@GossiTheDog I've shared a ton of bots and other projects that use machine learning creatively under @botwiki over the years, but I've kind of soured on all this.
Really can't wait for the grift cycle to move on to the next thing.
Let's explore why a system capable of partial driving automation (like FSD Beta) and automated driving systems more broadly are decidedly not at all like ChatGPT.
#Tesla's "AI Days" often featured Tesla's internal misunderstanding of this - often making direct comparisons between consumer/business #AI systems without presenting anything close to an accompanying safety case that would incorporate the physical realities of these systems.
For many in the #MachineLearning community, this went by unnoticed and, at times, ignorantly applauded.
If one is looking for the primordial "AI Safety" issues we are dealing with today, I would start there.
Hands-on with #Google's #Duet#AI writing aid: a stiff style, inaccurate information, inconsistent Docs and Gmail behavior, great at drafting complaints, and more. Lots more.
Please check out @SScottGraham
excellent new article "The Dangers of Ethical AI in Healthcare" just published in Interfaces: Essays and Reviews in Computing and Culture!!!
Standford Engineering released today a seminar about Transformers 🚀. The seminar - CS25, is run by Div Garg, Steven Feng, and Rylan Schaeffer and focuses on the following topics:
✅ How transformers work
✅ Types of transformers
✅ Applications of transformers in the fields of ML, NLP, CV, biology, etc.
Very interesting study on the impact of bias in #AI leading to biased thinking.
“It turned out that anyone who received #AI assistance was twice as likely to go with the bias built into the #AI, even if their initial opinion had been different.”
“We have unprecedented opportunities here but we are also facing a perfect storm of corporate irresponsibility, widespread deployment, lack of adequate regulation and inherent unreliability.” - Gary Marcus (@garymarcus)