Artificial Intelligence/Agents/LLMs/and Related

You are not a parrot — from nymag.com by Elizabeth Weil and Emily M. Bender

Excerpts:

A handful of companies control what PricewaterhouseCoopers called a “$15.7 trillion game changer of an industry.” Those companies employ or finance the work of a huge chunk of the academics who understand how to make LLMs. This leaves few people with the expertise and authority to say, “Wait, why are these companies blurring the distinction between what is human and what’s a language model? Is this what we want?”
…
Bender knows she’s no match for a trillion-dollar game changer slouching to life. But she’s out there trying. Others are trying too. LLMs are tools made by specific people — people who stand to accumulate huge amounts of money and power, people enamored with the idea of the singularity. The project threatens to blow up what is human in a species sense. But it’s not about humility. It’s not about all of us. It’s not about becoming a humble creation among the world’s others. It’s about some of us — let’s be honest — becoming a superspecies. This is the darkness that awaits when we lose a firm boundary around the idea that humans, all of us, are equally worthy as is.

Introducing Q-Chat, the world’s first AI tutor built with OpenAI’s ChatGPT [Bayer]

On 03/06/2023, in 21st century, 24x7x365 access, Artificial Intelligence/Agents/LLMs/and Related, assessment, digital learning, education, education technology, emerging technologies, engagement / engaging students, experimentation, game-changing environment, homeschooling/homeschoolers, human-computer interaction (HCI), ideas, innovation, instructional design, intelligent systems, intelligent tutoring, interactivity, K-12 related, languages and translation, learner profiles, learning, learning agents, learning ecosystem, Learning Experience Design, Learning from the Living [Class] Room, learning preferences, more voice more choice more control, participation, personalized/customized learning, platforms, productivity / tips and tricks, story, storytelling, student-related, teachers, teaching & learning, tools, vendors, virtual tutoring, vision/possibilities, by Daniel Christian

Introducing Q-Chat, the world’s first AI tutor built with OpenAI’s ChatGPT — from quizlet.com by Lex Bayer

Excerpt:

Modeled on research demonstrating that the most effective form of learning is one-on-one tutoring1, Q-Chat offers students the experience of interacting with a personal AI tutor in an effective and conversational way. Whether they’re learning French vocabulary or Roman History, Q-Chat engages students with adaptive questions based on relevant study materials delivered through a fun chat experience. Pulling from Quizlet’s massive educational content library and using the question-based Socratic method to promote active learning, Q-Chat has the ability to test a student’s knowledge of educational content, ask in-depth questions to get at underlying concepts, test reading comprehension, help students learn a language and encourage students on healthy learning habits.

How ChatGPT is going to change the future of work and our approach to education — from livemint.com

From DSC:
I thought that the article made a good point when it asserted:

The pace of technological advancement is booming aggressively and conversations around ChatGPT snatching away jobs are becoming more and more frequent. The future of work is definitely going to change and that makes it clear that the approach toward education is also demanding a big shift.
…
A report from Dell suggests that 85% of jobs that will be around in 2030 do not exist yet. The fact becomes important as it showcases that the jobs are not going to vanish, they will just change and most of the jobs by 2030 will be new.

The Future of Human Agency — from pewresearch.org by Janna Anderson and Lee Rainie

Excerpt:

Thus the question: What is the future of human agency? Pew Research Center and Elon University’s Imagining the Internet Center asked experts to share their insights on this; 540 technology innovators, developers, business and policy leaders, researchers, academics and activists responded. Specifically, they were asked:

By 2035, will smart machines, bots and systems powered by artificial intelligence be designed to allow humans to easily be in control of most tech-aided decision-making that is relevant to their lives?

The results of this nonscientific canvassing:

- 56% of these experts agreed with the statement that by 2035 smart machines, bots and systems will not be designed to allow humans to easily be in control of most tech-aided decision-making.
- 44% said they agreed with the statement that by 2035 smart machines, bots and systems will be designed to allow humans to easily be in control of most tech-aided decision-making.

What are the things humans really want agency over? When will they be comfortable turning to AI to help them make decisions? And under what circumstances will they be willing to outsource decisions altogether to digital systems?

The next big threat to AI might already be lurking on the web — from zdnet.com by Danny Palmer; via Sam DeBrule
Artificial intelligence experts warn attacks against datasets used to train machine-learning tools are worryingly cheap and could have major consequences.

Excerpts:

Data poisoning occurs when attackers tamper with the training data used to create deep-learning models. This action means it’s possible to affect the decisions that the AI makes in a way that is hard to track.

By secretly altering the source information used to train machine-learning algorithms, data-poisoning attacks have the potential to be extremely powerful because the AI will be learning from incorrect data and could make ‘wrong’ decisions that have significant consequences.

Why AI Won’t Cause Unemployment — from pmarca.substack.com by Marc Andreessen

Excerpt:

Normally I would make the standard arguments against technologically-driven unemployment — see good summaries by Henry Hazlitt (chapter 7) and Frédéric Bastiat (his metaphor directly relevant to AI). And I will come back and make those arguments soon. But I don’t even think the standand arguments are needed, since another problem will block the progress of AI across most of the economy first.

Which is: AI is already illegal for most of the economy, and will be for virtually all of the economy.

How do I know that? Because technology is already illegal in most of the economy, and that is becoming steadily more true over time.

How do I know that? Because:

From DSC:
And for me, it boils down to an inconvenient truth: What’s the state of our hearts and minds?

AI, ChatGPT, Large Language Models (LLMs), and the like are tools. How we use such tools varies upon what’s going on in our hearts and minds. A fork can be used to eat food. It can also be used as a weapon. I don’t mean to be so blunt, but I can’t think of another way to say it right now.

Do we care about one another…really?
Has capitalism gone astray?
Have our hearts, our thinking, and/or our mindsets gone astray?
Do the products we create help or hurt others? It seems like too many times our perspective is, “We will sell whatever they will buy, regardless of its impact on others — as long as it makes us money and gives us the standard of living that we want.” Perhaps we could poll some former executives from Philip Morris on this topic.
Or we will develop this new technology because we can develop this new technology. Who gives a rat’s tail about the ramifications of it?

Meet CoCounsel — “the world’s first AI legal assistant” [casetext]

On 03/02/2023, in 21st century, 24x7x365 access, Access to Justice (A2J), Artificial Intelligence/Agents/LLMs/and Related, emerging technologies, Legal operations, legal reform, legal technologies, legislatures / government / legal, vendors, by Daniel Christian

Meet CoCounsel — “the world’s first AI legal assistant” — from casetext.com

Excerpt:

As we shared in our official press release, we’ve been collaborating with OpenAI to build CoCounsel on their latest, most advanced large language model. It was a natural fit between our two teams. OpenAI, the world leader in generative AI, selected Casetext to create a product powered by its technology that was suitable for professional use by lawyers. Our experience leading legal tech since 2013 and applying large language models to the law for over five years made us an ideal choice.

From DSC:
I look forward to seeing more vendors and products getting into the legaltech space — ones that use AI and other technologies to make significant progress on the access to justice issues that we have here in the United States.

Using AI to help students with advising, registration, and career development [Christian] + several other items related to AI

On 03/02/2023, in 21st century, 24x7x365 access, A/V -- audio/visual, Artificial Intelligence/Agents/LLMs/and Related, education technology, emerging technologies, entrepreneurship, experimentation, game-changing environment, generational differences, graphics, human-computer interaction (HCI), innovation, instructional design, IT in HE, languages and translation, Learning from the Living [Class] Room, learning spaces, machine-to-machine communications, Natural Language Processing (NLP), smart classrooms, TVs, vendors, vision/possibilities, voice recognition / voice enabled interfaces, by Daniel Christian

DC: Perhaps we’ll get to a point where AI can help here. (Perhaps we’re already there…?) https://t.co/kRguHmXw42

— Daniel Christian (he/him/his) (@dchristian5) March 1, 2023

Speaking of AI-related items, also see:

OpenAI just released both Whisper and ChatGPT as APIs!

Among the 3 infinity stones to make voice assistants great again, we’ve got 2 on the cloud now.https://t.co/boAP0yOK9p https://t.co/rkWGu5wGbP

— Jim Fan (@DrJimFan) March 1, 2023

OpenAI debuts Whisper API for speech-to-text transcription and translation — from techcrunch.com by Kyle Wiggers

Excerpt:

To coincide with the rollout of the ChatGPT API, OpenAI today launched the Whisper API, a hosted version of the open source Whisper speech-to-text model that the company released in September.

Priced at $0.006 per minute, Whisper is an automatic speech recognition system that OpenAI claims enables “robust” transcription in multiple languages as well as translation from those languages into English. It takes files in a variety of formats, including M4A, MP3, MP4, MPEG, MPGA, WAV and WEBM.

Introducing ChatGPT and Whisper APIs — from openai.com
Developers can now integrate ChatGPT and Whisper models into their apps and products through our API.

Excerpt:

ChatGPT and Whisper models are now available on our API, giving developers access to cutting-edge language (not just chat!) and speech-to-text capabilities.

Love this! Assigning collaborative annotation can help students engage with texts and the writing process and help prevent ChatGPT misuse. We can also invite students to critically annotate ChatGPT outputs. #ChatGPTedu #AItextedu #AIED #socialannotation https://t.co/wh2OkrAvL7

— Anna Mills, amills@mastodon.oeru.org, she/her (@EnglishOER) February 28, 2023

Everything you wanted to know about AI – but were afraid to ask — from theguardian.com by Dan Milmo and Alex Hern
From chatbots to deepfakes, here is the lowdown on the current state of artificial intelligence

Excerpt:

Barely a day goes by without some new story about AI, or artificial intelligence. The excitement about it is palpable – the possibilities, some say, are endless. Fears about it are spreading fast, too.

There can be much assumed knowledge and understanding about AI, which can be bewildering for people who have not followed every twist and turn of the debate.

So, the Guardian’s technology editors, Dan Milmo and Alex Hern, are going back to basics – answering the questions that millions of readers may have been too afraid to ask.

Nvidia CEO: “We’re going to accelerate AI by another million times” — from
In a recent earnings call, the boss of Nvidia Corporation, Jensen Huang, outlined his company’s achievements over the last 10 years and predicted what might be possible in the next decade.

Excerpt:

Fast forward to today, and CEO Jensen Huang is optimistic that the recent momentum in AI can be sustained into at least the next decade. During the company’s latest earnings call, he explained that Nvidia’s GPUs had boosted AI processing by a factor of one million in the last 10 years.

“Moore’s Law, in its best days, would have delivered 100x in a decade. By coming up with new processors, new systems, new interconnects, new frameworks and algorithms and working with data scientists, AI researchers on new models – across that entire span – we’ve made large language model processing a million times faster,” Huang said.

From DSC:
NVIDA is the inventor of the Graphics Processing Unit (GPU), which creates interactive graphics on laptops, workstations, mobile devices, notebooks, PCs, and more. They are a dominant supplier of artificial intelligence hardware and software.

“The 2022 ABA Legal Technology Survey Report” + other legal related items

On 03/02/2023, in Artificial Intelligence/Agents/LLMs/and Related, blogs / blogging / vlogging, innovation, law schools, Legal operations, legal technologies, legislatures / government / legal, productivity / tips and tricks, tools, by Daniel Christian

How Does Your Firm Stack Up When It Comes To Legal Tech? A Look Through the 2022 ABA Legal Technology Survey Report — from jdsupra.com

Excerpt:

The 2022 ABA Legal Technology Survey Report measures current legal technology trends. How does your firm compare to the rest?

Lawyers are rarely accused of rushing into change, but current legal technology trends show a few glimmers of hope that (slowly but surely) law firms are realizing the significance of incorporating technology into their litigation practice to remain relevant and competitive. The 2022 ABA Legal Technology Survey Report: Vol. 5 – Litigation Technology & E-Discovery reveals that law firms went through a belt-tightening phase in 2020 and 2021 but then made investments in 2022 to improve their litigation offerings.

ChatGPT Writes Our February 2023 FPI Newsletter Blog Post — from .law.upenn.edu by the Future of the Profession Initiative (FPI) at Penn Carey Law

Excerpt:

For our February 2023 FPI Newsletter, we used ChatGPT, the advanced chatbot, to help us write this blog post. Below, our prompts are in bold, with ChatGPT responses following.

Write the introduction to a newsletter focused on the legal implications of ChatGPT. Include implications for legal education, law firms, and clients.

Trends and Highlights from the 2023 Midsize Law Firm Priorities Report — from lawtechnologytoday.org Taylor Young

Excerpt:

Earlier this month, Actionstep released the results of the 2023 Midsize Law Firm Priorities Report, an inaugural survey of legal and administrative staff from midsize US law firms focused on identifying their key priorities, challenges, goals, and opportunities heading into 2023.

Trends and insights that rose to the top…

23 Legal Tech Insights for 2023 — New Report with Input from Industry Experts — from lawtechnologytoday.org Taylor Young

Excerpt:

If you are in legal tech, change is constant. This means staying on top of emerging trends (yes, even beyond the latest ChatGPT craze) is vital — not because you need to sign up for every new, shiny thing, but because you want to harness the advantages technology creates and prepare your organization for the future. That’s why tech-savvy practitioners will soon be heading to the ABA TECHSHOW.

As you head into conference-mode to dig into the latest in legal technology at TECHSHOW, our team thought this is the perfect time to share trends and industry insights to give you some food for thought and areas to investigate at the show.

Last year, we shared 10 legal tech trends driving success in the legal industry. Because what we shared was so well received, we’ve expanded the content with our latest report, 23 Legal Technology Insights for 2023, which includes thoughtful analysis of major trends, comments from industry experts, and tips to help you make the most of the tech in your organization. Here’s a snapshot of some of the key technology trends for 2023.

“Before ChatGPT and After GPT” [Makadia] + other AI and ChatGPT-related items

On 02/28/2023, in 21st century, 24x7x365 access, Artificial Intelligence/Agents/LLMs/and Related, emerging technologies, future, health, Natural Language Processing (NLP), tools, usability, user experience (UX), Virtual Reality (VR) / worlds / learning, vision/possibilities, voice recognition / voice enabled interfaces, XR - extended reality, by Daniel Christian

Before ChatGPT ??

Research:
Read articles from multiple sites.

Marketing:
Read articles from multiple sites.

Copywriting:
Read articles from multiple sites.

After ChatGPT ??

Do Anything:
Ask the right prompts [ The most valuable skill in 2023 ]

— Harsh Makadia (@MakadiaHarsh) February 23, 2023

9 ways ChatGPT will help CIOs — from enterprisersproject.com by Katie Sanders
What are the potential benefits of this popular tool? Experts share how it can help CIOs be more efficient and bring competitive differentiation to their organizations.

Excerpt:

Don’t assume this new technology will replace your job. As Mark Lambert, a senior consultant at netlogx, says, “CIOs shouldn’t view ChatGPT as a replacement for humans but as a new and exciting tool that their IT teams can utilize. From troubleshooting IT issues to creating content for the company’s knowledge base, artificial intelligence can help teams operate more efficiently and effectively.”

ChatGPT has limits.

But there are tools that doesn’t have.

Here’re 8 AI tools you should know about in 2023:

Via lhtesham Haider

— Steve Nouri (@SteveNouri) February 24, 2023

Would you let ChatGPT control your smart home? — from theverge.com by

While the promise of an inherently competent, eminently intuitive voice assistant — a flawless butler for your home — is very appealing, I fear the reality could be more Space Odyssey than Downton Abbey. But let’s see if I’m proven wrong.

How ChatGPT Is Being Used To Enhance VR Training — from vrscout.com by Kyle Melnick

Excerpt:

The company claims that its VR training program can be used to prepare users for a wide variety of challenging scenarios, whether you’re a recent college graduate preparing for a difficult job interview or a manager simulating a particularly tough performance review. Users can customize their experiences depending on their role and receive real-time feedback based on their interactions with the AI.

From DSC:
Below are some example topics/articles involving healthcare and AI.

Role of AI in Healthcare — from doctorsexplain.media
The role of Artificial Intelligence (AI) in healthcare is becoming increasingly important as technology advances. AI has the potential to revolutionize the healthcare industry, from diagnosis and treatment to patient care and management. AI can help healthcare providers make more accurate diagnoses, reduce costs, and improve patient outcomes.

60% of patients uncomfortable with AI in healthcare settings, survey finds — from healthcaredive.com by Hailey Mensik

Dive Brief:

About six in 10 U.S. adults said they would feel uncomfortable if their provider used artificial intelligence tools to diagnose them and recommend treatments in a care setting, according to a survey from the Pew Research Center.
Some 38% of respondents said using AI in healthcare settings would lead to better health outcomes while 33% said it would make them worse, and 27% said it wouldn’t make much of a difference, the survey found.
Ultimately, men, younger people and those with higher education levels were the most open to their providers using AI.

The Rise of the Superclinician – How Voice AI Can Improve the Employee Experience in Healthcare — from medcitynews.com by Tomer Garzberg
Voice AI is the new frontier in healthcare. With its constantly evolving landscape, the healthcare […]

Excerpt:

Voice AI can generate up to 30% higher clinician productivity, by automating these healthcare use cases

Updating records
Provider duress
Platform orchestration
Shift management
Client data handoff
Home healthcare
Maintenance
Equipment ordering
Meal preferences
Case data queries
Patient schedules
Symptom logging
Treatment room setup
Patient condition education
Patient support recommendations
Medication advice
Incident management
… and many more

ChatGPT is poised to upend medical information. For better and worse. — from usatoday.com by Karen Weintraub

Excerpt:

But – and it’s a big “but” – the information these digital assistants provide might be more inaccurate and misleading than basic internet searches.

“I see no potential for it in medicine,” said Emily Bender, a linguistics professor at the University of Washington. By their very design, these large-language technologies are inappropriate sources of medical information, she said.

Others argue that large language models could supplement, though not replace, primary care.

“A human in the loop is still very much needed,” said Katie Link, a machine learning engineer at Hugging Face, a company that develops collaborative machine learning tools.

Link, who specializes in health care and biomedicine, thinks chatbots will be useful in medicine someday, but it isn’t yet ready.

Planning for AGI and beyond — from OpenAI.org by Sam Altman

Excerpt:

There are several things we think are important to do now to prepare for AGI.

First, as we create successively more powerful systems, we want to deploy them and gain experience with operating them in the real world. We believe this is the best way to carefully steward AGI into existence—a gradual transition to a world with AGI is better than a sudden one. We expect powerful AI to make the rate of progress in the world much faster, and we think it’s better to adjust to this incrementally.

A gradual transition gives people, policymakers, and institutions time to understand what’s happening, personally experience the benefits and downsides of these systems, adapt our economy, and to put regulation in place. It also allows for society and AI to co-evolve, and for people collectively to figure out what they want while the stakes are relatively low.

*AGI stands for Artificial General Intelligence

It’s Not Just Our Students — ChatGPT Is Coming for Faculty Writing [Chrisinger]

On 02/27/2023, in 21st century, 24x7x365 access, adjunct faculty, Artificial Intelligence/Agents/LLMs/and Related, colleges, community colleges, education technology, faculty/staff, future, future of higher education, game-changing environment, higher education, research, tools, United States, universities, vendors, by Daniel Christian

It’s Not Just Our Students — ChatGPT Is Coming for Faculty Writing — from chronicle.com by Ben Chrisinger (behind a paywall)
And there’s little agreement on the rules that should govern it.

Excerpt:

While we’ve been busy worrying about what ChatGPT could mean for students, we haven’t devoted nearly as much attention to what it could mean for academics themselves. And it could mean a lot. Critically, academics disagree on exactly how AI can and should be used. And with the rapidly improving technology at our doorstep, we have little time to deliberate.

Already some researchers are using the technology. Among only the small sample of my work colleagues, I’ve learned that it is being used for such daily tasks as: translating code from one programming language to another, potentially saving hours spent searching web forums for a solution; generating plain-language summaries of published research, or identifying key arguments on a particular topic; and creating bullet points to pull into a presentation or lecture.

Some Ideas for Using ChatGPT in Middle and High School Classes

On 02/24/2023, in Artificial Intelligence/Agents/LLMs/and Related, education technology, innovation, instructional design, K-12 related, Learning Experience Design, pedagogy, teachers, teaching & learning, tools, writing, by Daniel Christian

Some Ideas for Using ChatGPT in Middle and High School Classes — from edutopia.org by Geoff Richman
Teachers can use tools like ChatGPT as one strategy in their efforts to teach students how to think critically and write effectively.

Excerpts:

There can be an upside, however. In a social studies classroom, students might craft a prompt about a topic they’ve been considering and then examine the machine’s response in forensic detail. This may involve a sentence-by-sentence dissection of what the AI has written. By unearthing possible inconsistencies or straight-up inaccuracies, students reinforce their correct understanding of the topic.
…
For a playful exercise, share two or three pieces of human writing from the past year or two and slip in an example from ChatGPT, and have students discuss what makes these examples human—or decidedly not. Nuance, passion, and, perhaps, even fallibility will be clues that students can investigate.

What ChatGPT And Generative AI Mean For Your Business? [Press]

On 02/24/2023, in Artificial Intelligence/Agents/LLMs/and Related, business, copyright/ownership/NFTs, corporate / business world, emerging technologies, innovation, legislatures / government / legal, workplace, by Daniel Christian

What ChatGPT And Generative AI Mean For Your Business? — from forbes.com by Gil Press [behind a paywall]

Excerpt:

Challenges abound with deploying AI in general but when it comes to generative AI, businesses face a “labyrinth of problems,” according to Forrester: Generating coherent nonsense; recreating biases; vulnerability to new security challenges and attacks; trust, reliability, copyright and intellectual property issues. “Any fair discussion of the value of adopting generative AI,” says Forrester, “must acknowledge its considerable costs. Training and re-training models takes time and money, and the GPUs required to run these workloads remain expensive.”

As is always the case with the latest and greatest enterprise technologies, tools and techniques, the answer to “what’s to be done?” boils down to one word: Learn. Study what your peers have been doing in recent years with generic AI. A good starting point is the just-published All-in On AI: How Smart Companies Win Big with Artificial Intelligence.

Also relevant/see:

Generative AI is here, along with critical legal implications — from venturebeat.com by Nathaniel Bach, Eric Bergner, and Andrea Del-Carmen Gonzalez

Excerpt:

With that promise comes a number of legal implications. For example, what rights and permissions are implicated when a GAI user creates an expressive work based on inputs involving a celebrity’s name, a brand, artwork, and potentially obscene, defamatory or harassing material? What might the creator do with such a work, and how might such use impact the creator’s own legal rights and the rights of others?

This article considers questions like these and the existing legal frameworks relevant to GAI stakeholders.

AI starter tools for video content creation — from techthatmatters.beehiiv.com by Harsh Makadia

Excerpt:

One of the most exciting applications of AI is in the realm of content creation. What if I told you there are tools to generate videos in mins?

Try these tools today:

Supercreator AI: Create short form videos 10x faster
Lumen5: Automatically turn blog posts into videos
InVideo: Idea to YouTube video
Synthesia: Create videos from plain text in minutes
Narakeet: Get a professionally sounding audio or video in minutes
Movio: Create engaging video content

Podcast Special: Using Generative AI in Education — from drphilippahardman.substack.com by Dr. Philippa Hardman
An exploration of the risks and benefits of Generative AI in education, in conversation with Mike Palmer

Excerpt:

Among other things, we discussed:

The immediate challenges that Generative AI presents for learning designers, educators and students.
The benefits & opportunities that Generative AI might offer the world of education, both in terms of productivity and pedagogy.
How bringing together the world of AI and the world of learning science, we might revolutionise the way we design and deliver learning experiences.

Speaking of podcasts, this article lists some podcasts to check out for those working in — or interested in — higher education.

Also relevant/see:

Teachers: Treat ChatGPT as Your Assistant, Not Your Enemy — from by Maria Andersen

Also relevant/see:

Are librarians the next prompt engineers? — from linkedin.com by Laura Solomon

Excerpt:

Without the right prompt, AI fails to provide what someone might be looking for. This probably is a surprise to no one, especially librarians. If you remember the days before Google, you know exactly how this tended to play out. Google became dominant in large part to its inherent ability to accept natural language queries.
A small industry is now popping up to provide people with the correct, detailed prompts to get what they want when interacting with AI. The people doing this work are referred to as “prompt engineers.”
Prompt engineers aren’t just people who write queries to be directed to an AI. They also have tend to have a great deal of technical expertise and a deep understanding of how artificial intelligences and natural language can intersect.
Prompt engineers don’t work for free.

The above item links to The Most Important Job Skill of This Century — from theatlantic.com by Charlie Warzel
Your work future could depend on how well you can talk to AI.

Also relevant/see:

My class required AI. Here’s what I’ve learned so far. — from oneusefulthing.substack.com by Ethan Mollick
(Spoiler alert: it has been very successful, but there are some lessons to be learned)

Excerpt:

I fully embraced AI for my classes this semester, requiring students to use AI tools in a number of ways. This policy attracted a lot of interest, and I thought it worthwhile to reflect on how it is going so far. The short answer is: great! But I have learned some early lessons that I think are worth passing on.

AI is everywhere already
Even if I didn’t embrace AI, it is also clear that AI is now everywhere in classes. For example, students used it to help them come up with ideas for class projects, even before I even taught them how to do that. As a result, the projects this semester are much better than previous pre-AI classes. This has led to greater project success rates and more engaged teams. On the downside, I find students also raise their hands to ask questions less. I suspect this might be because, as one of them told me, they can later ask ChatGPT to explain things they didn’t get without needing to speak in front of the class. The world of teaching is now more complicated in ways that are exciting, as well as a bit unnerving.

Several months’ worth of labor market updates from Handshake’s blog

On 02/20/2023, in Artificial Intelligence/Agents/LLMs/and Related, business, career development, change, computer science, corporate / business world, marketing/social marketing, MBA, skills, society, technology (general), United States, workplace, by Daniel Christian

From DSC:
Below are several months’ worth of labor market updates from Handshake’s blog — with thanks to Paul Fain for this resource.

February 2023 Early Talent Labor Market Update — from joinhandshake.com/blog/
Demand for tech talent outside of coastal states

Key takeaways

Tech hubs no longer? Traditional tech hubs like California and New York are seeing fewer entry-level job openings for technical talent and less interest from students.
A rising tech diaspora: States in other parts of the country, like Iowa (+10.9%) and Maryland (+5.1%), are emerging as locations with more job postings for technical roles—at the same time, students have demonstrated interest in applying to opportunities in those states.
New hubs for tech talent: Students are demonstrating greater openness to a wider array of geographic locations for tech roles with large increases in applications per job in states like Oklahoma (4.8x), Arizona (2.3x), and Oregon (2.7x).

January 2023 Early Talent Labor Market Updates — from joinhandshake.com/blog/
Employers still have strong demand for entry-level technical talent.

Key takeaways
2022 was a difficult year for workers in tech, as the industry was hit hard by hiring freezes and layoffs. Despite an overall slowdown in tech sector hiring, there are several bright spots in the technical labor market that should give early talent reason for optimism.

Tech industry is still investing in (tech) talent
Software and computer tech jobs outside of tech industry
Tech, but not in software

December 2022 Early Talent Labor Market Updates — from joinhandshake.com/blog/
Part-time jobs falling year over year with retail leading the way

Key takeaways

Demand for early talent to fill part-time roles has dropped compared to earlier this year, and part-time jobs saw the largest year-over-year decrease (-32%) in job postings on the platform, when compared to full-time and internships.
Notably employers who are still creating new jobs have been hiring more for full-time roles and internships with job postings per employer up 1% and 7% respectively.
The retail industry, which relies on part-time workers through the holiday season, has seen the greatest year-over-year decrease in part-time job postings that were listed between October and November with a drop of 51%

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