vincentrolfs

Hi all, it seems I discovered a previously unknown relationship between the Collatz conjecture and the (signed) Fibonacci numbers. I would be super grateful for any feedback. Thank you!

that's hilarious!

I agree with your confusion, are we all talking about the same thing?

This sounds like one of these things that are trivially true and yet super useful if you embrace it. Do you have any more reading material about this idea?

I asked ChatGPT to rewrite the original post using your glossary, which worked well:

I've set up my system to use several AI models: the open-source Mixtral-8x7, Dolphin (an uncensored version of Mixtral), GPT-3.5 Turbo (a cost-effective option from OpenAI), and the latest GPT-4 Turbo from OpenAI. I can easily compare their performances in Emacs. Lately, I've noticed that GPT-4 Turbo is starting to outperform Mixtral-8x7, which wasn't the case until recently. However, I'm still waiting for access to Mistral-Medium, a new, more exclusive AI model by Mistral AI.

I just found out that Perplexity, a new search engine competing with Google, is offering free access to Mistral Medium through their partnership. This makes me question Sam Altman, the CEO of OpenAI, and his claims about their technology. Mistral Medium seems superior to GPT-4 Turbo, and if it were expensive to run, Perplexity wouldn't be giving it away.

I'm guessing that Mistral AI could become the next Renaissance Technologies (a hedge fund known for its innovative strategies) of the AI world. Techniques like Direct Preference Optimization, which improves smaller models, along with other advancements like the Alibi Python library for understanding AI models, sliding windows for longer text sequences, and combining multiple models, are now well understood. The real opportunity lies in quickly adapting these new technologies before they become mainstream and affordable.

Big companies are cautious about adopting these new structures, remembering their dependence on Microsoft in the past. They're willing to experiment with AI until it becomes both affordable and easy to use in-house.

It's sad to see the old technology go, but exciting to see the new advancements take its place.