NYC Councilwoman-elect Susan Zhuang admitted using AI for constituent and media responses. She justified AI use for deeper understanding and personal growth, citing her "immigrant background and English as a second language."
ETHICS
-
Machine Learning Predictions: Humility Over Overconfidence
By
–
Using Machine Learning for predictive modeling is a humbling experience. You realize how hard it is even when you have the best data and algorithms. And it makes you more circumspect of all the pundits and “experts” who overconfidently shill their predictions as facts.
-
Prioritizing Current AI Solutions Over Long-term Speculation
By
–
I’m with @ylecun and @AndrewYNg on this. I feel it is more responsible to devote greater effort to solving today’s problems (e.g. climate, health, energy, poverty, safety, communication, bias and discrimination, education) than to cultist AI long term speculation.
-
GPT-5 Will Surpass Doctors in Medical Expertise Soon
By
–
One think we shouldn’t forget is how GPT 5 and more will be in a year or so much better than any doctor.
-
Opposing AI R&D Regulation: Access and Safety Debate
By
–
Fight people who want to regulate AI R&D by claiming that it's too dangerous for everyone but them to have access to it.
-
Engineering Over Theory: Building Reliable Systems Without Perfect Proof
By
–
There is no math that proves that there exist a way to make safe and reliable turbojets.
Yet we do make turbojets that are incredibly safe and reliable.
It's called engineering.
You should try it. -
Meta’s Ethical Considerations for AI Product Deployment
By
–
Meta is asking itself this kind of questions literally *every* *single* *time* a product is under consideration for deployment.
-
Turbojet Safety: Engineers’ Responsibility Without External Pressure
By
–
Engineers and scientists who have made turbojets as safe and reliable as they are today haven't specifically worked on "turbojet safety," nor have they been required to "acknowledge there is a problem to be solved" by mobs of random people claiming they weren't doing their job
-
Hypothetical AI Harms Versus Current Realized Harms Imbalance
By
–
In AI, the ratio of attention on hypothetical, future, forms of harm to actual, current, realized forms of harm seems out of whack. Many of the hypothetical forms of harm, like AI "taking over", are based on highly questionable hypotheses about what technology that does not
-
Nuclear Weapons vs AI: Understanding Design Intent Differences
By
–
Nuclear weapons are designed to wipe out entire cities.
AI is designed to amplify human intelligence.
See the difference?
