OpenAI o1 for Agents & More Use Cases
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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
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Děkuji za skvělou práci🔥
when do yall think we will achive fdvr or really realistic vr
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.
That YouTube thumbnail felt like open ai official video
Omg I actually thought this too
What!? I had no idea that Google Notebook had a major upgrade!
When will all the tech be implemented in virtual reality so we can put our minds in different dimensions
We need big advances in several disciplines before full dive VR:
Neuralink (for brain/computer interfacing)
+ Fusion Energy (to power all of this advanced technology)
+ Quantum Computing (classical computing can’t simulate real-time Quantum phenomena)
+ Nanotechnology (to monitor and negate any negative effects to our physical bodies, when our brains are fooled, e.g., so that falling off a cliff in full dive VR won’t give your real body a heart attack).
+ AI (to power all of the NPCs and plot lines of whatever situation you request). This is probably the tech that we’re actually closest to achieving.
What’s the difference between thinking and slow response?
Very nice, but I am still waiting for the 4o voice assistant 🙁
Who cares. The stupid voice assistant won‘t solve science problems.
I’m super curious how you guys who keep crying about voice assistant get through life. This is a super intensive, incredibly complicated, breakneck industry at the moment. Fricking chill, learn what you can, use what you can, and enjoy the features as they come out. It’s super weird that you’re this stuck on thing thing.
Thank you for the great video!
Martin Deborah Gonzalez Steven Allen Kenneth
Sorry but o1 only is impressive when you test like it is some tool. The reasoning bs takes too long and it still sucks horribly in real world intelligence, not riddles and math and science. In fact it literally acted like an idiot and I could not even use it for more than 5 min, which was only good for like 5 prompts since it took so long just to say a stupid answer. They still got a LOOOONG ways to go… I guess I will just have to cerate the real one myself… stay tuned….
Crushing the recon for us
Devin is a scam which has been proven to not be real, wish OpenAi did their research before letting them be added on their YouTube
1o is way too expensive for the use cases you talk about
Great information thanks
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.
Great video, as always, I genuinely look forward to these.
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!😅