From DSC:
I love this little guy’s expressions too!
On 08/26/2024,
in accessibility / UDL, adjunct faculty, Artificial Intelligence / Machine Learning / Deep Learning / Algorithms, Bias | Diversity Equity & Inclusion (DE&I), business, career development, change, colleges, community colleges, content development, aggregation, repositories, corporate / business world, corporate universities / corporate training, digital audio, digital storytelling, digital video, education technology, emerging technologies, experimentation, faculty, graphics, higher education, human-computer interaction (HCI), ideas, innovation, instructional design, intelligent systems, IT in HE, K-12 related, law schools, learning ecosystem, Learning Experience Design, multimedia, music, neurodivergent/special needs, pace of change, productivity / tips and tricks, skills, student-related, teaching & learning, training / L&D, United States, universities, workplace,
by Daniel Christian
What Students Want: Key Results from DEC Global AI Student Survey 2024 — from digitaleducationcouncil.com by Digital Education Council
- 86% of students globally are regularly using AI in their studies, with 54% of them using AI on a weekly basis, the recent Digital Education Council Global AI Student Survey found.
- ChatGPT was found to be the most widely used AI tool, with 66% of students using it, and over 2 in 3 students reported using AI for information searching.
- Despite their high rates of AI usage, 1 in 2 students do not feel AI ready. 58% reported that they do not feel that they had sufficient AI knowledge and skills, and 48% do not feel adequately prepared for an AI-enabled workplace.
Chatting with WEF about ChatGPT in the classroom — from futureofbeinghuman.com by Andrew Maynard
A short video on generative AI in education from the World Economic Forum
The Post-AI Instructional Designer — from drphilippahardman.substack.com by Dr. Philippa Hardman
How the ID role is changing, and what this means for your key skills, roles & responsibilities
Specifically, the study revealed that teachers who reported most productivity gains were those who used AI not just for creating outputs (like quizzes or worksheets) but also for seeking input on their ideas, decisions and strategies.
Those who engaged with AI as a thought partner throughout their workflow, using it to generate ideas, define problems, refine approaches, develop strategies and gain confidence in their decisions gained significantly more from their collaboration with AI than those who only delegated functional tasks to AI.
Leveraging Generative AI for Inclusive Excellence in Higher Education — from er.educause.edu by Lorna Gonzalez, Kristi O’Neil-Gonzalez, Megan Eberhardt-Alstot, Michael McGarry and Georgia Van Tyne
Drawing from three lenses of inclusion, this article considers how to leverage generative AI as part of a constellation of mission-centered inclusive practices in higher education.
The hype and hesitation about generative artificial intelligence (AI) diffusion have led some colleges and universities to take a wait-and-see approach.Footnote1 However, AI integration does not need to be an either/or proposition where its use is either embraced or restricted or its adoption aimed at replacing or outright rejecting existing institutional functions and practices. Educators, educational leaders, and others considering academic applications for emerging technologies should consider ways in which generative AI can complement or augment mission-focused practices, such as those aimed at accessibility, diversity, equity, and inclusion. Drawing from three lenses of inclusion—accessibility, identity, and epistemology—this article offers practical suggestions and considerations that educators can deploy now. It also presents an imperative for higher education leaders to partner toward an infrastructure that enables inclusive practices in light of AI diffusion.
An example way to leverage AI:
How to Leverage AI for Identity Inclusion
Educators can use the following strategies to intentionally design instructional content with identity inclusion in mind.
- Provide a GPT or AI assistant with upcoming lesson content (e.g., lecture materials or assignment instructions) and ask it to provide feedback (e.g., troublesome vocabulary, difficult concepts, or complementary activities) from certain perspectives. Begin with a single perspective (e.g., first-time, first-year student), but layer in more to build complexity as you interact with the GPT output.
Gen AI’s next inflection point: From employee experimentation to organizational transformation — from mckinsey.com by Charlotte Relyea, Dana Maor, and Sandra Durth with Jan Bouly
As many employees adopt generative AI at work, companies struggle to follow suit. To capture value from current momentum, businesses must transform their processes, structures, and approach to talent.
To harness employees’ enthusiasm and stay ahead, companies need a holistic approach to transforming how the whole organization works with gen AI; the technology alone won’t create value.
Our research shows that early adopters prioritize talent and the human side of gen AI more than other companies (Exhibit 3). Our survey shows that nearly two-thirds of them have a clear view of their talent gaps and a strategy to close them, compared with just 25 percent of the experimenters. Early adopters focus heavily on upskilling and reskilling as a critical part of their talent strategies, as hiring alone isn’t enough to close gaps and outsourcing can hinder strategic-skills development. Finally, 40 percent of early-adopter respondents say their organizations provide extensive support to encourage employee adoption, versus 9 percent of experimenter respondents.
7 Ways to Use AI Music in Your Classroom — from classtechtips.com by Monica Burns
Change blindness — from oneusefulthing.org by Ethan Mollick
21 months later
I don’t think anyone is completely certain about where AI is going, but we do know that things have changed very quickly, as the examples in this post have hopefully demonstrated. If this rate of change continues, the world will look very different in another 21 months. The only way to know is to live through it.
My AI Breakthrough — from mgblog.org by Miguel Guhlin
Over the subsequent weeks, I’ve made other adjustments, but that first one was the one I asked myself:
- What are you doing?
- Why are you doing it that way?
- How could you change that workflow with AI?
- Applying the AI to the workflow, then asking, “Is this what I was aiming for? How can I improve the prompt to get closer?”
- Documenting what worked (or didn’t). Re-doing the work with AI to see what happened, and asking again, “Did this work?”
So, something that took me WEEKS of hard work, and in some cases I found impossible, was made easy. Like, instead of weeks, it takes 10 minutes. The hard part? Building the prompt to do what I want, fine-tuning it to get the result. But that doesn’t take as long now.
On 05/12/2024,
in Artificial Intelligence / Machine Learning / Deep Learning / Algorithms, business, content development, aggregation, repositories, corporate / business world, data related items, design, digital audio, digital learning, digital photography, digital storytelling, digital video, education technology, emerging technologies, entrepreneurship, graphics, health, marketing/social marketing, Microsoft, multimedia, music, robotics, tools, vendors, writing,
by Daniel Christian
Microsoft’s new ChatGPT competitor… — from The Rundown AI
The Rundown: Microsoft is reportedly developing a massive 500B parameter in-house LLM called MAI-1, aiming to compete with top AI models from OpenAI, Anthropic, and Google.
2024 | The AI Founder Report | Business Impact, Use cases, & Tools — from Hampton; via The Neuron
Hampton runs a private community for high-growth tech founders and CEOs. We asked our community of founders and owners how AI has impacted their business and what tools they use
Here’s a sneak peek of what’s inside:
- The budgets they set aside for AI research and development
- The most common (and obscure) tools founders are using
- Measurable business impacts founders have seen through using AI
- Where they are purposefully not using AI and much more
2024 Work Trend Index Annual Report from Microsoft and LinkedIn
AI at Work Is Here. Now Comes the Hard Part Employees want AI, leaders are looking for a path forward.
Also relevant, see Microsoft’s web page on this effort:
To help leaders and organizations overcome AI inertia, Microsoft and LinkedIn looked at how AI will reshape work and the labor market broadly, surveying 31,000 people across 31 countries, identifying labor and hiring trends from LinkedIn, and analyzing trillions of Microsoft 365 productivity signals as well as research with Fortune 500 customers. The data points to insights every leader and professional needs to know—and actions they can take—when it comes to AI’s implications for work.
On 04/16/2024,
in adjunct faculty, art, Artificial Intelligence / Machine Learning / Deep Learning / Algorithms, bots, colleges, communities of practice, community colleges, computer science, content development, aggregation, repositories, design, digital audio, digital learning, digital storytelling, digital video, education technology, emerging technologies, engagement / engaging students, experimentation, faculty, future, future of higher education, game-changing environment, Google, higher education, human-computer interaction (HCI), IBM, ideas, innovation, instructional design, intelligent systems, intelligent tutoring, IT in HE, learning agents, learning ecosystem, Learning Experience Design, Learning from the Living [Class] Room, liberal arts, media/film, Microsoft, multimedia, music, Natural Language Processing (NLP), new media literacies, online media, online tutoring, Open AI, open courseware and systems, pedagogy, platforms, productivity / tips and tricks, teaching & learning, tools, United States, universities, vendors,
by Daniel Christian
AI RESOURCES AND TEACHING (Kent State University) — from aiadvisoryboards.wordpress.com
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.
A Cautionary AI Tale: Why IBM’s Dazzling Watson Supercomputer Made a Lousy Tutor — from the74million.org by Greg Toppo
With a new race underway to create the next teaching chatbot, IBM’s abandoned 5-year, $100M ed push offers lessons about AI’s promise and its limits.
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.
…
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.
On 03/19/2024,
in Artificial Intelligence / Machine Learning / Deep Learning / Algorithms, Bias | Diversity Equity & Inclusion (DE&I), curriculum, education, education technology, emerging technologies, faith, health, K-12 related, learning ecosystem, Learning Experience Design, music, society, sociology, teachers, trends, United States, youth,
by Daniel Christian
The Edtech Insiders Rundown of SXSW EDU 2024 — from edtechinsiders.substack.com by Ben Kornell, Alex Sarlin, and Sarah Morin
And more on our ASU + GSV Happy Hour, GenAI in edtech market valuations, and interviews from The Common Sense Summit.
Theme 1: The Kids Are Not Alright
This year’s SXSW EDU had something for everyone, with over a dozen “Program Tracks.” However, the one theme that truly connected the entire conference was mental health.
36 sessions were specifically tagged with mental health and wellness, but in sessions on topics ranging from literacy to edtech to civic engagement, presenters continued to come back again and again to the mental health crisis amongst teens and young adults.
…
Theme 2: Aye AI, Captain
Consistent with past conferences, this year leaned in on the K12 education world. As expected, one of the hottest topics for K12 was the role of AI (or lack thereof) in schools. Key takeaways included…
AI Literacy: A New Graduation Requirement and Civic Imperative — from gettingsmart.com by Tom Vander Ark and Mason Pashia
Key Points
- There is still time to ensure that all of your students graduate with an understanding of how AI works, why it is important and how to best use it.
What would it look like to make a commitment that come graduation every senior will have at least basic AI literacy? This includes an appreciation of AI as a creation engine and learning partner but also an understanding of the risks of deepfakes and biased curation. We’re entering a time where to quote Ethan Mollick “You can’t trust anything you read or see ever again.” Whether formal or informal, it’s time to start building AI literacy.
New Alabama Education Law Represents Small But Significant Advance — from forbes.com by Jeanne Allen
More than 50 years later, across the street from the church and concerned with declining education and the pace of social change, brothers Anthony and Fred Brock founded Valiant Cross Academy, an all-male academy aimed at “helping boys of color become men of valor.”
Valiant Cross embodies King’s hopes, pursuing the dream that its students will be judged by the content of their character, not the color of their skin, and working to ensure that they are well prepared for productive lives filled with accomplishment and purpose.
“We’re out to prove that it’s an opportunity gap, not an achievement gap” says head of school Anthony Brock. And they have. In 2022, 100 percent of Valiant seniors graduated from the academy, pursuing post-graduate options, enrolling in either four- or two-year college, or established career-training programs.
On 03/16/2024,
in art, career development, collaboration, content development, aggregation, repositories, creativity, design, digital audio, digital storytelling, digital video, drama/theater, educational games / serious games, media/film, multimedia, music, play, skills, story, storytelling, user experience (UX), vendors, vision/possibilities,
by Daniel Christian
Below are some items for those creatives who might be interested in telling stories, designing games, crafting audio-based experiences, composing music, developing new worlds using 3D graphics, and more.
CREATING THE SOUNDS OF LIGHTFALL — from bungie.net; via Mr. Robert Bender
The sounds of any game can make or break the experience for its players. Many of our favorite adventures come roaring back into our minds when we hear a familiar melody, or maybe it’s a special sound effect that reminds us of our time performing a particularly heroic feat… or the time we just caused some havoc with friends. With Lightfall sending Guardians to explore the new destination of Neomuna, there’s an entire universe hidden away within the sounds—both orchestral and diegetic—for Guardians to uncover and immerse themselves in. We recently assembled some of Destiny’s finest sound designers and composers to dive a little bit deeper into the stunning depths of Neomuna’s auditory experience.
Before diving into the interview with our incredible team, we wanted to make sure you have seen the Lightfall music documentary that went out shortly after the expansion’s release. This short video is a great introduction to how our team worked to create the music of Lightfall and is a must-see for audiophiles and Destiny fans alike.
.
.
Game Dev Diaries: The Hidden World of Audio — from lianaruppert.medium.com by Liana Ruppert, via Mr. Robert Bender
Every game has a story to tell, a journey to take players through that — if done well — can inspire wonderful memories that last a lifetime. Unlike other storytelling mediums, the art of video games is an intricate interweaving of experiences, including psychological cues that are designed to entrance players and make them feel like they’re a part of the story. One way this is achieved is through the art of audio. And no, we aren’t just talking about the many incredible soundtracks out there, we’re talking about the oftentimes overlooked universe of audio design.
…
What does an audio designer do?
“Number one? We don’t work on music. That’s a thing almost everyone thinks every audio designer does,” jokes Nyte when opening up about beginning her quest into the audio world. “That, or for a game like Destiny, people just assume we only work on weapon sounds and nothing else. Which, [Juan] Uribe does, but a lot of us don’t. There is this entire gamut of other sounds that are in-game that people don’t really notice. Some do, and that’s always cool, but audio is about all sounds coming together for a ‘whole’ audio experience.”
Also relevant/see:
The New Stack of Entertainment, Tensions of the AI Age, & Navigating Cambrian Explosions — from implications.com by Scott Belsky
Let’s explore some fun albeit heretical Hollywood possibilities, face key tensions, and talk about how to stay grounded with customer needs.
On the Transformation of Entertainment
What company will be the Pixar of the AI era? What talent agency will be the CAA of the AI era? How fast can the entertainment industry evolve to natively leverage AI, and what parts will be disrupted by the industry’s own ambivalence? Or are all of these questions myopic…and should we anticipate a wave of entirely new categories of entertainment?
We are starting to see material adoption of AI tools across many industries, including media and entertainment. No doubt, these tools will transform the processes behind generating content. But what entirely new genres of content might emerge? The platform shift to AI-based workflows might give rise to entirely new types of companies that transform entertainment as we know it – from actor representation, Hollywood economics, consumption devices and experiences, to the actual mediums of entertainment themselves. Let’s explore just a few of the more edgy implications:
On 03/05/2024,
in 21st century, Adobe, Artificial Intelligence / Machine Learning / Deep Learning / Algorithms, Asia, creativity, digital audio, digital video, emerging technologies, innovation, legislatures / government / legal, multimedia, music, NVIDIA, Open AI, platforms, policy, research, society, the downsides of how people use tech, United States, vendors,
by Daniel Christian
How AI Is Already Transforming the News Business — from politico.com by Jack Shafer
An expert explains the promise and peril of artificial intelligence.
The early vibrations of AI have already been shaking the newsroom. One downside of the new technology surfaced at CNET and Sports Illustrated, where editors let AI run amok with disastrous results. Elsewhere in news media, AI is already writing headlines, managing paywalls to increase subscriptions, performing transcriptions, turning stories in audio feeds, discovering emerging stories, fact checking, copy editing and more.
Felix M. Simon, a doctoral candidate at Oxford, recently published a white paper about AI’s journalistic future that eclipses many early studies. Swinging a bat from a crouch that is neither doomer nor Utopian, Simon heralds both the downsides and promise of AI’s introduction into the newsroom and the publisher’s suite.
Unlike earlier technological revolutions, AI is poised to change the business at every level. It will become — if it already isn’t — the beginning of most story assignments and will become, for some, the new assignment editor. Used effectively, it promises to make news more accurate and timely. Used frivolously, it will spawn an ocean of spam. Wherever the production and distribution of news can be automated or made “smarter,” AI will surely step up. But the future has not yet been written, Simon counsels. AI in the newsroom will be only as bad or good as its developers and users make it.
Also see:
Artificial Intelligence in the News: How AI Retools, Rationalizes, and Reshapes Journalism and the Public Arena — from cjr.org by Felix Simon
TABLE OF CONTENTS
- Executive Summary
- Introduction
- Chapter I: AI in the News: Reshaping Production and Distribution?
- Chapter II: Platform Companies and AI in the News
- Chapter III: Drawing the Loose Ends Together
- Conclusion
Nvidia just launched Chat with RTX
It leaves ChatGPT in the dust.
Here are 7 incredible things RTX can do: pic.twitter.com/H6K4oJtNcH
— Poonam Soni (@CodeByPoonam) March 2, 2024
EMO: Emote Portrait Alive – Generating Expressive Portrait Videos with Audio2Video Diffusion Model under Weak Conditions — from humanaigc.github.io Linrui Tian, Qi Wang, Bang Zhang, and Liefeng Bo
We proposed EMO, an expressive audio-driven portrait-video generation framework. Input a single reference image and the vocal audio, e.g. talking and singing, our method can generate vocal avatar videos with expressive facial expressions, and various head poses, meanwhile, we can generate videos with any duration depending on the length of input video.
Adobe previews new cutting-edge generative AI tools for crafting and editing custom audio — from blog.adobe.com by the Adobe Research Team
New experimental work from Adobe Research is set to change how people create and edit custom audio and music. An early-stage generative AI music generation and editing tool, Project Music GenAI Control allows creators to generate music from text prompts, and then have fine-grained control to edit that audio for their precise needs.
“With Project Music GenAI Control, generative AI becomes your co-creator. It helps people craft music for their projects, whether they’re broadcasters, or podcasters, or anyone else who needs audio that’s just the right mood, tone, and length,” says Nicholas Bryan, Senior Research Scientist at Adobe Research and one of the creators of the technologies.
How AI copyright lawsuits could make the whole industry go extinct — from theverge.com by Nilay Patel
The New York Times’ lawsuit against OpenAI is part of a broader, industry-shaking copyright challenge that could define the future of AI.
There’s a lot going on in the world of generative AI, but maybe the biggest is the increasing number of copyright lawsuits being filed against AI companies like OpenAI and Stability AI. So for this episode, we brought on Verge features editor Sarah Jeong, who’s a former lawyer just like me, and we’re going to talk about those cases and the main defense the AI companies are relying on in those copyright cases: an idea called fair use.
FCC officially declares AI-voiced robocalls illegal — from techcrunch.com by Devom Coldewey
The FCC’s war on robocalls has gained a new weapon in its arsenal with the declaration of AI-generated voices as “artificial” and therefore definitely against the law when used in automated calling scams. It may not stop the flood of fake Joe Bidens that will almost certainly trouble our phones this election season, but it won’t hurt, either.
The new rule, contemplated for months and telegraphed last week, isn’t actually a new rule — the FCC can’t just invent them with no due process. Robocalls are just a new term for something largely already prohibited under the Telephone Consumer Protection Act: artificial and pre-recorded messages being sent out willy-nilly to every number in the phone book (something that still existed when they drafted the law).
EIEIO…Chips Ahoy! — from dashmedia.co by Michael Moe, Brent Peus, and Owen Ritz
Here Come the AI Worms — from wired.com by Matt Burgess
Security researchers created an AI worm in a test environment that can automatically spread between generative AI agents—potentially stealing data and sending spam emails along the way.
Now, in a demonstration of the risks of connected, autonomous AI ecosystems, a group of researchers have created one of what they claim are the first generative AI worms—which can spread from one system to another, potentially stealing data or deploying malware in the process. “It basically means that now you have the ability to conduct or to perform a new kind of cyberattack that hasn’t been seen before,” says Ben Nassi, a Cornell Tech researcher behind the research.
On 02/29/2024,
in Adobe, digital audio, drama/theater, media/film, multimedia, music, tools, vendors,
by Daniel Christian
Adobe previews new cutting-edge generative AI tools for crafting and editing custom audio — from blog.adobe.com by Adobe Research Team
New experimental work from Adobe Research is set to change how people create and edit custom audio and music. An early-stage generative AI music generation and editing tool, Project Music GenAI Control allows creators to generate music from text prompts, and then have fine-grained control to edit that audio for their precise needs.
On 02/28/2024,
in 21st century, 24x7x365 access, art, communications, content development, aggregation, repositories, digital audio, digital storytelling, digital video, drama/theater, emerging technologies, Emotion, engagement / engaging students, entrepreneurship, experimentation, future, media/film, multimedia, music, Natural Language Processing (NLP), new media literacies, participation, platforms, play, productivity / tips and tricks, story, storytelling, tools, vendors, vision/possibilities, voice recognition / voice enabled interfaces,
by Daniel Christian
How a Hollywood Director Uses AI to Make Movies — from every.to by Dan Shipper
Dave Clarke shows us the future of AI filmmaking
Dave told me that he couldn’t have made Borrowing Time without AI—it’s an expensive project that traditional Hollywood studios would never bankroll. But after Dave’s short went viral, major production houses approached him to make it a full-length movie. I think this is an excellent example of how AI is changing the art of filmmaking, and I came out of this interview convinced that we are on the brink of a new creative age.
We dive deep into the world of AI tools for image and video generation, discussing how aspiring filmmakers can use them to validate their ideas, and potentially even secure funding if they get traction. Dave walks me through how he has integrated AI into his movie-making process, and as we talk, we make a short film featuring Nicolas Cage using a haunted roulette ball to resurrect his dead movie career, live on the show.
On 01/14/2024,
in blogs / blogging / vlogging, design, digital audio, digital learning, digital photography, digital storytelling, digital video, graphics, multimedia, music, new media literacies, platforms, podcasting, productivity / tips and tricks, tools, vendors, web design and production,
by Daniel Christian
Video, Images and Sounds – Good Tools #14 — from goodtools.substack.com by Robin Good
Specifically in this issue:
- Free Image Libraries
- Image Search Engines
- Free Illustrations
- Free Icons
- Free Stock Video Footage
- Free Music for Video and Podcasts
On 12/19/2023,
in Adobe, Amazon, Artificial Intelligence / Machine Learning / Deep Learning / Algorithms, Asia, bots, digital audio, digital video, emerging technologies, Facebook / Meta Platforms, Google, IBM, Microsoft, multimedia, music, NVIDIA, United States, vendors,
by Daniel Christian
Prompt engineering — from platform.openai.com
This guide shares strategies and tactics for getting better results from large language models (sometimes referred to as GPT models) like GPT-4. The methods described here can sometimes be deployed in combination for greater effect. We encourage experimentation to find the methods that work best for you.
Some of the examples demonstrated here currently work only with our most capable model, gpt-4. In general, if you find that a model fails at a task and a more capable model is available, it’s often worth trying again with the more capable model.
You can also explore example prompts which showcase what our models are capable of…
Preparedness — from openai.com
The study of frontier AI risks has fallen far short of what is possible and where we need to be. To address this gap and systematize our safety thinking, we are adopting the initial version of our Preparedness Framework. It describes OpenAI’s processes to track, evaluate, forecast, and protect against catastrophic risks posed by increasingly powerful models.
Every Major Tech Development From 2023 — from newsletter.thedailybite.co
The yearly tech round-up, Meta’s smart glasses upgrade, and more…
Here’s every major innovation from the last 365 days:
- Microsoft: Launched additional OpenAI-powered features, including Copilot for Microsoft Dynamics 365 and Microsoft 365, enhancing business functionalities like text summarization, tone adjustment in emails, data insights, and automatic presentation creation.
- Google: Introduced Duet, akin to Microsoft’s Copilot, integrating Gen AI across Google Workspace for writing assistance and custom visual creation. Also debuted Generative AI Studio, enabling developers to craft AI apps, and unveiled Gemini & Bard, a new AI technology with impressive features.
- Salesforce: …
- Adobe: …
- Amazon Web Services (AWS): …
- IBM: …
- Nvidia: …
- OpenAI: …
- Meta (Facebook): …
- Tencent: …
- Baidu: …
News in chatbots — from theneurondaily.com by Noah Edelman & Pete Huang
Here’s what’s on the horizon:
- Multimodal AI gets huge. Instead of just typing, more people will talk to AI, listen to it, create images, get visual feedback, create graphs, and more.
- AI video gets really good. So far, AI videos have been cool-but-not-practical. They’re getting way better and we’re on the verge of seeing 100% AI-generated films, animations, and cartoons.
- AI on our phones. Imagine Siri with the brains of ChatGPT-4 and the ambition of Alexa. TBD who pulls this off first!
- GPT-5. ‘Nuff said.
20 Best AI Chatbots in 2024 — from eweek.com by Aminu Abdullahi
These leading AI chatbots use generative AI to offer a wide menu of functionality, from personalized customer service to improved information retrieval.
Top 20 Generative AI Chatbot Software: Comparison Chart
We compared the key features of the top generative AI chatbot software to help you determine the best option for your company…
What Google Gemini Teaches Us About Trust and The Future — from aiwithallie.beehiiv.com by Allie K. Miller
The AI demo may have been misleading, but it teaches us two huge lessons.
TL;DR (too long, didn’t read)
- We’re moving from ‘knowledge’ to ‘action’.
AI moving into proactive interventions. - We’re getting more efficient.
Assume 2024 brings lower AI OpEx. - It’s multi-modal from here on out.
Assume 2024 is multi-modal. - There’s no one model to rule them all.
Assume 2024 has more multi-model orchestration & delegation.
Stay curious, stay informed,
Allie
Chatbot Power Rankings — from theneurondaily.com by Noah Edelman
Here’s our power rankings of the best chatbots for (non-technical) work:
1: ChatGPT-4—Unquestionably the smartest, with the strongest writing, coding, and reasoning abilities.
T1: Gemini Ultra—In theory as powerful as GPT-4. We won’t know for sure until it’s released in 2024.
2: Claude 2—Top choice for managing lengthy PDFs (handles ~75,000 words), and rarely hallucinates. Can be somewhat stiff.
3: Perplexity—Ideal for real-time information. Upgrading to Pro grants access to both Claude-2 and GPT-4.
T4: Pi—The most “human-like” chatbot, though integrating with business data can be challenging.
T4: Bing Chat—Delivers GPT-4-esque responses, has internet access, and can generate images. Bad UX and doesn’t support PDFs.
T4: Bard—Now powered by Gemini Pro, offers internet access and answer verification. Tends to hallucinate more frequently.
and others…
Midjourney + ChatGPT = Amazing AI Art — from theaigirl.substack.com by Diana Dovgopol and the Pycoach
Turn ChatGPT into a powerful Midjourney prompt machine with basic and advanced formulas.
Make music with AI — from aitestkitchen.withgoogle.com re: Music FX
On 12/14/2023,
in education, Emotion, engagement / engaging students, K-12 related, music, student-related, teachers,
by Daniel Christian
25 Exciting Music Activities For Kids Of All Ages — from teachingexpertise.com by Aqinnah Alexia Del Fava
Our collection of 25 engaging music activities includes activities for kids from preschool through to middle school. Have a look at this carefully selected list and pick out a few ideas to try out with your class and get the most out of your next music session!
On 11/14/2023,
in 3D, Adobe, Artificial Intelligence / Machine Learning / Deep Learning / Algorithms, Asia, biology, creativity, digital audio, experimentation, health, innovation, intelligent systems, Microsoft, multimedia, music, NVIDIA, pace of change, platforms, tools, trends, UK, United States, vendors,
by Daniel Christian
The Beatles’ final song is now streaming thanks to AI — from theverge.com by Chris Welch
Machine learning helped Paul McCartney and Ringo Starr turn an old John Lennon demo into what’s likely the band’s last collaborative effort.
Scientists excited by AI tool that grades severity of rare cancer — from bbc.com by Fergus Walsh
Artificial intelligence is nearly twice as good at grading the aggressiveness of a rare form of cancer from scans as the current method, a study suggests.
By recognising details invisible to the naked eye, AI was 82% accurate, compared with 44% for lab analysis.
Researchers from the Royal Marsden Hospital and Institute of Cancer Research say it could improve treatment and benefit thousands every year.
They are also excited by its potential for spotting other cancers early.
Microsoft unveils ‘LeMa’: A revolutionary AI learning method mirroring human problem solving — from venturebeat.com by Michael Nuñez
Researchers from Microsoft Research Asia, Peking University, and Xi’an Jiaotong University have developed a new technique to improve large language models’ (LLMs) ability to solve math problems by having them learn from their mistakes, akin to how humans learn.
The researchers have revealed a pioneering strategy, Learning from Mistakes (LeMa), which trains AI to correct its own mistakes, leading to enhanced reasoning abilities, according to a research paper published this week.
Also from Michael Nuñez at venturebeat.com, see:
GPTs for all, AzeemBot; conspiracy theorist AI; big tech vs. academia; reviving organs ++448 — from exponentialviewco by Azeem Azhar and Chantal Smith
Personalized A.I. Agents Are Here. Is the World Ready for Them? — from ytimes.com by Kevin Roose (behind a paywall)
You could think of the recent history of A.I. chatbots as having two distinct phases.
The first, which kicked off last year with the release of ChatGPT and continues to this day, consists mainly of chatbots capable of talking about things. Greek mythology, vegan recipes, Python scripts — you name the topic and ChatGPT and its ilk can generate some convincing (if occasionally generic or inaccurate) text about it.
That ability is impressive, and frequently useful, but it is really just a prelude to the second phase: artificial intelligence that can actually do things. Very soon, tech companies tell us, A.I. “agents” will be able to send emails and schedule meetings for us, book restaurant reservations and plane tickets, and handle complex tasks like “negotiate a raise with my boss” or “buy Christmas presents for all my family members.”
From DSC:
Very cool!
Introducing, Motion Brush.
A new way to add controlled movement to your generations.
Coming soon to Gen-2. pic.twitter.com/htyjf1gstz
— Runway (@runwayml) November 10, 2023
Nvidia Stock Jumps After Unveiling of Next Major AI Chip. It’s Bad News for Rivals. — from barrons.com
On Monday, Nvidia (ticker: NVDA) announced its new H200 Tensor Core GPU. The chip incorporates 141 gigabytes of memory and offers up to 60% to 90% performance improvements versus its current H100 model when used for inference, or generating answers from popular AI models.
From DSC:
The exponential curve seems to be continuing — 60% to 90% performance improvements is a huge boost in performance.
Also relevant/see:
- NVIDIA Supercharges Hopper, the World’s Leading AI Computing Platform — from nvidianews.nvidia.com
HGX H200 Systems and Cloud Instances Coming Soon From World’s Top Server Manufacturers and Cloud Service Providers
The 5 Best GPTs for Work — from the AI Exchange
Custom GPTs are exploding, and we wanted to highlight our top 5 that we’ve seen so far:
- FAQ Generator: Simply input a URL and it’ll generate an FAQ for that webpage
- Canva GPT: Generate Canva graphics in seconds
- Automation Consultant: By Zapier
- Content Matrix GPT: Mirroring prolific online writer Justin Welsh
- Summarizer GPT: Can summarize in different formats, by TikTok friend of ours, Riley Brown