Natural Language Processing (NLP)

Reflections on “What to Know About Buying A Projector for School” [Edwards]

On 07/16/2024, in A/V -- audio/visual, Artificial Intelligence/Agents/LLMs/and Related, colleges, community colleges, Daniel S. Christian, education, education technology, face-to-face, future, higher education, human-computer interaction (HCI), intelligent systems, interaction design, interactivity, internet, IT in HE, K-12 related, learning ecosystem, learning hubs & pods & microschooling, learning spaces, liberal arts, multimedia, Natural Language Processing (NLP), online media, platforms, presentations, productivity / tips and tricks, teachers, teaching & learning, technology (general), tools, United States, universities, usability, user experience (UX), vendors, voice recognition / voice enabled interfaces, by Daniel Christian

What to Know About Buying A Projector for School — from by Luke Edwards
Buy the right projector for school with these helpful tips and guidance.

Picking the right projector for school can be a tough decision as the types and prices range pretty widely. From affordable options to professional grade pricing, there are many choices. The problem is that the performance is also hugely varied. This guide aims to be the solution by offering all you need to know about buying the right projector for school where you are.

Luke covers a variety of topics including:

Types of projectors
Screen quality
Light type
Connectivity
Pricing

From DSC:
I posted this because Luke covered a variety of topics — and if you’re set on going with a projector, this is a solid article. But I hesitated to post this, as I’m not sure of the place that projectors will have in the future of our learning spaces. With voice-enabled apps and appliances continuing to be more prevalent — along with the presence of AI-based human-computer interactions and intelligent systems — will projectors be the way to go? Will enhanced interactive whiteboards be the way to go? Will there be new types of displays? I’m not sure. Time will tell.

Infinite seamless mega meme mashup ?

Keyframes were used to seamlessly transition between 20 memes w/ audio ?@LumaLabsAI Audio on ? pic.twitter.com/9jzbMDUDp2

— Blaine Brown ? (@blizaine) June 29, 2024

Bill Gates Reveals Superhuman AI Prediction — from youtube.com by Rufus Griscom, Bill Gates, Andy Sack, and Adam Brotman

This episode of the Next Big Idea podcast, host Rufus Griscom and Bill Gates are joined by Andy Sack and Adam Brotman, co-authors of an exciting new book called “AI First.” Together, they consider AI’s impact on healthcare, education, productivity, and business. They dig into the technology’s risks. And they explore its potential to cure diseases, enhance creativity, and usher in a world of abundance.

Key moments:

00:05 Bill Gates discusses AI’s transformative potential in revolutionizing technology.
02:21 Superintelligence is inevitable and marks a significant advancement in AI technology.
09:23 Future AI may integrate deeply as cognitive assistants in personal and professional life.
14:04 AI’s metacognitive advancements could revolutionize problem-solving capabilities.
21:13 AI’s next frontier lies in developing human-like metacognition for sophisticated problem-solving.
27:59 AI advancements empower both good and malicious intents, posing new security challenges.
28:57 Rapid AI development raises questions about controlling its global application.
33:31 Productivity enhancements from AI can significantly improve efficiency across industries.
35:49 AI’s future applications in consumer and industrial sectors are subjects of ongoing experimentation.
46:10 AI democratization could level the economic playing field, enhancing service quality and reducing costs.
51:46 AI plays a role in mitigating misinformation and bridging societal divides through enhanced understanding.

OpenAI Introduces CriticGPT: A New Artificial Intelligence AI Model based on GPT-4 to Catch Errors in ChatGPT’s Code Output — from marktechpost.com

The team has summarized their primary contributions as follows.

The team has offered the first instance of a simple, scalable oversight technique that greatly assists humans in more thoroughly detecting problems in real-world RLHF data.

Within the ChatGPT and CriticGPT training pools, the team has discovered that critiques produced by CriticGPT catch more inserted bugs and are preferred above those written by human contractors.

Compared to human contractors working alone, this research indicates that teams consisting of critic models and human contractors generate more thorough criticisms. When compared to reviews generated exclusively by models, this partnership lowers the incidence of hallucinations.

This study provides Force Sampling Beam Search (FSBS), an inference-time sampling and scoring technique. This strategy well balances the trade-off between minimizing bogus concerns and discovering genuine faults in LLM-generated critiques.

Character.AI now allows users to talk with AI avatars over calls — from techcrunch.com by Ivan Mehta

a16z-backed Character.AI said today that it is now allowing users to talk to AI characters over calls. The feature currently supports multiple languages, including English, Spanish, Portuguese, Russian, Korean, Japanese and Chinese.

The startup tested the calling feature ahead of today’s public launch. During that time, it said that more than 3 million users had made over 20 million calls. The company also noted that calls with AI characters can be useful for practicing language skills, giving mock interviews, or adding them to the gameplay of role-playing games.

Google Translate Just Added 110 More Languages — from lifehacker.com by
You can now use the app to communicate in languages you’ve never even heard of.

Google Translate can come in handy when you’re traveling or communicating with someone who speaks another language, and thanks to a new update, you can now connect with some 614 million more people. Google is adding 110 new languages to its Translate tool using its AI PaLM 2 large language model (LLM), which brings the total of supported languages to nearly 250. This follows the 24 languages added in 2022, including Indigenous languages of the Americas as well as those spoken across Africa and central Asia.

Gen-3 Alpha Text to Video is now available to everyone.

A new frontier for high-fidelity, fast and controllable video generation.

Try it now at https://t.co/ekldoIshdw pic.twitter.com/miNbHdK5hX

— Runway (@runwayml) July 1, 2024

Gen-3 Alpha from Runway is now available to everyone, and it’s incredible.

This is going to change the way ads and B-roll are created.

13 mind-blowing examples:

— Nathan Lands — Lore.com (@NathanLands) July 3, 2024

Listen to your favorite books and articles voiced by Judy Garland, James Dean, Burt Reynolds and Sir Laurence Olivier — from elevenlabs.io
ElevenLabs partners with estates of iconic stars to bring their voices to the Reader App

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

On 06/13/2024, in 21st century, 24x7x365 access, Access to Justice (A2J), adjunct faculty, Adobe, adult learning, Artificial Intelligence/Agents/LLMs/and Related, bots, business side of he, change, cloud-based computing / apps / other cloud-related, colleges, community colleges, content development, aggregation, repositories, corporate / business world, corporate universities / corporate training, cost of getting a degree, creativity, culture, dangers of the status quo, Daniel S. Christian, data related items, design, digital audio, digital learning, digital photography, digital storytelling, digital video, education technology, emerging technologies, experimentation, faculty/staff, future of higher education, game-changing environment, heutagogy, higher education, homeschooling/homeschoolers, human-computer interaction (HCI), ideas, innovation, instructional design, intelligent systems, intelligent tutoring, K-12 related, learning, learning agents, learning ecosystem, Learning Experience Design, Learning from the Living [Class] Room, liberal arts, library / librarians, lifelong learning, media/film, microlearning, more voice more choice more control, multimedia, Natural Language Processing (NLP), new business models, NVIDIA, online media, online tutoring, Open AI, pace of change, personalized/customized learning, platforms, productivity / tips and tricks, professional development, reinvent, skills, society, staying relevant, streams of content, student-related, surviving, teachers, technologies for your home, technology (general), the downsides of how people use tech, tools, training / L&D, TVs, United States, universities, user experience (UX), user interface design, vendors, vision/possibilities, web-based collaboration, workplace, by Daniel Christian

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

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

Plus several more slides re: this vision.

23 videos re: GPT-4o [OpenAI]

On 05/22/2024, in Artificial Intelligence/Agents/LLMs/and Related, bots, cloud-based computing / apps / other cloud-related, corporate / business world, digital audio, digital video, emerging technologies, experimentation, multimedia, Natural Language Processing (NLP), Open AI, tools, United States, user experience (UX), vendors, vision/possibilities, voice recognition / voice enabled interfaces, by Daniel Christian

Per OpenAI:
“Say hello to GPT-4o, our new flagship model which can reason across audio, vision, and text in real time.”

A major step towards much more natural human-computer interaction: OpenAI introduces GPT-4o

On 05/14/2024, in 24x7x365 access, A/V -- audio/visual, Artificial Intelligence/Agents/LLMs/and Related, assistive technologies, bots, digital audio, digital learning, digital video, education, education technology, emerging technologies, Emotion, higher education, homeschooling/homeschoolers, human-computer interaction (HCI), ideas, informal learning, innovation, instructional design, intelligent systems, intelligent tutoring, interaction design, interactivity, IT in HE, K-12 related, languages and translation, law schools, learner profiles, learning, learning agents, learning ecosystem, Learning from the Living [Class] Room, learning preferences, liberal arts, lifelong learning, mathematics, multimedia, Natural Language Processing (NLP), online tutoring, Open AI, personalized/customized learning, platforms, productivity / tips and tricks, smart classrooms, student-related, technologies for your home, television, tools, TVs, United States, universities, usability, user experience (UX), user interface design, vendors, vision/possibilities, voice recognition / voice enabled interfaces, by Daniel Christian

Hello GPT-4o — from openai.com
We’re announcing GPT-4o, our new flagship model that can reason across audio, vision, and text in real time.

GPT-4o (“o” for “omni”) is a step towards much more natural human-computer interaction—it accepts as input any combination of text, audio, image, and video and generates any combination of text, audio, and image outputs. It can respond to audio inputs in as little as 232 milliseconds, with an average of 320 milliseconds, which is similar to human response time in a conversation. It matches GPT-4 Turbo performance on text in English and code, with significant improvement on text in non-English languages, while also being much faster and 50% cheaper in the API. GPT-4o is especially better at vision and audio understanding compared to existing models.

Example topics covered here:

Two GPT-4os interacting and singing
Languages/translation
Personalized math tutor
Meeting AI
Harmonizing and creating music
Providing inflection, emotions, and a human-like voice
Understanding what the camera is looking at and integrating it into the AI’s responses
Providing customer service

With GPT-4o, we trained a single new model end-to-end across text, vision, and audio, meaning that all inputs and outputs are processed by the same neural network. Because GPT-4o is our first model combining all of these modalities, we are still just scratching the surface of exploring what the model can do and its limitations.

This demo is insane.

A student shares their iPad screen with the new ChatGPT + GPT-4o, and the AI speaks with them and helps them learn in *realtime*.

Imagine giving this to every student in the world.

The future is so, so bright. pic.twitter.com/t14M4fDjwV

— Mckay Wrigley (@mckaywrigley) May 13, 2024

From DSC:
I like the assistive tech angle here:

GPT-4o as tested by @BeMyEyes: pic.twitter.com/WeAoVmxUFH

— Greg Brockman (@gdb) May 14, 2024

It’s been less than 24 hours since the OpenAI changed the world with GPT-4o announcement.

And the Internet is a flooded with demo videos.

Here’re the 10 most jaw-dropping examples so far (Don’t miss the 6th one) pic.twitter.com/sLx1D1YSqb

— Poonam Soni (@CodeByPoonam) May 14, 2024

Reid Hoffman meets his AI twin

On 04/30/2024, in Artificial Intelligence/Agents/LLMs/and Related, bots, communications, content development, aggregation, repositories, digital audio, digital video, education, education technology, educational games / serious games, emerging technologies, Emotion, engagement / engaging students, experimentation, future, game-changing environment, higher education, history, human-computer interaction (HCI), ideas, innovation, instructional design, intelligent systems, intelligent tutoring, interactivity, K-12 related, learning ecosystem, Learning Experience Design, Learning from the Living [Class] Room, liberal arts, lifelong learning, Microsoft, multimedia, Natural Language Processing (NLP), platforms, play, United States, universities, user experience (UX), vision/possibilities, youth, by Daniel Christian

Description:

I recently created an AI version of myself—REID AI—and recorded a Q&A to see how this digital twin might challenge me in new ways. The video avatar is generated by Hour One, its voice was created by Eleven Labs, and its persona—the way that REID AI formulates responses—is generated from a custom chatbot built on GPT-4 that was trained on my books, speeches, podcasts and other content that I’ve produced over the last few decades. I decided to interview it to test its capability and how closely its responses match—and test—my thinking. Then, REID AI asked me some questions on AI and technology. I thought I would hate this, but I’ve actually ended up finding the whole experience interesting and thought-provoking.

From DSC:
This ability to ask questions of a digital twin is very interesting when you think about it in terms of “interviewing” a historical figure. I believe character.ai provides this kind of thing, but I haven’t used it much.

AI Resources and Teaching [Kent State U] + other items re: AI in our learning ecosystems

On 04/16/2024, in adjunct faculty, art, Artificial Intelligence/Agents/LLMs/and Related, bots, colleges, communities of practice, community colleges, computer science, content development, aggregation, repositories, design, digital audio, digital learning, digital storytelling, digital video, education technology, emerging technologies, engagement / engaging students, experimentation, faculty/staff, future, future of higher education, game-changing environment, Google, higher education, human-computer interaction (HCI), IBM, ideas, innovation, instructional design, intelligent systems, intelligent tutoring, IT in HE, learning agents, learning ecosystem, Learning Experience Design, Learning from the Living [Class] Room, liberal arts, media/film, Microsoft, multimedia, music, Natural Language Processing (NLP), new media literacies, online media, online tutoring, Open AI, open courseware and systems, pedagogy, platforms, productivity / tips and tricks, teaching & learning, tools, United States, universities, vendors, by Daniel Christian

AI RESOURCES AND TEACHING (Kent State University) — from aiadvisoryboards.wordpress.com

AI Resources and Teaching | Kent State University offers valuable resources for educators interested in incorporating artificial intelligence (AI) into their teaching practices. The university recognizes that the rapid emergence of AI tools presents both challenges and opportunities in higher education.

The AI Resources and Teaching page provides educators with information and guidance on various AI tools and their responsible use within and beyond the classroom. The page covers different areas of AI application, including language generation, visuals, videos, music, information extraction, quantitative analysis, and AI syllabus language examples.

A Cautionary AI Tale: Why IBM’s Dazzling Watson Supercomputer Made a Lousy Tutor — from the74million.org by Greg Toppo
With a new race underway to create the next teaching chatbot, IBM’s abandoned 5-year, $100M ed push offers lessons about AI’s promise and its limits.

For all its jaw-dropping power, Watson the computer overlord was a weak teacher. It couldn’t engage or motivate kids, inspire them to reach new heights or even keep them focused on the material — all qualities of the best mentors.

It’s a finding with some resonance to our current moment of AI-inspired doomscrolling about the future of humanity in a world of ascendant machines. “There are some things AI is actually very good for,” Nitta said, “but it’s not great as a replacement for humans.”

His five-year journey to essentially a dead-end could also prove instructive as ChatGPT and other programs like it fuel a renewed, multimillion-dollar experiment to, in essence, prove him wrong.
…

To be sure, AI can do sophisticated things such as generating quizzes from a class reading and editing student writing. But the idea that a machine or a chatbot can actually teach as a human can, he said, represents “a profound misunderstanding of what AI is actually capable of.”

Nitta, who still holds deep respect for the Watson lab, admits, “We missed something important. At the heart of education, at the heart of any learning, is engagement. And that’s kind of the Holy Grail.”

From DSC:
This is why the vision that I’ve been tracking and working on has always said that HUMAN BEINGS will be necessary — they are key to realizing this vision. Along these lines, here’s a relevant quote:

Another crucial component of a new learning theory for the age of AI would be the cultivation of “blended intelligence.” This concept recognizes that the future of learning and work will involve the seamless integration of human and machine capabilities, and that learners must develop the skills and strategies needed to effectively collaborate with AI systems. Rather than viewing AI as a threat to human intelligence, a blended intelligence approach seeks to harness the complementary strengths of humans and machines, creating a symbiotic relationship that enhances the potential of both.

Per Alexander “Sasha” Sidorkin, Head of the National Institute on AI in Society at California State University Sacramento.

Some huge announcements from NVIDIA that will likely impact our futures

On 03/19/2024, in 21st century, 24x7x365 access, 3D, Artificial Intelligence/Agents/LLMs/and Related, Asia, bots, content development, aggregation, repositories, corporate / business world, creativity, digital audio, digital video, education technology, emerging technologies, entrepreneurship, experimentation, future, game-changing environment, generational differences, human-computer interaction (HCI), innovation, intelligent systems, internet, IT in HE, learning ecosystem, multimedia, Natural Language Processing (NLP), Near Field Communication (NFC), new business models, new media literacies, NVIDIA, online media, physics, research, robotics, science, skills, society, STEAM-related, technology (general), tools, United States, vendors, Virtual Reality (VR) / worlds / learning, vision/possibilities, voice recognition / voice enabled interfaces, wearables, by Daniel Christian

GTC March 2024 Keynote with NVIDIA CEO Jensen Huang

Also relevant/see:

NVIDIA Launches Blackwell-Powered DGX SuperPOD for Generative AI Supercomputing at Trillion-Parameter Scale
Scales to Tens of Thousands of Grace Blackwell Superchips Using Most Advanced NVIDIA Networking, NVIDIA Full-Stack AI Software, and Storage Features up to 576 Blackwell GPUs Connected as One With NVIDIA NVLink NVIDIA System Experts Speed Deployment for Immediate AI Infrastructure

NVIDIA Unveils Digital Blueprint for Building Next-Gen Data Centers
Omniverse digital twin supported by Ansys, Cadence, PATCH MANAGER, Schneider Electric, Vertiv and more, setting foundation for highly efficient AI infrastructure.
NVIDIA Digital Human Technologies Bring AI Characters to Life
Leading AI Developers Use Suite of NVIDIA Technologies to Create Lifelike Avatars and Dynamic Characters for Everything From Games to Healthcare, Financial Services and Retail Applications
NVIDIA Announces Omniverse Cloud APIs to Power Wave of Industrial Digital Twin Software Tools
Ansys, Cadence, Hexagon, Microsoft, Rockwell Automation, Siemens, Trimble Adopt Omniverse Technologies to Help Customers Design, Simulate, Build and Operate Physically Based Digital Twins
Climate Pioneers: 3 Startups Harnessing NVIDIA’s AI and Earth-2 Platforms
NVIDIA Inception members Tomorrow.io, ClimaSens and north.io specialize in extreme weather prediction, advance climate action across the globe.

Today is the beginning of our moonshot to solve embodied AGI in the physical world. I’m so excited to announce Project GR00T, our new initiative to create a general-purpose foundation model for humanoid robot learning.

The GR00T model will enable a robot to understand multimodal… pic.twitter.com/EqN19Z3cXH

— Jim Fan (@DrJimFan) March 18, 2024

NVIDIA just announced GR00T.

It will enable a robot to understand multimodal instructions like language, video, and motion.

Very soon we will see them cooking, preparing coffee, in supermarkets, changing tires, etc.pic.twitter.com/3PptgNS1Yi

— Barsee ? (@heyBarsee) March 19, 2024

Robotics and AI moves forward, majorly. European Lawmakers Pass AI Act + other AI-related items

On 03/16/2024, in Africa, Artificial Intelligence/Agents/LLMs/and Related, Asia, Australia, biology, bots, Canada, corporate / business world, emerging technologies, Europe, future, game-changing environment, global / globalization, Google, health, human-computer interaction (HCI), India, innovation, intelligent systems, learning ecosystem, legislatures / government / legal, Natural Language Processing (NLP), NVIDIA, Open AI, open courseware and systems, platforms, policy, productivity / tips and tricks, programming, research, robotics, society, STEAM-related, tools, trends, UK, Uncategorized, United States, vendors, vision/possibilities, voice recognition / voice enabled interfaces, by Daniel Christian

OpenAI + Figure

conversations with humans, on end-to-end neural networks:

? OpenAI is providing visual reasoning & language understanding
? Figure’s neural networks are delivering fast, low level, dexterous robot actions

(thread below)pic.twitter.com/trOV2xBoax

— Brett Adcock (@adcock_brett) March 13, 2024

[Report] Generative AI Top 150: The World’s Most Used AI Tools (Feb 2024) — from flexos.work by Daan van Rossum
FlexOS.work surveyed Generative AI platforms to reveal which get used most. While ChatGPT reigns supreme, countless AI platforms are used by millions.

As the FlexOS research study “Generative AI at Work” concluded based on a survey amongst knowledge workers, ChatGPT reigns supreme.
…
2. AI Tool Usage is Way Higher Than People Expect – Beating Netflix, Pinterest, Twitch.
As measured by data analysis platform Similarweb based on global web traffic tracking, the AI tools in this list generate over 3 billion monthly visits.

With 1.67 billion visits, ChatGPT represents over half of this traffic and is already bigger than Netflix, Microsoft, Pinterest, Twitch, and The New York Times.

.

Artificial Intelligence Act: MEPs adopt landmark law — from europarl.europa.eu

Safeguards on general purpose artificial intelligence
Limits on the use of biometric identification systems by law enforcement
Bans on social scoring and AI used to manipulate or exploit user vulnerabilities
Right of consumers to launch complaints and receive meaningful explanations

The untargeted scraping of facial images from CCTV footage to create facial recognition databases will be banned © Alexander / Adobe Stock

A New Surge in Power Use Is Threatening U.S. Climate Goals — from nytimes.com by Brad Plumer and Nadja Popovich
A boom in data centers and factories is straining electric grids and propping up fossil fuels.

Something unusual is happening in America. Demand for electricity, which has stayed largely flat for two decades, has begun to surge.

Over the past year, electric utilities have nearly doubled their forecasts of how much additional power they’ll need by 2028 as they confront an unexpected explosion in the number of data centers, an abrupt resurgence in manufacturing driven by new federal laws, and millions of electric vehicles being plugged in.

OpenAI and the Fierce AI Industry Debate Over Open Source — from bloomberg.com by Rachel Metz

The tumult could seem like a distraction from the startup’s seemingly unending march toward AI advancement. But the tension, and the latest debate with Musk, illuminates a central question for OpenAI, along with the tech world at large as it’s increasingly consumed by artificial intelligence: Just how open should an AI company be?
…
The meaning of the word “open” in “OpenAI” seems to be a particular sticking point for both sides — something that you might think sounds, on the surface, pretty clear. But actual definitions are both complex and controversial.

Researchers develop AI-driven tool for near real-time cancer surveillance — from medicalxpress.com by Mark Alewine; via The Rundown AI
Artificial intelligence has delivered a major win for pathologists and researchers in the fight for improved cancer treatments and diagnoses.

In partnership with the National Cancer Institute, or NCI, researchers from the Department of Energy’s Oak Ridge National Laboratory and Louisiana State University developed a long-sequenced AI transformer capable of processing millions of pathology reports to provide experts researching cancer diagnoses and management with exponentially more accurate information on cancer reporting.

How a Hollywood Director Uses AI to Make Movies — from every.to by Dan Shipper
Dave Clarke shows us the future of AI filmmaking

Dave told me that he couldn’t have made Borrowing Time without AI—it’s an expensive project that traditional Hollywood studios would never bankroll. But after Dave’s short went viral, major production houses approached him to make it a full-length movie. I think this is an excellent example of how AI is changing the art of filmmaking, and I came out of this interview convinced that we are on the brink of a new creative age.

We dive deep into the world of AI tools for image and video generation, discussing how aspiring filmmakers can use them to validate their ideas, and potentially even secure funding if they get traction. Dave walks me through how he has integrated AI into his movie-making process, and as we talk, we make a short film featuring Nicolas Cage using a haunted roulette ball to resurrect his dead movie career, live on the show.

“Turn your voice into passive income.” [elevenlabs.io] + other items re: AI in general

On 02/13/2024, in 21st century, 24x7x365 access, Artificial Intelligence/Agents/LLMs/and Related, bots, business, communications, digital audio, drama/theater, emerging technologies, experimentation, global / globalization, Natural Language Processing (NLP), society, the downsides of how people use tech, by Daniel Christian

Generative AI in a Nutshell – how to survive and thrive in the age of AI — from youtube.com by Henrik Kniberg; via Robert Gibson and Adam Garry on LinkedIn

Lawless superintelligence: Zero evidence that AI can be controlled — from earth.com by Eric Ralls

In the realm of technological advancements, artificial intelligence (AI) stands out as a beacon of immeasurable potential, yet also as a source of existential angst when considering that AI might already be beyond our ability to control.

Dr. Roman V. Yampolskiy, a leading figure in AI safety, shares his insights into this dual-natured beast in his thought-provoking work, “AI: Unexplainable, Unpredictable, Uncontrollable.”

His research underscores a chilling truth: our current understanding and control of AI are woefully inadequate, posing a threat that could either lead to unprecedented prosperity or catastrophic extinction.

From DSC:
This next item is for actors, actresses, and voiceover specialists:

Turn your voice into passive income. — from elevenlabs.io; via Ben’s Bites
Are you a professional voice actor? Sign up and share your voice today to start earning rewards every time it’s used.

“Unraveling the Legal Tech Ecosystem: How People, Processes, and Tech Work Together” [Levy, Hathaway, & Ranns] + other legaltech-related items

On 02/13/2024, in Artificial Intelligence/Agents/LLMs/and Related, law schools, Legal operations, legal reform, legal technologies, legislatures / government / legal, Natural Language Processing (NLP), podcasting, by Daniel Christian

Better Call GPT, Comparing Large Language Models Against Lawyers — from arxiv.org by Lauren Martin, Nick Whitehouse, Stephanie Yiu, Lizzie Catterson, & Rivindu Perera; via Azeem Azhar and Chantal Smith

This paper presents a groundbreaking comparison between Large Language Models (LLMs) and traditional legal contract reviewers—Junior Lawyers and Legal Process Outsourcers (LPOs). We dissect whether LLMs can outperform humans in accuracy, speed, and cost-efficiency during contract review. Our empirical analysis benchmarks LLMs against a ground truth set by Senior Lawyers, uncovering that advanced models match or exceed human accuracy in determining legal issues. In speed, LLMs complete reviews in mere seconds, eclipsing the hours required by their human counterparts. Cost-wise, LLMs operate at a fraction of the price, offering a staggering 99.97 percent reduction in cost over traditional methods. These results are not just statistics—they signal a seismic shift in legal practice. LLMs stand poised to disrupt the legal industry, enhancing accessibility and efficiency of legal services. Our research asserts that the era of LLM dominance in legal contract review is upon us, challenging the status quo and calling for a reimagined future of legal workflows.

Unraveling the Legal Tech Ecosystem: How People, Processes, and Tech Work Together — from legaltalknetwork.com by Colin Levy, JoAnn Hathaway, and Molly Ranns

Technology can help you solve problems in your law firm, connect with clients, save time and money, and so much more. But, how do you know what tech will work best for your practice? Molly Ranns and JoAnn Hathaway talk with Colin Levy about understanding and utilizing technology, common mistakes in choosing new tools, and ways to overcome tech-related fear and anxiety.

Legalweek Roundup: Top Takeaways for Litigation Teams — from jdsupra.com

Every time we attend Legalweek, we have a unique opportunity to tap into the collective knowledge of hundreds of legal professionals. This year at Legalweek 2024 we talked with peers in a wide variety of roles, from litigation support professionals and lawyers to partners and heads of innovation. Throughout the sessions and discussions, we started to notice a few common themes, interesting trends, and helpful insights.

Here’s the best of what we learned.

Introducing Gemini: our largest and most capable AI model [Google] + other items re: AI in general

On 12/07/2023, in Artificial Intelligence/Agents/LLMs/and Related, business, change, corporate / business world, emerging technologies, future, Google, languages and translation, multimedia, Natural Language Processing (NLP), trends, UK, United States, by Daniel Christian

Introducing Gemini: our largest and most capable AI model — from blog.google by Sundar Pichai and Demis Hassabis
Making AI more helpful for everyone

Today, we’re a step closer to this vision as we introduce Gemini, the most capable and general model we’ve ever built.

Gemini is the result of large-scale collaborative efforts by teams across Google, including our colleagues at Google Research. It was built from the ground up to be multimodal, which means it can generalize and seamlessly understand, operate across and combine different types of information including text, code, audio, image and video.

One year in: from ChatGPT3.5 to a whole new world — from stefanbauschard.substack.com by Stefan Bauschard
Happy Birthday to ChatGPT 3.5+. You’re growing up so fast!

So, in many ways, ChatGPT and its friends are far from as intelligent as a human; they do not have “general” intelligence (AGI).

But this will not last for long. The debate about ProjectQ aside, AIs with the ability to engage in high-level reasoning, plan, and have long-term memory are expected in the next 2–3 years. We are already seeing AI agents that are developing the ability to act autonomously and collaborate to a degree. Once AIs can reason and plan, acting autonomously and collaborating will not be a challenge.

ChatGPT is winning the future — but what future is that? — from theverge.com by David Pierce
OpenAI didn’t mean to kickstart a generational shift in the technology industry. But it did. Now all we have to decide is where to go from here.

We don’t know yet if AI will ultimately change the world the way the internet, social media, and the smartphone did. Those things weren’t just technological leaps — they actually reorganized our lives in fundamental and irreversible ways. If the final form of AI is “my computer writes some of my emails for me,” AI won’t make that list. But there are a lot of smart people and trillions of dollars betting that’s the beginning of the AI story, not the end. If they’re right, the day OpenAI launched its “research preview” of ChatGPT will be much more than a product launch for the ages. It’ll be the day the world changed, and we didn’t even see it coming.

AI is overhyped” — from theneurondaily.com by Pete Huang & Noah Edelman

If you’re feeling like AI is the future, but you’re not sure where to start, here’s our advice for 2024 based on our convos with business leaders:

Start with problems – Map out where your business is spending time and money, then ask if AI can help. Don’t do AI to say you’re doing AI.
Model the behavior – Teams do better in making use of new tools when their leadership buys in. Show them your support.
Do what you can, wait for the rest – With AI evolving so fast, “do nothing for now” is totally valid. Start with what you can do today (accelerating individual employee output) and keep up-to-date on the rest.

Google says new AI model Gemini outperforms ChatGPT in most tests — from theguardian.com by Dan Milmo
Gemini is being released in form of upgrade to Google’s chatbot Bard, but not yet in UK or EU

Google has unveiled a new artificial intelligence model that it claims outperforms ChatGPT in most tests and displays “advanced reasoning” across multiple formats, including an ability to view and mark a student’s physics homework.

The model, called Gemini, is the first to be announced since last month’s global AI safety summit, at which tech firms agreed to collaborate with governments on testing advanced systems before and after their release. Google said it was in discussions with the UK’s newly formed AI Safety Institute over testing Gemini’s most powerful version, which will be released next year.

Can new AI help to level up the scales of justice? — from gtlaw.com.au by Peter Waters, Jason Oliver, and David Baddeley

So asks a recent study by two academics from Stanford Law School, David Freeman Engstrom and Nora Freeman Engstrom, on the potential impact of AI on the civil litigation landscape in the US.

It is against this landscape, the study observes, that champions of legal tech have suggested that there is an opportunity for legal tech to “democratise” litigation and put litigation’s “haves” and “have nots” on a more equal footing, by arming smaller firms and sole practitioners with the tools necessary to do battle against their better resourced opponents, and cutting the cost of legal services, putting lawyers within reach of a wider swathe of people.

But is this a real opportunity, and will AI be key to its realisation?
…
However, while AI may reduce the justice gap between the “haves” and “have-nots” of litigation, it could also exacerbate existing inequalities.

From DSC:
While this article approaches things from the lawyer’s viewpoint, I’d like to see this question and the use of AI from the common man’s/woman’s viewpoint. Why? In order to provide FAR GREATER access to justice (#A2J) for those who can’t afford a lawyer as they head into the civil law courtrooms.

Should I take my case to court? Do I have a chance to win this case? If so, how?
What forms do I need to complete if I’m going to go to court?
When and how do I address the judge?
What does my landlord have to do?
How do I prevent myself from falling into a debt-collection mess and/or what options do I have to get out of this mess?
Are there any lawyers in my area who would take my case on a pro bono basis?
…and judges and lawyers — as well as former litigants — could add many more questions (and answers) to this list

Bottom line:
It is my hope that technology can help increase access to justice.

Also relevant/see:

Virtual Justice? Exploring AI’s impact on legal accessibility — from nortonrosefulbright.com by Chris Owen and Mary-Frances Murphy

Excerpt (emphasis DSC):

A number of products are already under development, or have been launched. One example is a project that Norton Rose Fulbright is working on, together with not-for-profit legal service Justice Connect. The scope is to develop an automated natural language processing AI model that seeks to interpret the ‘everyday’ language used by clients in order to identify the client’s legal issues and correctly diagnose their legal problem. This tool is aimed at addressing the struggles that individuals often face in deciphering legal jargon and understanding the nature of their legal issue and the type of lawyer, or legal support, they need to resolve that problem.

Learning Ecosystems

For storytellers and filmakers: How a Hollywood Director Uses AI to Make Movies [Shipper]

Can new AI help to level up the scales of justice? [Waters, Oliver, & Baddeley]

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