OpenAI o1 for Agents & More AI Use Cases

OpenAI's new o1 models are now available to 100% of ChatGPT Plus and Teams users! I'll show you what you can expect from o1 and how you can use it yourself. I'll also tell you everything you need to know about the new Replit Agents, Google's NotebookLM upgrades, Adobe Firefly Video and more. This is a huge week for AI news you can actually use!

Links:

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Chapters:

0:00 What’s New?
0:55 OpenAI o1
4:29 Replit Agent
8:49 Brilliant
10:16 Illuminate & NotebookLM
13:29 Ask Photos
15:29 Riddle Me This
15:59 Anthropic Workspaces
16:57 Minimax Stop Motion
17:45 AI Video Editing

#ai #news #openai #o1

This video is sponsored by Brilliant.

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[abinpanda]

That YouTube thumbnail felt like open ai official video

[tomasgemes]

I've been using o1 to develop fully automated AI solutions 🔥


Happy to report a modular codebase with over 10 modules ranging from 50 to 400 LOC each.


It still needs some supervision but ffs it works really f'n well.

[hugovitor]

you are my favorite youtuber that covers this type of stuff . keep doing the good work man ❤

[AngelusFlat]

The miniature monsters - I want the monsters! NOW, they are just SOOOO cute.

[iDannyism]

Great video, as always, I genuinely look forward to these.

[jindrichsirucek]

Great idea with switching model when you are not satisfied with 4o 🙏 thx

[henrismith]

Someone explain to me how this isn't AGI yet? My definition of AGI is a system that passes the touring test and is better than the majority of humans at most intellectual tasks. Break it down: artificial check, general check, intelligent (PHD level not enough for you?) check. We have that. What's really exciting is that we got something as powerful as GPT4 by using all the data on the internet, even though the internet is missing a lot of the step-by-step chain of thought internal reasoning that us humans engage in before we learn something for the first time. There was still enough of that data floating around to create the illusion of above average human level reasoning (most of the time, sometimes the illusion breaks). Now they have a model (strawberry) specifically designed to generate this custom data to train the next absolutely massive model which will make existing models look tiny and stupid. That model will be ASI in my opinion. You could argue that the watered down version of strawberry is ASI, just not extreme level ASI. How many humans do you know that have PHD knowledge and reasoning across as many domains as strawberry? I was on the fence earlier this year due to concerns about running out of quality data and needing to rely on synthetic data to train future models. I'm not an expert on AI, so that example of diffusion models degrading due to synthetic data concerned me for a bit. After that, I learned correctly curated synthetic data would work (I strongly suspected it would work better). Now we have proof of that, which is the last bit of evidence I needed to know that ASI is within reach. By the way I find it hilarious that people think strawberry is slow because it doesn't spit out an answer immediately lol.

[matthewwatson]

sorry if this is a silly question, i use chat gpt daily but im not very technical. ive created a couple of gpts that I use for work, can I choose which model the gpt uses? ie 4o or 1o, how do i switch between the 2 when using my gpt

[afterglow]

I tried the one to generate one single file game html+javascript, i asked for a fps with movement and a detailed prompt, and one shot.

I went to ask it some frontier research topic from quantum computing, and decide which promising research use for a novel paper, to explain the math and the steps to achieve the goal to the point to generate a paper and working code.

I know that chatgpt2 did that, however. this was different, like the formulas made sense, the code was functional, the ideas or mixes between disciplines. I think this is the death of the pHD student as we know it.

[therealuth]

Very nice, but I am still waiting for the 4o voice assistant :(

[AlphAI_Enthusiast]

Thanks for the video... The model needs to leverage the thinking fast and slow system 1 vs system 2 frameworks to scale.

Interestingly, came across a custom GPT that is already operating at this level of reasoning? Is this as a result of its custom instructions?

If so, how can this be possible given the limitations inherent to GPT builder?

Highly perplexing... these are certainly interesting times!😅

[cabtainamamr]

I think this frameworks should use chat GPT-o1 for planning and designing the app and use claude 3.5 sonnet to do the actual code because it's just cheaper and better.

[tomasgemes]

I still haven't seen a use case showcasing complex programming projects with over 300 LOC

[tekmepikcha]

What!? I had no idea that Google Notebook had a major upgrade!

[Tshadow-yzgt]

when do yall think we will achive fdvr or really realistic vr

[KevinSanMateo-pl]

When will all the tech be implemented in virtual reality so we can put our minds in different dimensions

[drlordbasil]

I got 2 usages before the full reset, first day used all my stuff then next day got reset usage.

[frank-fw]

someone tell runway to let negative prompts in gen 3 they simply wont listel tell them pls

[erykchmielewski]

Strange, on openrouter I have almost unlimited o1 and o1 mini. Almost because there is some requests per minute cap, 50 or something.

[Nobestudy]

Nobestudy intelligence version one is breakthrough