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Amazon aims to provide free AI skills training to 2 million people by 2025 [Sivasubramanian]

On 11/22/2023, in Amazon, Artificial Intelligence / Machine Learning / Deep Learning / Algorithms, corporate / business world, education, platforms, programming, skills, training / L&D, United States, youth, by Daniel Christian

Amazon aims to provide free AI skills training to 2 million people by 2025 with its new ‘AI Ready’ commitment — from aboutamazon.com by Swami Sivasubramanian

Artificial intelligence (AI) is the most transformative technology of our generation. If we are going to unlock the full potential of AI to tackle the world’s most challenging problems, we need to make AI education accessible to anyone with a desire to learn.

That’s why Amazon is announcing “AI Ready,” a new commitment designed to provide free AI skills training to 2 million people globally by 2025. To achieve this goal, we’re launching new initiatives for adults and young learners, and scaling our existing free AI training programs—removing cost as a barrier to accessing these critical skills.

From DSC:
While this will likely serve Amazon just fine, it’s still an example of the leadership of a corporation seeking to help others out.

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Massive innovations coming from OpenAI this week; + other items re: AI in general

On 11/08/2023, in 21st century, 24x7x365 access, Artificial Intelligence / Machine Learning / Deep Learning / Algorithms, business, career development, changing business models, computer science, content development, aggregation, repositories, corporate / business world, corporate universities / corporate training, emerging technologies, platforms, productivity / tips and tricks, programming, society, tools, trends, United States, vendors, web design and production, by Daniel Christian

New models and developer products announced at DevDay — from openai.com
GPT-4 Turbo with 128K context and lower prices, the new Assistants API, GPT-4 Turbo with Vision, DALL·E 3 API, and more.

Today, we shared dozens of new additions and improvements, and reduced pricing across many parts of our platform. These include:

  • New GPT-4 Turbo model that is more capable, cheaper and supports a 128K context window
  • New Assistants API that makes it easier for developers to build their own assistive AI apps that have goals and can call models and tools
  • New multimodal capabilities in the platform, including vision, image creation (DALL·E 3), and text-to-speech (TTS)

Introducing GPTs — from openai.com
You can now create custom versions of ChatGPT that combine instructions, extra knowledge, and any combination of skills.

OpenAI’s New Groundbreaking Update — from newsletter.thedailybite.co
Everything you need to know about OpenAI’s update, what people are building, and a prompt to skim long YouTube videos…

But among all this exciting news, the announcement of user-created “GPTs” took the cake.

That’s right, your very own personalized version of ChatGPT is coming, and it’s as groundbreaking as it sounds.

OpenAI’s groundbreaking announcement isn’t just a new feature – it’s a personal AI revolution. 

The upcoming customizable “GPTs” transform ChatGPT from a one-size-fits-all to a one-of-a-kind digital sidekick that is attuned to your life’s rhythm. 

Lore Issue #56: Biggest Week in AI This Year — from news.lore.com by Nathan Lands

First, Elon Musk announced “Grok,” a ChatGPT competitor inspired by “The Hitchhiker’s Guide to the Galaxy.” Surprisingly, in just a few months, xAI has managed to surpass the capabilities of GPT-3.5, signaling their impressive speed of execution and establishing them as a formidable long-term contender.

Then, OpenAI hosted their inaugural Dev Day, unveiling “GPT-4 Turbo,” which boasts a 128k context window, API costs slashed by threefold, text-to-speech capabilities, auto-model switching, agents, and even their version of an app store slated for launch next month.

The Day That Changed Everything — from joinsuperhuman.ai by Zain Kahn
ALSO: Everything you need to know about yesterday’s OpenAI announcements

  • OpenAI DevDay Part I: Custom ChatGPTs and the App Store of AI
  • OpenAI DevDay Part II: GPT-4 Turbo, Assistants, APIs, and more

OpenAI’s Big Reveal: Custom GPTs, GPT Store & More — from  news.theaiexchange.com
What you should know about the new announcements; how to get started with building custom GPTs

Incredible pace of OpenAI — from theaivalley.com by Barsee
PLUS: Elon’s Gork

 

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Competency-Based Education (CBE) Learning Platform Architecture White Paper [Feldstein]

On 10/18/2023, in career development, cloud-based computing / apps / other cloud-related, CMS/LMS, colleges, communities of practice, community colleges, competency-based learning/education, computer science, content development, aggregation, repositories, corporate / business world, corporate universities / corporate training, personalized/customized learning, platforms, programming, tools, United States, vendors, vision/possibilities, by Daniel Christian

Competency-Based Education (CBE) Learning Platform Architecture White Paper — from eliterate.us by Michael Feldstein

The core principles
The four basic principles for an LMS or learning platform to support CBE are simple:

  • Separate skill tree:
  • Mastery learning:
  • Integration:
  • Evidence of achievement:

 

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Re: upcoming “feature” from Microsoft: Trust is already a fragile thing. Are we sure we want this?! [Christian]

On 10/11/2023, in 21st century, 24x7x365 access, adjunct faculty, Artificial Intelligence / Machine Learning / Deep Learning / Algorithms, change, cloud-based computing / apps / other cloud-related, colleges, communications, community colleges, computer science, content development, aggregation, repositories, corporate / business world, Daniel S. Christian, education technology, emerging technologies, faculty, higher education, human-computer interaction (HCI), ideas, innovation, instructional design, intelligent systems, languages and translation, learning ecosystem, Microsoft, productivity / tips and tricks, programming, society, the downsides of technology, tools, trends, United States, universities, workplace, writing, by Daniel Christian

Next month Microsoft Corp. will start making its artificial intelligence features for Office widely available to corporate customers. Soon after, that will include the ability for it to read your emails, learn your writing style and compose messages on your behalf.

From DSC:
As readers of this blog know, I’m generally pro-technology. I see most technologies as tools — which can be used for good or for ill. So I will post items both pro and con concerning AI.

But outsourcing email communications to AI isn’t on my wish list or to-do list.

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“AI Meets Med School” [Coffey] + numerous other AI-related items (inside & outside of edu)

On 10/06/2023, in 21st century, 24x7x365 access, Artificial Intelligence / Machine Learning / Deep Learning / Algorithms, biology, business, communities of practice, computer science, digital learning, digital photography, education, education technology, emerging technologies, experimentation, game-changing environment, global / globalization, ideas, innovation, intelligent systems, media/film, productivity / tips and tricks, programming, by Daniel Christian

AI Meets Med School— from insidehighered.com by Lauren Coffey
Adding to academia’s AI embrace, two institutions in the University of Texas system are jointly offering a medical degree paired with a master’s in artificial intelligence.

Doctor AI

The University of Texas at San Antonio has launched a dual-degree program combining medical school with a master’s in artificial intelligence.

Several universities across the nation have begun integrating AI into medical practice. Medical schools at the University of Florida, the University of Illinois, the University of Alabama at Birmingham and Stanford and Harvard Universities all offer variations of a certificate in AI in medicine that is largely geared toward existing professionals.

“I think schools are looking at, ‘How do we integrate and teach the uses of AI?’” Dr. Whelan said. “And in general, when there is an innovation, you want to integrate it into the curriculum at the right pace.”

Speaking of emerging technologies and med school, also see:

Though not necessarily edu-related, this was interesting to me and hopefully will be to some profs and/or students out there:

How to stop AI deepfakes from sinking society — and science — from nature.com by Nicola Jones; via The Neuron
Deceptive videos and images created using generative AI could sway elections, crash stock markets and ruin reputations. Researchers are developing methods to limit their harm.

Exploring the Impact of AI in Education with PowerSchool’s CEO & Chief Product Officer — from michaelbhorn.substack.com by Michael B. Horn

With just under 10 acquisitions in the last 5 years, PowerSchool has been active in transforming itself from a student information systems company to an integrated education company that works across the day and lifecycle of K–12 students and educators. What’s more, the company turned heads in June with its announcement that it was partnering with Microsoft to integrate AI into its PowerSchool Performance Matters and PowerSchool LearningNav products to empower educators in delivering transformative personalized-learning pathways for students.

AI Learning Design Workshop: The Trickiness of AI Bootcamps and the Digital Divide — from eliterate.usby Michael Feldstein

As readers of this series know, I’ve developed a six-session design/build workshop series for learning design teams to create an AI Learning Design Assistant (ALDA). In my last post in this series, I provided an elaborate ChatGPT prompt that can be used as a rapid prototype that everyone can try out and experiment with.1 In this post, I’d like to focus on how to address the challenges of AI literacy effectively and equitably.

Global AI Legislation Tracker— from iapp.org; via Tom Barrett

Countries worldwide are designing and implementing AI governance legislation commensurate to the velocity and variety of proliferating AI-powered technologies. Legislative efforts include the development of comprehensive legislation, focused legislation for specific use cases, and voluntary guidelines and standards.

This tracker identifies legislative policy and related developments in a subset of jurisdictions. It is not globally comprehensive, nor does it include all AI initiatives within each jurisdiction, given the rapid and widespread policymaking in this space. This tracker offers brief commentary on the wider AI context in specific jurisdictions, and lists index rankings provided by Tortoise Media, the first index to benchmark nations on their levels of investment, innovation and implementation of AI.

Diving Deep into AI: Navigating the L&D Landscape — from learningguild.com by Markus Bernhardt

The prospect of AI-powered, tailored, on-demand learning and performance support is exhilarating: It starts with traditional digital learning made into fully adaptive learning experiences, which would adjust to strengths and weaknesses for each individual learner. The possibilities extend all the way through to simulations and augmented reality, an environment to put into practice knowledge and skills, whether as individuals or working in a team simulation. The possibilities are immense.

Learning Lab | ChatGPT in Higher Education: Exploring Use Cases and Designing Prompts — from events.educause.edu; via Robert Gibson on LinkedIn

Part 1: October 16 | 3:00–4:30 p.m. ET
Part 2: October 19 | 3:00–4:30 p.m. ET
Part 3: October 26 | 3:00–4:30 p.m. ET
Part 4: October 30 | 3:00–4:30 p.m. ET

Mapping AI’s Role in Education: Pioneering the Path to the Future — from marketscale.com by Michael B. Horn, Jacob Klein, and Laurence Holt

Welcome to The Future of Education with Michael B. Horn. In this insightful episode, Michael gains perspective on mapping AI’s role in education from Jacob Klein, a Product Consultant at Oko Labs, and Laurence Holt, an Entrepreneur In Residence at the XQ Institute. Together, they peer into the burgeoning world of AI in education, analyzing its potential, risks, and roadmap for integrating it seamlessly into learning environments.

Ten Wild Ways People Are Using ChatGPT’s New Vision Feature — from newsweek.com by Meghan Roos; via Superhuman

Below are 10 creative ways ChatGPT users are making use of this new vision feature.

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“Will Generative AI Improve Digital Accessibility?” + other items re: accessibility from boia.org

On 09/18/2023, in Artificial Intelligence / Machine Learning / Deep Learning / Algorithms, Bias | Diversity Equity & Inclusion (DE&I), instructional design, productivity / tips and tricks, programming, society, tools, vendors, vision/possibilities, web design and production, by Daniel Christian

Will Generative AI Improve Digital Accessibility? — from boia.org

Generative A.I. could reduce the busywork of accessibility
Most digital accessibility issues can be addressed easily with clean code and thoughtful content creation. However, many “easy” fixes still take time to implement, particularly when humans need to be involved.

The Web Content Accessibility Guidelines (WCAG) function as the international standards of digital accessibility. WCAG includes a number of requirements that require a subjective approach, which can create busywork for developers, designers, and writers.

For example:

  • WCAG requires text alternatives (alt text) for images and other non-text content. Writing alt text takes a few seconds, but if you’re operating a large eCommerce site with thousands of images, you may need to spend days or weeks adding alt text.
  • WCAG requires captions and transcripts for video content. If you don’t plan for those features when drafting your videos, you’ll need to write them after-the-fact — and on a lengthy video, that’s a time-consuming process.
  • WCAG requires content to maintain an appropriate color contrast ratio. Adjusting your website’s CSS (Cascading Style Sheets) isn’t especially difficult, but on a complex website, designers may need to spend hours adjusting each element.

Generative A.I. may be able to address these challenges.

Also relevant/see:

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Generative A.I. + Law – Background, Applications & Use Cases Including GPT-4 Passes the Bar Exam – Speaker Deck [Martin Katz]

On 09/18/2023, in 21st century, 24x7x365 access, Artificial Intelligence / Machine Learning / Deep Learning / Algorithms, bots, computer science, future, game-changing environment, Legal operations, legal reform, legal technologies, legislatures / government / legal, Natural Language Processing (NLP), platforms, programming, research, tools, United States, universities, vendors, by Daniel Christian

Generative A.I. + Law – Background, Applications and Use Cases Including GPT-4 Passes the Bar Exam – Speaker Deck — from speakerdeck.com by Professor Daniel Martin Katz

 

 

 

Also relevant/see:

AI-Powered Virtual Legal Assistants Transform Client Services — from abovethelaw.com by Olga V. Mack
They can respond more succinctly than ever to answer client questions, triage incoming requests, provide details, and trigger automated workflows that ensure lawyers handle legal issues efficiently and effectively.

Artificial Intelligence in Law: How AI Can Reshape the Legal Industry — from jdsupra.com

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Top 10 Chief AI Officers [aimagazine.com]; The state of AI in 2023: Generative AI’s breakout year [McKinsey.com] + 19 other AI in general items

On 08/15/2023, in 21st century, 24x7x365 access, Artificial Intelligence / Machine Learning / Deep Learning / Algorithms, business, career development, change, changing business models, communications, computer science, content development, aggregation, repositories, corporate / business world, emerging technologies, ethics, Europe, future, game-changing environment, global / globalization, innovation, NVIDIA, platforms, political science, programming, society, the downsides of technology, trends, UK, United States, vendors, workplace, by Daniel Christian

How to spot deepfakes created by AI image generators — Can you trust your eyes | The deepfake election — from axios.com by various; via Tom Barrett

As the 2024 campaign season begins, AI image generators have advanced from novelties to powerful tools able to generate photorealistic images, while comprehensive regulation lags behind.

Why it matters: As more fake images appear in political ads, the onus will be on the public to spot phony content.

Go deeper: Can you tell the difference between real and AI-generated images? Take our quiz:

4 Charts That Show Why AI Progress Is Unlikely to Slow Down — from time.com; with thanks to Donald Clark out on LinkedIn for this resource

The state of AI in 2023: Generative AI’s breakout year — from McKinsey.com

Table of Contents

  1. It’s early days still, but use of gen AI is already widespread
  2. Leading companies are already ahead with gen AI
  3. AI-related talent needs shift, and AI’s workforce effects are expected to be substantial
  4. With all eyes on gen AI, AI adoption and impact remain steady
  5. About the research

Top 10 Chief AI Officers — from aimagazine.com

The Chief AI Officer is a relatively new job role, yet becoming increasingly more important as businesses invest further into AI.

Now more than ever, the workplace must prepare for AI and the immense opportunities, as well as challenges, that this type of evolving technology can provide. This job position sees the employee responsible for guiding companies through complex AI tools, algorithms and development. All of this works to ensure that the company stays ahead of the curve and capitalises on digital growth and transformation.

NVIDIA-related items

SIGGRAPH Special Address: NVIDIA CEO Brings Generative AI to LA Show — from blogs.nvidia.com by Brian Caulfield
Speaking to thousands of developers and graphics pros, Jensen Huang announces updated GH200 Grace Hopper Superchip, NVIDIA AI Workbench, updates NVIDIA Omniverse with generative AI.

The hottest commodity in AI right now isn’t ChatGPT — it’s the $40,000 chip that has sparked a frenzied spending spree — from businessinsider.com by Hasan Chowdhury

NVIDIA Releases Major Omniverse Upgrade with Generative AI and OpenUSD — from enterpriseai.news

Nvidia teams up with Hugging Face to offer cloud-based AI training — from techcrunch.com by Kyle Wiggers

Nvidia reveals new A.I. chip, says costs of running LLMs will ‘drop significantly’ — from cnbc.com by Kif Leswing

KEY POINTS

  • Nvidia announced a new chip designed to run artificial intelligence models on Tuesday .
  • Nvidia’s GH200 has the same GPU as the H100, Nvidia’s current highest-end AI chip, but pairs it with 141 gigabytes of cutting-edge memory, as well as a 72-core ARM central processor.
  • “This processor is designed for the scale-out of the world’s data centers,” Nvidia CEO Jensen Huang said Tuesday.

Nvidia Has A Monopoly On AI Chips … And It’s Only Growing — from theneurondaily.com by The Neuron

In layman’s terms: Nvidia is on fire, and they’re only turning up the heat.

AI-Powered War Machines: The Future of Warfare Is Here — from readwrite.com by Deanna Ritchie

The advancement of robotics and artificial intelligence (AI) has paved the way for a new era in warfare. Gone are the days of manned ships and traditional naval operations. Instead, the US Navy’s Task Force 59 is at the forefront of integrating AI and robotics into naval operations. With a fleet of autonomous robot ships, the Navy aims to revolutionize the way wars are fought at sea.

From DSC:
Crap. Ouch. Some things don’t seem to ever change. Few are surprised by this development…but still, this is a mess.

Sam Altman is already nervous about what AI might do in elections — from qz.com by Faustine Ngila; via Sam DeBrule
The OpenAI chief warned about the power of AI-generated media to potentially influence the vote

Altman, who has become the face of the recent hype cycle in AI development, feels that humans could be persuaded politically through conversations with chatbots or fooled by AI-generated media.

Your guide to AI: August 2023 — from nathanbenaich.substack.com by Nathan Benaich

Welcome to the latest issue of your guide to AI, an editorialized newsletter covering key developments in AI policy, research, industry, and startups. This special summer edition (while we’re producing the State of AI Report 2023!) covers our 7th annual Research and Applied AI Summit that we held in London on 23 June.
…
Below are some of our key takeaways from the event and all the talk videos can be found on the RAAIS YouTube channel here. If this piques your interest to join next year’s event, drop your details here.

Why generative AI is a game-changer for customer service workflows — from venturebeat.com via Superhuman

Gen AI, however, eliminates the lengthy search. It can parse a natural language query, synthesize the necessary information and serve up the answers the agent is looking for in a neatly summarized response, slashing call times dramatically.

BUT ALSO

Sam Altman: “AI Will Replace Customer Service Jobs First” — from theneurondaily.com

Excerpt:

Not only do its AI voices sound exactly like a human, but they can sound exactly like YOU.  All it takes is 6 (six!) seconds of your voice, and voila: it can replicate you saying any sentence in any tone, be it happy, sad, or angry.

The use cases are endless, but here are two immediate ones:

  1. Hyperpersonalized content.
    Imagine your favorite Netflix show but with every person hearing a slightly different script.
  2. Customer support agents. 
    We’re talking about ones that are actually helpful, a far cry from the norm!

AI has a Usability Problem — from news.theaiexchange.com
Why ChatGPT usage may actually be declining; using AI to become a spreadsheet pro

If you’re reading this and are using ChatGPT on a daily basis, congrats – you’re likely in the top couple of %.

For everyone else – AI still has a major usability problem.

From DSC:
Agreed.

From the ‘godfathers of AI’ to newer people in the field: Here are 16 people you should know — and what they say about the possibilities and dangers of the technology. — from businessinsider.com by Lakshmi Varanasi

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AI tools and features; plus AI’s ongoing impact (both positive and negative)

On 08/05/2023, in 21st century, 24x7x365 access, bots, cloud-based computing / apps / other cloud-related, computer science, creativity, design, digital video, emerging technologies, engagement / engaging students, experimentation, future, geography / geology, Google, graphics, innovation, marketing/social marketing, media/film, platforms, productivity / tips and tricks, programming, tools, trends, writing, by Daniel Christian

Gen-AI Movie Trailer For Sci Fi Epic “Genesis” — from forbes.com by Charlie Fink

The movie trailer for “Genesis,” created with AI, is so convincing it caused a stir on Twitter [on July 27]. That’s how I found out about it. Created by Nicolas Neubert, a senior product designer who works for Elli by Volkswagen in Germany, the “Genesis” trailer promotes a dystopian sci-fi epic reminiscent of the Terminator. There is no movie, of course, only the trailer exists, but this is neither a gag nor a parody. It’s in a class of its own. Eerily made by man, but not.

Google’s water use is soaring. AI is only going to make it worse. — from businessinsider.com by Hugh Langley

Google just published its 2023 environmental report, and one thing is for certain: The company’s water use is soaring.

The internet giant said it consumed 5.6 billion gallons of water in 2022, the equivalent of 37 golf courses. Most of that — 5.2 billion gallons — was used for the company’s data centers, a 20% increase on the amount Google reported the year prior.

We think prompt engineering (learning to converse with an AI) is overrated. — from the Neuron

We think prompt engineering (learning to converse with an AI) is overrated. Yup, we said it. We think the future of chat interfaces will be a combination of preloading context and then allowing AI to guide you to the information you seek.

From DSC:
Agreed. I think we’ll see a lot more interface updates and changes to make things easier to use, find, develop.

Radar Trends to Watch: August 2023 — from oreilly.com by Mike Loukides
Developments in Programming, Web, Security, and More

Artificial Intelligence continues to dominate the news. In the past month, we’ve seen a number of major updates to language models: Claude 2, with its 100,000 token context limit; LLaMA 2, with (relatively) liberal restrictions on use; and Stable Diffusion XL, a significantly more capable version of Stable Diffusion. Does Claude 2’s huge context really change what the model can do? And what role will open access and open source language models have as commercial applications develop?

Try out Google ‘TextFX’ and its 10 creative AI tools for rappers, writers — from 9to5google.com by Abner Li; via Barsee – AI Valley 

Google Lab Sessions are collaborations between “visionaries from all realms of human endeavor” and the company’s latest AI technology. [On 8/2/23], Google released TextFX as an “experiment to demonstrate how generative language technologies can empower the creativity and workflows of artists and creators” with Lupe Fiasco.

Google’s TextFX includes 10 tools and is powered by the PaLM 2 large language model via the PALM API. Meant to aid in the creative process of rappers, writers, and other wordsmiths, it is part of Google Labs.

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AI’s impact on journalism, some workers in Kenya, the SEC, programming, entertainment, ethics, AI tools, and more

On 07/24/2023, in 21st century, 24x7x365 access, Africa, Artificial Intelligence / Machine Learning / Deep Learning / Algorithms, biology, computer science, journalism, platforms, productivity / tips and tricks, programming, tools, vendors, by Daniel Christian

Partnership with American Journalism Project to support local news — from openai.com; via The Rundown AI
A new $5+ million partnership aims to explore ways the development of artificial intelligence (AI) can support a thriving, innovative local news field, and ensure local news organizations shape the future of this emerging technology.

SEC’s Gensler Warns AI Risks Financial Stability — from bloomberg.com by Lydia Beyoud; via The Brainyacts
SEC on lookout for fraud, conflicts of interest, chair says | Gensler cautions companies touting AI in corporate docs

Per a recent Brainyacts posting:

The recent petition from Kenyan workers who engage in content moderation for OpenAI’s ChatGPT, via the intermediary company Sama, has opened a new discussion in the global legal market. This dialogue surrounds the concept of “harmful and dangerous technology work” and its implications for laws and regulations within the expansive field of AI development and deployment.

The petition, asking for investigations into the working conditions and operations of big tech companies outsourcing services in Kenya, is notable not just for its immediate context but also for the broader legal issues it raises. Central among these is the notion of “harmful and dangerous technology work,” a term that encapsulates the uniquely modern form of labor involved in developing and ensuring the safety of AI systems.

The most junior data labelers, or agents, earned a basic salary of 21,000 Kenyan shillings ($170) per month, with monthly bonuses and commissions for meeting performance targets that could elevate their hourly rate to just $1.44 – a far cry from the $12.50 hourly rate that OpenAI paid Sama for their work. This discrepancy raises crucial questions about the fair distribution of economic benefits in the AI value chain.

How ChatGPT Code Interpreter (And Four Other AI Initiatives) Might Revolutionize Education — from edtechinsiders.substack.com by Phuong Do, Alex Sarlin, and Sarah Morin
And more on Meta’s Llama, education LLMs, the Supreme Court affirmative action ruling, and Byju’s continued unraveling

Let’s put it all together for emphasis. With Code Interpreter by ChatGPT, you can:

  1. Upload any file
  2. Tell ChatGPT what you want to do with it
  3. Receive your instructions translated into Python
  4. Execute the code
  5. Transform the output back into readable language (or visuals, charts, graphs, tables, etc.)
  6. Provide the results (and the underlying Python code)

AI Tools and Links — from Wally Boston

It’s become so difficult to track AI tools as they are revealed. I’ve decided to create a running list of tools as I find out about them.  The list is in alphabetical order even though there are classification systems that I’ve seen others use. Although it’s not good in blogging land to update posts, I’ll change the date every time that I update this list. Please feel free to respond to me with your comments about any of these as well as AI tools that you use that I do not have on the list. I’ll post your comments next to a tool when appropriate. Thanks.

Meet Claude — A helpful new AI assistant — from wondertools.substack.com by Jeremy Caplan
How to make the most of ChatGPT’s new alternative

Claude has surprising capabilities, including a couple you won’t find in the free version of ChatGPT.

Since this new AI bot launched on July 11, I’ve found Claude useful for summarizing long transcripts, clarifying complex writings, and generating lists of ideas and questions. It also helps me put unstructured notes into orderly tables. For some things, I prefer Claude to ChatGPT. Read on for Claude’s strengths and limitations, and ideas for using it creatively.

Claude’s free version allows you to attach documents for analysis. ChatGPT’s doesn’t.

The Next Frontier For Large Language Models Is Biology — from forbes.com by Rob Toews

Large language models like GPT-4 have taken the world by storm thanks to their astonishing command of natural language. Yet the most significant long-term opportunity for LLMs will entail an entirely different type of language: the language of biology.

In the near term, the most compelling opportunity to apply large language models in the life sciences is to design novel proteins.

Seven AI companies agree to safeguards in the US — from bbc.com by Shiona McCallum; via Tom Barrett

Seven leading companies in artificial intelligence have committed to managing risks posed by the tech, the White House has said.

This will include testing the security of AI, and making the results of those tests public.

Representatives from Amazon, Anthropic, Google, Inflection, Meta, Microsoft, and OpenAI joined US President Joe Biden to make the announcement.

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How to Use AI to Do Stuff: An Opinionated Guide [Mollick]

On 07/15/2023, in Artificial Intelligence / Machine Learning / Deep Learning / Algorithms, computer science, education technology, emerging technologies, Google, graphics, K-12 related, learning ecosystem, Microsoft, productivity / tips and tricks, professional development, programming, teachers, teaching & learning, by Daniel Christian

How to Use AI to Do Stuff: An Opinionated Guide — from oneusefulthing.org by Ethan Mollick
Covering the state of play as of Summer, 2023

The Major Large Language Models as of July 2023

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“YouTube tests AI-generated quizzes on educational videos” [Forristal] + numerous other items re: AI in education/HE/corporate training

On 07/13/2023, in 21st century, 24x7x365 access, adjunct faculty, Artificial Intelligence / Machine Learning / Deep Learning / Algorithms, assessment, change, colleges, community colleges, computer science, education, education technology, emerging technologies, experimentation, faculty, future, future of higher education, game-changing environment, generational differences, global / globalization, Google, higher education, human-computer interaction (HCI), instructional design, intelligent systems, intelligent tutoring, journalism, K-12 related, learning, learning ecosystem, Learning Experience Design, Learning from the Living [Class] Room, learning preferences, lifelong learning, platforms, productivity / tips and tricks, professional development, programming, research, science, student-related, teachers, teaching & learning, tools, trends, United States, universities, vendors, vision/possibilities, by Daniel Christian

YouTube tests AI-generated quizzes on educational videos — from techcrunch.com by Lauren Forristal

YouTube tests AI-generated quizzes on educational videos

YouTube is experimenting with AI-generated quizzes on its mobile app for iOS and Android devices, which are designed to help viewers learn more about a subject featured in an educational video. The feature will also help the video-sharing platform get a better understanding of how well each video covers a certain topic.

Incorporating AI in Teaching: Practical Examples for Busy Instructors — from danielstanford.substack.com by Daniel Stanford; with thanks to Derek Bruff on LinkedIn for the resource

Since January 2023, I’ve talked with hundreds of instructors at dozens of institutions about how they might incorporate AI into their teaching. Through these conversations, I’ve noticed a few common issues:

  • Faculty and staff are overwhelmed and burned out. Even those on the cutting edge often feel they’re behind the curve.
  • It’s hard to know where to begin.
  • It can be difficult to find practical examples of AI use that are applicable across a variety of disciplines.

To help address these challenges, I’ve been working on a list of AI-infused learning activities that encourage experimentation in (relatively) small, manageable ways.

September 2023: The Secret Intelligent Beings on Campus — from stefanbauschard.substack.com by Stefan Bauschard
Many of your students this fall will be enhanced by artificial intelligence, even if they don’t look like actual cyborgs. Do you want all of them to be enhanced, or just the highest SES students?

How to report better on artificial intelligence — from cjr.org (Columbia Journalism Review) by Syash Kapoor, Hilke Schellmann, and Ari Sen

In the past few months we have been deluged with headlines about new AI tools and how much they are going to change society.

Some reporters have done amazing work holding the companies developing AI accountable, but many struggle to report on this new technology in a fair and accurate way.

We—an investigative reporter, a data journalist, and a computer scientist—have firsthand experience investigating AI. We’ve seen the tremendous potential these tools can have—but also their tremendous risks.

As their adoption grows, we believe that, soon enough, many reporters will encounter AI tools on their beat, so we wanted to put together a short guide to what we have learned.

AI

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Something I created via Adobe Firefly (Beta version)

 

The 5 reasons L&D is going to embrace ChatGPT — from chieflearningoffice.com by Josh Bersin

Does this mean it will do away with the L&D job? Not at all — these tools give you superhuman powers to find content faster, put it in front of employees in a more useful way and more creatively craft character simulations, assessments, learning in the flow of work and more.

And it’s about time. We really haven’t had a massive innovation in L&D since the early days of the learning experience platform market, so we may be entering the most exciting era in a long time.

Let me give you the five most significant use cases I see. And more will come.

AI and Tech with Scenarios: ID Links 7/11/23 — from christytuckerlearning.com by Christy Tucker

As I read online, I bookmark resources I find interesting and useful. I share these links periodically here on my blog. This post includes links on using tech with scenarios: AI, xAPI, and VR. I’ll also share some other AI tools and links on usability, resume tips for teachers, visual language, and a scenario sample.

It’s only a matter of time before A.I. chatbots are teaching in primary schools — from cnbc.com by Mikaela Cohen

Key Points

  • Microsoft co-founder Bill Gates saying generative AI chatbots can teach kids to read in 18 months rather than years.
  • Artificial intelligence is beginning to prove that it can accelerate the impact teachers have on students and help solve a stubborn teacher shortage.
  • Chatbots backed by large language models can help students, from primary education to certification programs, self-guide through voluminous materials and tailor their education to specific learning styles [preferences].

The Rise of AI: New Rules for Super T Professionals and Next Steps for EdLeaders — from gettingsmart.com by Tom Vander Ark

Key Points

  • The rise of artificial intelligence, especially generative AI, boosts productivity in content creation–text, code, images and increasingly video.
  • Here are six preliminary conclusions about the nature of work and learning.

The Future Of Education: Embracing AI For Student Success — from forbes.com by Dr. Michael Horowitz

Unfortunately, too often attention is focused on the problems of AI—that it allows students to cheat and can undermine the value of what teachers bring to the learning equation. This viewpoint ignores the immense possibilities that AI can bring to education and across every industry.

The fact is that students have already embraced this new technology, which is neither a new story nor a surprising one in education. Leaders should accept this and understand that people, not robots, must ultimately create the path forward. It is only by deploying resources, training and policies at every level of our institutions that we can begin to realize the vast potential of what AI can offer.

AI Tools in Education: Doing Less While Learning More — from campustechnology.com by Mary Grush
A Q&A with Mark Frydenberg

Why Students & Teachers Should Get Excited about ChatGPT — from ivypanda.com with thanks to Ruth Kinloch for this resource

Table of Contents for the article at IvyPanda.com entitled Why Students & Teachers Should Get Excited about ChatGPT

Excerpt re: Uses of ChatGPT for Teachers

  • Diverse assignments.
  • Individualized approach.
  • Interesting classes.
  • Debates.
  • Critical thinking.
  • Grammar and vocabulary.
  • Homework review.

SAIL: State of Research: AI & Education — from buttondown.email by George Siemens
Information re: current AI and Learning Labs, education updates, and technology

Why ethical AI requires a future-ready and inclusive education system — from weforum.org

A specter is haunting higher education — from aiandacademia.substack.com by Bryan Alexander
Fall semester after the generative AI revolution

In this post I’d like to explore that apocalyptic model. For reasons of space, I’ll leave off analyzing student cheating motivations or questioning the entire edifice of grade-based assessment. I’ll save potential solutions for another post.

Let’s dive into the practical aspects of teaching to see why Mollick and Bogost foresee such a dire semester ahead.

Items re: Code Interpreter

Code Interpreter continues OpenAI’s long tradition of giving terrible names to things, because it might be most useful for those who do not code at all. It essentially allows the most advanced AI available, GPT-4, to upload and download information, and to write and execute programs for you in a persistent workspace. That allows the AI to do all sorts of things it couldn’t do before, and be useful in ways that were impossible with ChatGPT.

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Just because we can, doesn’t mean we should [Christian]

On 06/02/2023, in 21st century, Artificial Intelligence / Machine Learning / Deep Learning / Algorithms, business, computer science, corporate / business world, dangers of the status quo, Daniel S. Christian, engineering, programming, by Daniel Christian

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Introducing Teach AI — Empowering educators to teach w/ AI & about AI [ISTE & many others]

On 05/09/2023, in 21st century, 24x7x365 access, adjunct faculty, Amazon, Artificial Intelligence / Machine Learning / Deep Learning / Algorithms, change, collaboration, colleges, communities of practice, community colleges, computer science, content development, aggregation, repositories, copyright/ownership/NFTs, corporate universities / corporate training, digital learning, education, education technology, emerging technologies, experimentation, faculty, future, future of higher education, game-changing environment, generational differences, global / globalization, heutagogy, higher education, homeschooling/homeschoolers, human-computer interaction (HCI), innovation, instructional design, intelligent systems, intelligent tutoring, IT in HE, K-12 related, law schools, leadership, learning, learning agents, learning ecosystem, Learning Experience Design, Learning from the Living [Class] Room, learning hubs & pods & microschooling, learning preferences, learning spaces, learning theories, library / librarians, lifelong learning, Microsoft, more voice more choice more control, online media, online tutoring, open courseware and systems, personalized/customized learning, platforms, productivity / tips and tricks, professional development, programming, research, skills, society, strategy, student teaching/teacher education, student-related, teachers, teaching & learning, teaching online, the downsides of technology, tools, training / L&D, trends, United States, universities, vendors, virtual tutoring, vision/possibilities, web-based collaboration, workplace, youth, by Daniel Christian

Teach AI -- Empowering educators to teach with AI and about AI

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Radar Trends to Watch: May 2023 Developments in Programming, Security, Web, and More [Loukides]

On 05/02/2023, in Amazon, Artificial Intelligence / Machine Learning / Deep Learning / Algorithms, Augmented Reality (AR), computer science, Facebook / Meta Platforms, Google, Microsoft, NVIDIA, platforms, programming, tools, trends, vendors, Virtual Reality (VR) / worlds / learning, web design and production, XR - extended reality, by Daniel Christian

Radar Trends to Watch: May 2023 Developments in Programming, Security, Web, and More — from oreilly.com by Mike Loukides

Excerpt:

Large language models continue to colonize the technology landscape. They’ve broken out of the AI category, and now are showing up in security, programming, and even the web. That’s a natural progression, and not something we should be afraid of: they’re not coming for our jobs. But they are remaking the technology industry.

One part of this remaking is the proliferation of “small” large language models. We’ve noted the appearance of llama.cpp, Alpaca, Vicuna, Dolly 2.0, Koala, and a few others. But that’s just the tip of the iceberg. Small LLMs are appearing every day, and some will even run in a web browser. This trend promises to be even more important than the rise of the “large” LLMs, like GPT-4. Only a few organizations can build, train, and run the large LLMs. But almost anyone can train a small LLM that will run on a well-equipped laptop or desktop.

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