advaith08

The custom instructions to the model say:

"Please note that this is similar but not identical to the antArtifact syntax which is used for Artifacts; sorry for the ambiguity."

They seem to be apologizing to the model in the system prompt?? This is so intriguing

Agree. I think a more core issue here is that only 1 person needed to be convinced in order to push malware into xz

The dehydrate comment is a reference to the three body problem - a great book!

fully agree with this. Plus, if you're worried about "promotion competitiveness" souring friendships with people in your team, you can always make friends with people in other departments and meet them during lunch. This doesnt have to be a hard binary rule

seen a lot of these, but none for Indian languages. Would love to try an Indian language one!

I think the point of the comparison with chess is to show what happens when AI becomes vastly better than humans at something. GPT4 is not vastly better than humans at coding, but the author is using chess as an analogy to visualize what the world might look like if these GPTs continue to get better

Location: Bay Area, SF Remote: No Willing to relocate: Yes Technologies: Pytorch, Python, NLP, CV, LLMs Résumé/CV: https://drive.google.com/file/d/1Ac_zraUpg4MAojQekE_XSNEfhs4... Email: advaith@cmu.edu

agree with this. in their new values, they literally use the same words that were in the old ones ("unpretentious", "collaboration"). I also dont think this is a change "at the drop of a hat" as the article suggests - OpenAI's been through a major inflection point with GPT3.5/4, and the company's not the same one it was a few years ago. It makes sense to make updates to the company's core values

imo they dont have batching because they pack sequences before passing through the model. so a single sequence in a batch on OpenAI might have requests from multiple customers in it

Oh my apologies, this is Llama 2! Im using Llama 2 7b chat here, not the original Llama

yeah I think there are a lot of use cases for an assistant trained on your chat history. Given how privacy sensitive this use case is, I think maybe Apple is the best suited to build something like this? Hope they come out with something cool

Very cool. I like the introspection bit, I've realised quite a bit about my texting style from talking to Llama too. I think Im also very "type first and think later" on WhatsApp

here's how you can export your chat history: https://faq.whatsapp.com/1180414079177245/?cms_platform=andr...

wow thats cool! Do you have the code put out somewhere?

Yeah, this is definitely a dicey ethical question. Would be interested to know what guardrails you're considering for these digital avatars, and how you'll ensure that people use them in a healthy manner and dont get dependent on them.

Thank you, Ill check it out!

Yeah, this can be extended to create a "simulation game" of us and our friends. This paper (Interactive Simulacra of Human Behaviour https://arxiv.org/abs/2304.03442 ) has a setup on how we could create a Sims game with us as the characters

Yeah I wondered if few shot prompting would yield better results than finetuning. For the amount of finetuning I've done (1 epoch, 7B model with 4 bit quantization), I think it might be comparable. But if we scale this to a bigger model and longer training times, I think finetuning should produce much better results. Hoping someone with access to compute will try it out and update us!

Hahaha a friend told me this but I havent watched SV. Will do so immediately

oh yeah definitely. Do you know how I can get access to one for cheap though? I burnt through $150 just on this exercise with a P100 on GCP