The artificial intelligence sector has never been more competitive. Forbes received some 1,900 submissions this year, more than double last year’s count. Applicants do not pay a fee to be considered and are judged for their business promise and technical usage of AI through a quantitative algorithm and qualitative judging panels. Companies are encouraged to share data on diversity, and our list aims to promote a more equitable startup ecosystem. But disparities remain sharp in the industry. Only 12 companies have women cofounders, five of whom serve as CEO, the same count as last year. For more, see our full package of coverage, including a detailed explanation of the list methodology, videos and analyses on trends in AI.
New Generative AI video tools coming to Premiere Pro this year will streamline workflows and unlock new creative possibilities, from extending a shot to adding or removing objects in a scene
Adobe is developing a video model for Firefly, which will power video and audio editing workflows in Premiere Pro and enable anyone to create and ideate
Adobe previews early explorations of bringing third-party generative AI models from OpenAI, Pika Labs and Runway directly into Premiere Pro, making it easy for customers to draw on the strengths of different models within the powerful workflows they use every day
AI-powered audio workflows in Premiere Pro are now generally available, making audio editing faster, easier and more intuitive
AI Resources and Teaching | Kent State University offers valuable resources for educators interested in incorporating artificial intelligence (AI) into their teaching practices. The university recognizes that the rapid emergence of AI tools presents both challenges and opportunities in higher education.
The AI Resources and Teaching page provides educators with information and guidance on various AI tools and their responsible use within and beyond the classroom. The page covers different areas of AI application, including language generation, visuals, videos, music, information extraction, quantitative analysis, and AI syllabus language examples.
For all its jaw-dropping power, Watson the computer overlord was a weak teacher. It couldn’t engage or motivate kids, inspire them to reach new heights or even keep them focused on the material — all qualities of the best mentors.
It’s a finding with some resonance to our current moment of AI-inspired doomscrolling about the future of humanity in a world of ascendant machines. “There are some things AI is actually very good for,” Nitta said, “but it’s not great as a replacement for humans.”
His five-year journey to essentially a dead-end could also prove instructive as ChatGPT and other programs like it fuel a renewed, multimillion-dollar experiment to, in essence, prove him wrong.
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To be sure, AI can do sophisticated things such as generating quizzes from a class reading and editing student writing. But the idea that a machine or a chatbot can actually teach as a human can, he said, represents “a profound misunderstanding of what AI is actually capable of.”
Nitta, who still holds deep respect for the Watson lab, admits, “We missed something important. At the heart of education, at the heart of any learning, is engagement. And that’s kind of the Holy Grail.”
From DSC: This is why the vision that I’ve been tracking and working on has always said that HUMAN BEINGS will be necessary — they are key to realizing this vision. Along these lines, here’s a relevant quote:
Another crucial component of a new learning theory for the age of AI would be the cultivation of “blended intelligence.” This concept recognizes that the future of learning and work will involve the seamless integration of human and machine capabilities, and that learners must develop the skills and strategies needed to effectively collaborate with AI systems. Rather than viewing AI as a threat to human intelligence, a blended intelligence approach seeks to harness the complementary strengths of humans and machines, creating a symbiotic relationship that enhances the potential of both.
Per Alexander “Sasha” Sidorkin, Head of the National Institute on AI in Society at California State University Sacramento.
A new company called Archetype is trying to tackle that problem: It wants to make AI useful for more than just interacting with and understanding the digital realm. The startup just unveiled Newton — “the first foundation model that understands the physical world.”
What’s it for?
A warehouse or factory might have 100 different sensors that have to be analyzed separately to figure out whether the entire system is working as intended. Newton can understand and interpret all of the sensors at the same time, giving a better overview of how everything’s working together. Another benefit: You can ask Newton questions in plain English without needing much technical expertise.
How does it work?
Newton collects data from radar, motion sensors, and chemical and environmental trackers
It uses an LLM to combine each of those data streams into a cohesive package
It translates that data into text, visualizations, or code so it’s easy to understand
Apple has entered into a significant agreement with stock photography provider Shutterstock to license millions of images for training its artificial intelligence models. According to a Reuters report, the deal is estimated to be worth between $25 million and $50 million, placing Apple among several tech giants racing to secure vast troves of data to power their AI systems.
[Report] The Top 100 AI for Work – April 2024 — from flexos.work; with thanks to Daan van Rossum for this resource AI is helping us work up to 41% more effectively, according to recent Bain research. We review the platforms to consider for ourselves and our teams.
Following our AI Top 150, we spent the past few weeks analyzing data on the top AI platforms for work. This report shares key insights, including the AI tools you should consider adopting to work smarter, not harder.
While there is understandable concern about AI in the work context, the platforms in this list paint a different picture. It shows a future of work where people can do what humans are best suited for while offloading repetitive, digital tasks to AI.
This will fuel the notion that it’s not AI that takes your job but a supercharged human with an army of AI tools and agents. This should be a call to action for every working person and business leader reading this.
Assessment of Student Learning Is Broken — from insidehighered.com by Zach Justus and Nik Janos And generative AI is the thing that broke it, Zach Justus and Nik Janos write.
Generative artificial intelligence (AI) has broken higher education assessment. This has implications from the classroom to institutional accreditation. We are advocating for a one-year pause on assessment requirements from institutions and accreditation bodies.
… Implications and Options
The data we are collecting right now are literally worthless. These same trends implicate all data gathered from December 2022 through the present. So, for instance, if you are conducting a five-year program review for institutional accreditation you should separate the data from before the fall 2022 term and evaluate it independently. Whether you are evaluating writing, STEM outputs, coding, or anything else, you are now looking at some combination of student/AI work. This will get even more confounding as AI tools become more powerful and are integrated into our existing production platforms like Microsoft Office and Google Workspace.
The burden of adapting to artificial intelligence has fallen to faculty, but we are not positioned or equipped to lead these conversations across stakeholder groups.
How Much Do Voice Actors Make? — from elevenlabs.io Learn how much voice actors can expect to make and how to create passive income streams with ElevenLabs.
If you’re considering a career in the voice acting industry, you may be wondering how much do voice actors make?
A voice actor’s salary is based on many factors, from talent to type of voice work, and the ability to market yourself. Voice actors can experience massive earning potential, and a voice actor salary can range from tens of thousands of dollars to six figures a year.
In this article, we’ll explore how to make your voice talent work for you, whether you’re an entry-level voice actor or an experienced voice actor, the kind of voice actor’s salary you can expect, and what the highest-paid voice actors earn.
Have you ever wondered how video games create those immersive and dynamic sound effects that react to your every move? From the satisfying crunch of footsteps on different surfaces to the realistic reverberations of gunshots in various environments, game audio has come a long way.
Now, AI is revolutionizing the way video game audio is produced and experienced. AI algorithms and machine learning techniques are being leveraged to power real-time sound effect generation, creating more realistic, adaptive, and efficient sound effects that respond to player actions and in-game events in real-time. For example, ElevenLabs’ upcoming AI Sound Effects feature will allow video game developers to describe a sound and then generate it with AI.
What Are the Best AI Video Game Tools? Looking to enhance your video generation process with AI tools? You’ve come to the right place. Learn all about the top tools and their specific use cases.
From generating realistic assets and environments to crafting compelling narratives and lifelike characters, AI is revolutionizing the way video games are designed and developed.
In this article, we will explore the different types of AI video game tools available and highlight some of the best tools in each category. We’ll delve into the key features and benefits of these tools, helping you understand how they can streamline your game development process and enhance the overall quality of your game.
Whether you’re an indie developer or part of a large studio, understanding the AI landscape and selecting the right tools for your project is crucial. We’ll provide insights into what to look for when choosing an AI video game tool, ensuring that you make an informed decision that aligns with your project’s requirements and budget.
Tools and Apps to Bring Augmented Reality into Your Classroom — from techlearning.com by Steve Baule and Dillon Martinez These digital tools and platforms can support the use of augmented reality in the classroom, making a more dynamic and engaging learning experience
AR allows virtual 3D models, animations, and contextual information to be overlaid on the real world through mobile devices or AR headsets. The Franklin Institute provides a good overview of what constitutes AR, as does UK’s Talk Business and Tech & Learning. This immersive technology provides unique opportunities for interactive, experiential learning across numerous subjects.
For example, in a science class, students could use an AR app to visualize the 3D structure of a molecule they are studying and interact with it by rotating, resizing, or even building it atom-by-atom. For history lessons, AR can transport students to ancient archaeological sites projected on their desks, where they can explore 3D reconstructions of ruins and artifacts. Google’s Expeditions tool can allow students to take a virtual walkthrough South Africa and learn about its geography or visit the Seven New Wonders of the World.
London's Frameless is the ultimate immersive art experience. With 42 masterpieces in 4 different galleries, it's the largest permanent multi-sensory experience in the UK.pic.twitter.com/13OPRCLH2E
These key points underscore the importance of addressing challenges, enhancing policies, and leveraging AI technologies to create more inclusive opportunities for individuals with disabilities in the labor market.
The Adobe PDF (Portable Document Format) is one of the most popular formats for online documents. Put simply, if you need to download a tax form or review a company brochure, you’ll probably download a PDF to do so.
Unfortunately, many PDFs aren’t accessible for users with disabilities. A 2023 report from the Department of Justice (DOJ) found that only 20% of the government’s most-downloaded PDFs were conformant with federal accessibility standards. Private businesses also struggle to meet basic accessibility requirements.
The good news: If you think about accessibility when authoring your documents, you can provide a better experience for readers. Here’s how to get started.
What if a person with a visual impairment could receive audio assistance reading a map — and detailed instructions on how to navigate their local railway system? Or what if they could use image-to-text technology to quickly discern what’s in their fridge, along with recipe suggestions and a shopping list for their grocery delivery order?
AI-powered tools that do just that are now a reality thanks to Danish startup Be My Eyes, which uses the visual input capability of GPT-4 to create “virtual volunteers” for people who are blind or vision-impaired. It’s just one example of how advancements in AI are transforming the digital accessibility landscape.
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:
How Early Adopters of Gen AI Are Gaining Efficiencies — from knowledge.wharton.upenn.edu by Prasanna (Sonny) Tambe and Scott A. Snyder; via Ray Schroeder on LinkedIn Enterprises are seeing gains from generative AI in productivity and strategic planning, according to speakers at a recent Wharton conference.
Its unique strengths in translation, summation, and content generation are especially useful in processing unstructured data. Some 80% of all new data in enterprises is unstructured, he noted, citing research firm Gartner. Very little of that unstructured data that resides in places like emails “is used effectively at the point of decision making,” he noted. “[With gen AI], we have a real opportunity” to garner new insights from all the information that resides in emails, team communication platforms like Slack, and agile project management tools like Jira, he said.
Here are 6 YouTube channels I watch to stay up to date with AI. This list will be useful whether you’re a casual AI enthusiast or an experienced programmer.
1. Matt Wolfe: AI for non-coders
This is a fast-growing YouTube channel focused on artificial intelligence for non-coders. On this channel, you’ll find videos about ChatGPT, Midjourney, and any AI tool that it’s gaining popularity.
#3 Photomath
Photomath is a comprehensive math help app that provides step-by-step explanations for a wide range of math problems, from elementary to college level. Photomath is only available as a mobile app. (link)
Features:
Get step-by-step solutions with multiple methods to choose from
Scan any math problem, including word problems, using the app’s camera
Access custom visual aids and extra “how” and “why” tips for deeper understanding
Google researchers have developed a new artificial intelligence system that can generate lifelike videos of people speaking, gesturing and moving — from just a single still photo. The technology, called VLOGGER, relies on advanced machine learning models to synthesize startlingly realistic footage, opening up a range of potential applications while also raising concerns around deepfakes and misinformation.
I’m fascinated by the potential of these tools to augment and enhance our work and creativity. There’s no denying the impressive capabilities we’re already seeing with text generation, image creation, coding assistance, and more. Used thoughtfully, AI can be a powerful productivity multiplier.
At the same time, I have significant concerns about the broader implications of this accelerating technology, especially for education and society at large. We’re traversing new ground at a breakneck pace, and it’s crucial that we don’t blindly embrace AI without considering the potential risks.
My worry is that by automating away too many tasks, even seemingly rote ones like creating slide decks, we risk losing something vital—humanity at the heart of knowledge work.
Nvidia has announced a partnership with Hippocratic AI to introduce AI “agents” aimed at replacing nurses in hospitals. These AI “nurses” come at a significantly low cost compared to human nurses and are purportedly intended to address staffing issues by handling “low-risk,” patient-facing tasks via video calls. However, concerns are raised regarding the ethical implications and effectiveness of replacing human nurses with AI, particularly given the complex nature of medical care.
A glimpse of the future of AI at work:
I got early access to Devin, the “AI developer” – it is slow & breaks often, but you can start to see what an AI agent can do.
It makes a plan and executes it autonomously, doing research, writing code & debugging, without you watching. pic.twitter.com/HHBQQDQZ9q
What if, for example, the corporate learning system knew who you were and you could simply ask it a question and it would generate an answer, a series of resources, and a dynamic set of learning objects for you to consume? In some cases you’ll take the answer and run. In other cases you’ll pour through the content. And in other cases you’ll browse through the course and take the time to learn what you need.
And suppose all this happened in a totally personalized way. So you didn’t see a “standard course” but a special course based on your level of existing knowledge?
This is what AI is going to bring us. And yes, it’s already happening today.
One problem, of course, is that it’s prohibitively expensive to hire a tutor for every average or struggling student, or even one for every two or three of them. This was the two-sigma “problem” that Bloom alluded to in the title of his essay: how can the massive benefits of tutoring possibly be scaled up? Both Khan and Zuckerberg have argued that the answer is to have computers, maybe powered by artificial intelligence, serve as tutors instead of humans.
From DSC: I’m hoping that AI-backed learning platforms WILL help many people of all ages and backgrounds. But I realize — and appreciate what Natalie is saying here as well — that human beings are needed in the learning process (especially at younger ages).
But without the human element, that’s unlikely to be enough. Students are more likely to work hard to please a teacher than to please a computer.
Natalie goes on to talk about training all teachers in cognitive science — a solid idea for sure. That’s what I was trying to get at with this graphic: .
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But I’m not as hopeful in all teachers getting trained in cognitive science…as it should have happened (in the Schools of Education and in the K12 learning ecosystem at large) by now. Perhaps it will happen, given enough time.
And with more homeschooling and blended programs of education occurring, that idea gets stretched even further.
Parents are looking for a different kind of education for their children.A 2024 poll of parents reveals that 72% are considering, 63% are searching for, and 44% have selected a new K-12 school option for their children over the past few years. So, what type of education are they seeking?
Additional polling data reveals that 49% of parents would prefer their child learn from home at least one day a week.While 10% want full-time homeschooling, the remaining 39% of parents desire their child to learn at home one to four days a week, with the remaining days attending school on-campus. Another parent poll released this month indicates that an astonishing 64% of parents indicated that if they were looking for a new school for their child, they would enroll him or her in a hybrid school.
As the FlexOS research study “Generative AI at Work” concluded based on a survey amongst knowledge workers, ChatGPT reigns supreme. … 2. AI Tool Usage is Way Higher Than People Expect – Beating Netflix, Pinterest, Twitch. As measured by data analysis platform Similarweb based on global web traffic tracking, the AI tools in this list generate over 3 billion monthly visits.
With 1.67 billion visits, ChatGPT represents over half of this traffic and is already bigger than Netflix, Microsoft, Pinterest, Twitch, and The New York Times.
Something unusual is happening in America. Demand for electricity, which has stayed largely flat for two decades, has begun to surge.
Over the past year, electric utilities have nearly doubled their forecasts of how much additional power they’ll need by 2028 as they confront an unexpected explosion in the number of data centers, an abrupt resurgence in manufacturing driven by new federal laws, and millions of electric vehicles being plugged in.
The tumult could seem like a distraction from the startup’s seemingly unending march toward AI advancement. But the tension, and the latest debate with Musk, illuminates a central question for OpenAI, along with the tech world at large as it’s increasingly consumed by artificial intelligence: Just how open should an AI company be?
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The meaning of the word “open” in “OpenAI” seems to be a particular sticking point for both sides — something that you might think sounds, on the surface, pretty clear. But actual definitions are both complex and controversial.
In partnership with the National Cancer Institute, or NCI, researchers from the Department of Energy’s Oak Ridge National Laboratory and Louisiana State University developed a long-sequenced AI transformer capable of processing millions of pathology reports to provide experts researching cancer diagnoses and management with exponentially more accurate information on cancer reporting.
DC: Hmmm…given that the militaries of the world have been integrating AI into their arsenals (likely for years), this kind of thing is a bit disturbing for me. Autonomous/self-correcting missiles, robotic tanks, drones, and more…here we come. Ouch.https://t.co/Qljl1U9m9S
— Daniel Christian (he/him/his) (@dchristian5) March 13, 2024
Vast swaths of the United States are at risk of running short of power as electricity-hungry data centers and clean-technology factories proliferate around the country, leaving utilities and regulators grasping for credible plans to expand the nation’s creaking power grid.
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A major factor behind the skyrocketing demand is the rapid innovation in artificial intelligence, which is driving the construction of large warehouses of computing infrastructure that require exponentially more power than traditional data centers. AI is also part of a huge scale-up of cloud computing. Tech firms like Amazon, Apple, Google, Meta and Microsoft are scouring the nation for sites for new data centers, and many lesser-known firms are also on the hunt.
The Obscene Energy Demands of A.I.— from newyorker.com by Elizabeth Kolbert How can the world reach net zero if it keeps inventing new ways to consume energy?
“There’s a fundamental mismatch between this technology and environmental sustainability,” de Vries said. Recently, the world’s most prominent A.I. cheerleader, Sam Altman, the C.E.O. of OpenAI, voiced similar concerns, albeit with a different spin. “I think we still don’t appreciate the energy needs of this technology,” Altman said at a public appearance in Davos. He didn’t see how these needs could be met, he went on, “without a breakthrough.” He added, “We need fusion or we need, like, radically cheaper solar plus storage, or something, at massive scale—like, a scale that no one is really planning for.”
A generative AI reset: Rewiring to turn potential into value in 2024 — from mckinsey.com by Eric Lamarre, Alex Singla, Alexander Sukharevsky, and Rodney Zemmel; via Philippa Hardman The generative AI payoff may only come when companies do deeper organizational surgery on their business.
Figure out where gen AI copilots can give you a real competitive advantage
Upskill the talent you have but be clear about the gen-AI-specific skills you need
Form a centralized team to establish standards that enable responsible scaling
Set up the technology architecture to scale
Ensure data quality and focus on unstructured data to fuel your models
Build trust and reusability to drive adoption and scale
Since ChatGPT dropped in the fall of 2022, everyone and their donkey has tried their hand at prompt engineering—finding a clever way to phrase your query to a large language model (LLM) or AI art or video generator to get the best results or sidestep protections. The Internet is replete with prompt-engineering guides, cheat sheets, and advice threads to help you get the most out of an LLM.
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However, new research suggests that prompt engineering is best done by the model itself, and not by a human engineer. This has cast doubt on prompt engineering’s future—and increased suspicions that a fair portion of prompt-engineering jobs may be a passing fad, at least as the field is currently imagined.
There is one very clear parallel between the digital spreadsheet and generative AI: both are computer apps that collapse time. A task that might have taken hours or days can suddenly be completed in seconds. So accept for a moment the premise that the digital spreadsheet has something to teach us about generative AI. What lessons should we absorb?
It’s that pace of change that gives me pause. Ethan Mollick, author of the forthcoming book Co-Intelligence, tells me “if progress on generative AI stops now, the spreadsheet is not a bad analogy”. We’d get some dramatic shifts in the workplace, a technology that broadly empowers workers and creates good new jobs, and everything would be fine. But is it going to stop any time soon? Mollick doubts that, and so do I.
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