We live in a world where the outpour of information far outpaces the rate at which we can ingest them. Thus, it’s natural for us to want to figure out which topics keep getting brought up so we can pick and choose: and for the past couple of years, “AI”, “NFT”, “Blockchain”, and “Metaverse” have been hogging the spotlight. But starting 2H of 2022, the coolest kid on the block was “Generative AI”.
What Is “Generative AI”?
Recent advancements in Generative AI is characterized by two things:
- a highly advanced model of an unprecedented size
- a training dataset of an unprecedented size.
Contrary to popular belief, or what its name suggests, generative AI does not create original piece of work. It’s just a really, really big, smart brain that’s seen a whole lot of information, so it’s able to piece together things that are seemingly new. It’s not a new tech or a concept – but the sheer quantity of knowledge that it’s being trained on and the size and quality of the model itself is unparalleled to any AI model of the past.
So Why Is This a Big Issue?
Artificial Intelligence is used in many areas of our lives, from choosing our future dates and suggesting our next meals to predicting tomorrow’s weather and helping us catch criminals. It was great at sifting through large quantities of raw data and coming up with logical conjectures, but not at creativity – the domain was left for the human mind only.
But maybe not so anymore.
Tools like DALL-E 2, which creates original images based on a text-prompt, Jasper & Copy.AI, which conjure up original blog content based on a few simple text-prompts, and Mubert, which produces music from text-prompts, are some of the major ones coming into play. Of course, human adjustment and intervention is still quite necessary, but these tools are definitely rising to the challenge, and will help both individual and business content creators cut production time and cost by a large margin.
I’d venture to say, we are nearing the tipping point where AI can actually make an impact in many people’s daily work.
The Base10 Generative AI Trend Map
2022 was rough for everyone – COVID, Russia’s invasion of Ukraine, cryptocurrency market taking a big hit, and massive layoffs coupled with inflation. Startups’ valuations were being cut left and right, and investments were freezing up. Still, if you stick to your vision and march on, people notice.
One such example was Jasper AI, an AI content writing app that I mentioned above, who raised a $125M raise in the summer. Their success in the macroeconomic downturn generated quite a buzz, and when Base10, a prominent Silicon Valley VC, issued their mission-critical generative AI Trend Map last week, LOVO made it in the list for “Text to Speech” sector.
What’s On the Horizon?
As AI tools evolve, there will be more overlap, and areas of cooperation will increase. Whereas a content creator may have had to jump among numerous products to get one content out before, they may now only need a couple, or even just one where they can plug and play everything they need. This convergence of industries will speed up the work process and help the automation of content creation as well. This is why LOVO is not just looking at Speech Synthesis as a stand-alone service but looking to building out a more comprehensive content creation platform that can integrate seamlessly with any number of content generation tools.
SaaS products have learned that they are more powerful when coupled with partners – this will be true for AI as well.
Generative AI will bring the AI adoption, application, and integration to a whole new level, and it’s only just begun. Kickstart your AI content generation journey with Genny now!
Check out these blogs you might be interested in:
– Top 10 Text to Speech Tools to Help You Create Enthralling Content
– 7 Essential Qualities of a Good Text to Speech Platform