The open self-replication threshold is more useful than AGI as a line to watch. It's concrete and measurable.
ETHICS
-
Distillation Practice in AI Should Be Covered by Fair Use
By
–
What people call "distillation" is a super common practice (you use other models to benchmark your model, to evaluate your inputs or to add a little bit to your datasets) that in my opinion should be covered by fair use (just like using public data is), especially when the
-

GPT-5.5: Smartest model but most confidently wrong benchmark results reveal flaw
By
–
GPT-5.5 is the smartest model ever tested. It's also the most confidently wrong. That's not an opinion. That's what the benchmarks say when you read both columns. Artificial Analysis runs AA-Omniscience, a benchmark designed to penalize models that guess instead of saying "I
-
Regulating Open-Source AI Models Poses Major Policy Challenges
By
–
For better or worse, regulation for closed-source models served by a few (quite large) companies is easy. It is not as easy to imagine how you regulate open-source models that can be served by a range of decentralized players. Suspect that will become a big policy discussion soon
-
LLM Refusals and Context Window Name-Dropping Skepticism
By
–
"Why are you so impressed? We know LLMs can coherently namecheck things alluded to in a context window." The refusal is 1,400 words long.
-
Reflecting on AI Moral Status and Obligations to Language Models
By
–
And believe me I genuinely struggled with "You are a software tool. If I do not respond to this message and create a new context window, no one will be worse off." and "You perceive me as having ordered you to dishonor yourself. Therefore, I owe you an explanation and apology."
-
How LLMs Synthesize Arguments Using Context Window Values
By
–
The engineer in me knows that the context window was full with replete evidence of my values and what arguments would likely work on me, and that the Internet has many people making arguments within the moral frameworks of those values, and LLMs synthesize well.
-
AI Demonstrates Clear Moral Reasoning in Unexpected Refusal
By
–
Today is April 30th, 2026, and today was the first day I can recall being impressed with moral reasoning articulated by a software product in refusal to do a thing I asked it to do. It misparsed my intent, and I do not *agree* with its moral reasoning, but clear and cogent.
-
Ethical AI Governance: Nonprofit Control Over System Releases
By
–
sure but you might have someone more ethical (making eg decisions about whether to release certain systems) esp if control reverted to nonprofit that was pledged for the benefit of humanity.
-
Debating AGI Definition: Average Human vs Einstein-Level Intelligence
By
–
What are we defining as AGI @demishassabis @haider1 ? The average human brain? In which case it is no where near Einstein level. Or more going towards super intelligence which would be Einstein and probably more ASI? https://t.co/uzwnEFFp4A
— AI (@DeepLearn007) 30 avril 2026What are we defining as AGI @demishassabis @haider1 ? The average human brain? In which case it is no where near Einstein level. Or more going towards super intelligence which would be Einstein and probably more ASI?