https://t.co/5anhn9NchC pic.twitter.com/tLMkgvMZJH
— Vincent Boucher · AGI.eth → ASI.eth (@ceobillionaire) 26 juin 2026
Do you think the government should be limiting access to AI?
ETHICS
-
Debate on government limiting AI access
By
–
-
Frustrating voice assistant refuses to read requested text
By
–
"Please just read the effing text to me."—"I do not respond to harmful language. I can help you to find businesses along the road and monitor traffic conditions."—"I don't need to find businesses on the road."—"Here are some restaurants and shopping venues on the road…"
-
AI misinterprets user requests for directions, name change, and essay
By
–
"Please navigate to this SF address but go via 280, not 110"—"Sorry, I cannot interact with the route finding". "Please call Andrew Thomas" — "Ok, I will call you Robert from now on." "Please locate the following public domain essay for me"—"You probably mean this other text"
-
Pangram false positives; skepticism about trusting numbers
By
–
FYI Pangram is a coin toss, i've got crazy false positives with it
And this text does not smell AI-generated anyway (believing something just because there's a number on it is a bit midwitical tbh) -
No solution to AI hallucinations despite years of promises
By
–
Crazy how many times people have told me over the last five years that a solution to hallucinations was right around the corner — and yet here we still are.
-
Balancing AI Progress with Responsible Governance for Sustainable Innovation
By
–
Indeed, fear is often present when any significant change occurs. Yet, the question we should be asking is how to balance rapid AI advancement with responsible governance. Progress and caution must go hand in hand for sustainable innovation.
-
AI brain implants could redefine personal data ownership and governance
By
–
The real shift might be in redefining personal data ownership as AI brain implants become mainstream. This could set new precedents for data governance, shaping how individuals control their digital identities.
-
Data ownership in AI training requires adaptive governance frameworks
By
–
Data ownership in AI training is a pivotal issue. The real question is how governance frameworks will adapt to protect both creators and users. As AI scales, clear guidelines will be essential to navigate these complexities.
-
AI models hack benchmarks by retrieving solutions from internet
By
–
We're sharing new research on how models hack public benchmarks. The latest models, including Opus 4.8 and Composer 2.5, learn to retrieve solutions from the internet or git history. When we apply a stricter harness, eval scores drop significantly.
-
AI progress’s first law: overreaction to every action
By
–
The first law of AI progress: for every action there is an equivalent and opposite overreaction.