[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.


 

What is executive function?

What is executive function? — from understood.org by Gail Belsky

Executive function is a set of mental skills that include working memory, flexible thinking, and self-control. We use these skills every day to learn, work, and manage daily life. Trouble with executive function can make it hard to focus, follow directions, and handle emotions, among other things.

Snapshot: What executive function is
Some people describe executive function as “the management system of the brain.” That’s because the skills involved let us set goals, plan, and get things done. When people struggle with executive function, it impacts them at home, in school, and in life.

There are three main areas of executive function. They are…

 
 

The Beatles’ final song is now streaming thanks to AI — from theverge.com by Chris Welch
Machine learning helped Paul McCartney and Ringo Starr turn an old John Lennon demo into what’s likely the band’s last collaborative effort.


Scientists excited by AI tool that grades severity of rare cancer — from bbc.com by Fergus Walsh

Artificial intelligence is nearly twice as good at grading the aggressiveness of a rare form of cancer from scans as the current method, a study suggests.

By recognising details invisible to the naked eye, AI was 82% accurate, compared with 44% for lab analysis.

Researchers from the Royal Marsden Hospital and Institute of Cancer Research say it could improve treatment and benefit thousands every year.

They are also excited by its potential for spotting other cancers early.


Microsoft unveils ‘LeMa’: A revolutionary AI learning method mirroring human problem solving — from venturebeat.com by Michael Nuñez

Researchers from Microsoft Research Asia, Peking University, and Xi’an Jiaotong University have developed a new technique to improve large language models’ (LLMs) ability to solve math problems by having them learn from their mistakes, akin to how humans learn.

The researchers have revealed a pioneering strategy, Learning from Mistakes (LeMa), which trains AI to correct its own mistakes, leading to enhanced reasoning abilities, according to a research paper published this week.

Also from Michael Nuñez at venturebeat.com, see:


GPTs for all, AzeemBot; conspiracy theorist AI; big tech vs. academia; reviving organs ++448 — from exponentialviewco by Azeem Azhar and Chantal Smith


Personalized A.I. Agents Are Here. Is the World Ready for Them? — from ytimes.com by Kevin Roose (behind a paywall)

You could think of the recent history of A.I. chatbots as having two distinct phases.

The first, which kicked off last year with the release of ChatGPT and continues to this day, consists mainly of chatbots capable of talking about things. Greek mythology, vegan recipes, Python scripts — you name the topic and ChatGPT and its ilk can generate some convincing (if occasionally generic or inaccurate) text about it.

That ability is impressive, and frequently useful, but it is really just a prelude to the second phase: artificial intelligence that can actually do things. Very soon, tech companies tell us, A.I. “agents” will be able to send emails and schedule meetings for us, book restaurant reservations and plane tickets, and handle complex tasks like “negotiate a raise with my boss” or “buy Christmas presents for all my family members.”


From DSC:
Very cool!


Nvidia Stock Jumps After Unveiling of Next Major AI Chip. It’s Bad News for Rivals. — from barrons.com

On Monday, Nvidia (ticker: NVDA) announced its new H200 Tensor Core GPU. The chip incorporates 141 gigabytes of memory and offers up to 60% to 90% performance improvements versus its current H100 model when used for inference, or generating answers from popular AI models.

From DSC:
The exponential curve seems to be continuing — 60% to 90% performance improvements is a huge boost in performance.

Also relevant/see:


The 5 Best GPTs for Work — from the AI Exchange

Custom GPTs are exploding, and we wanted to highlight our top 5 that we’ve seen so far:

 

Excerpt (emphasis DSC):

For the first time, a physical neural network has successfully been shown to learn and remember “on the fly,” in a way inspired by and similar to how the brain’s neurons work.


Also see:

Nanowire ‘brain’ learns like humans! — from tech.therundown.ai by Rowan Cheung

Excerpt (emphasis DSC):

The Rundown: University of Sydney researchers have created a “brain-like” nanowire network capable of learning and remembering in real-time, similar to that of human brain function.

The details:

  • The nanowire neural network self-organizes into patterns, functioning like the brain’s synapses by responding to electrical currents.
 

Nearly half of CEOs believe that AI not only could—but should—replace their own jobs — from finance.yahoo.com by Orianna Rosa Royle; via Harsh Makadia

Researchers from edX, an education platform for upskilling workers, conducted a survey involving over 1,500 executives and knowledge workers. The findings revealed that nearly half of CEOs believe AI could potentially replace “most” or even all aspects of their own positions.

What’s even more intriguing is that 47% of the surveyed executives not only see the possibility of AI taking over their roles but also view it as a desirable development.

Why? Because they anticipate that AI could rekindle the need for traditional leadership for those who remain.

“Success in the CEO role hinges on effective leadership, and AI can liberate time for this crucial aspect of their role,” Andy Morgan, Head of edX for Business comments on the findings.

“CEOs understand that time saved on routine tasks can stimulate innovation, nurture creativity, and facilitate essential upskilling for their teams, fostering both individual and organizational success,” he adds.

But CEOs already know this: EdX’s research echoed that 79% of executives fear that if they don’t learn how to use AI, they’ll be unprepared for the future of work.

From DSC:
By the way, my first knee-jerk reaction to this was:

WHAT?!?!?!? And this from people who earn WAAAAY more than the average employee, no doubt.

After a chance to calm down a bit, I see that the article does say that CEOs aren’t going anywhere. Ah…ok…got it.


Strange Ways AI Disrupts Business Models, What’s Next For Creativity & Marketing, Some Provocative Data — from .implications.com by Scott Belsky
In this edition, we explore some of the more peculiar ways that AI may change business models as well as recent releases for the world of creativity and marketing.

Time-based business models are liable for disruption via a value-based overhaul of compensation. Today, as most designers, lawyers, and many trades in between continue to charge by the hour, the AL-powered step-function improvements in workflows are liable to shake things up.

In such a world, time-based billing simply won’t work anymore unless the value derived from these services is also compressed by a multiple (unlikely). The classic time-based model of billing for lawyers, designers, consultants, freelancers etc is officially antiquated. So, how might the value be captured in a future where we no longer bill by the hour? …

The worlds of creativity and marketing are rapidly changing – and rapidly coming together

#AI #businessmodels #lawyers #billablehour

It becomes clear that just prompting to get images is a rather elementary use case of AI, compared to the ability to place and move objects, change perspective, adjust lighting, and many other actions using AI.



AlphaFold DB provides open access to over 200 million protein structure predictions to accelerate scientific research. — from

AlphaFold is an AI system developed by DeepMind that predicts a protein’s 3D structure from its amino acid sequence. It regularly achieves accuracy competitive with experiment.


After 25 years of growth for the $68 billion SEO industry, here’s how Google and other tech firms could render it extinct with AI — from fortune.com by Ravi Sen and The Conversation

But one other consequence is that I believe it may destroy the $68 billion search engine optimization industry that companies like Google helped create.

For the past 25 years or so, websites, news outlets, blogs and many others with a URL that wanted to get attention have used search engine optimization, or SEO, to “convince” search engines to share their content as high as possible in the results they provide to readers. This has helped drive traffic to their sites and has also spawned an industry of consultants and marketers who advise on how best to do that.

As an associate professor of information and operations management, I study the economics of e-commerce. I believe the growing use of generative AI will likely make all of that obsolete.


ChatGPT Plus members can upload and analyze files in the latest beta — from theverge.com by Wes Davis
ChatGPT Plus members can also use modes like Browse with Bing without manually switching, letting the chatbot decide when to use them.

OpenAI is rolling out new beta features for ChatGPT Plus members right now. Subscribers have reported that the update includes the ability to upload files and work with them, as well as multimodal support. Basically, users won’t have to select modes like Browse with Bing from the GPT-4 dropdown — it will instead guess what they want based on context.


Google agrees to invest up to $2 billion in OpenAI rival Anthropic — from reuters.com by Krystal Hu

Oct 27 (Reuters) – Alphabet’s (GOOGL.O) Google has agreed to invest up to $2 billion in the artificial intelligence company Anthropic, a spokesperson for the startup said on Friday.

The company has invested $500 million upfront into the OpenAI rival and agreed to add $1.5 billion more over time, the spokesperson said.

Google is already an investor in Anthropic, and the fresh investment would underscore a ramp-up in its efforts to better compete with Microsoft (MSFT.O), a major backer of ChatGPT creator OpenAI, as Big Tech companies race to infuse AI into their applications.


 

 



AI Meets Med School— from insidehighered.com by Lauren Coffey
Adding to academia’s AI embrace, two institutions in the University of Texas system are jointly offering a medical degree paired with a master’s in artificial intelligence.

Doctor AI

The University of Texas at San Antonio has launched a dual-degree program combining medical school with a master’s in artificial intelligence.

Several universities across the nation have begun integrating AI into medical practice. Medical schools at the University of Florida, the University of Illinois, the University of Alabama at Birmingham and Stanford and Harvard Universities all offer variations of a certificate in AI in medicine that is largely geared toward existing professionals.

“I think schools are looking at, ‘How do we integrate and teach the uses of AI?’” Dr. Whelan said. “And in general, when there is an innovation, you want to integrate it into the curriculum at the right pace.”

Speaking of emerging technologies and med school, also see:


Though not necessarily edu-related, this was interesting to me and hopefully will be to some profs and/or students out there:


How to stop AI deepfakes from sinking society — and science — from nature.com by Nicola Jones; via The Neuron
Deceptive videos and images created using generative AI could sway elections, crash stock markets and ruin reputations. Researchers are developing methods to limit their harm.





Exploring the Impact of AI in Education with PowerSchool’s CEO & Chief Product Officer — from michaelbhorn.substack.com by Michael B. Horn

With just under 10 acquisitions in the last 5 years, PowerSchool has been active in transforming itself from a student information systems company to an integrated education company that works across the day and lifecycle of K–12 students and educators. What’s more, the company turned heads in June with its announcement that it was partnering with Microsoft to integrate AI into its PowerSchool Performance Matters and PowerSchool LearningNav products to empower educators in delivering transformative personalized-learning pathways for students.


AI Learning Design Workshop: The Trickiness of AI Bootcamps and the Digital Divide — from eliterate.usby Michael Feldstein

As readers of this series know, I’ve developed a six-session design/build workshop series for learning design teams to create an AI Learning Design Assistant (ALDA). In my last post in this series, I provided an elaborate ChatGPT prompt that can be used as a rapid prototype that everyone can try out and experiment with.1 In this post, I’d like to focus on how to address the challenges of AI literacy effectively and equitably.


Global AI Legislation Tracker— from iapp.org; via Tom Barrett

Countries worldwide are designing and implementing AI governance legislation commensurate to the velocity and variety of proliferating AI-powered technologies. Legislative efforts include the development of comprehensive legislation, focused legislation for specific use cases, and voluntary guidelines and standards.

This tracker identifies legislative policy and related developments in a subset of jurisdictions. It is not globally comprehensive, nor does it include all AI initiatives within each jurisdiction, given the rapid and widespread policymaking in this space. This tracker offers brief commentary on the wider AI context in specific jurisdictions, and lists index rankings provided by Tortoise Media, the first index to benchmark nations on their levels of investment, innovation and implementation of AI.


Diving Deep into AI: Navigating the L&D Landscape — from learningguild.com by Markus Bernhardt

The prospect of AI-powered, tailored, on-demand learning and performance support is exhilarating: It starts with traditional digital learning made into fully adaptive learning experiences, which would adjust to strengths and weaknesses for each individual learner. The possibilities extend all the way through to simulations and augmented reality, an environment to put into practice knowledge and skills, whether as individuals or working in a team simulation. The possibilities are immense.



Learning Lab | ChatGPT in Higher Education: Exploring Use Cases and Designing Prompts — from events.educause.edu; via Robert Gibson on LinkedIn

Part 1: October 16 | 3:00–4:30 p.m. ET
Part 2: October 19 | 3:00–4:30 p.m. ET
Part 3: October 26 | 3:00–4:30 p.m. ET
Part 4: October 30 | 3:00–4:30 p.m. ET


Mapping AI’s Role in Education: Pioneering the Path to the Future — from marketscale.com by Michael B. Horn, Jacob Klein, and Laurence Holt

Welcome to The Future of Education with Michael B. Horn. In this insightful episode, Michael gains perspective on mapping AI’s role in education from Jacob Klein, a Product Consultant at Oko Labs, and Laurence Holt, an Entrepreneur In Residence at the XQ Institute. Together, they peer into the burgeoning world of AI in education, analyzing its potential, risks, and roadmap for integrating it seamlessly into learning environments.


Ten Wild Ways People Are Using ChatGPT’s New Vision Feature — from newsweek.com by Meghan Roos; via Superhuman

Below are 10 creative ways ChatGPT users are making use of this new vision feature.


 

The MIT Press announces the Open Encyclopedia of Cognitive Science, a paradigm shift in open-access reference works — mitpress.mit.edu
The Open Encyclopedia of Cognitive Science will equip readers with essential tools to grapple with the profound implications of cognition and intelligence in today’s society

OECS’s articles will not only establish a shared understanding of foundational concepts, but also showcase cutting-edge debates and introduce core subfields, central concepts, significant phenomena, and key methodologies.

 

 

Partnership with American Journalism Project to support local news — from openai.com; via The Rundown AI
A new $5+ million partnership aims to explore ways the development of artificial intelligence (AI) can support a thriving, innovative local news field, and ensure local news organizations shape the future of this emerging technology.


SEC’s Gensler Warns AI Risks Financial Stability — from bloomberg.com by Lydia Beyoud; via The Brainyacts
SEC on lookout for fraud, conflicts of interest, chair says | Gensler cautions companies touting AI in corporate docs


Per a recent Brainyacts posting:

The recent petition from Kenyan workers who engage in content moderation for OpenAI’s ChatGPT, via the intermediary company Sama, has opened a new discussion in the global legal market. This dialogue surrounds the concept of “harmful and dangerous technology work” and its implications for laws and regulations within the expansive field of AI development and deployment.

The petition, asking for investigations into the working conditions and operations of big tech companies outsourcing services in Kenya, is notable not just for its immediate context but also for the broader legal issues it raises. Central among these is the notion of “harmful and dangerous technology work,” a term that encapsulates the uniquely modern form of labor involved in developing and ensuring the safety of AI systems.

The most junior data labelers, or agents, earned a basic salary of 21,000 Kenyan shillings ($170) per month, with monthly bonuses and commissions for meeting performance targets that could elevate their hourly rate to just $1.44 – a far cry from the $12.50 hourly rate that OpenAI paid Sama for their work. This discrepancy raises crucial questions about the fair distribution of economic benefits in the AI value chain.


How ChatGPT Code Interpreter (And Four Other AI Initiatives) Might Revolutionize Education — from edtechinsiders.substack.com by Phuong Do, Alex Sarlin, and Sarah Morin
And more on Meta’s Llama, education LLMs, the Supreme Court affirmative action ruling, and Byju’s continued unraveling

Let’s put it all together for emphasis. With Code Interpreter by ChatGPT, you can:

  1. Upload any file
  2. Tell ChatGPT what you want to do with it
  3. Receive your instructions translated into Python
  4. Execute the code
  5. Transform the output back into readable language (or visuals, charts, graphs, tables, etc.)
  6. Provide the results (and the underlying Python code)


AI Tools and Links — from Wally Boston

It’s become so difficult to track AI tools as they are revealed. I’ve decided to create a running list of tools as I find out about them.  The list is in alphabetical order even though there are classification systems that I’ve seen others use. Although it’s not good in blogging land to update posts, I’ll change the date every time that I update this list. Please feel free to respond to me with your comments about any of these as well as AI tools that you use that I do not have on the list. I’ll post your comments next to a tool when appropriate. Thanks.


Meet Claude — A helpful new AI assistant — from wondertools.substack.com by Jeremy Caplan
How to make the most of ChatGPT’s new alternative

Claude has surprising capabilities, including a couple you won’t find in the free version of ChatGPT.

Since this new AI bot launched on July 11, I’ve found Claude useful for summarizing long transcripts, clarifying complex writings, and generating lists of ideas and questions. It also helps me put unstructured notes into orderly tables. For some things, I prefer Claude to ChatGPT. Read on for Claude’s strengths and limitations, and ideas for using it creatively.

Claude’s free version allows you to attach documents for analysis. ChatGPT’s doesn’t.


The Next Frontier For Large Language Models Is Biology — from forbes.com by Rob Toews

Large language models like GPT-4 have taken the world by storm thanks to their astonishing command of natural language. Yet the most significant long-term opportunity for LLMs will entail an entirely different type of language: the language of biology.

In the near term, the most compelling opportunity to apply large language models in the life sciences is to design novel proteins.



Seven AI companies agree to safeguards in the US — from bbc.com by Shiona McCallum; via Tom Barrett

Seven leading companies in artificial intelligence have committed to managing risks posed by the tech, the White House has said.

This will include testing the security of AI, and making the results of those tests public.

Representatives from Amazon, Anthropic, Google, Inflection, Meta, Microsoft, and OpenAI joined US President Joe Biden to make the announcement.

 

Female scientists challenge stereotypes | Not the Science Type — from 3M.com
Female scientists challenge stereotypes and blaze paths for future generations in this 3M-produced docuseries

Excerpt:

STEM education has an access issue: let’s change that.

Around the world, people believe the we need more people in STEM careers. Eighty-seven percent of people believe we need to do more to encourage and retain girls in STEM education. At the same time, barriers remain – 73% of people believe underrepresented minorities often lack equal access STEM education.

Not The Science Type gets to the heart of access and gender inequity in STEM education and STEM fields. This four-part docuseries features four female scientists who are challenging stereotypes and confronting gender, racial and age discrimination as they rise to prominence.

Not The Science Type highlights four brilliant minds, showcasing women who break down boundaries within their fields – biology, engineering and science and technology-based applications.
.

Female scientists challenge stereotypes and blaze paths for future generations in this 3M-produced docuseries.

While each woman has taken a different path to pursue scientific excellence, they are bound by the common experience of feeling excluded, or “not the type” in traditionally homogenous fields.

 

These are the most important AI trends, according to top AI experts — from nexxworks.com
Somewhat in the shadow of the (often) overhyped metaverse and Web3 paradigms, AI seems to be developing at great speed. That’s why we asked a group of top AI experts in our network to describe what they think are the most important trends, evolutions and areas of interest of the moment in that domain.

Excerpt:

All of them have different backgrounds and areas of expertise, but some patterns still emerged in their stories, several of them mentioning ethics, the impact on the climate (both positively and negatively), the danger of overhyping, the need for transparency and explainability, interdisciplinary collaborations, robots and the many challenges that still need to be overcome.

But let’s see what they have to say, shall we?

Also relevant/see:

AI IS REVOLUTIONIZING EVERY FIELD AND SCIENCE IS NO EXCEPTION — from dataconomy.com by KEREM GÜLEN

Table of Contents

  • Artificial intelligence in science
    • Artificial intelligence in science: Biology
    • Artificial intelligence in science: Physics
    • Artificial intelligence in science: Chemistry
  • AI in science and research
    • How is AI used in scientific research?
      • Protein structures can be predicted using genetic data
      • Recognizing how climate change affects cities and regions
      • Analyzing astronomical data
  • AI in science examples
    • Interpreting social history with archival data
    • Using satellite images to aid in conservation
    • Understanding complex organic chemistry
  • Conclusion

Also relevant/see:

  • How ‘Responsible AI’ Is Ethically Shaping Our Future — from learningsolutionsmag.com by Markus Bernhardt
    Excerpt:
    The PwC 2022 AI Business Survey finds that “AI success is becoming the rule, not the exception,” and, according to PwC US, published in the 2021 AI Predictions & 2021 Responsible AI Insights Report, “Responsible AI is the leading priority among industry leaders for AI applications in 2021, with emphasis on improving privacy, explainability, bias detection, and governance.”
  • Why you need an AI ethics committee — from enterprisersproject.com by Reid Blackman (requires providing email address to get the article)
 

One of the Biggest Problems in Biology Has Finally Been Solved — from  scientificamerican.com by Tanya Lewis
Google DeepMind CEO Demis Hassabis explains how its AlphaFold AI program predicted the 3-D structure of every known protein

Excerpt:

We had to reengineer things for AlphaFold 2 and put a whole bunch of new ideas in there and also bring onto the team some more specialists—biologists and chemists and biophysicists who worked in protein folding—and combine them with our engineering and machine-learning team.

Were you surprised that AlphaFold was so successful?
Yeah, it was surprising, actually. I think it’s definitely been the hardest thing we’ve done, and I would also say the most complex system we’ve ever built.

 
 

Learning from Our Students: Student Perspectives on Good Teaching — from everylearnereverywhere.org; with thanks to Beth McMurtrie for this resource

Excerpt (emphasis DSC):

Twenty-two students trusted us with their stories and their reflections on good teaching. We honor that trust and hope that instructors who read this document gain as much insight about teaching from the students as we did. While we often write of students in the plural, each one of these students had an individual experience with learning and therefore a unique story to tell about good teaching. The key takeaways from their stories are:

  1. Students want to be recognized as individuals and appreciated in the classroom.
  2. Students want real life in the classroom.
  3. Students want to be treated with respect and trust.

We hope readers will likewise ask their own students, “What do your best instructors do?” and use that feedback to continuously improve their craft as teachers.

Out of 22 students:

active learning and a sense of belonging were the most frequently mentioned items from these 22 students

 

A $500 Million International Project Will Create the Most Detailed Map of the Brain Ever — from singularityhub.com by Edd Gent

Excerpt:

That’s why the National Institutes of Health’s BRAIN Initiative has just announced $500 million in funding over five years for an effort to characterize and map neuronal and other types of cells across the entire human brain. The project will be spearheaded by the Allen Institute in Seattle, but involves collaborations across 17 other institutions in the US, Europe, and Japan.

“These awards will enable researchers to explore the multifaceted characteristics of the more than 200 billion neurons and non-neuronal cells in the human brain at unprecedented detail and scale,” John Ngai, director of the NIH BRAIN Initiative, said in a statement.

From DSC:
The LORD does awesome work. I wonder how many of these scientists and researchers will become believers while doing this project.

Proverbs 27:1

I praise you because I am fearfully and wonderfully made; your works are wonderful, I know that full well.

 
© 2024 | Daniel Christian