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- A TV show with no ending
Read time: 2.5 minutes
Welcome back, superhuman
TV show finales could be the latest thing to be made obsolete by AI, as we stand at the cusp of AI-generated TV shows that never end. But who wants to watch the same TV show forever? And what does it mean for the future of the entertainment industry and how we consume content?
TODAY’S MENU
The Big Insight: AI and the future of content consumption
5 AI tools to supercharge your productivity
AI In Business: How to monetize AI for SaaS, and more
Research: Paralyzed woman ‘speaks’ via digital avatar
AI Tutorial: Inpainting feature in Midjourney
AI-Generated Images: Inappropriate toys for kids
TODAY IN AI & TECH
Moon milestone: India lands its first aircraft on the moon.
Dominating: Nvidia continues its run as the AI boom’s biggest winner with monster earnings last quarter.
What’s that song? YouTube is testing a feature where users hum to identify a song.
Turbocharged: GPT 3.5 Turbo lets developers customize models to perform better for their use cases.
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THE BIG INSIGHT
A never-ending stream of entertainment
AI and the future of the entertainment industry
Still sad about the Friends finale? Angry about how they ended Game of Thrones? Or just plain confused about that weird Sopranos ending?
Well, maybe you’ll never have to deal with the emotional roller coaster of a season finale ever again, as never-ending AI-generated content becomes a reality with each passing day.
AI-generated TV shows and movies aren’t quite here yet. But we’re already getting glimpses of what the future of entertainment will look like:
The latest Indiana Jones movie used AI to de-age Harrison Ford.
Kendrick Lamar used AI to morph his face into different celebrities in this music video.
Marvel used AI to create the opening credits for Secret Invasion.
This TikTok creator is using AI to make himself look like Tom Cruise and he’s generating hundreds of millions of views.
We’re standing on the cusp of artificially generated content that could theoretically never end. According to futurist Sinéad Bovell, "Generative artificial intelligence also means that say we don't want a movie or a series to end. It doesn't have to, you could use AI to continue to generate more episodes and other sequels and have this kind of ongoing storyline."
If we take this logic further, we could also see hyper-personalized content that’s created just for us. Imagine getting an AI generated album from your favourite artist every week. Or a brand new movie starring actors who are no longer alive, like a new romcom with Marylin Monroe and Frank Sinatra.
While this sounds like a compelling proposition for consumers, it’s mostly bad news for actors, writers, and other professionals working in the media industry. Hollywood studios are already investing heavily in generative AI, and many professionals working in the industry are afraid to lose their jobs.
In fact, AI sits at the top of industries looking to increase spending in AI, according to a recent survey:
Source: Lucidworks
But do we really want TV shows that never end? And will we ever watch movies that don’t feature real humans? Only time will tell.
5 AI Tools to Supercharge Your Productivity
Motionshift: Effortlessly produce high-quality 2D and 3D videos and ads without any design skills.
Quicktask: A chrome extension to enhance productivity with AI text highlighting, automation, summarization, and more.
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Bloc: Transform your data into AI chat in minutes with AI powered chat assistant.
AI IN BUSINESS
The latest and greatest AI developments in the business world
Why LLM datasets in enterprise are different
LLMs in enterprise settings vary fundamentally from startup-to-consumer applications. Enterprise projects face different challenges due to unique datasets, which require distinct approaches. Enterprise data often includes closed-domain and specific content and usually has bigger and more diverse sets of data, which often requires a different approach. Read more
Supply chain shortages delay tech sector’s AI bonanza
AI processor shortages are impacting the broader computing market, with tech giants focusing on AI infrastructure. Delays in the supply chain are holding back progress in AI, but growth is expected in the future. Read more
Less noise, better signals: Why XDR and AI are the future of cybersecurity
XDR integrates security, improving signal-to-noise ratio, and 96% of CISOs plan to adopt it. AI strengthens XDR resilience through self-healing endpoints. To protect against weaponized AI attacks, strong XDR defences are needed that focus on securing endpoints. Read more
How any SaaS company can monetize generative AI
SaaS companies are integrating generative AI and LLMs to increase product value. Generating revenue with SaaS requires changing your business model, not just adjusting prices. Usage-based pricing is ideal for generative AI due to variable output sizes and resource consumption. Companies must measure both front-end usage and back-end resource consumption for accurate billing and cost understanding. Read more
Microsoft unveils next-gen AI solutions to boost frontline productivity amid labor challenges
The release includes a Copilot feature, which leverages generative AI for service professionals. The AI-driven Copilot automates redundant tasks, streamlines work order creation, and offers data-driven recommendations. Read more
RESEARCH
Paralyzed woman ‘speaks’ via digital avatar
Image created with Midjourney
In a groundbreaking study conducted by the University of California, researchers from UC San Francisco and UC Berkeley worked together with Edinburgh's Speech Graphics to develop a communication system which enabled a woman paralyzed by stroke to "speak" with the help of a digital avatar that uses brain-computer interface (BCI).
The BCI device recorded electrical signals emitted by the patient's brain, which were then analyzed by an AI system to identify more than 1,000 distinct words. The person can now speak and use a computerized voice that sounds similar to her pre-paralyzed voice. The on-screen character is also getting better at showing emotions without speaking. Read more
AI TUTORIAL
How to use the inpainting feature in Midjourney
Use the prompt below to generate reference image:
a young woman with sunglasses and dark hair, wearing a plain black t-shirt and dark denim jeans with light color background --style raw 
Now, type /settings , press enter and click 'remix mode' from options below.
Select the Vary(Region) option to get a text box in your editor which will allow you to change or modify the prompt for the region. In the example below, we asked it to swap the black t shirt with a pink one.
Here’s the result:
AI-GENERATED IMAGES
Inappropriate toys for kids
Source: u/InkSlinger1983 on Reddit
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