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Forget everything you think you know about law firms [Furlong]

On 07/26/2024, in 21st century, law schools, leadership, Legal operations, legal reform, legal technologies, legislatures / government / legal, strategy, by Daniel Christian

Forget everything you think you know about law firms — from jordanfurlong.substack.com by Jordan Furlong
Preface your strategic planning by explicitly rejecting all the accumulated conventions of the law firm model. The (legal) world has changed. Open up your strategic vistas. Prepare to start brand new.

Push aside the invisible guardrails of what’s been done before. Don’t take for granted any “normal” aspect — positive, negative, or neutral — of how your law firm looks and behaves, how it’s constituted, who it serves, who works there, how it creates value, how it competes, how it makes money. It’s all up for grabs.
…
But the real advantage now will belong to those strategic planners ready to go further and question all our assumptions about the law firm itself. You can’t conduct effective strategic planning or future-proofing for your firm unless you first shake yourself loose of every conventional “fact” about what law firms are, what they’re for, and how they operate. Those assumptions have become burdens. They will slow you down and compromise your strategy.

From DSC:
This advice seems appropriate for many businesses to do these days!

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OpenAI introduces SearchGPT + other items re: AI in general

On 07/26/2024, in 21st century, 24x7x365 access, Adobe, Artificial Intelligence / Machine Learning / Deep Learning / Algorithms, business, corporate / business world, emerging technologies, Facebook / Meta Platforms, game-changing environment, Google, health, human-computer interaction (HCI), innovation, intelligent systems, NVIDIA, Open AI, technology (general), tools, trends, United States, vendors, vision/possibilities, by Daniel Christian

“Who to follow in AI” in 2024? [Part I] — from ai-supremacy.com by Michael Spencer [some of posting is behind a paywall]
#1-20 [of 150] – I combed the internet, I found the best sources of AI insights, education and articles. LinkedIn | Newsletters | X | YouTube | Substack | Threads | Podcasts

Also see:

Along these lines, also see:

AI In Medicine: 3 Future Scenarios From Utopia To Dystopia — from medicalfuturist.com by Andrea Koncz
There’s a vast difference between baseless fantasizing and realistic forward planning. Structured methodologies help us learn how to “dream well”.

Key Takeaways

  • We’re often told that daydreaming and envisioning the future is a waste of time. But this notion is misguided.
  • We all instinctively plan for the future in small ways, like organizing a trip or preparing for a dinner party. This same principle can be applied to larger-scale issues, and smart planning does bring better results.
  • We show you a method that allows us to think “well” about the future on a larger scale so that it better meets our needs.

Adobe Unveils Powerful New Innovations in Illustrator and Photoshop Unlocking New Design Possibilities for Creative Pros — from news.adobe.com

  • Latest Illustrator and Photoshop releases accelerate creative workflows, save pros time and empower designers to realize their visions faster
  • New Firefly-enabled features like Generative Shape Fill in Illustrator along with the Dimension Tool, Mockup, Text to Pattern, the Contextual Taskbar and performance enhancement tools accelerate productivity and free up time so creative pros can dive deeper into the parts of their work they love
  • Photoshop introduces all-new Selection Brush Tool and the general availability of Generate Image, Adjustment Brush Tool and other workflow enhancements empowering creators to make complex edits and unique designs
    .

Nike is using AI to turn athletes’ dreams into shoes — from axios.com by Ina Fried

Zoom in: Nike used genAI for ideation, including using a variety of prompts to produce images with different textures, materials and color to kick off the design process.

What they’re saying: “It’s a new way for us to work,” Nike lead footwear designer Juliana Sagat told Axios during a media tour of the showcase on Tuesday.
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AI meets ‘Do no harm’: Healthcare grapples with tech promises — from finance.yahoo.com by Maya Benjamin

Major companies are moving at high speed to capture the promises of artificial intelligence in healthcare while doctors and experts attempt to integrate the technology safely into patient care.

“Healthcare is probably the most impactful utility of generative AI that there will be,” Kimberly Powell, vice president of healthcare at AI hardware giant Nvidia (NVDA), which has partnered with Roche’s Genentech (RHHBY) to enhance drug discovery in the pharmaceutical industry, among other investments in healthcare companies, declared at the company’s AI Summit in June.

Mistral reignites this week’s LLM rivalry with Large 2 (source) — from superhuman.ai

Today, we are announcing Mistral Large 2, the new generation of our flagship model. Compared to its predecessor, Mistral Large 2 is significantly more capable in code generation, mathematics, and reasoning. It also provides a much stronger multilingual support, and advanced function calling capabilities.

Meta releases the biggest and best open-source AI model yet — from theverge.com by Alex Heath
Llama 3.1 outperforms OpenAI and other rivals on certain benchmarks. Now, Mark Zuckerberg expects Meta’s AI assistant to surpass ChatGPT’s usage in the coming months.

Back in April, Meta teased that it was working on a first for the AI industry: an open-source model with performance that matched the best private models from companies like OpenAI.

Today, that model has arrived. Meta is releasing Llama 3.1, the largest-ever open-source AI model, which the company claims outperforms GPT-4o and Anthropic’s Claude 3.5 Sonnet on several benchmarks. It’s also making the Llama-based Meta AI assistant available in more countries and languages while adding a feature that can generate images based on someone’s specific likeness. CEO Mark Zuckerberg now predicts that Meta AI will be the most widely used assistant by the end of this year, surpassing ChatGPT.

4 ways to boost ChatGPT — from wondertools.substack.com by Jeremy Caplan & The PyCoach
Simple tactics for getting useful responses

To help you make the most of ChatGPT, I’ve invited & edited today’s guest post from the author of a smart AI newsletter called The Artificial Corner. I appreciate how Frank Andrade pushes ChatGPT to produce better results with four simple, clever tactics. He offers practical examples to help us all use AI more effectively.
…
Frank Andrade: Most of us fail to make the most of ChatGPT.

  1. We omit examples in our prompts.
  2. We fail to assign roles to ChatGPT to guide its behavior.
  3. We let ChatGPT guess instead of providing it with clear guidance.

If you rely on vague prompts, learning how to create high-quality instructions will get you better results. It’s a skill often referred to as prompt engineering. Here are several techniques to get you to the next level.

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School 3.0: Reimagining Education in 2026, 2029, and 2034 [Borish]

On 07/19/2024, in 21st century, 24x7x365 access, A/V -- audio/visual, Artificial Intelligence / Machine Learning / Deep Learning / Algorithms, education, education technology, emerging technologies, engagement / engaging students, experimentation, face-to-face, flipping -- inverted learning, future, game-changing environment, heutagogy, human-computer interaction (HCI), ideas, innovation, instructional design, intelligent systems, intelligent tutoring, K-12 related, learning, learning agents, learning ecosystem, Learning Experience Design, Learning from the Living [Class] Room, online learning, online media, online tutoring, pace of change, reinvent, skills, staying relevant, teachers, teaching & learning, United States, vision/possibilities, by Daniel Christian

School 3.0: Reimagining Education in 2026, 2029, and 2034 — from davidborish.com by David Borish
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The landscape of education is on the brink of a profound transformation, driven by rapid advancements in artificial intelligence. This shift was highlighted recently by Andrej Karpathy’s announcement of Eureka Labs, a venture aimed at creating an “AI-native” school. As we look ahead, it’s clear that the integration of AI in education will reshape how we learn, teach, and think about schooling altogether.
…
Traditional textbooks will begin to be replaced by interactive, AI-powered learning materials that adapt in real-time to a student’s progress.
…
As we approach 2029, the line between physical and virtual learning environments will blur significantly.

Curriculum design will become more flexible and personalized, with AI systems suggesting learning pathways based on each student’s interests, strengths, and career aspirations.
…
The boundaries between formal education and professional development will blur, creating a continuous learning ecosystem.

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“Content can be turned into interactive learning games” [Cheung] + other items re: AI in our LE’s

On 07/11/2024, in 21st century, 24x7x365 access, adjunct faculty, Artificial Intelligence / Machine Learning / Deep Learning / Algorithms, assessment, Canvas - and other Instructure-related items, CMS/LMS, colleges, community colleges, content development, aggregation, repositories, digital learning, education technology, emerging technologies, experimentation, faculty, future of higher education, game-changing environment, higher education, human-computer interaction (HCI), innovation, instructional design, intelligent systems, intelligent tutoring, IT in HE, law schools, learning ecosystem, liberal arts, online media, personalized/customized learning, platforms, student-related, teachers, teaching & learning, tools, United States, universities, vendors, vision/possibilities, by Daniel Christian

Higher Education Has Not Been Forgotten by Generative AI — from insidehighered.com by Ray Schroeder
The generative AI (GenAI) revolution has not ignored higher education; a whole host of tools are available now and more revolutionary tools are on the way.

Some of the apps that have been developed for general use can be customized for specific topical areas in higher ed. For example, I created a version of GPT, “Ray’s EduAI Advisor,” that builds onto the current GPT-4o version with specific updates and perspectives on AI in higher education. It is freely available to users. With few tools and no knowledge of the programming involved, anyone can build their own GPT to supplement information for their classes or interest groups.

Excerpts from Ray’s EduAI Advisor bot:

AI’s global impact on higher education, particularly in at-scale classes and degree programs, is multifaceted, encompassing several key areas:
1. Personalized Learning…
2. Intelligent Tutoring Systems…
3. Automated Assessment…
4. Enhanced Accessibility…
5. Predictive Analytics…
6. Scalable Virtual Classrooms
7. Administrative Efficiency…
8. Continuous Improvement…

Instructure and Khan Academy Announce Partnership to Enhance Teaching and Learning With Khanmigo, the AI Tool for Education — from instructure.com
Shiren Vijiasingam and Jody Sailor make an exciting announcement about a new partnership sure to make a difference in education everywhere.

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“AI will be a vital tool in overcoming the access to justice challenge.” [Susskind] + other legaltech-related items

On 07/09/2024, in 21st century, 24x7x365 access, Access to Justice (A2J), Artificial Intelligence / Machine Learning / Deep Learning / Algorithms, career development, change, law schools, legal reform, legal technologies, legislatures / government / legal, tools, UK, United States, vendors, by Daniel Christian

Rethinking Legal Ops Skills: Generalists Versus Specialists — from abovethelaw.com by Silvie Tucker and Brandi Pack
This ongoing conversation highlights the changing demands on legal ops practitioners.

A thought-provoking discussion is unfolding in the legal operations community regarding one intriguing question: Should legal operations professionals strive to be generalists or specialists?

The conversation is timely as the marketplace consolidates and companies grapple with the best way to fill valuable and limited headcount allotments. It also highlights the evolving landscape of legal operations and the changing demands on its practitioners.
…
The Evolution of Legal Ops
Over the past decade, the field of legal operations has undergone significant transformation. Initially strictly focused on streamlining processes and reducing costs, the role has expanded to include various responsibilities driven by technological advancements and heightened industry expectations. Key areas of expansion include:

He added: “I have for long been of the view – for decades – that AI will be a vital tool in overcoming the access to justice challenge. Existing and emerging technologies are now very promising.”

Richard Susskind

In A First for Law Practice Management Platforms, Clio Rolls Out An Integrated E-Filing Service in Texas — from lawnext.com by Bob Ambrogi

Last October, during its annual Clio Cloud Conference, the law practice management company Clio announced its plan to roll out an e-filing service, called Clio File, during 2024, starting with Texas, which would make it the first law practice management platform with built-in e-filing. Today, it delivered on that promise, launching Clio File for e-filing in Texas courts.

“Lawyers can now seamlessly submit court documents directly from our flagship practice management product, Clio Manage, streamlining their workflows and simplifying the filing process,” said Chris Stock, vice president of legal content and migrations at Clio. “This is an exciting step in expanding the capabilities of our platform, providing a comprehensive solution for legal documents, from drafting to court filing.”

Just-Launched Quench Uses Gen AI to Bring Greater Speed and Accuracy to Medico-Legal Records Review — from lawnext.com by Bob Ambrogi

A cardiologist with a background in medical technology, computer science and artificial intelligence has launched a product for legal professionals and physician expert witnesses that targets the tedious task of reviewing and analyzing thousands of pages of medical records.

The product, Quench SmartChart, uses generative AI to streamline the medico-legal review process, enabling users to quickly extract, summarize and create chronologies from large, disorganized PDFs of medical records.

The product also includes a natural language chat feature, AskQuench, that lets users interact with and interrogate records to surface essential insights.

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Emerging Trends in Legal Tech [Joyner & Correia]

On 07/08/2024, in 21st century, 24x7x365 access, law schools, Legal operations, legal reform, legal technologies, legislatures / government / legal, United States, vendors, videoconferencing, Virtual courts and law firms, by Daniel Christian

Emerging Trends in Legal Tech — from legaltalknetwork.com by Rob Joyner & Jared D. Correia

Remote Work Continues to Thrive
In recent years, many firms have adopted a “just make it happen” attitude toward virtual meetings, mobility, and remote work. This has enabled law firms to reevaluate the tools and training necessary for legal professionals to utilize technology effectively, improving upon the traditional in-office setup. When executed correctly, this approach can yield long-lasting benefits for the firm. Implementing a remote work policy can help firms access a global talent pool, reduce operational costs, and create a better work-life balance for their staff.

In a recent episode of Legal Toolkit, Rob Joyner, Senior Vice President of Business Development at Centerbase, and Jared D. Correia, Esq., CEO of Red Cave Law Firm Consulting, discuss the debate between remote and in-office work, as well as the latest advancements in AI and other essential legal technology.

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Mary Meeker wants AI and higher education to be partners [Primack]

On 07/08/2024, in 21st century, Artificial Intelligence / Machine Learning / Deep Learning / Algorithms, Asia, colleges, community colleges, higher education, ideas, innovation, reinvent, staying relevant, student-related, surviving, technologies for your home, United States, universities, by Daniel Christian

Mary Meeker wants AI and higher education to be partners — from axios.com by Dan Primack; via Robert Gibson on LinkedIn

Mary Meeker has written her first report in over four years, focused on the relationship between artificial intelligence and U.S. higher education.

Why it matters: Meeker’s annual “Internet Trends” reports were among Silicon Valley’s most cited and consumed documents.

  • Each one dug deep into the new tech economy, with hundreds of pages of slides. The last one was published in 2019.
  • Meeker’s new effort is a shorter attempt (16 pages!) at reconciling tech’s brave new world and America’s economic vitality, with higher ed as the connective tissue.

Excerpts from Meeker’s report:

Actions taken in the next five years will be consequential. It’s important for higher education to take a leadership role, in combination with industry and government. The ramp in artificial intelligence – which leverages the history of learning for learning – affects all forms of learning, teaching, understanding, and decision making. This should be the best of times…

Our first-pass observations on these topics follow. We begin with an overview, followed by thoughts on the unprecedented ramp in AI usage and the magnitude of investment in AI from America’s leading global technology companies. Then we explore ways that this rapidly changing AI landscape may drive transformations in higher education. We hope these add to the discussion.

AI & Universities – Will Masters of Learning Master New Learnings?

In a time of rapid technological change led by American companies, American universities must determine how best to optimize for the future. Many institutions have work to do to meet these changes in demand, per the Burning Glass Institute. As the AI challenge looms, they will need thoughtful plans that balance their rich traditions and research history with the needs of a rapidly evolving marketplace supercharged by innovation. Keeping an eye on the output and trends in various AI skunkworks, such as the team at AI Acceleration at Arizona State, may help universities determine the products and software tools that could transform the educational experience.

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“Bill Gates Reveals Superhuman AI Prediction” [Griscom & Co.] + other items re: AI in general

On 07/03/2024, in 21st century, 24x7x365 access, Africa, Artificial Intelligence / Machine Learning / Deep Learning / Algorithms, Asia, business, communications, content development, aggregation, repositories, corporate / business world, creativity, emerging technologies, entrepreneurship, experimentation, future, game-changing environment, Google, languages and translation, Microsoft, Natural Language Processing (NLP), NVIDIA, Open AI, pace of change, platforms, productivity / tips and tricks, United States, vendors, voice recognition / voice enabled interfaces, by Daniel Christian

Bill Gates Reveals Superhuman AI Prediction — from youtube.com by Rufus Griscom, Bill Gates, Andy Sack, and Adam Brotman

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.

OpenAI Introduces CriticGPT: A New Artificial Intelligence AI Model based on GPT-4 to Catch Errors in ChatGPT’s Code Output — from marktechpost.com

The team has summarized their primary contributions as follows.

  1. 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.
  1. 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.
  1. 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.
  1. 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.

Character.AI now allows users to talk with AI avatars over calls — from techcrunch.com by Ivan Mehta

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 Just Added 110 More Languages — from lifehacker.com by
You can now use the app to communicate in languages you’ve never even heard of.

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.

Listen to your favorite books and articles voiced by Judy Garland, James Dean, Burt Reynolds and Sir Laurence Olivier — from elevenlabs.io
ElevenLabs partners with estates of iconic stars to bring their voices to the Reader App

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Top 10 Emerging Technologies of 2024 [World Economic Forum]

On 06/28/2024, in 21st century, corporate / business world, disruption, economics, emerging technologies, engineering, entrepreneurship, future, innovation, science, society, by Daniel Christian

Top 10 Emerging Technologies of 2024 — from weforum.org by the World Economic Forum

The Top 10 Emerging Technologies report is a vital source of strategic intelligence. First published in 2011, it draws on insights from scientists, researchers and futurists to identify 10 technologies poised to significantly influence societies and economies. These emerging technologiesare disruptive, attractive to investors and researchers, and expected to achieve considerable scale within five years. This edition expands its analysis by involving over 300 experts from the Forum’s Global Future Councils and a global network of comprising over 2,000 chief editors worldwide from top institutions through Frontiers, a leading publisher of academic research.

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Several items re: text-to-video (and even images-to-video)

On 06/14/2024, in 21st century, 24x7x365 access, Artificial Intelligence / Machine Learning / Deep Learning / Algorithms, Asia, communications, creativity, digital audio, digital learning, digital video, emerging technologies, engagement / engaging students, media/film, multimedia, United States, vendors, by Daniel Christian

Dream Machine is an AI model that makes high quality, realistic videos fast from text and images.

It is a highly scalable and efficient transformer model trained directly on videos making it capable of generating physically accurate, consistent and eventful shots. Dream Machine is our first step towards building a universal imagination engine and it is available to everyone now!

Text-to-Video Emergence for July 2024 — from ai-supremacy.com by Michael Spencer
Who needs Sora?

There have been some incredible teasers in the text-to-video arena of Generative AI. Namely I’m watching:

“OpenAI seems to have the ability to create video in Sora, send it to ChatGPT for a script, use Voice Engine for voice over and put it all together.”
byu/MassiveWasabi insingularity

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Daniel Christian: My slides for the Educational Technology Organization of Michigan’s Spring 2024 Retreat

On 06/13/2024, in 21st century, 24x7x365 access, Access to Justice (A2J), adjunct faculty, Adobe, adult learning, Artificial Intelligence / Machine Learning / Deep Learning / Algorithms, bots, business side of he, change, cloud-based computing / apps / other cloud-related, colleges, community colleges, content development, aggregation, repositories, corporate / business world, corporate universities / corporate training, cost of getting a degree, creativity, culture, dangers of the status quo, Daniel S. Christian, data related items, design, digital audio, digital learning, digital photography, digital storytelling, digital video, education technology, emerging technologies, experimentation, faculty, future of higher education, game-changing environment, heutagogy, higher education, homeschooling/homeschoolers, human-computer interaction (HCI), ideas, innovation, instructional design, intelligent systems, intelligent tutoring, K-12 related, learning, learning agents, learning ecosystem, Learning Experience Design, Learning from the Living [Class] Room, liberal arts, library / librarians, lifelong learning, media/film, microlearning, more voice more choice more control, multimedia, Natural Language Processing (NLP), new business models, NVIDIA, online media, online tutoring, Open AI, pace of change, personalized/customized learning, platforms, productivity / tips and tricks, professional development, reinvent, skills, smart/connected TV, society, staying relevant, streams of content, student-related, surviving, teachers, technologies for your home, technology (general), the downsides of how people use tech, tools, training / L&D, United States, universities, user experience (UX), user interface design, vendors, vision/possibilities, web-based collaboration, workplace, by Daniel Christian

From DSC:
Last Thursday, I presented at the Educational Technology Organization of Michigan’s Spring 2024 Retreat. I wanted to pass along my slides to you all, in case they are helpful to you.

Topics/agenda:

  • Topics & resources re: Artificial Intelligence (AI)
    • Top multimodal players
    • Resources for learning about AI
    • Applications of AI
    • My predictions re: AI
  • The powerful impact of pursuing a vision
  • A potential, future next-gen learning platform
  • Share some lessons from my past with pertinent questions for you all now
  • The significant impact of an organization’s culture
  • Bonus material: Some people to follow re: learning science and edtech

 

Education Technology Organization of Michigan -- ETOM -- Spring 2024 Retreat on June 6-7

PowerPoint slides of Daniel Christian's presentation at ETOM

Slides of the presentation (.PPTX)
Slides of the presentation (.PDF)

 

Plus several more slides re: this vision.

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Doing Stuff with AI: Opinionated Midyear Edition [Mollick]

On 06/06/2024, in 21st century, 24x7x365 access, adjunct faculty, Artificial Intelligence / Machine Learning / Deep Learning / Algorithms, colleges, community colleges, content development, aggregation, repositories, education technology, emerging technologies, experimentation, faculty, higher education, human-computer interaction (HCI), learning ecosystem, Learning Experience Design, pedagogy, productivity / tips and tricks, teaching & learning, tools, United States, universities, vendors, by Daniel Christian

Doing Stuff with AI: Opinionated Midyear Edition — from oneusefulthing.org by Ethan Mollick

Every six months or so, I write a guide to doing stuff with AI. A lot has changed since the last guide, while a few important things have stayed the same. It is time for an update.
…
To learn to do serious stuff with AI, choose a Large Language Model and just use it to do serious stuff – get advice, summarize meetings, generate ideas, write, produce reports, fill out forms, discuss strategy – whatever you do at work, ask the AI to help. A lot of people I talk to seem to get the most benefit from engaging the AI in conversation, often because it gives good advice, but also because just talking through an issue yourself can be very helpful. I know this may not seem particularly profound, but “always invite AI to the table” is the principle in my book that people tell me had the biggest impact on them. You won’t know what AI can (and can’t) do for you until you try to use it for everything you do. And don’t sweat prompting too much, though here are some useful tips, just start a conversation with AI and see where it goes.

You do need to use one of the most advanced frontier models, however.

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“The state of AI in early 2024” [McKinsey] + other AI-related items

On 06/03/2024, in 21st century, Artificial Intelligence / Machine Learning / Deep Learning / Algorithms, communications, creativity, design, emerging technologies, experimentation, graphics, media/film, NVIDIA, productivity / tips and tricks, social media, tools, United States, vendors, workplace, by Daniel Christian

The state of AI in early 2024: Gen AI adoption spikes and starts to generate value — from mckinsey.com
As generative AI adoption accelerates, survey respondents report measurable benefits and increased mitigation of the risk of inaccuracy. A small group of high performers lead the way.

If 2023 was the year the world discovered generative AI (gen AI), 2024 is the year organizations truly began using—and deriving business value from—this new technology. In the latest McKinsey Global Survey on AI, 65 percent of respondents report that their organizations are regularly using gen AI, nearly double the percentage from our previous survey just ten months ago. Respondents’ expectations for gen AI’s impact remain as high as they were last year, with three-quarters predicting that gen AI will lead to significant or disruptive change in their industries in the years ahead.

Organizations are already seeing material benefits from gen AI use, reporting both cost decreases and revenue jumps in the business units deploying the technology. The survey also provides insights into the kinds of risks presented by gen AI—most notably, inaccuracy—as well as the emerging practices of top performers to mitigate those challenges and capture value.
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What’s the future of AI? — from mckinsey.com
AI is here to stay. To outcompete in the future, organizations and individuals alike need to get familiar fast. This series of McKinsey Explainers dives deep into the seven technologies that are already shaping the years to come.

We’re in the midst of a revolution. Just as steam power, mechanized engines, and coal supply chains transformed the world in the 18th century, AI technology is currently changing the face of work, our economies, and society as we know it. We don’t know exactly what the future will look like. But we do know that these seven technologies will play a big role.
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Generate an e-book in minutes with groqbook — from heatherbcooper.substack.com by Heather Cooper
Plus new Canva workflow tools, Perplexity Pages, and more
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Introducing a whole new Canva, designed for work

The new Canva
Canva announced “a whole new Canva” to improve workplace collaborative creation and a revamped platform to simplify its tools for anyone to use.

At Canva Create, several AI features were announced that enhance the design and content creation process:

  1. Magic Design: Upload an image and select a style to get a curated selection of personalized templates.
  2. Magic Write: An AI-powered copywriting assistant that can generate written content from a text prompt, useful for presentations and website copy.
  3. Magic Eraser: This feature can remove unwanted objects or backgrounds from images.
  4. Magic Edit: Users can swap an object with something else entirely using generative AI.
  5. Beat Sync: Automatically matches video footage to a soundtrack of your choice.
  6. Translate: Automatically translates text in designs to over 100 different languages.

Tools are the next big thing in AI — from link.wired.com by Will Knight

Things might get more interesting in business settings as AI companies start deploying so-called “AI agents,” which can take action by operating other software on a computer or via the internet.

Anthropic, a competitor to OpenAI, announced a major new product today that attempts to prove the thesis that tool use is needed for AI’s next leap in usefulness.

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Microsoft teams with Khan Academy + other items re: AI in our learning ecosystems

On 06/03/2024, in 21st century, Artificial Intelligence / Machine Learning / Deep Learning / Algorithms, Asia, bots, cloud-based computing / apps / other cloud-related, colleges, community colleges, computer science, data related items, education technology, emerging technologies, faculty, future of higher education, game-changing environment, Google, higher education, human-computer interaction (HCI), innovation, instructional design, intelligent systems, intelligent tutoring, IT in HE, law schools, learning, learning ecosystem, Learning Experience Design, Learning from the Living [Class] Room, lifelong learning, Microsoft, Open AI, pedagogy, platforms, teaching & learning, tools, trends, Uncategorized, United States, universities, vendors, by Daniel Christian

Microsoft teams with Khan Academy to make its AI tutor free for K-12 educators and will develop a Phi-3 math model — from venturebeat.com by Ken Yeung

Microsoft is partnering with Khan Academy in a multifaceted deal to demonstrate how AI can transform the way we learn. The cornerstone of today’s announcement centers on Khan Academy’s Khanmigo AI agent. Microsoft says it will migrate the bot to its Azure OpenAI Service, enabling the nonprofit educational organization to provide all U.S. K-12 educators free access to Khanmigo.

In addition, Microsoft plans to use its Phi-3 model to help Khan Academy improve math tutoring and collaborate to generate more high-quality learning content while making more courses available within Microsoft Copilot and Microsoft Teams for Education.

One-Third of Teachers Have Already Tried AI, Survey Finds — from the74million.org by Kevin Mahnken
A RAND poll released last month finds English and social studies teachers embracing tools like ChatGPT.

One in three American teachers have used artificial intelligence tools in their teaching at least once, with English and social studies teachers leading the way, according to a RAND Corporation survey released last month. While the new technology isn’t yet transforming how kids learn, both teachers and district leaders expect that it will become an increasingly common feature of school life.

Professors Try ‘Restrained AI’ Approach to Help Teach Writing — from edsurge.com by Jeffrey R. Young
Can ChatGPT make human writing more efficient, or is writing an inherently time-consuming process best handled without AI tools?

This article is part of the guide: For Education, ChatGPT Holds Promise — and Creates Problems.

When ChatGPT emerged a year and half ago, many professors immediately worried that their students would use it as a substitute for doing their own written assignments — that they’d click a button on a chatbot instead of doing the thinking involved in responding to an essay prompt themselves.

But two English professors at Carnegie Mellon University had a different first reaction: They saw in this new technology a way to show students how to improve their writing skills.

“They start really polishing way too early,” Kaufer says. “And so what we’re trying to do is with AI, now you have a tool to rapidly prototype your language when you are prototyping the quality of your thinking.”

He says the concept is based on writing research from the 1980s that shows that experienced writers spend about 80 percent of their early writing time thinking about whole-text plans and organization and not about sentences.

On Building AI Models for Education — from aieducation.substack.com by Claire Zau
Google’s LearnLM, Khan Academy/MSFT’s Phi-3 Models, and OpenAI’s ChatGPT Edu

This piece primarily breaks down how Google’s LearnLM was built, and takes a quick look at Microsoft/Khan Academy’s Phi-3 and OpenAI’s ChatGPT Edu as alternative approaches to building an “education model” (not necessarily a new model in the latter case, but we’ll explain). Thanks to the public release of their 86-page research paper, we have the most comprehensive view into LearnLM. Our understanding of Microsoft/Khan Academy small language models and ChatGPT Edu is limited to the information provided through announcements, leaving us with less “under the hood” visibility into their development.

AI tutors are quietly changing how kids in the US study, and the leading apps are from China — from techcrunch.com by Rita Liao

Answer AI is among a handful of popular apps that are leveraging the advent of ChatGPT and other large language models to help students with everything from writing history papers to solving physics problems. Of the top 20 education apps in the U.S. App Store, five are AI agents that help students with their school assignments, including Answer AI, according to data from Data.ai on May 21.

Is your school behind on AI? If so, there are practical steps you can take for the next 12 months — from stefanbauschard.substack.com by Stefan Bauschard

If your school (district) or university has not yet made significant efforts to think about how you will prepare your students for a World of AI, I suggest the following steps:

July 24 – Administrator PD & AI Guidance
In July, administrators should receive professional development on AI, if they haven’t already. This should include…

August 24 –Professional Development for Teachers and Staff…
Fall 24 — Parents; Co-curricular; Classroom experiments…
December 24 — Revision to Policy…

New ChatGPT Version Aiming at Higher Ed — from insidehighered.com by Lauren Coffey
ChatGPT Edu, emerging after initial partnerships with several universities, is prompting both cautious optimism and worries.

OpenAI unveiled a new version of ChatGPT focused on universities on Thursday, building on work with a handful of higher education institutions that partnered with the tech giant.

The ChatGPT Edu product, expected to start rolling out this summer, is a platform for institutions intended to give students free access. OpenAI said the artificial intelligence (AI) toolset could be used for an array of education applications, including tutoring, writing grant applications and reviewing résumés.

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NVIDIA CEO Jensen Huang Keynote at COMPUTEX 2024 [Streamed live on Jun 2, 2024]

On 06/03/2024, in 21st century, Artificial Intelligence / Machine Learning / Deep Learning / Algorithms, Asia, bots, NVIDIA, tools, United States, vendors, by Daniel Christian

Via The Rundown AI

The Rundown: Nvidia CEO Jensen Huang just announced a series of new AI announcements during a keynote at the Computex conference, including next-gen ‘Rubin’ chips, a new AI gaming assistant, and AI tools for creating lifelike avatars.

The details:

  • Nvidia’s ‘Rubin’ platform is slated for 2026, with the ‘Rubin Ultra’ coming a year later as part of what Huang called a “new industrial revolution”.
  • Nvidia also showed off Project G-Assist, an AI gaming assistant that provides context-aware help and personalized responses for PC games.
  • The company also introduced ACE, a suite of AI services that simplify the creation of digital avatars for applications like customer service and healthcare.

More re: Nvidia:

  • Nvidia and AMD announced new next-generation AI chips — from qz.com by Britney Nguyen
    Nvidia CEO Jensen Huang announced the company’s next AI platform, called Rubin
  • ‘Accelerate Everything,’ NVIDIA CEO Says Ahead of COMPUTEX — from blogs.nvidia.com by Brian Caulfield
    Emphasizing cost reduction and sustainability, Huang detailed new semiconductors, software and systems to power data centers, factories, consumer devices, robots and more, driving a new industrial revolution.
  • Nvidia Unveils Next-Generation Rubin AI Platform for 2026 — from bloomberg.com by Ian King and Vlad Savov
    CEO Jensen Huang reveals plans for annual upgrade cycle | Company details plans for Blackwell Ultra and subsequent chips
    Nvidia Corp. Chief Executive Officer Jensen Huang said the company plans to upgrade its AI accelerators every year, announcing a Blackwell Ultra chip for 2025 and a next-generation platform in development called Rubin for 2026.
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