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.

 

 

Generative A.I. + Law – Background, Applications and Use Cases Including GPT-4 Passes the Bar Exam – Speaker Deck — from speakerdeck.com by Professor Daniel Martin Katz

 

 

 


Also relevant/see:

AI-Powered Virtual Legal Assistants Transform Client Services — from abovethelaw.com by Olga V. Mack
They can respond more succinctly than ever to answer client questions, triage incoming requests, provide details, and trigger automated workflows that ensure lawyers handle legal issues efficiently and effectively.

Artificial Intelligence in Law: How AI Can Reshape the Legal Industry — from jdsupra.com

 

The Prompt #14: Your Guide to Custom Instructions — from noisemedia.ai by Alex Banks

Whilst we typically cover a single ‘prompt’ to use with ChatGPT, today we’re exploring a new feature now available to everyone: custom instructions.

You provide specific directions for ChatGPT leading to greater control of the output. It’s all about guiding the AI to get the responses you really want.

To get started:
Log into ChatGPT ? Click on your name/email bottom left corner ? select ‘Custom instructions’


Meet Zoom AI Companion, your new AI assistant! Unlock the benefits with a paid Zoom account — from blog.zoom.us by Smita Hashim

We’re excited to introduce you to AI Companion (formerly Zoom IQ), your new generative AI assistant across the Zoom platform. AI Companion empowers individuals by helping them be more productive, connect and collaborate with teammates, and improve their skills.

Envision being able to interact with AI Companion through a conversational interface and ask for help on a whole range of tasks, similarly to how you would with a real assistant. You’ll be able to ask it to help prepare for your upcoming meeting, get a consolidated summary of prior Zoom meetings and relevant chat threads, and even find relevant documents and tickets from connected third-party applications with your permission.

From DSC:
You can ask AI Companion to catch you up on what you missed during a meeting in progress.”

And what if some key details were missed? Should you rely on this? I’d treat this with care/caution myself.



A.I.’s un-learning problem: Researchers say it’s virtually impossible to make an A.I. model ‘forget’ the things it learns from private user data — from fortune.com by Stephen Pastis (behind paywall)

That’s because, as it turns out, it’s nearly impossible to remove a user’s data from a trained A.I. model without resetting the model and forfeiting the extensive money and effort put into training it. To use a human analogy, once an A.I. has “seen” something, there is no easy way to tell the model to “forget” what it saw. And deleting the model entirely is also surprisingly difficult.

This represents one of the thorniest, unresolved, challenges of our incipient artificial intelligence era, alongside issues like A.I. “hallucinations” and the difficulties of explaining certain A.I. outputs. 


More companies see ChatGPT training as a hot job perk for office workers — from cnbc.com by Mikaela Cohen

Key points:

  • Workplaces filled with artificial intelligence are closer to becoming a reality, making it essential that workers know how to use generative AI.
  • Offering specific AI chatbot training to current employees could be your next best talent retention tactic.
  • 90% of business leaders see ChatGPT as a beneficial skill in job applicants, according to a report from career site Resume Builder.

OpenAI Plugs ChatGPT Into Canva to Sharpen Its Competitive Edge in AI — from decrypt.co by Jose Antonio Lanz
Now ChatGPT Plus users can “talk” to Canva directly from OpenAI’s bot, making their workflow easier.

This strategic move aims to make the process of creating visuals such as logos, banners, and more, even more simple for businesses and entrepreneurs.

This latest integration could improve the way users generate visuals by offering a streamlined and user-friendly approach to digital design.


From DSC:
This Tweet addresses a likely component of our future learning ecosystems:


Large language models aren’t people. Let’s stop testing them as if they were. — from technologyreview.com by Will Douglas Heaven
With hopes and fears about this technology running wild, it’s time to agree on what it can and can’t do.

That’s why a growing number of researchers—computer scientists, cognitive scientists, neuroscientists, linguists—want to overhaul the way they are assessed, calling for more rigorous and exhaustive evaluation. Some think that the practice of scoring machines on human tests is wrongheaded, period, and should be ditched.

“There’s a lot of anthropomorphizing going on,” she says. “And that’s kind of coloring the way that we think about these systems and how we test them.”

“There is a long history of developing methods to test the human mind,” says Laura Weidinger, a senior research scientist at Google DeepMind. “With large language models producing text that seems so human-like, it is tempting to assume that human psychology tests will be useful for evaluating them. But that’s not true: human psychology tests rely on many assumptions that may not hold for large language models.”


We Analyzed Millions of ChatGPT User Sessions: Visits are Down 29% since May, Programming Assistance is 30% of Use — from sparktoro.com by Rand Fishkin

In concert with the fine folks at Datos, whose opt-in, anonymized panel of 20M devices (desktop and mobile, covering 200+ countries) provides outstanding insight into what real people are doing on the web, we undertook a challenging project to answer at least some of the mystery surrounding ChatGPT.



Crypto in ‘arms race’ against AI-powered scams — Quantstamp co-founder — from cointelegraph.com by Tom Mitchelhill
Quantstamp’s Richard Ma explained that the coming surge in sophisticated AI phishing scams could pose an existential threat to crypto organizations.

With the field of artificial intelligence evolving at near breakneck speed, scammers now have access to tools that can help them execute highly sophisticated attacks en masse, warns the co-founder of Web3 security firm Quantstamp.


 

Introductory comments from DSC:

Sometimes people and vendors write about AI’s capabilities in such a glowingly positive way. It seems like AI can do everything in the world. And while I appreciate the growing capabilities of Large Language Models (LLMs) and the like, there are some things I don’t want AI-driven apps to do.

For example, I get why AI can be helpful in correcting my misspellings, my grammatical errors, and the like. That said, I don’t want AI to write my emails for me. I want to write my own emails. I want to communicate what I want to communicate. I don’t want to outsource my communication. 

And what if an AI tool summarizes an email series in a way that I miss some key pieces of information? Hmmm…not good.

Ok, enough soapboxing. I’ll continue with some resources.


ChatGPT Enterprise

Introducing ChatGPT Enterprise — from openai.com
Get enterprise-grade security & privacy and the most powerful version of ChatGPT yet.

We’re launching ChatGPT Enterprise, which offers enterprise-grade security and privacy, unlimited higher-speed GPT-4 access, longer context windows for processing longer inputs, advanced data analysis capabilities, customization options, and much more. We believe AI can assist and elevate every aspect of our working lives and make teams more creative and productive. Today marks another step towards an AI assistant for work that helps with any task, is customized for your organization, and that protects your company data.

Enterprise-grade security & privacy and the most powerful version of ChatGPT yet. — from openai.com


NVIDIA

Nvidia’s Q2 earnings prove it’s the big winner in the generative AI boom — from techcrunch.com by Kirsten Korosec

Nvidia Quarterly Earnings Report Q2 Smashes Expectations At $13.5B — from techbusinessnews.com.au
Nvidia’s quarterly earnings report (Q2) smashed expectations coming in at $13.5B more than doubling prior earnings of $6.7B. The chipmaker also projected October’s total revenue would peak at $16B


MISC

OpenAI Passes $1 Billion Revenue Pace as Big Companies Boost AI Spending — from theinformation.com by Amir Efrati and Aaron Holmes

OpenAI is currently on pace to generate more than $1 billion in revenue over the next 12 months from the sale of artificial intelligence software and the computing capacity that powers it. That’s far ahead of revenue projections the company previously shared with its shareholders, according to a person with direct knowledge of the situation.

OpenAI’s GPTBot blocked by major websites and publishers — from the-decoder.com by Matthias Bastian
An emerging chatbot ecosystem builds on existing web content and could displace traditional websites. At the same time, licensing and financing are largely unresolved.

OpenAI offers publishers and website operators an opt-out if they prefer not to make their content available to chatbots and AI models for free. This can be done by blocking OpenAI’s web crawler “GPTBot” via the robots.txt file. The bot collects content to improve future AI models, according to OpenAI.

Major media companies including the New York Times, CNN, Reuters, Chicago Tribune, ABC, and Australian Community Media (ACM) are now blocking GPTBot. Other web-based content providers such as Amazon, Wikihow, and Quora are also blocking the OpenAI crawler.

Introducing Code Llama, a state-of-the-art large language model for coding  — from ai.meta.com

Takeaways re: Code Llama:

  • Is a state-of-the-art LLM capable of generating code, and natural language about code, from both code and natural language prompts.
  • Is free for research and commercial use.
  • Is built on top of Llama 2 and is available in three models…
  • In our own benchmark testing, Code Llama outperformed state-of-the-art publicly available LLMs on code tasks

Key Highlights of Google Cloud Next ‘23— from analyticsindiamag.com by Shritama Saha
Meta’s Llama 2, Anthropic’s Claude 2, and TII’s Falcon join Model Garden, expanding model variety.

AI finally beats humans at a real-life sport— drone racing — from nature.com by Dan Fox
The new system combines simulation with onboard sensing and computation.

From DSC:
This is scary — not at all comforting to me. Militaries around the world continue their jockeying to be the most dominant, powerful, and effective killers of humankind. That definitely includes the United States and China. But certainly others as well. And below is another alarming item, also pointing out the downsides of how we use technologies.

The Next Wave of Scams Will Be Deepfake Video Calls From Your Boss — from bloomberg.com by Margi Murphy; behind paywall

Cybercriminals are constantly searching for new ways to trick people. One of the more recent additions to their arsenal was voice simulation software.

10 Great Colleges For Studying Artificial Intelligence — from forbes.com by Sim Tumay

The debut of ChatGPT in November created angst for college admission officers and professors worried they would be flooded by student essays written with the undisclosed assistance of artificial intelligence. But the explosion of interest in AI has benefits for higher education, including a new generation of students interested in studying and working in the field. In response, universities are revising their curriculums to educate AI engineers.

 

OpenAI angles to put ChatGPT in classrooms with special tutor prompts — from techcrunch.com by Devin Coldewey

Taking the bull by the horns, the company has proposed a few ways for teachers to put the system to use… outside its usual role as “research assistant” for procrastinating students.
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Teaching with AI -- a guide from OpenAI


Q2 Earnings Roundup – EdTech Generative AI — from aieducation.substack.com by Claire Zau
A roundup of LLM and AI discussions from Q2 EdTech Earnings

In this piece, we’ll be breaking down how a few of edtech’s most important companies are thinking about AI developments.

  • Duolingo
  • Powerschool
  • Coursera
  • Docebo
  • Instructure
  • Nerdy
 

From DSC:
Yesterday, I posted the item about Google’s NotebookLM research tool. Excerpt:

What if you could have a conversation with your notes? That question has consumed a corner of the internet recently, as companies like Dropbox, Box, Notion, and others have built generative AI tools that let you interact with and create new things from the data you already have in their systems.

Google’s version of this is called NotebookLM. It’s an AI-powered research tool that is meant to help you organize and interact with your own notes.

That got me to thinking…

What if the presenter/teacher/professor/trainer/preacher provided a set of notes for the AI to compare to the readers’ notes? 

That way, the AI could see the discrepancies between what the presenter wanted their audience to learn/hear and what was actually being learned/heard. In a sort of digital Socratic Method, the AI could then generate some leading questions to get the audience member to check their thinking/understanding of the topic.

The end result would be that the main points were properly communicated/learned/received.

 
© 2024 | Daniel Christian