Learning Ecosystems

we think there is room to make search much better than it is today.

we are launching a new prototype called SearchGPT: https://t.co/A28Y03X1So

we will learn from the prototype, make it better, and then integrate the tech into ChatGPT to make it real-time and maximally helpful.

— Sam Altman (@sama) July 25, 2024

Also see:

“Who to follow in AI” in 2024? [Part II] — from ai-supremacy.com by Michael Spencer [some of posting is behind a paywall]
Part II – #19-34
“Who to follow in AI” in 2024? [Part III] — from ai-supremacy.com by Michael Spencer [some of posting is behind a paywall]
Part III – #35-55

Along these lines, also see:

Lots of folks talk about AI influencer content, but these AI influencers are also just damn good humans ?@rowancheung @nonmayorpete @decisionleader @rachel_l_woods @emollick @conorgrennan @sineadbovell @DonAllenIII @ManuVision @karenxcheng

*non-exhaustive, too many to include

— Allie K. Miller (@alliekmiller) July 13, 2024

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

Key Takeaways

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

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

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

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

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

What they’re saying: “It’s a new way for us to work,” Nike lead footwear designer Juliana Sagat told Axios during a media tour of the showcase on Tuesday.
.

AI meets ‘Do no harm’: Healthcare grapples with tech promises — from finance.yahoo.com by Maya Benjamin

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

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

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

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

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

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

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

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

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

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

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

Some scripture and wisdom for us

On 07/23/2024, in faith, global / globalization, hearts -- matters of the heart, relationships, religion, society, by Daniel Christian

⁹For in Christ all the fullness of the Deity lives in bodily form, ¹⁰and in Christ you have been brought to fullness. He is the head over every power and authority.

Psalm 36:5-7 New International Version

5 Your love, Lord, reaches to the heavens,
your faithfulness to the skies.
6 Your righteousness is like the highest mountains,
your justice like the great deep.
You, Lord, preserve both people and animals.
7 How priceless is your unfailing love, O God!
People take refuge in the shadow of your wings.

Matthew 16:15-16 New International Version

15 “But what about you?” he asked. “Who do you say I am?”
16 Simon Peter answered, “You are the Messiah, the Son of the living God.”

Matthew 19:14 New International Version

Jesus said, “Let the little children come to me, and do not hinder them, for the kingdom of heaven belongs to such as these.”

A $100,000 sticker price at Vanderbilt U! + other items re: the higher education learning ecosystem

On 07/23/2024, in adult learning, business side of he, career development, colleges, community colleges, cost of getting a degree, dangers of the status quo, education reform, higher education, learning ecosystem, neurodivergent/special needs, parents/guardians, pathways, student-related, United States, universities, by Daniel Christian

The Progressive Case for Reforming Higher Ed — from insidehighered.com by Michael D. Smith
Customized, digital education offers a path for progressive reform, Michael D. Smith writes.

That’s the bad news. But there’s good news, too. New digital technologies have arrived during the past decade for delivering instruction and evaluating individual student learning at scale. If we embrace them, they can make real reform possible and allow us to imagine a fairer, more accessible system of higher education—one that will enable us to better serve the many students who are left out of our existing scarcity-based model.
…
I think it should be to reform our educational system in ways that will benefit society. And with the advent of new digital technologies, we have a once-in-a-generation opportunity to do just that. If we embrace those technologies now, we can democratize access to the knowledge that students from all socioeconomic backgrounds need to discover and develop their talents, and we can make it possible for them to earn the credentials they need to signal their knowledge to employers—all so that they can use their talents to make a difference in the world.

But in the years ahead, thanks to these new technologies, the broader ecosystem that these institutions exist in is going to expand and change dramatically. Gradually, elite residential colleges and universities will lose their dominant place in that ecosystem, and customized digital learning will first disrupt and then come to dominate a new system of higher education—one that reaches more people, and generates greater benefits for society, than ever before.

Enrollment woes hit both private and public colleges in 2023, S&P reports — from highereddive.com by Ben Unglesbee
Analysts with the ratings agency described a “tough year” in the higher ed world as revenue pressures ran into rising costs.

Dive Brief:

Fiscal 2023 was a “tough year” for private nonprofit colleges amid a “long trend of weakening demand,” S&P Global Ratings said in a Tuesday report.
Median full-time equivalent enrollment at private nonprofits fell 0.8% year over year in fiscal 2023, while retention rates hit a five-year low of 82.4%, according to S&P’s analysis. Given demand pressures and rising costs, institutions in the private nonprofit sector saw five times more credit downgrades than upgrades during the fiscal year.
In a separate report on public colleges, S&P analysts said the recently ended fiscal year also tested the financial resilience of those institutions, with median full-time equivalent enrollment falling 0.7% for the sector.

We have to remember all of this as we design more inclusive pathways to promising opportunities. A good job can often include flexible or hybrid working options, but a good job also includes some softer aspects connected to safety, wellbeing, creativity, growth, and the freedom to make choices and make decisions.

Dr. Michelle R. Weise in How Do You Define a Good Job?

President Joe Biden canceled an additional $1.2 billion in student debt for public servants on Thursday, the latest effort to provide loan relief and deliver on one of his signature initiatives. The assistance will affect 35,000 public service workers enrolled in the government’s loan forgiveness program, including nurses, firefighters and teachers. The Education Department has now forgiven $168.5 billion in student debt for 4.76 million Americans. Biden’s more ambitious plan to help Americans increasingly buried for decades under massive educational debt, a $400 billion plan for broad student debt relief, was blocked by the US Supreme Court.

— from Bloomberg.com’s Evening Briefing

Sticker shock: A look at the complicated world of tuition pricing — from highereddive.com by Ben Unglesbee
Despite attention to lofty sticker costs, the practice of discounting has reached new highs, confusing students and straining revenue for institutions.

This spring, the price of college rode the news cycle again as headlines featured an eye-popping $100,000 in attendance costs at Vanderbilt University.
…
The practice of marking down tuition sticker prices is decades old and comes with few benefits at this point, many experts say. It can mislead students and muddy the conversation around the value of a college education, while for institutions tuition discounting can wear on revenue and finances in a competitive environment.
…
At the same time, tuition discounting among private nonprofits hit a new high of 56.1% in 2023-24.

“The number that bothers me the most is the increasing costs for the low-income kids,” Levine said. “If you’re making $50,000 or under, you still have to come up with almost $20,000, which is essentially impossible.”

The Three Wave Strategy of AI Implementation — from aiczar.blogspot.com by Alexander “Sasha” Sidorkin

The First Wave: Low-Hanging Fruit
…
These are just examples:

Student services
Resume and Cover Letter Review (Career Services)Offering individual resume critiques
Academic Policy Development and Enforcement (Academic Affairs)…
Health Education and Outreach (Health and Wellness Services) …
Sustainability Education and Outreach (Sustainability and Environmental Initiatives) …
Digital Marketing and Social Media Management (University Communications and Marketing) …
Grant Proposal Development and Submission (Research and Innovation) …
Financial Aid Counseling (Financial Aid and Scholarships) …
Alumni Communications (Alumni Relations and Development) …
Scholarly Communications (Library Services) …
International Student and Scholar Services (International Programs and Global Engagement)

Duolingo Max: A Paid Subscription to Learn a Language Using ChatGPT AI (Worth It?) — from theaigirl.substack.com by Diana Dovgopol (behind paywall for the most part)
The integration of AI in language learning apps could be game-changing.

Research Insights #12: Copyrights and Academia — from aiedusimplified.substack.com by Lance Eaton
Scholarly authors are not going to be happy…

A while back, I wrote about some of my thoughts on generative AI around the copyright issues. Not much has changed since then, but a new article (Academic authors ‘shocked’ after Taylor & Francis sells access to their research to Microsoft AI) is definitely stirring up all sorts of concerns by academic authors. The basics of that article are that Taylor & Francis sold access to authors’ research to Microsoft for AI development without informing the authors, sparking significant concern among academics and the Society of Authors about transparency, consent, and the implications for authors’ rights and future earnings.

The stir can be seen as both valid and redundant. Two folks’ points stick out to me in this regard.

AI Tools for Legal Work: Claude, Gemini, Copilot, and More [americanbar.org]

On 07/23/2024, in Artificial Intelligence/Agents/LLMs/and Related, ideas, innovation, law schools, Legal operations, legal reform, legal technologies, legislatures / government / legal, United States, vendors, videoconferencing, Virtual courts and law firms, by Daniel Christian

AI Tools for Legal Work: Claude, Gemini, Copilot, and More — from americanbar.org

Summary

Uncover four AI tools that can aid legal professionals, including Claude, Gemini, Copilot and ChatGPT.
Discover the capabilities of these tools and how their functionality can streamline law firm’s workflow, improving efficiency.
Learn how much these AI tools cost to incorporate into your tech stack, and determine if there are any security risks to be aware

Also relevant, see:

Revolutionizing Dispute Resolution: AAA’s Acquisition of ODR.com & The Future of AI-Powered Arbitration — from tlpodcast.com by Bridget McCormack and Colin Rule
Bridget McCormack and Colin Rule discuss the American Arbitration Association’s acquisition of ODR.com and the strategic partnership between AAA and ODR.com to revolutionize dispute resolution.

Creating A Gen AI-Era Legal Function: What It Means, Why It Matters, And Where To Start — from legalmosaic.com by Mark Cohen
This article addresses 3 core questions:
What is a Gen AI-era legal organization?
Why does it matter?
Where to start?
Charting Change in Legal Podcast, episode 27 – Listen Here! — from legaltechnology.com by Caroline Hill and Ari Kaplan
Clio Sets Legal Tech Funding Record with $900M Raise at $3B Valuation; LawNext Has Exclusive Podcast Interview with Founder Jack Newton — from lawnext.com by Bob Ambrogi

How to use Perplexity in your daily workflow — from ai-supremacy.com by Michael Spencer and Alex McFarland
“I barely use Google anymore (for anything)” says today’s guest author.

Make Perplexity your go-to research companion with these strategies:

Morning briefings: Start your day by asking Perplexity for the latest news in your field. (I personally like to use Perplexity to curate the top AI news of the day to consider writing about for Unite AI and Techopedia.)
Fact-checking: Use it to quickly verify information before including it in your work.
Brainstorming: Generate ideas for projects or content by asking open-ended questions.
Learning new concepts: When you encounter an unfamiliar term or idea, turn to Perplexity for a quick, comprehensive explanation.
Writing assistance: Use it to find relevant statistics, examples, or counterarguments for your content.

From DSC:
So I used it to ask “What is Elon Musk’s Memphis Supercluster?” (which went online yesterday I believe) — which resulted in this reply:

Elon Musk’s Memphis Supercluster is a newly activated AI training cluster that is claimed to be the most powerful in the world. Here are the key details about this supercomputer:

1. Location: The supercluster is located in Memphis, Tennessee[1][2].

2. Hardware: It consists of 100,000 liquid-cooled Nvidia H100 GPUs connected through a single RDMA (Remote Direct Memory Access) fabric[1][3].

3. Purpose: The supercluster is designed for training large language models (LLMs) and other advanced AI technologies for Musk’s xAI company[1][2].

4. Activation: The Memphis Supercluster began training at approximately 4:20 AM local time on July 22, 2024[1][3].

5. Collaboration: The project is a result of collaboration between xAI, X (formerly Twitter), Nvidia, and other supporting companies[1][2].

6. Investment: With each H100 GPU estimated to cost between $30,000 to $40,000, the total investment in GPUs alone is estimated to be between $3 billion to $4 billion[5].

7. Goals: Musk claims that this supercluster will be used to develop “the world’s most powerful AI by every measure” by December 2024[1].

8. Comparison: The Memphis Supercluster’s 100,000 H100 GPUs significantly outclass other supercomputers in terms of GPU horsepower, such as Frontier (37,888 AMD GPUs) and Microsoft Eagle (14,400 Nvidia H100 GPUs)[3].

9. Infrastructure: The project required significant infrastructure development, including fiber optic networking[5].

While Musk’s claims about the supercluster’s capabilities are ambitious, it remains to be seen how it will perform in practice and whether it will meet the stated goals within the given timeframe[1].

Citations:
[1] https://venturebeat.com/ai/elon-musk-announces-most-powerful-ai-training-cluster-in-the-world/
[2] https://www.tuaw.com/2024/07/22/elon-musks-xai-unveils-worlds-most-powerful-ai-training-cluster/
[3] https://www.tomshardware.com/pc-components/gpus/elon-musk-fires-up-the-most-powerful-ai-training-cluster-in-the-world-uses-100000-nvidia-h100-gpus-on-a-single-fabric
[4] https://www.thestack.technology/xai-elon-musk-ai-supercomputer/
[5] https://www.benzinga.com/news/24/07/39881748/elon-musks-xai-flips-the-switch-on-100k-nvidia-h100-gpus-worth-up-to-4b-in-memphis-supercluster-most
[6] https://www.youtube.com/watch?v=0JhtJa05C2Y

—–

Elon’s AI empire expands — from theneurondaily.com by Grant Harvey
Elon Musk’s team at xAI just powered on the “World’s Most Powerful AI Training Cluster.”

If you don’t know what a supercluster is, it’s basically a massive network of Nvidia GPUs (computer chips) working together as a single unit to solve “super” complex calculations at unprecedented speeds.

And this Memphis Supercluster is the most “super” supercluster we’ve ever seen. The new facility, dubbed the “Gigafactory of Compute”, is a beast:

100,000 liquid-cooled Nvidia H100 GPUs on a single RDMA fabric (for context, Google snagged only 50,000 H100 GPUs last year).
Up to 150 megawatts of electricity usage per hour—enough for 100K homes.
At least one million gallons of water per day to keep cool!

What to expect: Better models, more frequently. That’s been the trend, at least—look at how the last few model releases have become more squished together.

OpenAI to make GPT-4o Advanced Voice available by the end of the month to select group of users — from tomsguide.com by Ryan Morrison

GPT-4o Advanced Voice is an entirely new type of voice assistant, similar to but larger than the recently unveiled French model Moshi, which argued with me over a story.

In demos of the model, we’ve seen GPT-4o Advanced Voice create custom character voices, generate sound effects while telling a story and even act as a live translator.

This native speech ability is a significant step in creating more natural AI assistants. In the future, it will also come with live vision abilities, allowing the AI to see what you see.

Could AGI break the world? — from theneurondaily.com by Noah Edelman

“Biggest IT outage in history” proves we’re not ready for AGI.
…
Here’s the TL;DR—a faulty software update from cybersecurity firm Crowdstrike made this happen:

Grounded 5,000+ flights around the world.
Slowed healthcare across the UK.
Forced retailers to revert to cash-only transactions in Australia (what is this, the stone ages?!).

…
Here’s where AI comes in: Imagine today’s AI as a new operating system. In 5-10 years, it’ll likely be as integrated into our economy as Microsoft’s cloud servers are now. This isn’t that far-fetched—Microsoft is already planning to embed AI into all its programs.

So what if a Crowdstrike-like incident happens with a more powerful AI system? Some experts predict an AI-powered IT outage could be 10x worse than Friday’s fiasco.

The Crowdstrike outage and global software’s single-point failure problem — from cnbc.com by Kaya Ginsky

KEY POINTS

The CrowdStrike software bug that took down global IT infrastructure exposed a single-point-of-failure risk unrelated to malicious cyberattack.
National and cybersecurity experts say the risk of this kind of technical outage is increasing alongside the risk of hacks, and the market will need to adopt better competitive practices.
Government is also likely to look at new regulations related to software updates and patches.

The “largest IT outage in history,” briefly explained — from vox.com by Li Zhou
Airlines, banks, and hospitals saw computer systems go down because of a CrowdStrike software glitch.

The race to deploy GenAI in the legal sector — from sifted.eu by Kai Nicol-Schwarz
LegalFly’s €15m Series A is the latest in a string of raises for European GenAI legaltech startups

Speak to any lawyer and you’ll soon discover that the job is a far cry from the fevered excitement of a courtroom drama. Behind the scenes, there’s an endless amount of laborious and typically manual tasks like drafting, reviewing and negotiating contracts and other legal documents that have to be done manually daily.

It was this realisation that led four product managers at dating app giant Tinder, frustrated by what they saw as a lack of AI adoption at the company, to jump ship and found Belgium-based LegalFly last year. The startup is building a generative AI copilot for lawyers which eventually, it says, will be able to automate entire workflows in the legal profession.

“We were looking at what GenAI was good at, which is synthesising data and generating content,” says founder and CEO Ruben Miessen. “What industry works like that? Law, and it does it all in a very manual way.”

“The legal industry is a global behemoth that’s seen minimal innovation since the advent of Microsoft Word in the 90s,” says Carina Namih, partner at Plural. “GenAI — especially with a human in the loop to keep accuracy high — is ideally suited to drafting, editing and negotiating legal documents.”

Legal Technology Company Relativity Announces OpenAI ChatGPT Integration — from lawfuel.com

CHICAGO– July 18 – Relativity, a global legal technology company, today announced it is integrating with OpenAI’s ChatGPT Enterprise Compliance API. The integration adds ChatGPT Enterprise as a Collect in RelativityOne data source, allowing users to seamlessly collect and process human-to-AI conversational data.

“The future around human and AI interaction is changing rapidly, calling for innovative legal data management solutions to include novel data sources, such as conversations with AI agents,” said Chris Brown, Chief Product Officer at Relativity. “In answering that call, we are committed to equipping our community with the tools they need to traverse the evolving future of human-to-AI conversational data and putting users in control of this new data landscape.”

AI-assisted job fraud is spiking — from thedeepview.co by Ian Krietzberg

A recent report published by the Identity Theft Resource Center (ITRC) found that data from 2023 shows “an environment where bad actors are more effective, efficient and successful in launching attacks. The result is fewer victims (or at least fewer victim reports), but the impact on individuals and businesses is arguably more damaging.”

One of these attacks involves fake job postings.

The details: The ITRC said that victim reports of job and employment scams spiked some 118% in 2023. These scams were primarily carried out through LinkedIn and other job search platforms.

- The bad actors here would either create fake (but professional-looking) job postings, profiles and websites or impersonate legitimate companies, all with the hopes of landing victims to move onto the interview process.
- These actors would then move the conversation onto a third-party messaging platform, and ask for identity verification information (driver’s licenses, social security numbers, direct deposit information, etc.).

Hypernatural — AI videos you can actually use. — via Jeremy Caplan’s Wonder Tools

Hypernatural is an AI video platform that makes it easy to create beautiful, ready-to share videos from anything. Stop settling for glitchy 3s generated videos and boring stock footage. Turn your ideas, scripts, podcasts and more into incredible short-form videos in minutes.

GPT-4o mini: advancing cost-efficient intelligence — from openai.com
Introducing our most cost-efficient small model

OpenAI is committed to making intelligence as broadly accessible as possible. Today, we’re announcing GPT-4o mini, our most cost-efficient small model. We expect GPT-4o mini will significantly expand the range of applications built with AI by making intelligence much more affordable. GPT-4o mini scores 82% on MMLU and currently outperforms GPT-4¹ on chat preferences in LMSYS leaderboard(opens in a new window). It is priced at 15 cents per million input tokens and 60 cents per million output tokens, an order of magnitude more affordable than previous frontier models and more than 60% cheaper than GPT-3.5 Turbo.

GPT-4o mini enables a broad range of tasks with its low cost and latency, such as applications that chain or parallelize multiple model calls (e.g., calling multiple APIs), pass a large volume of context to the model (e.g., full code base or conversation history), or interact with customers through fast, real-time text responses (e.g., customer support chatbots).

Also see what this means from Ben’s Bites, The Neuron, and as The Rundown AI asserts:

Why it matters: While it’s not GPT-5, the price and capabilities of this mini-release significantly lower the barrier to entry for AI integrations — and marks a massive leap over GPT 3.5 Turbo. With models getting cheaper, faster, and more intelligent with each release, the perfect storm for AI acceleration is forming.

Nvidia: More AI Waves Are Taking Shape — from seekingalpha.com by Eric Sprague

Summary

Nvidia Corporation is transitioning from a GPU designer to an AI factory builder.
AI spending will continue to grow in healthcare, government, and robotics.
CEO Jensen Huang says the AI robot industry could be bigger than the auto and consumer electronics industries combined.

Byte-Sized Courses: NVIDIA Offers Self-Paced Career Development in AI and Data Science — from blogs.nvidia.com by Andy Bui
Industry experts gather to share advice on starting a career in AI, highlighting technical training and certifications for career growth.

“Deep Learning: Five New Superpowers of Higher Education” [Klitgaard] + other items re: AI in our learning ecosystems

On 07/19/2024, in Artificial Intelligence/Agents/LLMs/and Related, bots, Canvas - and other Instructure-related items, change, changing business models, CMS/LMS, colleges, community colleges, content development, aggregation, repositories, credentialing, digital learning, education, education technology, emerging technologies, engagement / engaging students, experimentation, future, future of higher education, game-changing environment, generational differences, higher education, human-computer interaction (HCI), ideas, innovation, instructional design, intelligent systems, interactivity, IT in HE, K-12 related, languages and translation, learning, learning agents, learning ecosystem, Learning Experience Design, Learning from the Living [Class] Room, learning spaces, liberal arts, Natural Language Processing (NLP), personalized/customized learning, platforms, productivity / tips and tricks, professional development, student-related, teachers, teaching & learning, tools, United States, universities, vendors, vision/possibilities, voice recognition / voice enabled interfaces, by Daniel Christian

What aspects of teaching should remain human? — from hechingerreport.org by Chris Berdik
Even techno optimists hesitate to say teaching is best left to the bots, but there’s a debate about where to draw the line

ATLANTA — Science teacher Daniel Thompson circulated among his sixth graders at Ron Clark Academy on a recent spring morning, spot checking their work and leading them into discussions about the day’s lessons on weather and water. He had a helper: As Thompson paced around the class, peppering them with questions, he frequently turned to a voice-activated AI to summon apps and educational videos onto large-screen smartboards.

When a student asked, “Are there any animals that don’t need water?” Thompson put the question to the AI. Within seconds, an illustrated blurb about kangaroo rats appeared before the class.

Nitta said there’s something “deeply profound” about human communication that allows flesh-and-blood teachers to quickly spot and address things like confusion and flagging interest in real time.

Deep Learning: Five New Superpowers of Higher Education — from jeppestricker.substack.com by Jeppe Klitgaard Stricker
How Deep Learning is Transforming Higher Education

While the traditional model of education is entrenched, emerging technologies like deep learning promise to shake its foundations and usher in an age of personalized, adaptive, and egalitarian education. It is expected to have a significant impact across higher education in several key ways.
…
…deep learning introduces adaptivity into the learning process. Unlike a typical lecture, deep learning systems can observe student performance in real-time. Confusion over a concept triggers instant changes to instructional tactics. Misconceptions are identified early and remediated quickly. Students stay in their zone of proximal development, constantly challenged but never overwhelmed. This adaptivity prevents frustration and stagnation.

InstructureCon 24 Conference Notes — from onedtech.philhillaa.com by Glenda Morgan
Another solid conference from the market leader, even with unclear roadmap

The new stuff: AI
Instructure rolled out multiple updates and improvements – more than last year. These included many AI-based or focused tools and services as well as some functional improvements. I’ll describe the AI features first.

Sal Khan was a surprise visitor to the keynote stage to announce the September availability of the full suite of AI-enabled Khanmigo Teacher Tools for Canvas users. The suite includes 20 tools, such as tools to generate lesson plans and quiz questions and write letters of recommendation. Next year, they plan to roll out tools for students themselves to use.
…
Other AI-based features include.

- Discussion tool summaries and AI-generated responses…
- Translation of inbox messages and discussions…
- Smart search …
- Intelligent Insights…

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

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

School 3.0: Reimagining Education in 2026, 2029, and 2034 — from davidborish.com by David Borish
.

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

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

Students Speak Out: How to Make High Schools Places Where They Want to Learn — from the74million.org by Beth Fertig
Too many high school students complain that school is boring. Students share what makes school enjoyable.

.

Excerpts (emphasis DSC):

.
Solving chronic absenteeism involves tackling big structural problems like transportation and infrastructure. But we also have to make our schools places where young people want to learn. Too many teens, in particular, had negative feelings about school even before the pandemic. Yale researchers conducting a national survey of high school students found most teens spent their days “tired,” “stressed,” and “bored.” Fewer than 3 in 100 reported feeling interested while in school.

Decades of research prove that students learn more when they experience high levels of academic engagement and social belonging in school.

Students at all four schools experience internships, work-based learning and partnerships with community organizations, which they said make classwork feel more relevant.

Free Sites for Back to School [Restifo]

On 07/19/2024, in animation, art, career development, chemistry, cloud-based computing / apps / other cloud-related, collaboration, communications, content development, aggregation, repositories, creativity, data related items, design, digital audio, digital learning, digital video, education technology, educational games / serious games, Emotion, engagement / engaging students, experimentation, Google, graphics, history, ideas, K-12 related, languages and translation, learning ecosystem, Learning Experience Design, legislatures / government / legal, mathematics, multimedia, music, new media literacies, online media, passions, pedagogy, platforms, play, productivity / tips and tricks, science, student teaching/teacher education, student-related, teachers, teaching & learning, technologies for your home, tools, United States, vendors, Virtual Reality (VR) / worlds / learning, web-based collaboration, writing, youth, by Daniel Christian

Free Sites for Back to School — from techlearning.com by Diana Restifo
Top free and freemium sites for learning

An internet search for free learning resources will likely return a long list that includes some useful sites amid a sea of not-really-free and not-very-useful sites.

To help teachers more easily find the best free and freemium sites they can use in their classrooms and curricula, I’ve curated a list that describes the top free/freemium sites for learning.

In some cases, Tech & Learning has reviewed the site in detail, and those links are included so readers can find out more about how to make the best use of the online materials. In all cases, the websites below provide valuable educational tools, lessons, and ideas, and are worth exploring further.

Two bonus postings here! 🙂

Where Is K-12 Enrollment Headed? Population Trends, by the Numbers — from edweek.org by Mark Lieberman
America is projected to have 3 million fewer K-12 students attending public school by 2031 than it did in 2013.
How to Kill Student Curiosity in 5 Steps (and What to Do Instead) — from edweek.org by Olivia Odileke
The unintentional missteps teachers and administrators are making
I’ve observed five major ways we’re unintentionally stifling curiosity and issue a call to action for educators, administrators, and policymakers to join the curiosity revolution:

How AI will change education [Woodbury], Introducing Eureka Labs [Karpathy] + numerous other items re: AI in our learning ecosystems

On 07/18/2024, in adjunct faculty, Artificial Intelligence/Agents/LLMs/and Related, bots, career development, change, changing business models, colleges, community colleges, computer science, digital learning, education, education technology, emerging technologies, Europe, experimentation, faculty/staff, future, future of higher education, game-changing environment, generational differences, heutagogy, higher education, human-computer interaction (HCI), ideas, innovation, instructional design, intelligent systems, intelligent tutoring, K-12 related, learning ecosystem, Learning from the Living [Class] Room, lifelong learning, Open AI, platforms, productivity / tips and tricks, professional development, programming, student-related, teachers, teaching & learning, tools, UK, United States, universities, vendors, writing, by Daniel Christian

Introducing Eureka Labs — “We are building a new kind of school that is AI native.” — by Andrej Karpathy, Previously Director of AI @ Tesla, founding team @ OpenAI

However, with recent progress in generative AI, this learning experience feels tractable. The teacher still designs the course materials, but they are supported, leveraged and scaled with an AI Teaching Assistant who is optimized to help guide the students through them. This Teacher + AI symbiosis could run an entire curriculum of courses on a common platform. If we are successful, it will be easy for anyone to learn anything, expanding education in both reach (a large number of people learning something) and extent (any one person learning a large amount of subjects, beyond what may be possible today unassisted).

?? Excited to share that I am starting an AI+Education company called Eureka Labs.
The announcement:

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We are Eureka Labs and we are building a new kind of school that is AI native.

How can we approach an ideal experience for learning something new? For example, in the case… pic.twitter.com/RHPkqdjB8R

— Andrej Karpathy (@karpathy) July 16, 2024

After Tesla and OpenAI, Andrej Karpathy’s startup aims to apply AI assistants to education — from techcrunch.com by Rebecca Bellan

Andrej Karpathy, former head of AI at Tesla and researcher at OpenAI, is launching Eureka Labs, an “AI native” education platform. In tech speak, that usually means built from the ground up with AI at its core. And while Eureka Labs’ AI ambitions are lofty, the company is starting with a more traditional approach to teaching.

San Francisco-based Eureka Labs, which Karpathy registered as an LLC in Delaware on June 21, aims to leverage recent progress in generative AI to create AI teaching assistants that can guide students through course materials.

What does it mean for students to be AI-ready? — from timeshighereducation.com by David Joyner
Not everyone wants to be a computer scientist, a software engineer or a machine learning developer. We owe it to our students to prepare them with a full range of AI skills for the world they will graduate into, writes David Joyner

We owe it to our students to prepare them for this full range of AI skills, not merely the end points. The best way to fulfil this responsibility is to acknowledge and examine this new category of tools. More and more tools that students use daily – word processors, email, presentation software, development environments and more – have AI-based features. Practising with these tools is a valuable exercise for students, so we should not prohibit that behaviour. But at the same time, we do not have to just shrug our shoulders and accept however much AI assistance students feel like using.

Teachers say AI usage has surged since the school year started — from eschoolnews.com by Laura Ascione
Half of teachers report an increase in the use of AI and continue to seek professional learning

Fifty percent of educators reported an increase in AI usage, by both students and teachers, over the 2023–24 school year, according to The 2024 Educator AI Report: Perceptions, Practices, and Potential, from Imagine Learning, a digital curriculum solutions provider.

The report offers insight into how teachers’ perceptions of AI use in the classroom have evolved since the start of the 2023–24 school year.

OPINION: What teachers call AI cheating, leaders in the workforce might call progress — from hechingerreport.org by C. Edward Waston and Jose Antonio Bowen
Authors of a new guide explore what AI literacy might look like in a new era

Excerpt (emphasis DSC):

But this very ease has teachers wondering how we can keep our students motivated to do the hard work when there are so many new shortcuts. Learning goals, curriculums, courses and the way we grade assignments will all need to be reevaluated.

The new realities of work also must be considered. A shift in employers’ job postings rewards those with AI skills. Many companies report already adopting generative AI tools or anticipate incorporating them into their workflow in the near future.

A core tension has emerged: Many teachers want to keep AI out of our classrooms, but also know that future workplaces may demand AI literacy.

What we call cheating, business could see as efficiency and progress.

It is increasingly likely that using AI will emerge as an essential skill for students, regardless of their career ambitions, and that action is required of educational institutions as a result.

Teaching Writing With AI Without Replacing Thinking: 4 Tips — from by Erik Ofgang
AI has a lot of potential for writing students, but we can’t let it replace the thinking parts of writing, says writing professor Steve Graham

Reconciling these two goals — having AI help students learn to write more efficiently without hijacking the cognitive benefits of writing — should be a key goal of educators. Finding the ideal balance will require more work from both researchers and classroom educators, but Graham shares some initial tips for doing this currently.

Why I ban AI use for writing assignments — from timeshighereducation.com by James Stacey Taylor
Students may see handwriting essays in class as a needlessly time-consuming approach to assignments, but I want them to learn how to engage with arguments, develop their own views and convey them effectively, writes James Stacey Taylor

Could they use AI to generate objections to the arguments they read? Of course. AI does a good job of summarising objections to Singer’s view. But I don’t want students to parrot others’ objections. I want them to think of objections themselves.

Could AI be useful for them in organising their exegesis of others’ views and their criticisms of them? Yes. But, again, part of what I want my students to learn is precisely what this outsources to the AI: how to organise their thoughts and communicate them effectively.

How AI Will Change Education — from digitalnative.tech by Rex Woodbury
Predicting Innovation in Education, from Personalized Learning to the Downfall of College

This week explores how AI will bleed into education, looking at three segments of education worth watching, then examining which business models will prevail.

Personalized Learning and Tutoring
Teacher Tools
Alternatives to College
Final Thoughts: Business Models and Why Education Matters

New Guidance from TeachAI and CSTA Emphasizes Computer Science Education More Important than Ever in an Age of AI — from csteachers.org by CSTA
The guidance features new survey data and insights from teachers and experts in computer science (CS) and AI, informing the future of CS education.

SEATTLE, WA – July 16, 2024 – Today, TeachAI, led by Code.org, ETS, the International Society of Technology in Education (ISTE), Khan Academy, and the World Economic Forum, launches a new initiative in partnership with the Computer Science Teachers Association (CSTA) to support and empower educators as they grapple with the growing opportunities and risks of AI in computer science (CS) education.
…

The briefs draw on early research and insights from CSTA members, organizations in the TeachAI advisory committee, and expert focus groups to address common misconceptions about AI and offer a balanced perspective on critical issues in CS education, including:

Why is it Still Important for Students to Learn to Program?
How Are Computer Science Educators Teaching With and About AI?
How Can Students Become Critical Consumers and Responsible Creators of AI?

Learning Ecosystems

Some scripture and wisdom for us

Greetings!

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