2024: The State of Generative AI in the Enterprise — from menlovc.com (Menlo Ventures) The enterprise AI landscape is being rewritten in real time. As pilots give way to production, we surveyed 600 U.S. enterprise IT decision-makers to reveal the emerging winners and losers.
This spike in spending reflects a wave of organizational optimism; 72% of decision-makers anticipate broader adoption of generative AI tools in the near future. This confidence isn’t just speculative—generative AI tools are already deeply embedded in the daily work of professionals, from programmers to healthcare providers.
Despite this positive outlook and increasing investment, many decision-makers are still figuring out what will and won’t work for their businesses. More than a third of our survey respondents do not have a clear vision for how generative AI will be implemented across their organizations. This doesn’t mean they’re investing without direction; it simply underscores that we’re still in the early stages of a large-scale transformation. Enterprise leaders are just beginning to grasp the profound impact generative AI will have on their organizations.
Business spending on generative AI surged 500% this year, hitting $13.8 billion — up from just $2.3 billion in 2023, according to data from Menlo Ventures released Wednesday.
OpenAI ceded market share in enterprise AI, declining from 50% to 34%, per the report.
Amazon-backed Anthropic doubled its market share from 12% to 24%.
Microsoft has quietly built the largest enterprise AI agent ecosystem, with over 100,000 organizations creating or editing AI agents through its Copilot Studio since launch – a milestone that positions the company ahead in one of enterprise tech’s most closely watched and exciting segments.
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The rapid adoption comes as Microsoft significantly expands its agent capabilities. At its Ignite conference [that started on 11/19/24], the company announced it will allow enterprises to use any of the 1,800 large language models (LLMs) in the Azure catalog within these agents – a significant move beyond its exclusive reliance on OpenAI’s models. The company also unveiled autonomous agents that can work independently, detecting events and orchestrating complex workflows with minimal human oversight.
To understand the implications of AI agents, it’s useful to clarify the distinctions between AI, generative AI, and AI agents and explore the opportunities and risks they present to our autonomy, relationships, and decision-making.
… AI Agents: These are specialized applications of AI designed to perform tasks or simulate interactions. AI agents can be categorized into:
Tool Agents…
Simulation Agents..
While generative AI creates outputs from prompts, AI agents use AI to act with intention, whether to assist (tool agents) or emulate (simulation agents). The latter’s ability to mirror human thought and action offers fascinating possibilities — and raises significant risks.
Doing the Best You Can With the Time You Have — by Jay Schauer These strategies can help overwhelmed teachers prioritize tasks and find a balance between perfectionism and efficiency. .
How to Support Teachers’ Emotional Health — by Hedreich Nichols Emotional well-being plays a major role in teachers’ job satisfaction, and it’s essential that they have effective resources for support.
Teachers cannot be expected to teach SEL effectively without first being intentional about their own emotional health. If we want educators to guide students through emotional regulation, they must have the time, space, and support to do that work themselves. This goes beyond surface-level wellness initiatives—teachers need opportunities to reflect on their emotional triggers, manage their own stresses, and receive genuine support from their schools. Only when teachers are empowered to process their own emotional challenges can they truly foster a healthy social and emotional environment for their students.
In Praise of the Humble Document Camera — by Emily Rankin Revisiting a simple edtech tool can help you introduce rigor and engage students more deeply in their lessons.
4 Ways to Use a Document Camera in Your Classroom— by Emily Rankin If a document camera is gathering dust in a classroom, its lack of impact is probably linked to the user, not what the gadget is capable of. Case in point, I wasn’t using mine regularly because I didn’t know the value it could add to my teaching and learning. Here are some of the practices I now know are possible:
One factor to consider is the subject. In math, students need opportunities to work on rich tasks and solve problems in ways that make sense to them. However, that doesn’t mean direct instruction is totally absent from math time. The questions below can guide you in deciding whether to use direct instruction, when it would be appropriate, and who else in the classroom you might involve.
Increasing Talk Time in World Language Classes— by Kate Good Teachers can experiment with a variety of strategies to build and assess students’ ability to converse in the target language.
To capitalize on my students’ (seemingly inexhaustible) desire to chat, I work to increase student talk time in our Spanish immersion classes. I use several strategies to build and assess students’ oral language.
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.
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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.
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.
AI’s Trillion-Dollar Opportunity — from bain.com by David Crawford, Jue Wang, and Roy Singh The market for AI products and services could reach between $780 billion and $990 billion by 2027.
At a Glance
The big cloud providers are the largest concentration of R&D, talent, and innovation today, pushing the boundaries of large models and advanced infrastructure.
Innovation with smaller models (open-source and proprietary), edge infrastructure, and commercial software is reaching enterprises, sovereigns, and research institutions.
Commercial software vendors are rapidly expanding their feature sets to provide the best use cases and leverage their data assets.
Accelerated market growth. Nvidia’s CEO, Jensen Huang, summed up the potential in the company’s Q3 2024 earnings call: “Generative AI is the largest TAM [total addressable market] expansion of software and hardware that we’ve seen in several decades.”
And on a somewhat related note (i.e., emerging technologies), also see the following two postings:
Surgical Robots: Current Uses and Future Expectations — from medicalfuturist.com by Pranavsingh Dhunnoo As the term implies, a surgical robot is an assistive tool for performing surgical procedures. Such manoeuvres, also called robotic surgeries or robot-assisted surgery, usually involve a human surgeon controlling mechanical arms from a control centre.
Key Takeaways
Robots’ potentials have been a fascination for humans and have even led to a booming field of robot-assisted surgery.
Surgical robots assist surgeons in performing accurate, minimally invasive procedures that are beneficial for patients’ recovery.
The assistance of robots extend beyond incisions and includes laparoscopies, radiosurgeries and, in the future, a combination of artificial intelligence technologies to assist surgeons in their craft.
“Working with the team from Proto to bring to life, what several years ago would have seemed impossible, is now going to allow West Cancer Center & Research Institute to pioneer options for patients to get highly specialized care without having to travel to large metro areas,” said West Cancer’s CEO, Mitch Graves.
Obviously this workflow works just as well for meetings as it does for lectures. Stay present in the meeting with no screens and just write down the key points with pen and paper. Then let NotebookLM assemble the detailed summary based on your high-level notes. https://t.co/fZMG7LgsWG
In a matter of months, organizations have gone from AI helping answer questions, to AI making predictions, to generative AI agents. What makes AI agents unique is that they can take actions to achieve specific goals, whether that’s guiding a shopper to the perfect pair of shoes, helping an employee looking for the right health benefits, or supporting nursing staff with smoother patient hand-offs during shifts changes.
In our work with customers, we keep hearing that their teams are increasingly focused on improving productivity, automating processes, and modernizing the customer experience. These aims are now being achieved through the AI agents they’re developing in six key areas: customer service; employee empowerment; code creation; data analysis; cybersecurity; and creative ideation and production.
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Here’s a snapshot of how 185 of these industry leaders are putting AI to use today, creating real-world use cases that will transform tomorrow.
AI Video Tools You Can Use Today— from heatherbcooper.substack.com by Heather Cooper The latest AI video models that deliver results
AI video models are improving so quickly, I can barely keep up! I wrote about unreleased Adobe Firefly Video in the last issue, and we are no closer to public access to Sora.
No worries – we do have plenty of generative AI video tools we can use right now.
Kling AI launched its updated v1.5 and the quality of image or text to video is impressive.
Hailuo MiniMax text to video remains free to use for now, and it produces natural and photorealistic results (with watermarks).
Runway added the option to upload portrait aspect ratio images to generate vertical videos in Gen-3 Alpha & Turbo modes.
…plus several more
Advanced Voice is rolling out to all Plus and Team users in the ChatGPT app over the course of the week.
While you’ve been patiently waiting, we’ve added Custom Instructions, Memory, five new voices, and improved accents.
Advanced Voice Mode on ChatGPT features more natural, real-time conversations that pick up on and respond with emotion and non-verbal cues.
Advanced Voice Mode on ChatGPT is currently in a limited alpha. Please note that it may make mistakes, and access and rate limits are subject to change.
From DSC: Think about the impacts/ramifications of global, virtual, real-time language translations!!! This type of technology will create very powerful, new affordances in our learning ecosystems — as well as in business communications, with the various governments across the globe, and more!
A while back, I wrote about some of my thoughts on generative AI around the copyright issues. Not much has changed since then, but a new article (Academic authors ‘shocked’ after Taylor & Francis sells access to their research to Microsoft AI) is definitely stirring up all sorts of concerns by academic authors. The basics of that article are that Taylor & Francis sold access to authors’ research to Microsoft for AI development without informing the authors, sparking significant concern among academics and the Society of Authors about transparency, consent, and the implications for authors’ rights and future earnings.
The stir can be seen as both valid and redundant. Two folks’ points stick out to me in this regard.
What aspects of teaching should remain human? — from hechingerreport.org by Chris Berdik Even techno optimists hesitate to say teaching is best left to the bots, but there’s a debate about where to draw the line
ATLANTA — Science teacher Daniel Thompson circulated among his sixth graders at Ron Clark Academy on a recent spring morning, spot checking their work and leading them into discussions about the day’s lessons on weather and water. He had a helper: As Thompson paced around the class, peppering them with questions, he frequently turned to a voice-activated AI to summon apps and educational videos onto large-screen smartboards.
When a student asked, “Are there any animals that don’t need water?” Thompson put the question to the AI. Within seconds, an illustrated blurb about kangaroo rats appeared before the class.
Nitta said there’s something “deeply profound” about human communication that allows flesh-and-blood teachers to quickly spot and address things like confusion and flagging interest in real time.
While the traditional model of education is entrenched, emerging technologies like deep learning promise to shake its foundations and usher in an age of personalized, adaptive, and egalitarian education. It is expected to have a significant impact across higher education in several key ways.
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…deep learning introduces adaptivity into the learning process. Unlike a typical lecture, deep learning systems can observe student performance in real-time. Confusion over a concept triggers instant changes to instructional tactics. Misconceptions are identified early and remediated quickly. Students stay in their zone of proximal development, constantly challenged but never overwhelmed. This adaptivity prevents frustration and stagnation.
InstructureCon 24 Conference Notes — from onedtech.philhillaa.com by Glenda Morgan Another solid conference from the market leader, even with unclear roadmap
The new stuff: AI
Instructure rolled out multiple updates and improvements – more than last year. These included many AI-based or focused tools and services as well as some functional improvements. I’ll describe the AI features first.
Sal Khan was a surprise visitor to the keynote stage to announce the September availability of the full suite of AI-enabled Khanmigo Teacher Tools for Canvas users. The suite includes 20 tools, such as tools to generate lesson plans and quiz questions and write letters of recommendation. Next year, they plan to roll out tools for students themselves to use.
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Other AI-based features include.
Discussion tool summaries and AI-generated responses…
An internet search for free learning resources will likely return a long list that includes some useful sites amid a sea of not-really-free and not-very-useful sites.
To help teachers more easily find the best free and freemium sites they can use in their classrooms and curricula, I’ve curated a list that describes the top free/freemium sites for learning.
In some cases, Tech & Learning has reviewed the site in detail, and those links are included so readers can find out more about how to make the best use of the online materials. In all cases, the websites below provide valuable educational tools, lessons, and ideas, and are worth exploring further.
How to Kill Student Curiosity in 5 Steps (and What to Do Instead) — from edweek.org by Olivia Odileke The unintentional missteps teachers and administrators are making
I’ve observed five major ways we’re unintentionally stifling curiosity and issue a call to action for educators, administrators, and policymakers to join the curiosity revolution:
This episode of the Next Big Idea podcast, host Rufus Griscom and Bill Gates are joined by Andy Sack and Adam Brotman, co-authors of an exciting new book called “AI First.” Together, they consider AI’s impact on healthcare, education, productivity, and business. They dig into the technology’s risks. And they explore its potential to cure diseases, enhance creativity, and usher in a world of abundance.
Key moments:
00:05 Bill Gates discusses AI’s transformative potential in revolutionizing technology.
02:21 Superintelligence is inevitable and marks a significant advancement in AI technology.
09:23 Future AI may integrate deeply as cognitive assistants in personal and professional life.
14:04 AI’s metacognitive advancements could revolutionize problem-solving capabilities.
21:13 AI’s next frontier lies in developing human-like metacognition for sophisticated problem-solving.
27:59 AI advancements empower both good and malicious intents, posing new security challenges.
28:57 Rapid AI development raises questions about controlling its global application.
33:31 Productivity enhancements from AI can significantly improve efficiency across industries.
35:49 AI’s future applications in consumer and industrial sectors are subjects of ongoing experimentation.
46:10 AI democratization could level the economic playing field, enhancing service quality and reducing costs.
51:46 AI plays a role in mitigating misinformation and bridging societal divides through enhanced understanding.
The team has summarized their primary contributions as follows.
The team has offered the first instance of a simple, scalable oversight technique that greatly assists humans in more thoroughly detecting problems in real-world RLHF data.
Within the ChatGPT and CriticGPT training pools, the team has discovered that critiques produced by CriticGPT catch more inserted bugs and are preferred above those written by human contractors.
Compared to human contractors working alone, this research indicates that teams consisting of critic models and human contractors generate more thorough criticisms. When compared to reviews generated exclusively by models, this partnership lowers the incidence of hallucinations.
This study provides Force Sampling Beam Search (FSBS), an inference-time sampling and scoring technique. This strategy well balances the trade-off between minimizing bogus concerns and discovering genuine faults in LLM-generated critiques.
a16z-backed Character.AI said today that it is now allowing users to talk to AI characters over calls. The feature currently supports multiple languages, including English, Spanish, Portuguese, Russian, Korean, Japanese and Chinese.
The startup tested the calling feature ahead of today’s public launch. During that time, it said that more than 3 million users had made over 20 million calls. The company also noted that calls with AI characters can be useful for practicing language skills, giving mock interviews, or adding them to the gameplay of role-playing games.
Google Translate can come in handy when you’re traveling or communicating with someone who speaks another language, and thanks to a new update, you can now connect with some 614 million more people. Google is adding 110 new languages to its Translate tool using its AI PaLM 2 large language model (LLM), which brings the total of supported languages to nearly 250. This follows the 24 languages added in 2022, including Indigenous languages of the Americas as well as those spoken across Africa and central Asia.
Gen-3 Alpha Text to Video is now available to everyone.
A new frontier for high-fidelity, fast and controllable video generation.
Hello GPT-4o — from openai.com We’re announcing GPT-4o, our new flagship model that can reason across audio, vision, and text in real time.
GPT-4o (“o” for “omni”) is a step towards much more natural human-computer interaction—it accepts as input any combination of text, audio, image, and video and generates any combination of text, audio, and image outputs. It can respond to audio inputs in as little as 232 milliseconds, with an average of 320 milliseconds, which is similar to human response time in a conversation. It matches GPT-4 Turbo performance on text in English and code, with significant improvement on text in non-English languages, while also being much faster and 50% cheaper in the API. GPT-4o is especially better at vision and audio understanding compared to existing models.
Providing inflection, emotions, and a human-like voice
Understanding what the camera is looking at and integrating it into the AI’s responses
Providing customer service
With GPT-4o, we trained a single new model end-to-end across text, vision, and audio, meaning that all inputs and outputs are processed by the same neural network. Because GPT-4o is our first model combining all of these modalities, we are still just scratching the surface of exploring what the model can do and its limitations.
This demo is insane.
A student shares their iPad screen with the new ChatGPT + GPT-4o, and the AI speaks with them and helps them learn in *realtime*.
Imagine giving this to every student in the world.
What about course videos? Professors can create them (by lecturing into a camera for several hours hopefully in different clothes) from the readings, from their interpretations of the readings, from their own case experiences – from anything they like. But now professors can direct the creation of the videos by talking – actually describing – to a CustomGPTabout what they’d like the video to communicate with their or another image. Wait. What?They can make a video by talking to a CustomGPT and even select the image they want the “actor” to use? Yes. They can also add a British accent and insert some (GenAI-developed) jokes into the videos if they like. All this and much more is now possible. This means that a professor can specify how long the video should be, what sources should be consulted and describe the demeanor the professor wants the video to project.
From DSC: Though I wasn’t crazy about the clickbait type of title here, I still thought that the article was solid and thought-provoking. It contained several good ideas for using AI.
Excerpt from a recent EdSurge Higher Ed newsletter:
There are darker metaphors though — ones that focus on the hazards for humanity of the tech. Some professors worry that AI bots are simply replacing hired essay-writers for many students, doing work for a student that they can then pass off as their own (and doing it for free).
From DSC: Hmmm…the use of essay writers was around long before AI became mainstream within higher education. So we already had a serious problem where students didn’t see the why in what they were being asked to do. Some students still aren’t sold on the why of the work in the first place. The situation seems to involve ethics, yes, but it also seems to say that we haven’t sold students on the benefits of putting in the work. Students seem to be saying I don’t care about this stuff…I just need the degree so I can exit stage left.
My main point: The issue didn’t start with AI…it started long before that.
This financial stagnation is occurring as we face a multitude of escalating challenges. These challenges include but are in no way limited to, chronic absenteeism, widespread student mental health issues, critical staff shortages, rampant classroom behavior issues, a palpable sense of apathy for education in students, and even, I dare say, hatred towards education among parents and policymakers.
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Our current focus is on keeping our heads above water, ensuring our students’ safety and mental well-being, and simply keeping our schools staffed and our doors open.
What is Ed? An easy-to-understand learning platform designed by Los Angeles Unified to increase student achievement. It offers personalized guidance and resources to students and families 24/7 in over 100 languages.
Also relevant/see:
Los Angeles Unified Bets Big on ‘Ed,’ an AI Tool for Students — from by Lauraine Langreo
The Los Angeles Unified School District has launched an AI-powered learning tool that will serve as a “personal assistant” to students and their parents.The tool, named “Ed,” can provide students from the nation’s second-largest district information about their grades, attendance, upcoming tests, and suggested resources to help them improve their academic skills on their own time, Superintendent Alberto Carvalho announced March 20. Students can also use the app to find social-emotional-learning resources, see what’s for lunch, and determine when their bus will arrive.
Could OpenAI’s Sora be a big deal for elementary school kids?— from futureofbeinghuman.com by Andrew Maynard Despite all the challenges it comes with, AI-generated video could unleash the creativity of young children and provide insights into their inner worlds – if it’s developed and used responsibly
Like many others, I’m concerned about the challenges that come with hyper-realistic AI-generated video. From deep fakes and disinformation to blurring the lines between fact and fiction, generative AI video is calling into question what we can trust, and what we cannot.
And yet despite all the issues the technology is raising, it also holds quite incredible potential, including as a learning and development tool — as long as we develop and use it responsibly.
I was reminded of this a few days back while watching the latest videos from OpenAI created by their AI video engine Sora — including the one below generated from the prompt “an elephant made of leaves running in the jungle”
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What struck me while watching this — perhaps more than any of the other videos OpenAI has been posting on its TikTok channel — is the potential Sora has for translating the incredibly creative but often hard to articulate ideas someone may have in their head, into something others can experience.
Can AI Aid the Early Education Workforce? — from edsurge.com by Emily Tate Sullivan During a panel at SXSW EDU 2024, early education leaders discussed the potential of AI to support and empower the adults who help our nation’s youngest children.
While the vast majority of the conversations about AI in education have centered on K-12 and higher education, few have considered the potential of this innovation in early care and education settings.
At the conference, a panel of early education leaders gathered to do just that, in a session exploring the potential of AI to support and empower the adults who help our nation’s youngest children, titled, “ChatECE: How AI Could Aid the Early Educator Workforce.”
Hau shared that K-12 educators are using the technology to improve efficiency in a number of ways, including to draft individualized education programs (IEPs), create templates for communicating with parents and administrators, and in some cases, to support building lesson plans.
Educators are, perhaps rightfully so, cautious about incorporating AI in their classrooms. With thoughtful implementation, however, AI image generators, with their ability to use any language, can provide powerful ways for students to engage with the target language and increase their proficiency.
While AI offers numerous benefits, it’s crucial to remember that it is a tool to empower educators, not replace them. The human connection between teacher and student remains central to fostering creativity, critical thinking, and social-emotional development. The role of teachers will shift towards becoming facilitators, curators, and mentors who guide students through personalized learning journeys. By harnessing the power of AI, educators can create dynamic and effective classrooms that cater to each student’s individual needs. This paves the way for a more engaging and enriching learning experience that empowers students to thrive.
In this article, seven teachers across the world share their insights on AI tools for educators. You will hear a host of varied opinions and perspectives on everything from whether AI could hasten the decline of learning foreign languages to whether AI-generated lesson plans are an infringement on teachers’ rights. A common theme emerged from those we spoke with: just as the internet changed education, AI tools are here to stay, and it is prudent for teachers to adapt.
Even though it’s been more than a year since ChatGPT made a big splash in the K-12 world, many teachers say they are still not receiving any training on using artificial intelligence tools in the classroom.
More than 7 in 10 teachers said they haven’t received any professional development on using AI in the classroom, according to a nationally representative EdWeek Research Center survey of 953 educators, including 553 teachers, conducted between Jan. 31 and March 4.
From DSC: This article mentioned the following resource:
Galaxy AI introduces meaningful intelligence aimed at enhancing every part of life, especially the phone’s most fundamental role: communication. When you need to defy language barriers, Galaxy S24 makes it easier than ever. Chat with another student or colleague from abroad. Book a reservation while on vacation in another country. It’s all possible with Live Translate,2 two-way, real-time voice and text translations of phone calls within the native app. No third-party apps are required, and on-device AI keeps conversations completely private.
With Interpreter, live conversations can be instantly translated on a split-screen view so people standing opposite each other can read a text transcription of what the other person has said. It even works without cellular data or Wi-Fi.
Galaxy S24 — from theneurondaily.com by Noah Edelman & Pete Huang
Samsung just announced the first truly AI-powered smartphone: the Galaxy S24.
For us AI power users, the features aren’t exactly new, but it’s the first time we’ve seen them packaged up into a smartphone (Siri doesn’t count, sorry).
Today, we’re a step closer to this vision as we introduce Gemini, the most capable and general model we’ve ever built.
Gemini is the result of large-scale collaborative efforts by teams across Google, including our colleagues at Google Research. It was built from the ground up to be multimodal, which means it can generalize and seamlessly understand, operate across and combine different types of information including text, code, audio, image and video.
So, in many ways, ChatGPT and its friends are far from as intelligent as a human; they do not have “general” intelligence (AGI).
But this will not last for long. The debate about ProjectQ aside, AIs with the ability to engage in high-level reasoning, plan, and have long-term memory are expected in the next 2–3 years. We are already seeing AI agents that are developing the ability to actautonomously and collaborate to a degree. Once AIs can reason and plan, acting autonomously and collaborating will not be a challenge.
ChatGPT is winning the future — but what future is that?— from theverge.com by David Pierce OpenAI didn’t mean to kickstart a generational shift in the technology industry. But it did. Now all we have to decide is where to go from here.
We don’t know yet if AI will ultimately change the world the way the internet, social media, and the smartphone did. Those things weren’t just technological leaps — they actually reorganized our lives in fundamental and irreversible ways. If the final form of AI is “my computer writes some of my emails for me,” AI won’t make that list. But there are a lot of smart people and trillions of dollars betting that’s the beginning of the AI story, not the end. If they’re right, the day OpenAI launched its “research preview” of ChatGPT will be much more than a product launch for the ages. It’ll be the day the world changed, and we didn’t even see it coming.
AI is overhyped” — from theneurondaily.com by Pete Huang & Noah Edelman
If you’re feeling like AI is the future, but you’re not sure where to start, here’s our advice for 2024 based on our convos with business leaders:
Start with problems – Map out where your business is spending time and money, then ask if AI can help. Don’t do AI to say you’re doing AI.
Model the behavior – Teams do better in making use of new tools when their leadership buys in. Show them your support.
Do what you can, wait for the rest – With AI evolving so fast, “do nothing for now” is totally valid. Start with what you can do today (accelerating individual employee output) and keep up-to-date on the rest.
Google has unveiled a new artificial intelligence model that it claims outperforms ChatGPT in most tests and displays “advanced reasoning” across multiple formats, including an ability to view and mark a student’s physics homework.
The model, called Gemini, is the first to be announced since last month’s global AI safety summit, at which tech firms agreed to collaborate with governments on testing advanced systems before and after their release. Google said it was in discussions with the UK’s newly formed AI Safety Institute over testing Gemini’s most powerful version, which will be released next year.