AI Coding Community

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AI Coding Community

AI Coding Community

@ZoneOfCoders

✨ Creating a community where we can learn about new opportunities in AI and AI prompting. 🌍 Join our discord to get real-time doubt-solving and code review!

Присоединился Kasım 2024
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AI Coding Community
AI Coding Community@ZoneOfCoders·
🚀 Join our community Discord server. Dive into AI prompting, get real-time code feedback, and level up your skills with us! Let’s code, learn, and grow together! discord.gg/nybvdhHF
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Tyler
Tyler@TylerDurden·
A guaranteed million dollars. or Coin flip for a billion?
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AI Coding Community
AI Coding Community@ZoneOfCoders·
I think the biggest problem with AI is the data that we are putting into it! In some cases it can be extremely biased! #OpenAI @sama
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Sam Altman
Sam Altman@sama·
the new version of images in chatgpt is still rolling out, so please try again later today if you dont get a great one :)
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AI Coding Community
AI Coding Community@ZoneOfCoders·
Is it just me or do you guys always forget to completely shut down you're personal computers 😂
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AI Coding Community
AI Coding Community@ZoneOfCoders·
🚀 Before diving into AI tools, it's essential to understand machine learning and be mindful of its biases! 🤖🔍
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AI Coding Community
AI Coding Community@ZoneOfCoders·
AI is undeniably cool, but it's crucial to recognize the potential biases that can arise indirectly through machine learning and the datasets that we are using.
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Min Choi
Min Choi@minchoi·
We are cooked. AI Agents are now running multiple mobile work simultaneously 🤯
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OpenAI
OpenAI@OpenAI·
Sora has arrived in the EU and the UK.
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AI Coding Community
AI Coding Community@ZoneOfCoders·
The big thing with 4.5 is it's interactivity with users!
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Andrej Karpathy
Andrej Karpathy@karpathy·
GPT 4.5 + interactive comparison :) Today marks the release of GPT4.5 by OpenAI. I've been looking forward to this for ~2 years, ever since GPT4 was released, because this release offers a qualitative measurement of the slope of improvement you get out of scaling pretraining compute (i.e. simply training a bigger model). Each 0.5 in the version is roughly 10X pretraining compute. Now, recall that GPT1 barely generates coherent text. GPT2 was a confused toy. GPT2.5 was "skipped" straight into GPT3, which was even more interesting. GPT3.5 crossed the threshold where it was enough to actually ship as a product and sparked OpenAI's "ChatGPT moment". And GPT4 in turn also felt better, but I'll say that it definitely felt subtle. I remember being a part of a hackathon trying to find concrete prompts where GPT4 outperformed 3.5. They definitely existed, but clear and concrete "slam dunk" examples were difficult to find. It's that ... everything was just a little bit better but in a diffuse way. The word choice was a bit more creative. Understanding of nuance in the prompt was improved. Analogies made a bit more sense. The model was a little bit funnier. World knowledge and understanding was improved at the edges of rare domains. Hallucinations were a bit less frequent. The vibes were just a bit better. It felt like the water that rises all boats, where everything gets slightly improved by 20%. So it is with that expectation that I went into testing GPT4.5, which I had access to for a few days, and which saw 10X more pretraining compute than GPT4. And I feel like, once again, I'm in the same hackathon 2 years ago. Everything is a little bit better and it's awesome, but also not exactly in ways that are trivial to point to. Still, it is incredible interesting and exciting as another qualitative measurement of a certain slope of capability that comes "for free" from just pretraining a bigger model. Keep in mind that that GPT4.5 was only trained with pretraining, supervised finetuning, and RLHF, so this is not yet a reasoning model. Therefore, this model release does not push forward model capability in cases where reasoning is critical (math, code, etc.). In these cases, training with RL and gaining thinking is incredibly important and works better, even if it is on top of an older base model (e.g. GPT4ish capability or so). The state of the art here remains the full o1. Presumably, OpenAI will now be looking to further train with Reinforcement Learning on top of GPT4.5 model to allow it to think, and push model capability in these domains. HOWEVER. We do actually expect to see an improvement in tasks that are not reasoning heavy, and I would say those are tasks that are more EQ (as opposed to IQ) related and bottlenecked by e.g. world knowledge, creativity, analogy making, general understanding, humor, etc. So these are the tasks that I was most interested in during my vibe checks. So below, I thought it would be fun to highlight 5 funny/amusing prompts that test these capabilities, and to organize them into an interactive "LM Arena Lite" right here on X, using a combination of images and polls in a thread. Sadly X does not allow you to include both an image and a poll in a single post, so I have to alternate posts that give the image (showing the prompt, and two responses one from 4 and one from 4.5), and the poll, where people can vote which one is better. After 8 hours, I'll reveal the identities of which model is which. Let's see what happens :)
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