Brian Risk’s Post

What is 'o' in GPT-4o In GPT-4o — the "o" stands for omni -- combines voice, text and vision into a single model, allowing it to be faster than its predecessor. The company said that the new model is two times faster and significantly more efficient. Can't wait to see what we can do with FLO once we get familiarized with the API's new features. What are you planning to build with it? https://lnkd.in/gVHH7QzQ

Introducing GPT-4o (“omni”) Available to all users, including API users. This version takes the voice capabilities to a next level, together with vision abilities and a desktop version. #generativeai

After what has felt like a pause in the breathless pace of LLMs, stand by for the next explosion. The demonstrated power of GPT-4o is completely insane. Instant video understanding, seamless conversations, and real time translation. All standard with the free version. Now if only they could make the assistant less obsequious... (Also if you are 'bringing AI to the world, why do you always start with the MAC desktop version?!) https://lnkd.in/ebNEYxVc

GPT-4o can harmonize with itself.

How fast can you produce a working game using #genAI? It took me less than a minute to produce minesweeper. Everything is on this page. Time taken = [write prompt] + [wait for GPT output] + [check output] + [copy & paste code] + [run code] = 28 + 11 + 15 + 3 + 2 = 59 seconds 🤯

Ok, GPT 4o was the im-also-a-good-gpt2-chatbot hah! I've been lowkey staying on LMSys just to keep using this version of gpt because the output was really good. Link to tweet: https://lnkd.in/e-bzVGKN Link to openai: https://lnkd.in/eqZQEf4j

granite-20b-code outperforming gpt-4 on bird benchmark: https://lnkd.in/dYNPbU7u

This live demo of GPT-4o is incredible: The text-to-speech is miles ahead of ElevenLabs.io https://lnkd.in/gXH8u475

LLMs do not "think". The example in the picture is a try on GPT-4o from yesterday. I used a prompt that is reported as a fail for GPT3. The new model can surf the web and got much more parameters and training. Still in its final judgements it shows that it inherently has no intuition on the nonsense and semantic meaning of the inquiry. Because of this, it takes a lot of twists and turns to make LLMs mimicking real humans. In this article I am discussing the advanced pre-work it needs to get a workable digital twin of your customers. https://lnkd.in/eWfhkNPN #digitaltwin #customerinsights #causalai

How are you using AI in your business?