🪄 Unleash Your Inner Creative Genius with This Week's Hottest AI Tools & News

Welcome to AIToolHunter Newsletter, where we fuel your creativity with the hottest AI tools and news.

In this week's edition we're shining the spotlight on 3 brilliant AI tools. Whether you need to repurpose your long form audio content, grow your audience by translating your videos to many languages or discover amazing domain names.

Ready to tap into your creative potential? Make it happen with this week's tool trio.

Let's dive right it!

Castmagic’s New iOS App

Castmagic makes shareable quotes, clips, summaries and posts from long audio instantly. Just upload and get AI-generated highlights all social posts.

The iOS mobile app is now live, giving you the ability to record on the go.

With this feature, you can capture voice notes, in-person meetings, and more to enrich your AI-generated content with Castmagic.

Check out how it works here

Looking for an original domain for your website?

Say hello to DomainsGPT, your domain name generator.

Harnessing the power of AI, this platform provides tailored domain suggestions and real-time availability checks. DomainsGPT makes domain name creation easy.

Want global reach? Make your videos speak new tongues with Clippah.

Meet Clippah, your video translation sidekick. This AI-powered platform makes it easy to dub and translate your videos into multiple languages with just a few clicks.

Say goodbye to high cost translations and hello to global reach.

In the spotlight this week: Sam Altman's commentary on AI relationships.

The OpenAI CEO recently shared his misgivings about emotional bonds with AI during an interview at #WSJTechLive conference.

His perspective highlights an emerging discussion around AI's societal impact. As these technologies advance, how should we view these systems? While some see great potential for AI friendships, Altman leans towards setting boundaries.

👉🏽 A 4-day workweek within reach thanks to AI 💼 (3 min read)
JPMorgan's CEO predicts AI could enable a 3.5-day workweek as automation takes over more tasks. However, Dimon cautions policies must ensure displaced workers can transition to new roles and share in the benefits. Link

👉🏽 Education adopts AI with new Canva tools 📚 (7 min read) 
Canva unveiled new Classroom tools using AI to help teachers quickly create visual lessons and educational content. But it also raises questions around student AI use, while promising to make educators' lives easier, Canva's classroom AI requires thoughtful implementation. Link

👉🏽 Siri gets smart with generative AI in 2023 📱 (2 min read)
Apple is revamping its digital assistant Siri using new generative AI tech as early as next year. The upgrades will allow Siri to understand queries in broader context, answer in more conversational tones, and correct dictation errors on the fly. Link

👉🏽 Friends build AI tool with ChatGPT for $185, sell for $150K 🛠️💰 (2 min read)
Two entrepreneurs used ChatGPT to develop an AI tool called DimeADozen, is an AI-powered tool that assists entrepreneurs to take their business ideas and convert them into detailed reports. In 10 days after launch, it generated over $66K in revenue. The entrepreneurs later sold it for $150K, proving the huge business potential of tools built with today's advanced AI. Link

👉🏽 Meta advances brain-scanning AI 🧠 (2 min read)
Meta created an AI system that decodes images from brainwaves in real time. While still early research, it could someday help those who are paralyzed or can't speak. At the same time it also raises privacy concerns if tech companies can access our private mental worlds. Link

👉🏽 AI tracks virus mutations to stay ahead 🦠 (2 min read) 
Oxford researchers developed an AI model that can predict virus mutations like COVID variants before they emerge. This innovative use of AI to foresee future mutations promises to transform the fight against viruses. Link

How does Machine Learning Actually Work? 🤖 ⚙️

Machine learning is like teaching a computer to understand things by showing it examples. Let's say we want to teach a computer to tell the difference between cats and dogs in pictures. 🐈 🐩

We start by showing the computer lots of cat and dog pictures. 🖼️ It looks at these pictures and notices things like the shape of ears, fur colors, and sizes. These are called "features."

Next, we test the computer by showing it new pictures and asking if they have a cat or a dog. If it's wrong, we tell it the right answer, and it learns from the mistake.

With more practice and more pictures, the computer gets better at guessing. It's like training a puppy to do tricks. 🐶 The computer learns from its experiences and gets really good at telling cats from dogs.

In the end, machine learning is about teaching computers to be smart by showing them examples and helping them learn from those examples. 👩🏻‍🏫

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