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.

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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:

 

Guiding Students in Special Education to Generate Ideas for Writing — from edutopia.org by Erin Houghton
When students are stuck, breaking the brainstorming stage down into separate steps can help them get started writing.

Students who first generate ideas about a topic—access what they know about it—more easily write their outlines and drafts for the bigger-picture assignment. For Sally, brainstorming was too overwhelming as an initial step, so we started off by naming examples. I gave Sally a topic—name ways characters in Charlotte’s Web helped one another—she named examples of things (characters), and we generated a list of ways those characters helped one another.

IMPLEMENTING BRAINSTORMING AS SKILL BUILDING
This “naming” strategy is easy to implement with individual students or in groups. These are steps to get you started.

Step 1. Introduce the student to the exercise.
Step 2. Select a topic for practice.


[Opinion] It’s okay to play: How ‘play theory’ can revitalize U.S. education — from hechingerreport.org by Tyler Samstag
City planners are recognizing that play and learning are intertwined and turning public spaces into opportunities for active learning

When we’re young, playing and learning are inseparable.

Simple games like peekaboo and hide-and-seek help us learn crucial lessons about time, anticipation and cause and effect. We discover words, numbers, colors and sounds through toys, puzzles, storybooks and cartoons. Everywhere we turn, there’s something fun to do and something new to learn.

Then, somewhere around early elementary school, learning and play officially become separated for life.

Suddenly, learning becomes a task that only takes place in proper classrooms with the help of textbooks, homework and tests. Meanwhile, play becomes a distraction that we’re only allowed to indulge in during our free time, often by earning it as a reward for studying. As a result, students tend to grow up feeling as if learning is a stressful chore while playing is a reward.

Similar interactive learning experiences are popping up in urban areas from California to the East Coast, with equally promising results: art, games and music are being incorporated into green spaces, public parks, transportation stations, laundromats and more.


And on a somewhat related note, also see:


Though meant for higher ed, this is also applicable to the area of pedagogy within K12:

Space to fail. And learn — from educationalist.substack.com by Alexandra Mihai
I want to use today’s newsletter to talk about how we can help students to own their mistakes and really learn from them, so I’m sharing some thoughts, some learning design ideas and some resources…

10 ideas to make failure a learning opportunity

  • Start with yourself:
  • Admit when you don’t know something
  • Try to come up with “goal free problems”
  • Always dig deeper:
  • Encourage practice:
 

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



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.

 

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.

 

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.

 

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
 

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)

  1. We’re moving from ‘knowledge’ to ‘action’. 
    AI moving into proactive interventions.
  2. We’re getting more efficient. 
    Assume 2024 brings lower AI OpEx.
  3. It’s multi-modal from here on out. 
    Assume 2024 is multi-modal.
  4. 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-4Unquestionably 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 2Top choice for managing lengthy PDFs (handles ~75,000 words), and rarely hallucinates. Can be somewhat stiff.

3: PerplexityIdeal for real-time information. Upgrading to Pro grants access to both Claude-2 and GPT-4.

T4: PiThe most “human-like” chatbot, though integrating with business data can be challenging.

T4: Bing ChatDelivers GPT-4-esque responses, has internet access, and can generate images. Bad UX and doesn’t support PDFs.

T4: BardNow 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


 

 

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!

Snag some empty jars or small bottles and make them into instruments! A

 

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!


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:


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:

 

Google Tools and Activities for Art Education — from techlearning.com by Eric Curts

Google tools and activities for art education

.

Although there is no replacement for getting your hands dirty with finger paints, technology can offer many ways for students to be creative when making art. In addition to creativity, technology can also allow students to explore and learn about art in new and engaging ways.

Some of the best free digital art tools are those from Google that help educators and students with teaching, learning, exploring, and creating art. The wide range of tools and activities available provide nearly infinite possibilities.

Also relevant/see:

And speaking of tools, also see:

  • Soundtrap: How To Use it to Teach — from techlearning.com by Luke Edwards
    Soundtrap is the recording studio for students and teachers that could help in class and beyond

Soundtrap is a music production tool that is designed for use in education. That means a full-on mixing and sound production studio experience, but one that is accessible for students grade six and up.

Since this is relatively simple to use and is available in app as well as web formats, it is highly accessible for both in-class and personal devices.

This tool offers a way to spark creativity in students and a method to help experiment with music that can inspire those new to this world, or enable more experienced students to create complex and explorative music. 

soundtrap.com -- the recording studio for students and teachers


Also relevant/see:

 

The ChatGPT of music? — from joinsuperhuman.ai by Zain Kahn
ALSO: EY releases new AI platform after $1.4B investment

Here’s what you need to know:

  • You can feed the app prompts for both music (like classical rock) and sounds (like raindrops on a window).
  • The platform can generate sounds across any genre and can mix and produce sounds from multiple genres too.
  • The output can be used for personal entertainment and commercial purposes, like audio content for an ad.
  • There’s a free version where you can generate 20 tracks of up to 45 seconds for non-commercial use. And the paid version comes with 500 tracks of up to 90 seconds and can be used for commercial purposes.

Also:


Announcing Stable Audio, a product for music & sound generation — from stability.ai

Stability AI, the world’s leading open generative AI company, today announced the launch of Stable Audio, the company’s first AI product for music and sound generation.

https://www.stableaudio.com/


On the topic of AI, also see:

Generative AI and intellectual property — from ben-evans.com by Benedict Evans
If you put all the world’s knowledge into an AI model and use it to make something new, who owns that and who gets paid? This is a completely new problem that we’ve been arguing about for 500 years.

Boosting Your Productivity: 5 ChatGPT Prompts That Work Wonders — from wireprompt.substack.com
To truly harness the power of ChatGPT, we need prompts that are crystal clear, specific to our needs, and tailored to our unique situations. Here are five ChatGPT prompts that have proven to be productivity powerhouses, no matter your role or goals…

 

Birmingham Royal Ballet launches VR programme to improve accessibility— from inavateonthenet.net

The Birmingham Royal Ballet (BRB) has announced the launch of its virtual stage, a tech-focused project designed to bring immersive technologies into ballet.

The BRB has received funding from Bloomberg Philanthropies’ Digital Accelerator Programme, allowing the institution to invest in equipment and staff training to allow its team to explore immersive technologies with its partners Canon and RiVR.

The virtual stage project aims to explore ways in which AR, VR, 3D mapping and motion capture can be used to enhance the BRB’s productions and experiences.

 

Learn Letter 96: How to make encoding work for you, Three websites to learn something new — from evakeiffenheim.substack.com by Eva Keffenheim

Learning Nuggets:  Three websites to learn something new

  1. Curious claims to increase your “CQ” (curiosity quotient) – it’s a website where you can learn something new every day by dedicating a small amount of time to it: 5, 15, or 30 minutes daily. Whether there is a thing as CQ or not – the site offers plenty of great resources to explore new areas. The drawback is that you need to subscribe for a 7-day free trial to start exploring.
  2. Drawspace is one of the most popular sites for learning how to draw. You choose an image and get a step-by-step guide on creating your drawing.
  3. ?Teoria is a donation-based site that helps you study music theory through articles, references, and interactive exercises. You can do, for example, interval ear training or learn to read music and scales.
 


ElevenLabs’ AI Voice Generator Can Now Fake Your Voice in 30 Languages — from gizmodo.com by Kyle Barr
ElevenLabs said its AI voice generator is out of beta, saying it would support video game and audiobook creators with cheap audio.

According to ElevenLabs, the new Multilingual v2 model promises it can produce “emotionally rich” audio in a total of 30 languages. The company offers two AI voice tools, one is a text-to-speech model and the other is the “VoiceLab” that lets paying users clone a voice by inputting fragments of theirs (or others) speech into the model to create a kind of voice cone. With the v2 model, users can get these generated voices to start speaking in Greek, Malay, or Turkish.

Since then, ElevenLabs claims its integrated new measures to ensure users can only clone their own voice. Users need to verify their speech with a text captcha prompt which is then compared to the original voice sample.

From DSC:
I don’t care what they say regarding safeguards/proof of identity/etc. This technology has been abused and will be abused in the future. We can count on it. The question now is, how do we deal with it?



Google, Amazon, Nvidia and other tech giants invest in AI startup Hugging Face, sending its valuation to $4.5 billion — from cnbc.com by Kif Leswing

But Hugging Face produces a platform where AI developers can share code, models, data sets, and use the company’s developer tools to get open-source artificial intelligence models running more easily. In particular, Hugging Face often hosts weights, or large files with lists of numbers, which are the heart of most modern AI models.

While Hugging Face has developed some models, like BLOOM, its primary product is its website platform, where users can upload models and their weights. It also develops a series of software tools called libraries that allow users to get models working quickly, to clean up large datasets, or to evaluate their performance. It also hosts some AI models in a web interface so end users can experiment with them.


The global semiconductor talent shortage — from www2.deloitte.com
How to solve semiconductor workforce challenges

Numerous skills are required to grow the semiconductor ecosystem over the next decade. Globally, we will need tens of thousands of skilled tradespeople to build new plants to increase and localize manufacturing capacity: electricians, pipefitters, welders; thousands more graduate electrical engineers to design chips and the tools that make the chips; more engineers of various kinds in the fabs themselves, but also operators and technicians. And if we grow the back end in Europe and the Americas, that equates to even more jobs.

Each of these job groups has distinct training and educational needs; however, the number of students in semiconductor-focused programs (for example, undergraduates in semiconductor design and fabrication) has dwindled. Skills are also evolving within these job groups, in part due to automation and increased digitization. Digital skills, such as cloud, AI, and analytics, are needed in design and manufacturing more than ever.

The chip industry has long partnered with universities and engineering schools. Going forward, they also need to work more with local tech schools, vocational schools, and community colleges; and other organizations, such as the National Science Foundation in the United States.


Our principles for partnering with the music industry on AI technology — from blog.youtube (Google) by Neal Mohan, CEO, YouTube
AI is here, and we will embrace it responsibly together with our music partners.

  • Principle #1: AI is here, and we will embrace it responsibly together with our music partners.
  • Principle #2: AI is ushering in a new age of creative expression, but it must include appropriate protections and unlock opportunities for music partners who decide to participate.
  • Principle #3: We’ve built an industry-leading trust and safety organization and content policies. We will scale those to meet the challenges of AI.

Developers are now using AI for text-to-music apps — from techcrunch.com by Ivan Mehta

Brett Bauman, the developer of PlayListAI (previously LinupSupply), launched a new app called Songburst on the App Store this week. The app doesn’t have a steep learning curve. You just have to type in a prompt like “Calming piano music to listen to while studying” or “Funky beats for a podcast intro” to let the app generate a music clip.

If you can’t think of a prompt the app has prompts in different categories, including video, lo-fi, podcast, gaming, meditation and sample.


A Generative AI Primer — from er.educause.edu by Brian Basgen
Understanding the current state of technology requires understanding its origins. This reading list provides sources relevant to the form of generative AI that led to natural language processing (NLP) models such as ChatGPT.


Three big questions about AI and the future of work and learning — from workshift.opencampusmedia.org by Alex Swartsel
AI is set to transform education and work today and well into the future. We need to start asking tough questions right now, writes Alex Swartsel of JFF.

  1. How will AI reshape jobs, and how can we prepare all workers and learners with the skills they’ll need?
  2. How can education and workforce leaders equitably adopt AI platforms to accelerate their impact?
  3. How might we catalyze sustainable policy, practice, and investments in solutions that drive economic opportunity?

“As AI reshapes both the economy and society, we must collectively call for better data, increased accountability, and more flexible support for workers,” Swartsel writes.


The Current State of AI for Educators (August, 2023) — from drphilippahardman.substack.com by Dr. Philippa Hardman
A podcast interview with the University of Toronto on where we’re at & where we’re going.

 


 
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