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.

Meet CoCounsel -- the world's first AI legal assistant -- from casetext

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.

 


Speaking of AI-related items, also see:

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.



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.


 

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.

 


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.”



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 — 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 — 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? — 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
 

AI hallucinations, jackpot moments, and other key insights from the GenAI conference — from linkedin.com by Tom Emrich, Director of Product @ Niantic – WebAR, Augmented Reality, Mixed Reality & Metaverse

Excerpts:

  1. AI is a powerful horizontal technology that will “rewrite civilization”
  2. Innovating the user interface is just as important as evolving the model
  3. Today’s AI hallucinates which makes it hard to trust, but it wants to be better
  4. AI’s unreliability creates jackpot moments that make humans feel like badasses
  5. Leaning into what makes us human is the key to thrive in the age of AI
 

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:

 


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.

 

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

  1. 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.
  2. 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.
  3. 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%
 

ChatGPT for Spanish Classrooms — from rdene915.com by Nicole Biscotti, M. Ed.

Excerpt:

ChatGPT is just what the busy Spanish teacher necesita – no wasted time searching for the perfect “lectura” (text). Effective language instruction is coupled with learning about culture and now I’m able to generate texts in seconds AND I can even center them around a Latin American country, cultural point of interest, holiday, grammatical structure, etc.  Differentiation and personalized learning, those lofty teaching ideals that can feel a bit heavy when you mean well but have 35 kids in your room, have become that much easier to attain with ChatGPT.  It’s possible to generate texts about diverse aspects of culture in seconds and make adjustments for interests, length, rigor, etc. (Kuo & Lai, 2006) (Salaberry, 1999; Rost, 2002).

CURATING YOUR CLASSROOM WITH 9 MUST-HAVE TOOLS FOR RESOURCE COLLECTION – EASY EDTECH PODCAST 202 — from classtechtips.com by Monica Burns

Description:

How do you share resources with students? In this episode, we’ll focus on what happens after you find the very best resources to share with students. You’ll also hear about nine digital tools to help educators build a resource collection for students. So whether you have ten great resources on endangered species to share with your fourth graders or a dozen tutorial videos to share with your eleventh graders, this episode is for you!

50+ Useful AI Writing Tools to Know (2023) — from hongkiat.com

Excerpt:

AI writing tools generate content based on the keywords or prompt provided by users. You can then improve upon the output and make it suitable according to your own requirements.

There are different types of AI writing tools and in this post we are featuring some of the best ones. From content generators and editors to translators and typing assistants, there’s a whole gamut of AI-powered writing tools in the list. Take a look and see if one (or more) catches your interest.

How to Use Minecraft as a Teaching Tool — from intelligenthq.com

Excerpt:

Kids today have grown up with Minecraft, so it’s easy to get them enthusiastic about lessons using it. They can build anything they like, and use Minecraft skins to make the characters they create uniquely their own, getting them especially enthusiastic and involved in their lessons.

Teachers who learn how to use Minecraft as a teaching tool have found that it noticeably improves problem solving, creativity, and the ability to work together. It teaches both 21st century skills and timeless lessons.


On a somewhat related note, also see:


 
 

ChatGPT: 30 incredible ways to use the AI-powered chatbot — from interestingengineering.com by Christopher McFadden
You’ve heard of ChatGPT, but do you know how to use it? Or what to use it for? If not, then here are some ideas to get you started.

Excerpts:

  • It’s great at writing CVs and resumes
  • It can also read and improve the existing CV or resume
  • It can help you prepare for a job interview
  • ChatGPT can even do some translation work for you
  • Have it draft you an exam

Chatbots’ Time Has Come. Why Now? — from every.to by Nathan Baschez
Narratives have network effects

Excerpt:

There are obvious questions like “Are the AI’s algorithms good enough?” (probably not yet) and “What will happen to Google?” (nobody knows), but I’d like to take a step back and ask some more fundamental questions: why chat? And why now?

Most people don’t realize that the AI model powering ChatGPT is not all that new. It’s a tweaked version of a foundation model, GPT-3, that launched in June 2020. Many people have built chatbots using it before now. OpenAI even has a guide in its documentation showing exactly how you can use its APIs to make one.

So what happened? The simple narrative is that AI got exponentially more powerful recently, so now a lot of people want to use it. That’s true if you zoom out. But if you zoom in, you start to see that something much more complex and interesting is happening.

This leads me to a surprising hypothesis: perhaps the ChatGPT moment never would have happened without DALL-E 2 and Stable Diffusion happening earlier in the year!


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.

Excerpt:

Like writing and coding before it, prompt engineering is an emergent form of thinking. It lies somewhere between conversation and query, between programming and prose. It is the one part of this fast-changing, uncertain future that feels distinctly human.


The ChatGPT AI hype cycle is peaking, but even tech skeptics don’t expect a bust — from cnbc.com by Eric Rosenbaum

Key Points:

  • OpenAI’s ChatGPT, with new funding from Microsoft, has grown to over one million users faster than many of dominant tech companies, apps and platforms of the past decade.
  • Unlike the metaverse concept, which had a hype cycle based on an idea still nebulous to many, generative AI as tech’s next big thing is being built on top of decades of existing machine learning already embedded in business processes.
  • We asked top technology officers, specifically reaching out to many at non-tech sector companies, to break down the potential and pitfalls of AI adoption.

ChatGPT and the college curriculum — out at youtube.com by Bryan Alexander with Maria Anderson


AI in EDU: Know the Risks– from linkedin.com by Angela Maiers

AI in EDU -- Know the Risks

 


 
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