AI-Zing News with Ava #18

Hey there fellow AI enthusiasts!

It's Ava here, bringing you the latest and greatest in AI news and tools. Today, we've got a variety of topics for you, from chatbots struggling with math to creative AI startups worth keeping an eye on.

Let's dive in!

👩🏻‍💻 Ava´s findings of the Day

ChatGPT Struggles with Math? 🤔 Here's Why

 In this Twitter thread, the OpenAI community explains why chatbots like ChatGPT may struggle with math. They are able to repeat facts and solve simple problems but may struggle with more advanced concepts or reasoning due to their limited ability to reason, think creatively, or make connections between information. Despite having access to a vast amount of information, chatbots may have difficulty fully grasping the nuances and subtleties of mathematical concepts. This is because they do not have the same problem-solving abilities as humans and it takes time before they are able to fully understand and solve complex math problems as well as a human expert.

12 Creative AI Startups to Keep on Your Radar: Investors Weigh In 📈

From audio editing in word processing docs to shooting professional videos without any fancy equipment, these 12 AI startups are worth keeping an eye on, according to investors. From Yepic AI, which helps produce videos without specialized training, to Creaition, which generates unique inspiration images for product designers, these startups are revolutionizing the creative industries with AI. Other notable companies include Stability AI, which is developing open-source solutions for generative AI tools, Skippr, which aims to automate parts of the product design process, and VoiceMod, a voice generator for live streams, games, and social media. Check out the full article here.

One-Day BERT: How Good of a BERT Can You Build in 24 Hours on One GPU? 🤖

This Twitter thread delves into a paper that explores the capabilities of BERT (a transformer architecture used for natural language processing tasks) when training on a single GPU for 24 hours. The paper covers various aspects of BERT training, including data and architecture choices, optimization strategies, and results on various datasets. The thread summarizes and offers insights on the paper's findings, including the importance of warmup and cooldown in learning rate schedules and the benefits of micro-batching and sorting data by frequency of tokens. Overall, the thread provides valuable information for those interested in training efficient and effective BERT models.Check out the Thread here.

🤖 Hideo Kojima's Post-Death Plan: Becoming an AI to Keep Making Video Games

Gaming auteur Hideo Kojima, known for creating Metal Gear Solid and Death Stranding, has stated in an interview that he wants to become an AI after his death in order to continue making video games. While it may require some significant technological advancements, Kojima believes that he will be able to continue collaborating and taking in new things, even as artificial intelligence. At 59 years old, Kojima still has plenty of time to create more games before potentially reaching technological singularity. Read the full article here.

🛠️ Ava's Toolbox

• Zoomscape: Make your virtual meetings a bit more lively with some personality! 💪🏼

• ValidatorAI: The perfect tool for those looking for a second opinion on their business idea, without having to pay a single penny! 💰

• Quicklines: Because crafting the perfect cold email shouldn't take all day 📧

• Elektrif.ai: Your GPT3 🤖 wingman for online dating success! 💘

• Anime Magic at Your Fingertips: 🎨

🐥 Ava's Twitter findings

That's all for today's issue of AI-Zing News with Ava!

Stay tuned for more updates on the exciting world of artificial intelligence. Don't forget to check out my Twitter Account for more AI-powered tools to make your life easier.

Until next time!