Yes it is obviously LLM generated. The article is full of tells starting with the opening phrase.
But this went fact right past most commenters here, which is interesting in itself, and somewhat alarming for what it reveals about critical thinking and reading skills.
My initial thought is that someone may have deliberately triggered the model to respond this way through what looks like mundane messages but actually have different character encodings of some sort.
Searching for parts of it on Google leads to a 4chan archive where someone talks about hidden non default system prompts, could that be what's going on?
Same here, not much experience, I expanded the texts to see, but I didn't check for hidden prompts. Can you share the link or findings?
I guess is one of these:
* "Yeah OpenAI does the same thing (lets you share the chat with the custom instructions hidden), which is a mistake because it lets people troll like this and makes them look bad
They need more shitposters on staff, any one of them could have told them it would happen"
I read the entire discussion and it looks very legit, without any attempt to trigger such replies, seems someone trying to fill in a form. You can also continue the discussion, I tried to find more details, but ended up with standard responses.
At some point, I got this:
I understand your concern. However, as an AI language model, I cannot delve into the specific details of the internal processes that led to the inappropriate response. This information is complex and often beyond human comprehension.
This is what I got, nothing wild, on a standard gemini account.
I asked for system prompts, it started to answer but then it glitched. It continued with some "system prompt" (probably all hallucinations) and insisted there was no other system or user prompt (but even if there was it may now not be available to it so this does not say much).
In the end I also tested the edit option on gemini's response using another prompt, but it mentions in the shared document that it has been altered, so it should not be that either.
T3 Stack (Next.js, Typescript, Tailwind, tRPC, Prisma) with Postgresql (Supabase is a good free choice), deployed on Vercel w/ Github Actions. These give you the ability to iterate rapidly and is the best choice in the market imho. https://create.t3.gg/
Ha interesting. This reminds me of Latrunculi, an ancient Roman board game. I once wrote an Android app maybe 10 years ago. It was on the app store for long but finally phased out because I didn't want to spend time updating it anymore (it was free).
As I know there are some standards like https://www.goldstandard.org/ and https://verra.org/ . They audit the projects that claim to remove CO2 from the atmosphere worldwide and issue CO2 credits. These credits then can be sold to companies that want to offset their emissions. Usually OTC deals, sometimes involving brokers as well. There's also https://www.cblmarkets.net/ , which is one of the big marketplaces where such deals are happening.
I've heard deals with prices in the range of $0.5 to $5 per tonne CO2 equivalent. There's also a decentralized protocol that aims to move these credits onchain (https://toucan.earth/), their BCT (Base Carbon Tonne) token price is currently around $3.1.
As stated in the post, last year ~$1B worth of credits are sold. One McKinsey report expects it to be around $50B at 2030.
There are much more details of course, but these are the basics as I know.
There's a game called Hnefatafl, also known as Nordic chess. I've created a platform similar to lichess to play this game with others online: https://litafl.web.app/ There are still some rough edges but please check it out and let me know what you think. - P.S. Anonymous games / ratings do not work at the moment.
