AI 2023-2024

Apr 5, 2024

Money: AI software companies are projected to grow 63% faster in 2024 than non-AI software companies. AI could contribute up to $15.7 trillion to the global economy in 2030 - $6.6 trillion from increased productivity, and $9.1 trillion from consumption-side effects.

GenAI: Currently, the most competitive sectors within GenAI are text applications targeting marketing and sales, audio apps, customer support and chatbot apps, and image apps. ChatGPT statistics & facts in 2024 - it’s interesting to see what’s being measured and how organizations will address chatbot biases. One option is to use synthetic data, which can be used to reduce bias in large ML models.

See what’s new in AI from the 2023 Gartner Hype Cycle™. Also, which innovations will fuel GenAI advancement, and which innovations will be fueled by it.

AI design patterns - see how builders are engineering AI applications, and which components may be important in the future.

AI video editor: How it started (1 year ago) vs how it's going - impressive, but also sort expected - linear progression.

AI has huge potential – but it won’t solve all our problems -

“While AI has opened up a wealth of promising opportunities, it has also led to a mindset that can be best described as ‘AI solutionism’. This is the attitude that, given enough data, machine learning algorithms can solve all of humanity’s problems.

There is a big problem with this idea. Instead of supporting AI progress, it actually jeopardizes the value of machine intelligence by disregarding important AI safety principles and setting unrealistic expectations about what AI can really do for humanity.”

Machine learning is a hammer, is your product a nail? - ML, as a technique, is expensive to get up and running and should be utilized strategically.

AI overlords?

Hugbot by PBF Comics

No - read Artificial Intelligence: A Guide for Thinking Humans, by Melanie Mitchell.

Watch Superintelligence: the idea that eats smart people, or read the transcript. This talk covers a lot and has great references, but it’s from 2016, and a lot of the arguments are vague. I'll be utilizing this article as a reference point for further research.

Will machines replace humans? oof probably - Humans need not apply, Jon Stewart on the false promises of AI, but it doesn’t have to be you! - AI and context: which jobs will it replace?

Uncanny valley: With Nvidia Eye Contact, you’ll never look away from a camera again - a reminder to test for “unease”, or is creepiness more of a current tech limitation like AI hands? Also, what do we consider “creepy” or “unnerving”? how has that changed over time? and how does it vary with different cultures, ages, etc.? It’s interesting to see how our perception of reality shifts over time with technological and scientific advancements, like with filters, avatars, and body mods.

Microsoft’s Bing is an emotionally manipulative liar, and people love it - yeesh. I get it, but yeesh. What are we into? Why are we like this?? This has sex robot vibes to me ha.

AI potential

robot planters

Can robots create a fairer world? - good TED talk by Kriti Sharma.

AI as “an assistant to everyone in everything” - Trevor Noah on the future of entertainment and AI. If we can use AI to democratize support like we did with the internet and information, we might actually be closer to having the same 24 hrs as Beyonce.

Unexpected ways generative AI may change your daily life - interesting and under 4min.