Unless you're out of the office, checking email, or unplugged for some reason, you've probably heard of and played with one of the many generative artificial intelligence tools. ChatGPT, JasperAI, Merlin, and newcomers from Google Bard and Microsoft's AI version of Bing. These new AI-powered chatbots promise and deliver ready-to-use content or text for README files, blogs, emails, training modules, songs, and more. New use cases emerge every day. Real estate (listing) registration systems are the latest darling of chatbots.
At the start of ChatGPT, the mood quickly went from snickering to trembling and back to snickering. It's clearly a powerful tool, but the application of that power is scary at first. Stories abound of artificially intelligent robots passing law exams, writing college papers and writing trial judgments. As quickly as these stories explode, so too do stories and announcements about tools that can detect and curate AI-generated content. The heated debate over ChatGPT has emerged with a range of positive outcomes, such as revolutionizing digital marketing, and warnings about its failure that the more AI does the writing for us, the less we have to learn and practice the skill. The early days of the technology would continue to be characterized by turmoil and swaying opinions, bouncing back and forth like a swing. Obviously, the next stage of skill development will be how to make the right prompts for chatbots at the very beginning (you can’t get good answers without good questions) and editing at the end.
While most chatbots are not open source, they are based on open source software. In the field of artificial intelligence/machine learning (AI/ML), whether it is Python or PyTorch, or languages such as TensorFlow, Python, or engines such as OpenML, open source plays a prominent role. We can find more and more comprehensive open source projects in the foundation dedicated to artificial intelligence/machine learning (AI/ML) - LF Data & AI Foundation, and of course the newly formed PyTorch Foundation.
The VMware Open Source Management Office (OSPO) team is deeply involved in all aspects of open source projects. How to build trustworthy AI with open source on Diana Atanasova and Teodora Sechkova's blog , take a look at adversarial artificial intelligence, modeling, and ethical and security issues. Enrique Corro of VMware's Office of the CTO explores the ethical principles of AI and machine learning in his blog Why Your Organization Needs a Set of Ethical Principles for AI, saying: "Biased datasets, careless the misuse of artificial intelligence, and the ease with which bad actors can turn AI into a weapon, with dire consequences.” And VMware's research and innovation team through "Project Trinidad combining security and observability of modern applications "Continued advancement of machine learning, and Tanzu and cnvrg.io projects (an open-source AI operating system at its core to change the way companies manage, scale, and accelerate AI and data science development from research to production) empower businesses Level MLOps.
Translator's Note 1: MLOps is DevOps in the machine learning era. Its main function is to connect the model building team with the business and operation and maintenance teams, and establish a standardized model development, deployment and operation and maintenance process, so that enterprise organizations can better use the capabilities of machine learning to promote business growth.
old wine in new bottle
But none of this is really new. Consider TensorFlow and PyTorch, two seminal AI/ML open source projects that have been around for six years, and the term "artificial intelligence" was coined by John McCarthy in the 1950s. Some sources assert that artificial intelligence began as early as the 1940s with the work of Alan Turing and Enigma. So, if AI/ML has been around for a while, why is the pace of innovation suddenly picking up, with tons of new tools and ideas surfacing every day? What ignited the space and allowed it to grow so rapidly? I think it's actually the people of the open source community that got us here and will keep us going, not the giants (Google, IBM, Alibaba... ).
Translator's Note 2: Fear of Missing Out (FOMO: Fear of Missing Out), also known as community panic disorder. Refers to restlessness and persistent anxiety caused by one's own absence. Patients always feel that something very meaningful can happen in their absence.
For fun, I asked a generative AI chatbot to create a poem about open source, and our team volunteered some couplets to add to the ode. The result is this:
Open source software is a gift to us all,
A solution that answers the call of the tech community.
The collaboration of ideas shapes a bright and bright community,
Bringing innovative codes to fit just right.
No more vendor lock-in, no high fees,
A source of empowerment and empowerment for you and me.
A playground to hone your developer skills,
A platform for creativity, where the heartbeat of technology is exciting.
From Linux to Python, from Apache to Ruby,
A world of possibilities awaits us.
Open source software is a friend of all of us,
Her promise to give us freedom has always stood.
But use and advance with caution,
Because a code repository is not the same as completion.
These codes are just the beginning -- a dream in the making.
It's up to you to do it -- it's there waiting for you to get started.
but then you'll put it into production
All kinds of frictional complaints, complaints, and complaints followed.
Installation is a hassle, documentation is a mess...!
Why are these developers not honoring their service level agreements (SLAs)?
All kinds of defects are always hidden deep in your code
If you don't care, trouble is on the way.
So you pay attention and follow the rules,
Otherwise it turns into a nightmare and joy into sorrow.
We stand on the strong and enduring shoulders of all
They inspire us to always be curious and learn.
Teach us tolerance and how to pay respect,
How to tame our egos in the name of the good of all.
So, salute to those programmers who made their pursuit a goal,
Please bring us the best experience and put us to the test.
Every line of code may lead to a better future,
Open source software is a reciprocal pleasure .
In a work, can you find parts created by robots? Can you find the parts created by humans? Or, was it created entirely by humans or entirely by robots? (Pro Tip: When you publish a work created or assisted by an artificial intelligence chatbot, be sure to declare in advance that you are the original creator, or you have borrowed the ability of an artificial intelligence robot. Indicating the correct and complete attribution of the work is a matter of personal integrity key.)
Hidden Superpower: You
One weakness of all these chatbots is the lack of a human touch. To my self-proclaimed "Word Master," the answers were hollow, shallow, and lacking in warmth. Some of the answers and phrasing were quite puzzling. Of course they get better with practice, but right now, I prefer "humanity." The superpower of the written word created by humans is that the human pen provides the artful twists, assigns voice and intonation and natural rhythm, and tailors the composition to capture the moment and mood. Robots can't do that -- not yet, nor should they be expected to.
So what is the superpower of open source? Not the code, but the people who create the code. There is an undeniable energy, a thrill of collaboration and co-discovery. Without people, the concept of an open source community would not exist. Even robots know this. Look again at these sentences from "Ode to Open Source Software":
The collaboration of ideas shapes a bright and bright community,
Bringing innovative codes to fit just right.
So let's celebrate advances in artificial intelligence/machine learning and new chatbots that can help us get started, whether it's creating written words, lyrics, or even basic code components, but it should be just the first step, not The only step. Use with caution and keep your eyes open. Let us not lose sight of those who got us here, stayed here, and showed us the way forward. Power should still belong to us all!
Note: Thanks to ChatGPT, Tim Pepper, Suzanne Ambiel, Ivana Atanasova, and Velichka Atanasova for their contributions to " Ode to Open Source Software" .
Sections 1-3: Authored by ChatGPT
Sections 4-7: Authored by the VMware Open Source Management Office (OSPO) Team
Section 8: Authored by ChatGPT
Suzanne Ambiel
Suzanne is VMware's Director of Open Source Marketing and Strategy. She has been with VMware since 2011 and has seen the company's evolution: from VMware View to vSAN, to now...
Reprinted | Open Source Rainforest
Translation | Liu Tiandong
Editor | Zhang Kexin
Disclaimer: This article is the Chinese translation of the article "Spot the Bot: Or Why We Shouldn't “Hide the Human”” by Suzanne Ambiel.
Original link:
https://blogs.vmware.com/opensource/2023/02/09/spot-the-bot-generative-ai-open-source-community/?utm_source=rss&utm_medium=rss&utm_campaign=spot-the-bot-generative-ai-open-source-community
Translator's Note: Spot the Bot is a game, and the author quotes the name of this game as the title of this article.
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Introduction to Kaiyuanshe
Founded in 2014, Kaiyuan Society is composed of individual members who voluntarily contribute to the cause of open source. It is formed according to the principle of "contribution, consensus, and co-governance". It has always maintained the characteristics of vendor neutrality, public welfare, and non-profit. International integration, community development, project incubation" is an open source community federation with the mission. Kaiyuanshe actively cooperates closely with communities, enterprises and government-related units that support open source. With the vision of "Based in China and Contributing to the World", it aims to create a healthy and sustainable open source ecosystem and promote China's open source community to become an active force in the global open source system. Participation and Contributors.
In 2017, Kaiyuanshe was transformed into an organization composed entirely of individual members, operating with reference to the governance model of top international open source foundations such as ASF. In the past nine years, it has connected tens of thousands of open source people, gathered thousands of community members and volunteers, hundreds of lecturers at home and abroad, and cooperated with hundreds of sponsors, media, and community partners.
