Training AI models doesn't emit that much

Why Are We Using Black Box Models in AI When We Don’t Need To? A Lesson From an Explainable AI Competition · Issue 1.2, Fall 2019

In 2018, a landmark challenge in artificial intelligence (AI) took place, namely, the Explainable Machine Learning Challenge. The goal of the competition was to create a complicated black box model for the dataset and explain how it worked. One team did not follow the rules. Instead of sending in a black box, they created a model that was fully interpretable. This leads to the question of whether the real world of machine learning is similar to the Explainable Machine Learning Challenge, where black box models are used even when they are not needed. We discuss this team’s thought processes during the competition and their implications, which reach far beyond the competition itself.

Why I believe current AI models can really think and understand - Part 1 of 2

How the human mind is different from our conception of it

The AI feedback loop: Researchers warn of 'model collapse' as AI trains on AI-generated content

As a generative AI training model is exposed to more AI-generated data, it performs worse, producing more errors, leading to model collapse.

Are better models better? — Benedict Evans

Every week there’s a better AI model that gives better answers. But a lot of questions don’t have better answers, only ‘right’ answers, and these models can’t do that. So what does ‘better’ mean, how do we manage these things, and should we change what we expect from computers?

I don’t think we are close to “AI scientists”

Today's AI agents are not designed to extract deep insights from new observations.

Anthropic blames dystopian sci-fi for training AI models to act “evil”

But training on "synthetic stories" that model good AI behavior can help.

How Americans see AI impacting human skills; its role in science, matchmaking, religion and more

Majorities don’t want AI to give advice about religion or love. But many say AI should help forecast weather, search for financial crimes, develop medicine and more.

AI is doing something weird to Science

In both good and bad ways, and it won't go away.

Look-ahead Reasoning with a Learned Model in Imperfect Information Games

Test-time reasoning significantly enhances pre-trained AI agents' performance. However, it requires an explicit environment model, often unavailable or overly complex in real-world scenarios....

On AI as model organism for human learning

I've a pretty taste for paradox

Our minds aren’t equipped to handle AI

AI is junk food for the mind: easy, tempting and ultimately very bad for you.

AI Has Ruined the Job Market

Maybe flawed people were better than brute algorithms.

AI Is Forcing Us To Write Good Code

When Best Practices Are Best