Introducing the GPT Store

Introducing the GPT Store — from OpenAI
We’re launching the GPT Store to help you find useful and popular custom versions of ChatGPT.

It’s been two months since we announced GPTs, and users have already created over 3 million custom versions of ChatGPT. Many builders have shared their GPTs for others to use. Today, we’re starting to roll out the GPT Store to ChatGPT Plus, Team and Enterprise users so you can find useful and popular GPTs. Visit chat.openai.com/gpts to explore.



Introducing ChatGPT Team — from openai.com
We’re launching a new ChatGPT plan for teams of all sizes, which provides a secure, collaborative workspace to get the most out of ChatGPT at work.

ChatGPT Team offers access to our advanced models like GPT-4 and DALL·E 3, and tools like Advanced Data Analysis. It additionally includes a dedicated collaborative workspace for your team and admin tools for team management. As with ChatGPT Enterprise, you own and control your business data—we do not train on your business data or conversations, and our models don’t learn from your usage. More details on our data privacy practices can be found on our privacy page and Trust Portal.


GPT Store — from theneurondaily.com by Noah Edelman & Pete Huang

The App Store for ChatGPTs is here.

OpenAI finally launched its GPT Store—a hub offering access to over 3 million GPTs, for paid users (#sorrynotsorry).
If you missed pt. 1, pt. 2, and pt. 3 of our GPTs analysis, here’s the TLDR: GPTs are customized versions of ChatGPT pre-loaded with prompts or context, each designed to be good at specific tasks.

There’s a GPT for everything, like one for lesson plans, one that crunches numbers, and one that recommends books you’ll buy but never read.

The GPT Store is a game-changer.


OpenAI Just Released The GPT Store. Here’s How To Use It And Make Money With Your GPT — from artificialcorner.com by The Pycoach
Learn how to publish your GPT to the store and monetize it.

How to stand out on the GPT Store
The low barrier to entry for making GPTs will make earning money on the GPT store difficult. Not everyone will make tons of money off their GPT, but I think those with more chances of success will:

  • Use custom actions: This is a feature that allows your GPT to connect to an API. Connecting to APIs gives your GPT new functionalities that others won’t be able to replicate unless they have access to the API (here you can see my tutorial on how to add custom action to your GPT)
  • Use knowledge: Knowledge is a feature that allows you to add files to your GPT. Adding exclusive information could enrich your GPT and help it stand out from the pack. Just remember that files can be downloaded when the code interpreter is enabled.

OpenAI releases the app store of AI — from superhuman.ai by Zain Kahn

App stores are ginormous businesses. According to CNBC’s estimates, Apple’s App Store grossed north of $70 Billion in 2022. That’s more revenue than Spotify, Shopify and Airbnb generated in the same year — combined.

When you look at the size of the opportunity that app stores built on top of popular platforms unlock, OpenAI’s latest move to launch a GPT Store is another bold bet by the startup that’s already leading the LLM and chatbot markets with GPT-4 and ChatGPT.

Announced [on 1/10/24], the GPT Store is a place for ChatGPT users to find custom versions of the chatbot that are designed for specific use cases.

 

CES 2024: Unveiling The Future Of Legal Through Consumer Innovations — from abovethelaw.com by Stephen Embry
The ripple effects on the legal industry are real.

The Emerging Role of Smart TVs
Boothe and Comiskey claim that our TVs will become even smarter and better connected to the web and the internet. Our TVs will become an intelligent center for a variety of applications powered through our smartphone. TVs will be able to direct things like appliances and security cameras. Perhaps even more importantly, our TVs can become e-commerce centers, allowing us to speak with them and conduct business.

This increased TV capability means that the TV could become a more dominant mode of working and computing for lawyers. As TVs become more integrated with the internet and capable of functioning as communication hubs, they could potentially replace traditional computing devices in legal settings. With features like voice control and pattern recognition, TVs could serve as efficient tools for such things as document preparation and client meetings.

From DSC:
Now imagine the power of voice-enabled chatbots and the like. We could be videoconferencing (or holograming) with clients, and be able to access information at the same time. Language translation — like that in the Timekettle product — will be built in.

I also wonder how this type of functionality will play out in lifelong learning from our living rooms.

Learning from the Living AI-Based Class Room

 


Also, some other legaltech-related items:


Are Tomorrow’s Lawyers Prepared for Legal’s Tech Future? 4 Recent Trends Shaping Legal Education | Legaltech News — from law.com (behind paywall)

Legal Tech Predictions for 2024: Embracing a New Era of Innovation — from jdsupra.com

As we step into 2024, the legal industry continues to be reshaped by technological advancements. This year promises to bring new developments that could revolutionize how legal professionals work and interact with clients. Here are key predictions for legal tech in 2024:

Miss the Legaltech Week 2023 Year-in-Review Show? Here’s the Recording — from lawnext.com by Bob Ambrogi

Last Friday was Legaltech Week’s year-end show, in which our panel of journalists and bloggers picked the year’s top stories in legal tech and innovation.

So what were the top stories? Well, if you missed it, no worries. Here’s the video:

 

Advice to schools — from theneurondaily.com
PLUS: 7 GPTs you need start using!

Now, here are some of the best resources we’ve found for incorporating AI into classrooms:

 

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

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

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

 

The biggest things that happened in AI this year — from superhuman.ai by Zain Kahn

January:

  • Microsoft raises eyebrows with a huge $10 Billion investment in OpenAI.

February:

  • Meta launches Llama 2, their open-source rival to OpenAI’s models.
  • OpenAI announces ChatGPT Plus, a paid version of their chatbot.
  • Microsoft announces a new AI-powered Bing Search.

March:

  • OpenAI announces the powerful GPT-4 model, still considered to be the gold standard.
  • Midjourney releases V5, which brings AI-powered image generation one step closer to reality.
  • Microsoft launches Copilot for Microsoft 365.
  • Google launches Bard, its rival to ChatGPT.

…and more


AI 2023: A Year in Review — from stefanbauschard.substack.com by Stefan Bauschard
2023 developments in AI and a hint of what they are building toward

Some of the items that Stefan includes in his posting include:

  • ChatGPT and other language models that generate text.
  • Image generators.
  • Video generators.
  • AI models that that can read, hear, and speak.
  • AI models that can see.
  • Improving models.
  • “Multimodal” models.
  • Training on specific content.
  • Reasoning & planning.
  • …and several others

The Dictionary.com Word of the Year is “hallucinate.” — from content.dictionary.com by Nick Norlen and Grant Barrett; via The Rundown AI

hallucinate
[ huhloo-suh-neyt ]

verb
(of artificial intelligence) to produce false information contrary to the intent of the user and present it as if true and factual. Example: When chatbots hallucinate, the result is often not just inaccurate but completely fabricated.


Soon, every employee will be both AI builder and AI consumer — from zdnet.com by Joe McKendrick, via Robert Gibson on LinkedIn
“Standardized tools and platforms as well as advanced low- or no-code tech may enable all employees to become low-level engineers,” suggests a recent report.

The time could be ripe for a blurring of the lines between developers and end-users, a recent report out of Deloitte suggests. It makes more business sense to focus on bringing in citizen developers for ground-level programming, versus seeking superstar software engineers, the report’s authors argue, or — as they put it — “instead of transforming from a 1x to a 10x engineer, employees outside the tech division could be going from zero to one.”

Along these lines, see:

  • TECH TRENDS 2024 — from deloitte.com
    Six emerging technology trends demonstrate that in an age of generative machines, it’s more important than ever for organizations to maintain an integrated business strategy, a solid technology foundation, and a creative workforce.

UK Supreme Court rules AI is not an inventor — from theverge.com by Emilia David

The ruling follows a similar decision denying patent registrations naming AI as creators.

The UK Supreme Court ruled that AI cannot get patents, declaring it cannot be named as an inventor of new products because the law considers only humans or companies to be creators.


The Times Sues OpenAI and Microsoft Over A.I. Use of Copyrighted Work — from nytimes.com by Michael M. Grynbaum and Ryan Mac

The New York Times sued OpenAI and Microsoft for copyright infringement on Wednesday, opening a new front in the increasingly intense legal battle over the unauthorized use of published work to train artificial intelligence technologies.

The suit does not include an exact monetary demand. But it says the defendants should be held responsible for “billions of dollars in statutory and actual damages” related to the “unlawful copying and use of The Times’s uniquely valuable works.” It also calls for the companies to destroy any chatbot models and training data that use copyrighted material from The Times.

On this same topic, also see:


Apple’s iPhone Design Chief Enlisted by Jony Ive, Sam Altman to Work on AI Devices — from bloomberg.com by Mark Gurman (behind paywall)

  • Design executive Tang Tan is set to leave Apple in February
  • Tan will join Ive’s LoveFrom design studio, work on AI project

AI 2023: Chatbots Spark New Tools — from heatherbcooper.substack.com by Jeather Cooper

ChatGPT and Other Chatbots
The arrival of ChatGPT sparked tons of new AI tools and changed the way we thought about using a chatbot in our daily lives.

Chatbots like ChatGPT, Perplexity, Claude, and Bing Chat can help content creators by quickly generating ideas, outlines, drafts, and full pieces of content, allowing creators to produce more high-quality content in less time.

These AI tools boost efficiency and creativity in content production across formats like blog posts, social captions, newsletters, and more.


Microsoft’s next Surface laptops will reportedly be its first true ‘AI PCs’ — from theverge.com by Emma Roth
Next year’s Surface Laptop 6 and Surface Pro 10 will feature Arm and Intel options, according to Windows Central.

Microsoft is getting ready to upgrade its Surface lineup with new AI-enabled features, according to a report from Windows Central. Unnamed sources told the outlet the upcoming Surface Pro 10 and Surface Laptop 6 will come with a next-gen neural processing unit (NPU), along with Intel and Arm-based options.


How one of the world’s oldest newspapers is using AI to reinvent journalism — from theguardian.com by Alexandra Topping
Berrow’s Worcester Journal is one of several papers owned by the UK’s second biggest regional news publisher to hire ‘AI-assisted’ reporters

With the AI-assisted reporter churning out bread and butter content, other reporters in the newsroom are freed up to go to court, meet a councillor for a coffee or attend a village fete, says the Worcester News editor, Stephanie Preece.

“AI can’t be at the scene of a crash, in court, in a council meeting, it can’t visit a grieving family or look somebody in the eye and tell that they’re lying. All it does is free up the reporters to do more of that,” she says. “Instead of shying away from it, or being scared of it, we are saying AI is here to stay – so how can we harness it?”



What to Expect in AI in 2024 — from hai.stanford.edu by
Seven Stanford HAI faculty and fellows predict the biggest stories for next year in artificial intelligence.

Topics include:

  • White Collar Work Shifts
  • Deepfake Proliferation
  • GPUs Shortage
  • More Helpful Agents
  • Hopes for U.S. Regulation
  • Asking Big Questions, Applying New Policies
  • Companies Will Navigate Complicated Regulations

Addendum on 1/2/24:


 

The rise of AI fake news is creating a ‘misinformation superspreader’ — from washingtonpost.com by Pranshu Verma
AI is making it easy for anyone to create propaganda outlets, producing content that can be hard to differentiate from real news

Artificial intelligence is automating the creation of fake news, spurring an explosion of web content mimicking factual articles that instead disseminates false information about elections, wars and natural disasters.

Since May, websites hosting AI-created false articles have increased by more than 1,000 percent, ballooning from 49 sites to more than 600, according to NewsGuard, an organization that tracks misinformation.

Historically, propaganda operations have relied on armies of low-paid workers or highly coordinated intelligence organizations to build sites that appear to be legitimate. But AI is making it easy for nearly anyone — whether they are part of a spy agency or just a teenager in their basement — to create these outlets, producing content that is at times hard to differentiate from real news.


AI, and everything else — from pitch.com by Benedict Evans


Chevy Chatbots Go Rogue — from
How a customer service chatbot made a splash on social media; write your holiday cards with AI

Their AI chatbot, designed to assist customers in their vehicle search, became a social media sensation for all the wrong reasons. One user even convinced the chatbot to agree to sell a 2024 Chevy Tahoe for just one dollar!

This story is exactly why AI implementation needs to be approached strategically. Learning to use AI, also means learning to build thinking of the guardrails and boundaries.

Here’s our tips.


Rite Aid used facial recognition on shoppers, fueling harassment, FTC says — from washingtonpost.com by Drew Harwell
A landmark settlement over the pharmacy chain’s use of the surveillance technology could raise further doubts about facial recognition’s use in stores, airports and other venues

The pharmacy chain Rite Aid misused facial recognition technology in a way that subjected shoppers to unfair searches and humiliation, the Federal Trade Commission said Tuesday, part of a landmark settlement that could raise questions about the technology’s use in stores, airports and other venues nationwide.

But the chain’s “reckless” failure to adopt safeguards, coupled with the technology’s long history of inaccurate matches and racial biases, ultimately led store employees to falsely accuse shoppers of theft, leading to “embarrassment, harassment, and other harm” in front of their family members, co-workers and friends, the FTC said in a statement.


 

Prompt engineering — from platform.openai.com

This guide shares strategies and tactics for getting better results from large language models (sometimes referred to as GPT models) like GPT-4. The methods described here can sometimes be deployed in combination for greater effect. We encourage experimentation to find the methods that work best for you.

Some of the examples demonstrated here currently work only with our most capable model, gpt-4. In general, if you find that a model fails at a task and a more capable model is available, it’s often worth trying again with the more capable model.

You can also explore example prompts which showcase what our models are capable of…


Preparedness — from openai.com

The study of frontier AI risks has fallen far short of what is possible and where we need to be. To address this gap and systematize our safety thinking, we are adopting the initial version of our Preparedness Framework. It describes OpenAI’s processes to track, evaluate, forecast, and protect against catastrophic risks posed by increasingly powerful models.


Every Major Tech Development From 2023 — from newsletter.thedailybite.co
The yearly tech round-up, Meta’s smart glasses upgrade, and more…

Here’s every major innovation from the last 365 days:

  • Microsoft: Launched additional OpenAI-powered features, including Copilot for Microsoft Dynamics 365 and Microsoft 365, enhancing business functionalities like text summarization, tone adjustment in emails, data insights, and automatic presentation creation.
  • Google: Introduced Duet, akin to Microsoft’s Copilot, integrating Gen AI across Google Workspace for writing assistance and custom visual creation. Also debuted Generative AI Studio, enabling developers to craft AI apps, and unveiled Gemini & Bard, a new AI technology with impressive features.
  • Salesforce: …
  • Adobe: …
  • Amazon Web Services (AWS): …
  • IBM:  …
  • Nvidia:  …
  • OpenAI:  …
  • Meta (Facebook):
  • Tencent:
  • Baidu:

News in chatbots — from theneurondaily.com by Noah Edelman & Pete Huang

Here’s what’s on the horizon:

  • Multimodal AI gets huge. Instead of just typing, more people will talk to AI, listen to it, create images, get visual feedback, create graphs, and more.
  • AI video gets really good. So far, AI videos have been cool-but-not-practical. They’re getting way better and we’re on the verge of seeing 100% AI-generated films, animations, and cartoons.
  • AI on our phones. Imagine Siri with the brains of ChatGPT-4 and the ambition of Alexa. TBD who pulls this off first!
  • GPT-5. ‘Nuff said.

20 Best AI Chatbots in 2024 — from eweek.com by Aminu Abdullahi
These leading AI chatbots use generative AI to offer a wide menu of functionality, from personalized customer service to improved information retrieval.

Top 20 Generative AI Chatbot Software: Comparison Chart
We compared the key features of the top generative AI chatbot software to help you determine the best option for your company…


What Google Gemini Teaches Us About Trust and The Future — from aiwithallie.beehiiv.com by Allie K. Miller
The AI demo may have been misleading, but it teaches us two huge lessons.

TL;DR (too long, didn’t read)

  1. We’re moving from ‘knowledge’ to ‘action’. 
    AI moving into proactive interventions.
  2. We’re getting more efficient. 
    Assume 2024 brings lower AI OpEx.
  3. It’s multi-modal from here on out. 
    Assume 2024 is multi-modal.
  4. There’s no one model to rule them all.
    Assume 2024 has more multi-model orchestration & delegation.

Stay curious, stay informed,
Allie


Chatbot Power Rankings — from theneurondaily.com by Noah Edelman

Here’s our power rankings of the best chatbots for (non-technical) work:

1: ChatGPT-4Unquestionably the smartest, with the strongest writing, coding, and reasoning abilities.

T1: Gemini Ultra—In theory as powerful as GPT-4. We won’t know for sure until it’s released in 2024.

2: Claude 2Top choice for managing lengthy PDFs (handles ~75,000 words), and rarely hallucinates. Can be somewhat stiff.

3: PerplexityIdeal for real-time information. Upgrading to Pro grants access to both Claude-2 and GPT-4.

T4: PiThe most “human-like” chatbot, though integrating with business data can be challenging.

T4: Bing ChatDelivers GPT-4-esque responses, has internet access, and can generate images. Bad UX and doesn’t support PDFs.

T4: BardNow powered by Gemini Pro, offers internet access and answer verification. Tends to hallucinate more frequently.

and others…


Midjourney + ChatGPT = Amazing AI Art — from theaigirl.substack.com by Diana Dovgopol and the Pycoach
Turn ChatGPT into a powerful Midjourney prompt machine with basic and advanced formulas.


Make music with AI — from aitestkitchen.withgoogle.com re: Music FX


 

 


New Resource Catalogs and Makes Searchable Nearly 600 GPTs Related to Law, Tax and Regulatory Issues — from lawnext.com by Bob Ambrogi

But if you are looking for a law-related GPT, a new site can help. Raymond Blyd, the Amsterdam-based cofounder of Legalpioneer, a site that lists law-related companies, and CEO of Legalcomplex, a company that tracks investments and market data, has uncovered nearly 600 law-related GPTs and made them searchable on a new resource he calls Legalpioneer Copilot.

Blyd (who recently changed the spelling of his last name from Blijd) told me that the GPTs he has found cover a range of legal, regulatory and tax issues, and could be useful for academics, professionals and businesses.


With Launch of New AI Features, LawToolBox Is First Legal App Approved for Use with Copilot for Microsoft 365 — from lawnext.com by Bob Ambrogi


How It Works: AutoNDA, A Free Platform to Automate NDAs Under the Open Source oneNDA Standard — from lawnext.com by Bob Ambrogi

AutoNDA is designed for inhouse legal and business teams that need to streamline and centralize the NDA process. It enables self-serve access for your business teams and gives in-house teams control over outbound NDAs. It also stores and organizes all completed NDAs.


On LawNext: The Law Students Working to End Racism in the Legal System — from lawnext.com by Bob Ambrogi

 

Can new AI help to level up the scales of justice?


From DSC:
As you can see from the above items, Mr. David Goodrich, a great human being and a fellow Instructional Designer, had a great comment and question regarding the source of my hope that AI — and other forms of legaltech — could significantly provide more access to justice here in America. Our civil justice system has some serious problems — involving such areas as housing, employment, healthcare, education, families, and more.

I’d like to respond to that question here.

First of all, I completely get what David is saying. I, too, have serious doubts that our horrible access to justice (#A2J) situation will get better. Why? Because:

  • Many people working within the legal field like it this way, as they are all but assured victory in most of the civil lawsuits out there.
  • The Bar Associations of most of the states do not support changes that would threaten their incomes/livelihoods. This is especially true in California and Florida.
  • The legal field in general is not composed, for the most part, of highly innovative people who make things happen for the benefit of others. For example, the American Bar Association is 20+ years behind in terms of providing the level of online-based learning opportunities that they should be offering. They very tightly control how legal education is delivered in the U.S.

Here are several areas that provide me with hope for our future


There are innovative individuals out there fighting for change.
And though some of these individuals don’t reside in the United States, their work still impacts many here in America. For examples, see:

There are innovative new companies, firms, and other types of organizations out there fighting for change. For examples:

There are innovative new tools and technologies out there such as:

  • Artificial Intelligence (AI) and Machine Learning (ML) 
    • AI and machine learning remain pivotal in legaltech, especially for in-house lawyers who deal with vast quantities of contracts and complex legal matters. In 2024, these technologies will be integral for legal research, contract review, and the drafting of legal documents. Statistics from the Tech & the Law 2023 Report state more than three in five corporate legal departments (61%) have adopted generative AI in some capacity, with 7% actively using generative AI in their day-to-day work. With constant improvements to LLM (Large Language Models) by the big players, i.e. OpenAI, Google, and Microsoft (via OpenAI), 2024 will see more opportunities open and efficiencies gained for legal teams. (Source)
    • From drafting contracts to answering legal questions and summarising legal issues, AI is revolutionising the legal profession and although viewed with a sceptical eye by some law firms, is generally perceived to be capable of bringing huge benefits. (Source)
    • Legal bots like Harvey will assist lawyers with discovery.
  • Technology-assisted review (TAR) in e-discovery
  • Due to COVID 19, there were virtual courtrooms set up and just like with virtual/online-based learning within higher education, many judges, litigants, lawyers, and staff appreciated the time savings and productivity gains. Along these lines, see Richard Susskind’s work. [Richard] predicts a world of online courts, AI-based global legal businesses, disruptive legal technologies, liberalized markets, commoditization, alternative sourcing, simulated practice on the metaverse, and many new legal jobs. (Source)

There are innovative states out there fighting for change. For examples:

  • Utah in 2020 launched a pilot program that suspended ethics rules to allow for non-lawyer ownership of legal services providers and let non-lawyers apply for a waiver to offer certain legal services. (Source)
  • Arizona in 2021 changed its regulatory rules to allow for non-lawyer ownership. (Source)
  • Alaska with their Alaska Legal Services Corporation
  • …and others

And the last one — but certainly not the least one — is where my faith comes into play. I believe that the Triune God exists — The Father, The Son, and The Holy Spirit — and that the LORD is very active in our lives and throughout the globe. And one of the things the LORD values highly is JUSTICE. For examples:

  • Many seek an audience with a ruler, but it is from the Lord that one gets justice. Proverbs 29:26 NIV
  • These are the things you are to do: Speak the truth to each other, and render true and sound judgment in your courts; Zechariah 8:16 NIV
  • …and many others as can be seen below

The LORD values JUSTICE greatly!


So I believe that the LORD will actively help us provide greater access to justice in America.


Well…there you have it David. Thanks for your question/comment! I appreciate it!

 

34 Big Ideas that will change our world in 2024 — from linkedin.com

34 Big Ideas that will change our world in 2024 -- from linkedin.com 

Excerpts:

6. ChatGPT’s hype will fade, as a new generation of tailor-made bots rises up
11. We’ll finally turn the corner on teacher pay in 2024
21. Employers will combat job applicants’ use of AI with…more AI
31. Universities will view the creator economy as a viable career path

 

Q* MAY have made a breakthrough in two more intelligence domains (reasoning and planning). — from stefanbauschard.substack.com by Stefan Bauschard.
That shouldn’t surprise you; it will eventually happen.

DSC: I’m a bit confused this am as I’m seeing multiple — but different – references to “Q” and what it is. It seems to be at least two different things: 1) OpenAI’s secret project Q* and 2) Amazon Q, a new type of generative artificial intelligence-powered assistant

We need to start aligning the educational system with a world where humans live with machines that have intelligence capabilities that approximate their own.

  • Today’s freshmen *may* graduate into a world where AIs have at least similar intelligence abilities to humans. Today’s 1st graders *probably* will.
  • Efforts need to be made to align the educational system with a world where machines will have intelligence capabilities similar to those of humans.


Uncovering the AI Industry: 50 Most Visited AI Tools and Their 24B+ Traffic Behavior — from writerbuddy.ai; via AI Valley – Barsee



AWS Announces Amazon Q to Reimagine the Future of Work — from press.aboutamazon.com
New type of generative AI-powered assistant, built with security and privacy in mind, empowers employees to get answers to questions, solve problems, generate content, and take actions using the data and expertise found at their company

LAS VEGAS–(BUSINESS WIRE)–At AWS re:Invent, Amazon Web Services, Inc. (AWS), an Amazon.com, Inc. company (NASDAQ: AMZN), today announced Amazon Q, a new type of generative artificial intelligence-(AI) powered assistant that is specifically for work and can be tailored to a customer’s business. Customers can get fast, relevant answers to pressing questions, generate content, and take actions—all informed by a customer’s information repositories, code, and enterprise systems. Amazon Q provides information and advice to employees to streamline tasks, accelerate decision making and problem solving, and help spark creativity and innovation at work.



 

As AI Chatbots Rise, More Educators Look to Oral Exams — With High-Tech Twist — from edsurge.com by Jeffrey R. Young

To use Sherpa, an instructor first uploads the reading they’ve assigned, or they can have the student upload a paper they’ve written. Then the tool asks a series of questions about the text (either questions input by the instructor or generated by the AI) to test the student’s grasp of key concepts. The software gives the instructor the choice of whether they want the tool to record audio and video of the conversation, or just audio.

The tool then uses AI to transcribe the audio from each student’s recording and flags areas where the student answer seemed off point. Teachers can review the recording or transcript of the conversation and look at what Sherpa flagged as trouble to evaluate the student’s response.

 

Will Legal Prompt Engineers Replace Lawyers? — from forbes.com by Charles Lew

A woman at the computer

.

From DSC:
I’m not crazy about the click bait nature of the title, but the article lists some ways that AI could/is impacting the legal realm.
For example, here’s an excerpt:

Engineers in this capacity might not be legal experts, but they excel in framing precise questions for these models, drawing out answers that align with legal nuances. Essentially, these experts represent a significant paradigm shift, evolving the role of legal practitioners.

In legal research, an LPE harnesses advanced models to improve comprehension. Specific legal texts, statutes or summaries fed into the AI yield clarifications, contextual insights or succinct summaries. This assists legal professionals in quickly grasping the implications of texts, streamlining the research process.

In legal drafting, AI can suggest relevant clauses, pinpoint angles of an argument and provide recommendations to enhance clarity. It ensures consistency in terminology and references, detects redundant language and verifies the accuracy of legal citations. It flags potential high-risk language, aligns with jurisdictional norms and prioritizes relevance through contextual analysis. The system checks coherence in stipulated timelines and identifies potentially biased or non-inclusive language.

For training and brainstorming, LPEs can present hypothetical situations, formulating questions that unearth potential legal arguments or implications. Not only does it serve as an instructional tool for budding legal professionals, it also exercises a fresh perspective for seasoned attorneys.


12 Thoughts on Promises and Challenges of AI in Legal after Yesterday’s AI Summit at Harvard Law School — from lawnext.com by Bob Ambrogi

  1. Armed with AI, pro se litigants could overwhelm the courts, so the courts need to be prepared to respond in kind.
  2. If AI is to enhance access to justice, it will not be only by increasing lawyer productivity, but also by directly empowering consumers.
  3. Even the AI experts don’t understand AI.
  4. Experts are already striving to make the black box of AI more transparent.
  5. Even as law firms adopt AI, they are finding implementation to be a challenge.
  6. …and more

 

ChatGPT can now see, hear, and speak — from openai.com
We are beginning to roll out new voice and image capabilities in ChatGPT. They offer a new, more intuitive type of interface by allowing you to have a voice conversation or show ChatGPT what you’re talking about.

Voice and image give you more ways to use ChatGPT in your life. Snap a picture of a landmark while traveling and have a live conversation about what’s interesting about it. When you’re home, snap pictures of your fridge and pantry to figure out what’s for dinner (and ask follow up questions for a step by step recipe). After dinner, help your child with a math problem by taking a photo, circling the problem set, and having it share hints with both of you.

We’re rolling out voice and images in ChatGPT to Plus and Enterprise users over the next two weeks. Voice is coming on iOS and Android (opt-in in your settings) and images will be available on all platforms.





OpenAI Seeks New Valuation of Up to $90 Billion in Sale of Existing Shares — from wsj.com (behind paywall)
Potential sale would value startup at roughly triple where it was set earlier this year


The World’s First AI Cinema Experience Starring YOU Is Open In NZ And Buzzy Doesn’t Cover It — from theedge.co.nz by Seth Gupwell
Allow me to manage your expectations.

Because it’s the first-ever on Earth, it’s hard to label what kind of entertainment Hypercinema is. While it’s marketed as a “live AI experience” that blends “theatre, film and digital technology”, Dr. Gregory made it clear that it’s not here to make movies and TV extinct.

Your face and personality are how HyperCinema sets itself apart from the art forms of old. You get 15 photos of your face taken from different angles, then answer a questionnaire – mine started by asking what my fave vegetable was and ended by demanding to know what I thought the biggest threat to humanity was. Deep stuff, but the questions are always changing, cos that’s how AI rolls.

All of this information is stored on your cube – a green, glowing accessory that you carry around for the whole experience and insert into different sockets to transfer your info onto whatever screen is in front of you. Upon inserting your cube, the “live AI experience” starts.

The AI has taken your photos and superimposed your face on a variety of made-up characters in different situations.


Announcing Microsoft Copilot, your everyday AI companion — from blogs.microsoft.com by Yusuf Mehdi

We are entering a new era of AI, one that is fundamentally changing how we relate to and benefit from technology. With the convergence of chat interfaces and large language models you can now ask for what you want in natural language and the technology is smart enough to answer, create it or take action. At Microsoft, we think about this as having a copilot to help navigate any task. We have been building AI-powered copilots into our most used and loved products – making coding more efficient with GitHub, transforming productivity at work with Microsoft 365, redefining search with Bing and Edge and delivering contextual value that works across your apps and PC with Windows.

Today we take the next step to unify these capabilities into a single experience we call Microsoft Copilot, your everyday AI companion. Copilot will uniquely incorporate the context and intelligence of the web, your work data and what you are doing in the moment on your PC to provide better assistance – with your privacy and security at the forefront.


DALL·E 3 understands significantly more nuance and detail than our previous systems, allowing you to easily translate your ideas into exceptionally accurate images.
DALL·E 3 is now in research preview, and will be available to ChatGPT Plus and Enterprise customers in October, via the API and in Labs later this fall.


 

How new AI chatbots could help teachers with their toughest problems — from fastcompany.com by Greg Toppo
At least two groups are working on bots that would make peer-reviewed research, buried in expensive academic journals, accessible for everyday use.

But this fall, a few educators are quietly charting a different course they believe could change everything: At least two groups are pushing to create new AI chatbots that would offer teachers unlimited access to sometimes confusing and often paywalled peer-reviewed research on the topics that most bedevil them.

Their aspiration is to offer new tools that are more focused and helpful than wide-ranging ones like ChatGPT, which tends to stumble over research questions with competing findings. Like many juveniles faced with questions they can’t answer, it has a frustrating tendency to make things up.

Using ChatGPT Custom Instructions for Fun and Profit — from every.to by Dan Shipper
How to 10x ChatGPT with personalized answers 

Then, I turned Custom Instructions on and gave it the same starting prompt. Here are a few of the responses (emphases are mine):

Purpose: What’s the primary goal of the course? Is it to augment your existing offerings at Every, serve as a standalone product, or something else?”

Content Depth: Given your love for detailed, intellectual writing, how in-depth will you go on each topic?”

Guest Contributions: Do you plan to involve guest experts, perhaps even some of your writing heroes or team members like Kate Lee and Evan Armstrong?”

Time Investment: Given that you’re already grappling with being too opportunistic and dutiful, how will you allocate time for this without sidelining your creative work or burdening yourself?”

AI for comics — from aiandacademia.substack.com by Bryan Alexander
Exploring an entertaining new Hugging Face application

As generative AI grows, more uses appear. Beyond text and images, other domains for creation pop up as companies, groups, and individuals try out new functions.

Today’s case in point is AI Comic Factory from Hugging Face.* This service will generate a couple of comic book pages based on your text input. It gives you choices of comic style and page layout as well.

Items from Tom Barrett’ Promptcraft: AI for a better learning ecosystem

This new AI video tool clones your voice in 7 languages — and it’s blowing up  — from sg.news.yahoo.com by Christoph Schwaiger

How many languages do you speak? Thanks to AI, that number could be as many as seven. Los Angeles-based AI video platform HeyGen has launched a new tool that clones your voice from a video and translates what you’re saying into seven different languages. If that wasn’t enough, it also syncs your lips to your new voice so the final clip looks (and sounds) as realistic as possible.

Microsoft and Project Gutenberg release over 5,000 free audiobooks — from the-decoder.com by Matthias Bastian

Microsoft and Project Gutenberg have used AI technologies to create more than 5,000 free audiobooks with high-quality synthetic voices.

For the project, the researchers combined advances in machine learning, automatic text selection (which texts are read aloud, which are not), and natural-sounding speech synthesis systems.

 

 
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