February 28, 2023

the downside

How AI is making us more boring and less creative

FAST COMPANY, 02/28/23. The impact of AI on human behavior is undeniable. While it has made certain decision-making processes more efficient, it has also constrained our range of behaviors to repetitive, automaton-like activities.

This reduction in complexity as a species has led us to rely heavily on AI for decision-making, resulting in a loss of the mental stimulation that comes with having too many choices. We must consider how we are using the time that AI frees up, as we may be missing out on the chance to infuse spark, richness, and randomness into our lives.

Instead of optimizing our lives for AI, we should aim to grow beyond the predictable creatures co-opted by AI and develop our true selves beyond what machines can predict.

In the future, we may even take pleasure in “fooling AI” by reducing its accuracy and recommendations, allowing us to explore and expand our identities and experiences. READ MORE

regualation

Hey, AI hucksters. Dial down the hype. Lots of love, the FTC

The Register, 02/28/23. The US Federal Trade Commission has recently issued a warning to businesses about exaggerating the role or capabilities of artificial intelligence (AI) in their products.

The FTC has noted that AI has become a hot marketing term and that some advertisers may overuse and abuse it. False or unsubstantiated claims about a product’s efficacy are the agency’s bread and butter for enforcement purposes.

The FTC has been taming AI excess by issuing guidance and calling for the development of a legal framework to ensure AI tools do no harm. While the FTC’s reputation for toothlessness in privacy enforcement, the agency may find it easier to keep marketers honest under its consumer protection mandate than in antitrust enforcement. READ MORE

future

Active learning is the future of generative AI: Here’s how to leverage it

TechCrunch, 02/28/23. The accessibility of generative AI models is still limited due to the significant processing power they require. Meanwhile, application-layer AI, which is more widespread, faces challenges in data labeling and deployment to production environments.

The AI production gap is a significant issue, as there are often problems with robustness, reliability, and maintainability that prevent AI from being more useful.

Active learning is a crucial tool for closing the prototype-production gap and increasing model reliability. It is an iterative process that improves model performance by using uncertainty to determine which data to train on next. READ MORE

elon Musk

Elon Musk Is Looking Into Creating an AI Alternative to ChatGPT

GIZMODO, 02/28/23. Elon Musk is reportedly in discussions with AI researchers to establish a new lab that would challenge OpenAI, an AI research company he co-founded but is no longer involved with. The lab’s goal is to create an alternative to OpenAI’s viral chatbot, ChatGPT.

The project is still in its early stages, and it is uncertain if Igor Babuschkin, a recently departed DeepMind AI researcher, will join the lab.

Musk criticized OpenAI in December 2022 for “training AI to be woke” and expressed displeasure at OpenAI’s partnership with Microsoft in February 2023. Musk’s new distraction is seen as bad news for his other companies, particularly Tesla. READ MORE

healthcare

AI can’t write this: 10 ways to AI-proof your content for years to come

Search Engine Land, 02/28/23. Despite the hype around AI and its potential to revolutionize content creation, there are still several areas where AI falls short.

There are multiple ways to “AI-proof” your content for years to come. One is creating nuanced content that requires subjective input from human experts. Another is creating mixed media content that incorporates images, videos, and data visualization. Also, humans are better at crafting content that appeals to emotions and has a personal touch.

By focusing on these areas, content creators can ensure that their work remains valuable and engaging. READ MORE