus, easily share your Audio Overview with a new sharing option!
I. Introduction (0:00 – 6:16): …
II. Historical Contextualization (6:16 – 11:30): …
III. The Role of Product Fit in AI’s Impact (11:30 – 17:10): …
IV. AI and the Future of Knowledge Work (17:10 – 24:03): …
V. Teaching About AI in Higher Ed: A Measured Approach (24:03 – 34:20): …
VI. AI & the Evolving Skills Landscape (34:20 – 44:35): …
VII. Ethical & Pedagogical Considerations in an AI-Driven World (44:35 – 54:03):…
VIII. AI Beyond the Classroom: Administrative Applications & the Need for Intuition (54:03 – 1:04:30): …
IX. Reflections & Future Directions (1:04:30 – 1:11:15): ….
Part 2: Administrative Impacts & Looking Ahead
X. Bridging the Conversation: From Classroom to Administration (1:11:15 – 1:16:45): …
XI. The Administrative Potential of AI: A Looming Transformation (1:16:45 – 1:24:42): …
XII. The Need for Intuitiveness & the Importance of Real-World Applications (1:24:42 – 1:29:45): …
XIII. Looking Ahead: From Hype to Impactful Integration (1:29:45 – 1:34:25): …
XIV. Conclusion and Call to Action (1:34:25 – 1:36:03): …
Most language learners do not have access to affordable 1:1 tutoring, which is also proven to be the most effective way to learn (short of moving to a specific country for complete immersion). Meanwhile, language learning is a huge market, and with an estimated 60% of this still dominated by “offline” solutions, meaning it is prime for disruption and never more so than with the opportunities unlocked through AI powered language learning. Therefore — we believe this presents huge opportunities for new startups creating AI native products to create the next language learning unicorns.
I never imagined I’d learn so much without paying for a course.
It’s not that AI is inherently biased, but in its current state, it favors those who can afford it. The wealthy districts continue to pull ahead, leaving schools without resources further behind. Students in these underserved areas aren’t just being deprived of technology—they’re being deprived of the future.
But imagine a different world—one where AI doesn’t deepen the divide, but helps to bridge it. Technology doesn’t have to be the luxury of the wealthy. It can be a tool for every student, designed to meet them where they are. Adaptive AI systems, integrated into schools regardless of their budget, can provide personalized learning experiences that help students catch up and push forward, all while respecting the limits of their current infrastructure. This is where AI’s true potential lies—not in widening the gap, but in leveling the field.
But imagine if, instead of replacing teachers, AI helped to support them. Picture a world where teachers are freed from the administrative burdens that weigh them down. Where AI systems handle the logistics, so teachers can focus on what they do best—teaching, mentoring, and inspiring the next generation. Professional development could be personalized, helping teachers integrate AI into their classrooms in ways that enhance their teaching, without adding to their workload. This is the future we should be striving toward—one where technology serves to lift up educators, not push them out.
Duolingo’s new Video Call feature represents a leap forward in language practice for learners. This AI-powered tool allows Duolingo Max subscribers to engage in spontaneous, realistic conversations with Lily, one of Duolingo’s most popular characters. The technology behind Video Call is designed to simulate natural dialogue and provides a personalized, interactive practice environment. Even beginner learners can converse in a low-pressure environment because Video Call is designed to adapt to their skill level. By offering learners the opportunity to converse in real-time,Video Call builds the confidence needed to communicate effectively in real-world situations. Video Call is available for Duolingo Max subscribers learning English, Spanish, and French.
Ello, the AI reading companion that aims to support kids struggling to read, launched a new product on Monday that allows kids to participate in the story-creation process.
Called “Storytime,” the new AI-powered feature helps kids generate personalized stories by picking from a selection of settings, characters, and plots. For instance, a story about a hamster named Greg who performed in a talent show in outer space.
On Tuesday, Workera announced Sage, an AI agent you can talk with that’s designed to assess an employee’s skill level, goals, and needs. After taking some short tests, Workera claims Sage will accurately gauge how proficient someone is at a certain skill. Then, Sage can recommend the appropriate online courses through Coursera, Workday, or other learning platform partners.Through chatting with Sage, Workera is designed to meet employees where they are, testing their skills in writing, machine learning, or math, and giving them a path to improve.
