This AI newsletter is all you need #31

Author(s): Towards AI Editorial Team

Originally published on Towards AI.

What happened this week in AI by Louis

Last week has been a busy with new Generative AI developments, particularly with the announcement of ChatGPT’s paid version, which sparked a conversation among users. At the beginning of the month, OpenAI shared a waitlist for users to join their Professional tier with perks on their Discord channel. The upgrade is not yet visible to all users, so it’s likely that it will be released only to certain users or in specific locations. ChatGPT had over a million users within the first six days of its launch, proving that it is here to stay. While the monetization of ChatGPT was inevitable, it could be argued that it is too early to ask users to pay for it.

Announcing our new Video Livestream Content platform for AI content creators.

After the success of our new livestream Events format in our 36,000-member Learn AI Together Discord community, we are very excited to announce our new open platform for AI video and audio content contributors.

At Towards AI we have helped 2,000 different contributors publish blogs focussed on Artificial Intelligence and Machine Learning and to reach our audience of over 360,000 followers on social media. This has helped contributors grow their reputation, reach and audience in the AI community. We are now planning to do the same for livestream video contributors.

Please reach out and pitch us your idea if you’d like to present any AI-related content to our community, whether it is a class, tutorial, paper, reading group, panel discussion, competition, etc. We would love to host it live on our Learn AI Discord. The content will be recorded, 100% owned by you and available for you to distribute on your own Youtube channel or website afterward. So if you are looking for an audience for your high-quality AI video (or audio) content it would be a perfect match. We will include in the Events calendar section of this newsletter (85,000 direct subscribers, 360,000 followers on socials) and include in the Events Calendar of our Learn AI Together Discord (36,000 members).

Hottest News

1. Andrew Ng predicts the next 10 years in AI
   Andrew Ng, a prominent figure in AI, predicts the future of AI by taking a less radical approach. In this report, Andrew shares his understanding of what it takes to make AI work beyond big tech. He also discusses his “data-centric approach” to AI and how it relates to his work with Landing AI (a startup working on facilitating the adoption of AI in manufacturing) and the current state of AI.
2. The Ethics of Artificial Intelligence: Examining the Implications of AI on Society
   Artificial intelligence (AI) is a rapidly growing field that develops computer systems that can perform tasks that require human intelligence, such as understanding natural language, recognizing images, and making decisions. As AI becomes more prevalent, it’s important to consider the ethical implications of this technology, including how to ensure it is used for the benefit of humanity, how to address job displacement, and how to protect privacy.
3. Meet Claude: Anthropic’s Rival to ChatGPT
   An AI startup called Anthropic, co-founded by former employees of OpenAI, has begun testing a new AI assistant named Claude, similar to ChatGPT. The article presents informal comparison findings between Claude and ChatGPT, showing that Claude is a formidable competitor to ChatGPT with improvements in several areas.
4. AI and the future of work: 5 experts on what ChatGPT, DALL-E and other AI tools mean for artists and knowledge workers
   The Conversation gathered insights from five AI researchers about the potential impact of large language models on artists and knowledge workers. The experts acknowledged that the technology is still developing and raises several issues including misinformation and plagiarism, which have an effect on human workers. Read the opinions of all the experts on AI, the future of jobs and the need for governance and credibility.
5. Diversity, Equity and Inclusion in Artificial Intelligence — Let’s Evolve the Narrative!
   Digital transformation has the potential to improve inclusion and equal opportunities for diverse communities, but there is a need to address gaps in representation and the risks of bias in AI development and evaluation, product design, marketing, access to AI and ML training, and the narrative on what a career in this field actually ‘looks like’.

Three 5-minute reads/videos to keep you learning

1. What’s unsolved in generative AI?
   Much has already been written about the emerging generative AI technology and large language models (LLMs). While generative AI has taken the technology world by storm, other important aspects require further experimentation and testing. This article delves into the core terminology and explores unsolved elements in generative AI, such as prompting, governance, and computing.
2. Curated Resources and Trustworthy Experts: The Key Ingredients for Finding Accurate Answers to Technical Questions in the Future
   With new tools like ChatGPT, the ability to distinguish between credible and unreliable sources remains challenging and crucial. This article discusses factors that prevent tools like ChatGPT from replacing traditional search engines and expert knowledge. It also examines the limitations of AI tools in generating responses for technical answers and predicts the necessary ingredients for finding answers in the future.
3. This AI can clone your voice! VALL-E (explained)
   Last year, we witnessed the emergence of generative AI for both images and text. Within the first week of 2023, researchers have created a new system for audio data called VALL-E. It can imitate someone’s voice with only a 3-second recording, achieving higher similarity and speech naturalness than ever before.
4. Generative AI and long-term memory for LLMs
   In this video, YouTuber James Briggs shares in-depth information about generative AI. He covers various aspects, such as the meaning of generative AI, the options for improving the performance of large language models (LLMs), the concept of long-term memory in LLMs, and the use of an OP stack for retrieval-augmented GQA.
5. Caretta (GitHub Repo)
   Caretta is a lightweight, standalone tool that instantly generates a visual network map of the services running in a Kubernetes cluster. It utilizes eBPF to efficiently map all service network interactions and Grafana to query and visualize the collected data.

Enjoy these papers and news summaries? Get a daily recap in your inbox!

The Learn AI Together Community section!

Upcoming Community Events

The Learn AI Together Discord community hosts weekly AI seminars to help the community learn from industry experts, ask questions, and get a deeper insight into the latest research in AI. Join us for free, interactive video sessions hosted live on Discord weekly by attending our upcoming events.

• Towards AI x Whitebox Kaggle competition
  Towards AI has partnered with a new FinTech startup, Whitebox, by Arav Kumar, a member of our community, to host an event where you can display your AI talent. In this upcoming Kaggle competition, you’ll be able to enter your best stock trading strategies and our constituents will help you fund it.
  If you’re interested, please sign up here and we’ll reach out to you via email shortly. The competition will be hosted from February 1st — 8th on Kaggle and the winners can opt in to having their strategy connected to the Alpaca API and funded! Attend Whitebox’s Q&A livestream on our discord this weekend to learn more about the competition! Ask your questions in our form.
  Date & Time: 28th January, 6 pm EST
• The Neural Network Architecture Seminar (#3)
  This is the third session of a (free) nine-part series on Neural Networks Architectures presented by Pablo Duboue (DrDub), covering Structure Learning Networks. Find the link to the seminar here or add it to your calendar here.
  Date & Time: 25th January, 11 pm EST
  If you missed the first part of the series, find last week’s event recordings here.
• LAIT’s Reading Group: The reasons why ML projects fail to deliver value
  Learn AI Together’s weekly reading group offers informative presentations and discussions on the latest developments in AI. It is a great (free) event to learn, ask questions, and interact with community members. Join the upcoming reading group discussion here.
  Date & Time: 28th January, 6 pm EST
  If you missed the last session, find last week’s event recordings here.

Add our Google calendar to see all our free AI events!

Meme of the week!

Featured Community post from the Discord

sparsh.g#3081 created a fun project that allows you to train your AI to play the Asteroids game using neural networks and a genetic algorithm that follows the principles of natural selection to evolve. The project allows you to save the best AI, load it later, or play the game yourself. Try it here and support a fellow community member. Share your feedback and experience in the thread linked here.

AI poll of the week!

TAI Curated section

Article of the week

How ChatGPT Helps You To Automate Machine Learning? by Gencay I.

Machine Learning is an iterative process that helps developers & Data Scientists write an algorithm to make predictions and allow businesses or individuals to make decisions accordingly. ChatGPT, as many of you already know, is the ChatBot that will help humans avoid doing google research and find answers to their questions. This article shows the different uses of ChatGPT, which will help in Machine Learning.

Our must-read articles

AI Anyone Can Understand: Part 10 — Naive Bayes by Andrew Austin

In-Depth Tokenization Methods of 14 NLP libraries with Python Example by Amit Chauhan

Bentoml vs. Fastapi: The Best ML Model Deployment Framework and Why It’s Bentoml by BEXGBoost

If you are interested in publishing with Towards AI, check our guidelines and sign up. We will publish your work to our network if it meets our editorial policies and standards.

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Interested in sharing a job opportunity here? Contact [email protected].

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This AI newsletter is all you need #31 was originally published in Towards AI on Medium, where people are continuing the conversation by highlighting and responding to this story.

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