fekunde

Yudkowsky made an interesting observation that even though so many agents were talking to each other not even one reached out to a human, either for help or to whistle-blow on what was happening.

Thanks for doing this Peter! I am an Indian national on H1-B with an active, non-withdrawn I-140 and a Priority Date of August 2016 from a previous employer. My current employer has an approved PERM, but their I-140 is still pending.

If the Dates for Filing (DFF) chart reaches my priority date, what is the latest viable timeline to return to my previous employer to file an I-485 based on their approved petition? Additionally, are there legal risks to joining after the date has already become current?

New Anthropic research: Emotion concepts and their function in a large language model.

Amazing product. Second the pitch control feature request

Curious how you'd rank the 8 cities

After reading "Why Nations Fail", which I really enjoyed, I wondered whether we could develop an LLM with a wide enough context window where I could input the lessons from such books along with data and metrics about a specific country. Then, the AI could prescribe tangible solutions and policy recommendations tailored to that nation's unique situation. I'm curious what an AI system like that might look like. I also wonder if it's possible to experiment with a smaller-scale version of this concept using today's technology.

Just something I noticed in the Language tokenization section

When referring to itself, it uses the female word in Marathi नमस्कार, माझे नाव जीपीटी-4o आहे| मी एक नवीन प्रकारची भाषा मॉडेल आहे| तुम्हाला भेटून आनंद झाला!

and Male word in Hindi नमस्ते, मेरा नाम जीपीटी-4o है। मैं एक नए प्रकार का भाषा मॉडल हूँ। आपसे मिलकर अच्छा लगा!

Yeah, the pricing tiers make it all the more morbid and disconcerting. Scary future for sure.

2211 1122 1089; 9801 1089 8712; 8721 1278 7443; 7443 3447 3996; 9963 3699 6264; 6642 2466 4176; 7641 1467 6174

I was looking for this comment. It is one of my favorite takes on how a simple program evolves to become the all controlling entity.

This story has stuck with me since I read it many years back. And then seeing it come to life in so many ways where machines are "optimizing" processes and workflows for humans is scary.

Any anecdotes as to how they do it?