Best Ways to Use OpenAI o1 and More AI Use Cases

This week brought a lot of exciting news in the AI space! Microsoft introduced Copilot 365 Wave 2, HeyGen released Avatar 3.0, and much more. We’ll also take a look at the use cases of the new OpenAI o1 model.

Links:

's o1 Beats Every AI (and Most Humans) in IQ Test – 15064328

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0:00 What’s New?

0:45 OpenAI o1 Use Cases

8:53 Microsoft 365 Wave 2

14:46 Out of Focus 1.0

15:54 Gen-3 Video2Video

18:38 EVI 2

20:58 AI Haggler

21:53 Youtube AI

23:01 Avatar 3.0

#ai #news

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Joe Lilli
 

  • @ahmadkhaled3676 says:

    First

  • @RobBrogan says:

    I’m curious why GPTs don’t have access to “tools” for solving problems. For example instead of using LLM to do 10-digit math problems, it could just be like “okay I’m going to run this calculator software now, and trust the result from that” and then continue with problem solving after the math has been completed by a classical calculator.

    You kind of mention this with choosing the ideal model for the task, but clearly there are some tasks that don’t need an AI model at all.

    • @aiadvantage says:

      they sort of do with code interpreter but the implementation is far from what it could be. also as you say model switching should be default. i feel like the dev day in 10 days might bring some welcome surprises

    • @nephastgweiz1022 says:

      They used to do that, using Wolfram

  • @rootednomad6096 says:

    if you are an AI enthuiast…this is the community for you.

  • @A-Random-Guy says:

    Honestly, I find a lot of stuff o1 can do, gpt4o can do pretty well too if you know how to use it, like using data analysis and good prompting can make a huge difference in the quality of the results.. (also gpt4o is much cheaper and quite fast so it has this advantage)

    But it’s impressive that o1 is able to do these advanced stuff without any tooling and basic prompting, which makes you think how even better it could be with tooling like vision, data analysis, etc.

    Like o1 being able to make entire applications with basic prompts, without any tooling, and give quality answers is so smart, and makes it so using LLMS like these even more useful.

  • @BobbyTV23 says:

    Weiter so!!!! Danke für den Content.

  • @jamessharkin says:

    That AI Haggler may have some FTC compliance issues. But I am sure this will be figured out eventually 🙂

    • @aiadvantage says:

      true! bit of a nightmare scenario if you imagine 100s of thousands of agents just spam calling every business number imaginable just to get a deal they can then resell 🥲

  • @GringaCR says:

    Not enough hours in a day keeping up with this fast moving ai river; appreciate you and your team’s efforts on our behalf, Igor.

  • @donaldnewell4868 says:

    The AI hype machine will feed you for about one more year. The things it’s moderately useful for such as simple coding, summarization etc. won’t pay for further model development. The real use cases still need a lot of work to be productized,

    • @aiadvantage says:

      Funny thing is that I thought the same thing in december 22… surely we would plateau and real world use would be limited yet here we are experimenting with 120 iq models and voice models that read your emotions. Not saying that all of this is straight up practical but having a seat on the ship that will lead to the discovery of a new continent (*analogy over*) is the privilege of a lifetime.

  • @danielbrown001 says:

    Your channel is seriously the best thing in AI. I try to keep up, but if I’m not checking AI releases 24/7 I end up hopelessly behind and not really knowing how to judge what’s useful or not right now. And other channels are good for talking about the technical aspects or philosophical debates surrounding AI, but not so helpful for “how can I use this TODAY”.

  • @SomogyiCosmin says:

    O1 preview wrote a functional complicated scriptin php that solved hours of work in a ecommerce store with 100k products. 🎉

  • @VisionaryPathway says:

    So are you saying that Claude Sonnet 3.5 consistently creates any 500-600 lines-of-code Python app, COMPLETELY bug-free in one take/shot every single time? Just like o1-preview??

    From what I can tell, if you don’t think o1-preview blows everything out the water with coding, then you’re not using it correctly. Or I just lack declarative & procedural knowledge

  • @ctrian66 says:

    Cau, dobra robota, cely kanal. Sledovat vsetky novinky v LLM svete je pre jednotlivca nemozne 😉

  • @hipotures says:

    IQ scores between 90 and 109 indicate a normal IQ range or average intelligence

  • @amlaaaa479 says:

    I don’t really understand how I can use Out of Focus. Can someone help?

  • @nocifer says:

    Does anyone know if Copilot wave 2 comes bundled with the default Microsoft 365 subscription?

  • @OttoBauta says:

    Amazing info. Thank you.

  • @quaterman1270 says:

    I tried to write PineScript indicator with o1, did not work.
    I tried to use it for a setup of gitlab, runners with nginx as reverse proxy with docker compose, it did not work. This one I could solve with Sonnet in around 1 hour.

    For the pine script I don’t know where the problem was, maybe it is not trained much on pine script
    But for the docker-compose setup, It used the same ports for nginx and gitlab and could not see this by itself, it could not figure out the problem with the ssl certificates and tried to fix it in wrong places like selinux permissions.

    To plan and prepare with o1 and execute with Sonnet makes sense.

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