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.

 

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! 🙂 

 

2024 Global Skills Report -- from Coursera

  • AI literacy emerges as a global imperative
  • AI readiness initiatives drive emerging skill adoption across regions
  • The digital skills gap persists in a rapidly evolving job market
  • Cybersecurity skills remain crucial amid talent shortages and evolving threats
  • Micro-credentials are a rapid pathway for learners to prepare for in-demand jobs
  • The global gender gap in online learning continues to narrow, but regional disparities persist
  • Different regions prioritize different skills, but the majority focus on emerging or foundational capabilities

You can use the Global Skills Report 2024 to:

  • Identify critical skills for your students to strengthen employability
  • Align curriculum to drive institutional advantage nationally
  • Track emerging skill trends like GenAI and cybersecurity
  • Understand entry-level and digital role skill trends across six regions
 

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

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

Topics/agenda:

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

 

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

PowerPoint slides of Daniel Christian's presentation at ETOM

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

 


Plus several more slides re: this vision.

 

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

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

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


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

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


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

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

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

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

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

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


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

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


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

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


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

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

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

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


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

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

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

 

Introducing ChatGPT Edu — from openai.com
An affordable offering for universities to responsibly bring AI to campus.

We’re announcing ChatGPT Edu, a version of ChatGPT built for universities to responsibly deploy AI to students, faculty, researchers, and campus operations. Powered by GPT-4o, ChatGPT Edu can reason across text and vision and use advanced tools such as data analysis. This new offering includes enterprise-level security and controls and is affordable for educational institutions.

We built ChatGPT Edu because we saw the success universities like the University of Oxford, Wharton School of the University of Pennsylvania(opens in a new window), University of Texas at Austin, Arizona State University(opens in a new window), and Columbia University in the City of New York were having with ChatGPT Enterprise.

ChatGPT can help with various tasks across campus, such as providing personalized tutoring for students and reviewing their resumes, helping researchers write grant applications, and assisting faculty with grading and feedback. 


Claude can now use tools — from anthropic.com

Excerpt (emphasis DSC):

Tool use, which enables Claude to interact with external tools and APIs, is now generally available across the entire Claude 3 model family on the Anthropic Messages API, Amazon Bedrock, and Google Cloud’s Vertex AI. With tool use, Claude can perform tasks, manipulate data, and provide more dynamic—and accurate—responses.

Define a toolset for Claude and specify your request in natural language. Claude will then select the appropriate tool to fulfill the task and, when appropriate, execute the corresponding action:

  • Extract structured data from unstructured text…
  • Convert natural language requests into structured API calls…
  • Answer questions by searching databases or using web APIs…
  • Automate simple tasks through software APIs…
  • Orchestrate multiple fast Claude subagents for granular tasks…

From DSC:
The above posting reminds me of this other posting…as AGENTS are likely going to become much more popular and part of our repertoire:

Forget Chatbots. AI Agents Are the Future — from wired.com by Will Knight
Startups and tech giants are trying to move from chatbots that offer help via text, to AI agents that can get stuff done. Recent demos include an AI coder called Devin and agents that play videogames.

Devin is just the latest, most polished example of a trend I’ve been tracking for a while—the emergence of AI agents that instead of just providing answers or advice about a problem presented by a human can take action to solve it. A few months back I test drove Auto-GPT, an open source program that attempts to do useful chores by taking actions on a person’s computer and on the web. Recently I tested another program called vimGPT to see how the visual skills of new AI models can help these agents browse the web more efficiently.

 


Looking Back on My AI Blog One Year In: AI Unfolding as Predicted — from stefanbauschard.substack.com Stefan Bauschard

On May 30, 2023, I’ve started blogging about AI, and, so far, I think things have been unfolding as predicted.

Topics included:

  • AGI
  • It’s not just another piece of Edtech
  • AI Literacy
  • Bot Teachers/tutors
  • AI Writing Detectors
  • AI Use in the Classroom is Uncontrollable
  • …and more

 

 
 

.
Grasp is the world’s first generative AI platform for finance professionals.

We build domain-specific AI systems that address the complex needs of investment bankers and management consultants.

By automating finance workflows, Grasp dramatically increases employee productivity and satisfaction.

 

The Verge | What’s Next With AI | February 2024 | Consumer Survey

 

 

 

 

 

 




Microsoft AI creates talking deepfakes from single photo — from inavateonthenet.net


The Great Hall – where now with AI? It is not ‘Human Connection V Innovative Technology’ but ‘Human Connection + Innovative Technology’ — from donaldclarkplanb.blogspot.com by Donald Clark

The theme of the day was Human Connection V Innovative Technology. I see this a lot at conferences, setting up the human connection (social) against the machine (AI). I think this is ALL wrong. It is, and has always been a dialectic, human connection (social) PLUS the machine. Everyone had a smartphone, most use it for work, comms and social media. The binary between human and tech has long disappeared. 


Techno-Social Engineering: Why the Future May Not Be Human, TikTok’s Powerful ForYou Algorithm, & More — from by Misha Da Vinci

Things to consider as you dive into this edition:

  • As we increasingly depend on technology, how is it changing us?
  • In the interaction between humans and technology, who is adapting to whom?
  • Is the technology being built for humans, or are we being changed to fit into tech systems?
  • As time passes, will we become more like robots or the AI models we use?
  • Over the next 30 years, as we increasingly interact with technology, who or what will we become?

 

Are we ready to navigate the complex ethics of advanced AI assistants? — from futureofbeinghuman.com by Andrew Maynard
An important new paper lays out the importance and complexities of ensuring increasingly advanced AI-based assistants are developed and used responsibly

Last week a behemoth of a paper was released by AI researchers in academia and industry on the ethics of advanced AI assistants.

It’s one of the most comprehensive and thoughtful papers on developing transformative AI capabilities in socially responsible ways that I’ve read in a while. And it’s essential reading for anyone developing and deploying AI-based systems that act as assistants or agents — including many of the AI apps and platforms that are currently being explored in business, government, and education.

The paper — The Ethics of Advanced AI Assistants — is written by 57 co-authors representing researchers at Google Deep Mind, Google Research, Jigsaw, and a number of prominent universities that include Edinburgh University, the University of Oxford, and Delft University of Technology. Coming in at 274 pages this is a massive piece of work. And as the authors persuasively argue, it’s a critically important one at this point in AI development.

From that large paper:

Key questions for the ethical and societal analysis of advanced AI assistants include:

  1. What is an advanced AI assistant? How does an AI assistant differ from other kinds of AI technology?
  2. What capabilities would an advanced AI assistant have? How capable could these assistants be?
  3. What is a good AI assistant? Are there certain values that we want advanced AI assistants to evidence across all contexts?
  4. Are there limits on what AI assistants should be allowed to do? If so, how are these limits determined?
  5. What should an AI assistant be aligned with? With user instructions, preferences, interests, values, well-being or something else?
  6. What issues need to be addressed for AI assistants to be safe? What does safety mean for this class of technologies?
  7. What new forms of persuasion might advanced AI assistants be capable of? How can we ensure that users remain appropriately in control of the technology?
  8. How can people – especially vulnerable users – be protected from AI manipulation and unwanted disclosure of personal information?
  9. Is anthropomorphism for AI assistants morally problematic? If so, might it still be permissible under certain conditions?
 

From DSC:
This would be huge for all of our learning ecosystems, as the learning agents could remember where a particular student or employee is at in terms of their learning curve for a particular topic.


Say What? Chat With RTX Brings Custom Chatbot to NVIDIA RTX AI PCs — from blogs.nvidia.com
Tech demo gives anyone with an RTX GPU the power of a personalized GPT chatbot.



 

Scammers trick company employee using video call filled with deepfakes of execs, steal $25 million — from techspot.com by Rob Thubron; via AI Valley
The victim was the only real person on the video conference call

The scammers used digitally recreated versions of an international company’s Chief Financial Officer and other employees to order $25 million in money transfers during a video conference call containing just one real person.

The victim, an employee at the Hong Kong branch of an unnamed multinational firm, was duped into taking part in a video conference call in which they were the only real person – the rest of the group were fake representations of real people, writes SCMP.

As we’ve seen in previous incidents where deepfakes were used to recreate someone without their permission, the scammers utilized publicly available video and audio footage to create these digital versions.


Letter from the YouTube CEO: 4 Big bets for 2024 — from blog.youtube by Neal Mohan, CEO, YouTube; via Ben’s Bites

.

#1: AI will empower human creativity.

#2: Creators should be recognized as next-generation studios.

#3: YouTube’s next frontier is the living room and subscriptions.

#4: Protecting the creator economy is foundational.

Viewers globally now watch more than 1 billion hours on average of YouTube content on their TVs every day.


Bard becomes Gemini: Try Ultra 1.0 and a new mobile app today — from blog.google by Sissie Hsiao; via Rundown AI
Bard is now known as Gemini, and we’re rolling out a mobile app and Gemini Advanced with Ultra 1.0.

Since we launched Bard last year, people all over the world have used it to collaborate with AI in a completely new way — to prepare for job interviews, debug code, brainstorm new business ideas or, as we announced last week, create captivating images.

Our mission with Bard has always been to give you direct access to our AI models, and Gemini represents our most capable family of models. To reflect this, Bard will now simply be known as Gemini.


A new way to discover places with generative AI in Maps — from blog.google by Miriam Daniel; via AI Valley
Here’s a look at how we’re bringing generative AI to Maps — rolling out this week to select Local Guides in the U.S.

Today, we’re introducing a new way to discover places with generative AI to help you do just that — no matter how specific, niche or broad your needs might be. Simply say what you’re looking for and our large-language models (LLMs) will analyze Maps’ detailed information about more than 250 million places and trusted insights from our community of over 300 million contributors to quickly make suggestions for where to go.

Starting in the U.S., this early access experiment launches this week to select Local Guides, who are some of the most active and passionate members of the Maps community. Their insights and valuable feedback will help us shape this feature so we can bring it to everyone over time.


Google Prepares for a Future Where Search Isn’t King — from wired.com by Lauren Goode
CEO Sundar Pichai tells WIRED that Google’s new, more powerful Gemini chatbot is an experiment in offering users a way to get things done without a search engine. It’s also a direct shot at ChatGPT.


 

 

The future of learning — from moodle.com by Sonya Trivedi

Self-directed and continuous learning
The concept of self-directed and continuous learning is becoming increasingly popular, reshaping our approach to knowledge and skill acquisition in both formal education and workplace settings. This evolving landscape reflects a world where traditional career paths are being replaced by more dynamic and flexible models, compelling learners to adapt and grow continuously.

The Future of Learning Report 2022 highlights this shift, noting the diminishing concept of a ‘career for life.’ With regular job switching and the expansion of the gig economy, there is an increasing need for a workforce equipped with a broad range of skills and the ability to gain qualifications throughout their careers. This shift is underlined by learners increasingly seeking control over their educational journeys, understanding that the ongoing acquisition of knowledge and skills is essential for staying relevant in the rapidly changing world of work. Reflecting this trend, a significant portion of learners, 33%, are choosing online platforms for their flexibility and ability to cater to individual needs and schedules.

From DSC:
The next paragraph after the above excerpt says:

Much like how companies such as Uber and Airbnb have reshaped their respective industries without owning traditional assets, the future of education might see universities functioning as the ‘Netflix of learning.’ In this model, learners comfortably source their educational experiences from various platforms, assembling their qualifications to create a personalised and continuously evolving portfolio of skills??.

But I don’t think it will be universities that function as the “Netflix of learning” as I don’t think the cultures of most institutions of traditional higher education can deal with that kind of innovation. I hope I’m wrong.

I think it will be a new, global, lifelong learning platform that originates outside of higher education. It will be bigger than higher education, K12, corporate training, or vocational training — as such a 21st-century, AI-based platform will offer all of the above and more.

Learning from the living AI-based class room


Slow Shift to Skills — from the-job.beehiiv.com by Paul Fain

Real progress in efforts to increase mobility for nondegree workers is unlikely during the next couple years, Joseph Fuller, a professor at Harvard University’s business school who co-leads its Managing the Future of Work initiative, recently told me.

Yet Fuller is bullish on skills-based hiring becoming a real thing in five to 10 years. That’s because he predicts that AI will create the data to solve the skills taxonomy problem Kolko describes. And if skills-based hiring allows for serious movement for workers without bachelor’s degrees, Fuller says the future will look like where Texas is headed.


Report: Microcredentials Not a Strategic Priority for Many Colleges — from insidehighered.com by Kathryn Palmer
A new report finds that while most colleges surveyed embrace alternative credentials, many have a decentralized approach for creating and managing them.

While the majority of colleges focused on online, professional and continuing education have embraced alternative credentials, a significant number of those institutions haven’t made them a strategic priority.

That’s one of the key takeaways from a new study released Monday by UPCEA, the organization previously known as the University Professional and Continuing Education Association. University Professional and Continuing Education Association.

“While a lot of institutions want this, they don’t necessarily all know how” to deliver alternative credentials, said Bruce Etter, UPCEA’s senior director of research and consulting. “Embracing it is great, but now it needs to be part of the strategic plan.”


The Higher Learning Commission’s Credential Lab — from hlcommission.org

HLC’s Credential Lab


10 higher ed trends to watch in 2024 — from insidetrack.org by

Trend 1.
Linking education to career paths

Trend 2.
Making sense of the AI explosion

Trend 3.
Prioritizing mental health on campus

…plus 7 other trends


North Carolina’s Community Colleges Make a Big Bid to Stay Relevant — from workshift.opencampusmedia.org by Margaret Moffett
The system is poised to ask state legislators to overhaul its funding formula to focus on how well colleges prepare students for high-demand, well-paying jobs.

The new formula would pay a premium to each college based on labor-market outcomes: the more students enrolled in courses in high-demand, high-paying workforce sectors, the more money the college receives.

Importantly, the proposed formula makes no distinction between curricular courses that count toward degree programs and noncredit continuing education classes, which historically offer fewer slots for students because of their lower FTE reimbursement rates.



Supporting Career and Technical Education — from bloomberg.org via Paul Fain

The American job market is changing. A high school diploma is no longer a ticket to a good job now, an increasing number of employers are offering “middle-skill jobs” that require more than a high school diploma but less than a bachelor’s degree. Industries like health care, IT, advanced manufacturing, and financial services continue to see sustained growth at all levels, and they need workers with the experience and the credentials to fill new positions. Bloomberg Philanthropies is investing in programs that help young people get the specialized training they need through internships, apprenticeships, academics, and work-based learning.

 

OpenAI’s app store for GPTs will launch next week — from techcrunch.com by Kyle Wiggers

OpenAI plans to launch a store for GPTs, custom apps based on its text-generating AI models (e.g. GPT-4), sometime in the coming week.

The GPT Store was announced last year during OpenAI’s first annual developer conference, DevDay, but delayed in December — almost certainly due to the leadership shakeup that occurred in November, just after the initial announcement.

 

Google hopes that this personalized AI -- called Notebook LM -- will help people with their note-taking, thinking, brainstorming, learning, and creating.

Google NotebookLM (experiment)

From DSC:
Google hopes that this personalized AI/app will help people with their note-taking, thinking, brainstorming, learning, and creating.

It reminds me of what Derek Bruff was just saying in regards to Top Hat’s Ace product being able to work with a much narrower set of information — i.e., a course — and to be almost like a personal learning assistant for the course you are taking. (As Derek mentions, this depends upon how extensively one uses the CMS/LMS in the first place.)

 
© 2024 | Daniel Christian