Live data from Hacker News

GPT-4o

openai.com

401–410 of 1001 posts

Re: GPT-4o

#401

Big questions are (1) when is this going to be rolled out to paid users? (2) what is the remaining benefit of being a paid user if this is rolled out to free users? (3) Biggest concern is will this degrade the paid experience since GPT-4 interactions are already rate limited. Does OpenAI have the hardware to handle this? Edit: according to @gdb this is coming in "weeks" https://twitter.com/gdb/status/1790074041614717…

thanks, I was confused because the top of the page says to try now when you cannot in fact try it at all

i can try it now, but now the voice features i dont think

Re: GPT-4o

#402

I admit I drink the koolaid and love LLMs and their applications. But damn, the way it’s responds in the demo gave me goosebumps in a bad way. Like an uncanny valley instincts kicks in.

You're watching the species be reduced to an LLM.

Hey that LLM is trained on everything we've ever produced, so I wouldn't say we've been "reduced", more like copied. I'll save my self-loathing for when a very low-parameter model can do this.

Re: GPT-4o

#403
This is some I, Robot level stuff. That being said, I still fail to see the real world application of this thing, at least at a scalable affordable cost.

Re: GPT-4o

#404
post #115

The usual critics will quickly point out that LLMs like GPT-4o still have a lot of failure modes and suffer from issues that remain unresolved. They will point out that we're reaping diminishing returns from Transformers. They will question the absence of a "GPT-5" model. And so on -- blah, blah, blah, stochastic parrots, blah, blah, blah. Ignore the critics. Watch the demos. Play with it. This stuff feels magical .…

[deleted]

Re: GPT-4o

#405

Big questions are (1) when is this going to be rolled out to paid users? (2) what is the remaining benefit of being a paid user if this is rolled out to free users? (3) Biggest concern is will this degrade the paid experience since GPT-4 interactions are already rate limited. Does OpenAI have the hardware to handle this? Edit: according to @gdb this is coming in "weeks" https://twitter.com/gdb/status/1790074041614717…

thanks, I was confused because the top of the page says to try now when you cannot in fact try it at all

You can use GPT-4o now but the interactive voice mode of using it (as demoed today) releases in a few weeks.

Re: GPT-4o

#406
post #115

The usual critics will quickly point out that LLMs like GPT-4o still have a lot of failure modes and suffer from issues that remain unresolved. They will point out that we're reaping diminishing returns from Transformers. They will question the absence of a "GPT-5" model. And so on -- blah, blah, blah, stochastic parrots, blah, blah, blah. Ignore the critics. Watch the demos. Play with it. This stuff feels magical .…

The demos seem quite boring to me

Re: GPT-4o

#407
The thing that creeps me out is that when we hook this up as the new Siri or whatever, the new LLM training data will no longer be WWW-text+images+youtube etc but rather billions of private human conversations and direct smartphone camera observations of the world.

There is no way that kind of training data will be accessible to anyone outside a handful of companies.

Re: GPT-4o

#408
I opened ChatGPT and I already have access to the model.

GPT4 was a little lazy and very slow the last few days and this 4o model blows it out of the water regarding speed and following my instructions to give me the full code not a snippet that changed.

I think it’s a nice upgrade.

Re: GPT-4o

#409

This thing continues to stress my skepticism for AI scaling laws and the broad AI semiconductor capex spending. 1- OpenAI is still working in GPT-4-level models. More than 14 months after the launch of GPT-4 and after more than $10B in capital raised. 2- The rhythm that token prices are collapsing is bizarre. Now a (bit) better model for 50% of the price. How people seriously expect these foundational model companies…

>How people seriously expect these foundational model companies to make substantial revenue?

My take on this common question is that we haven't even begun to realize the immense scale of which we will need AI in all sorts of products, from consumer to enterprise. We will look back on the cost of tokens now (even at 50% of price a year or so ago) and look at it with the same bewilderment of "having a computer in your pocket" compared to mainframes from 50 years ago.

For AI to be truly useful at the consumer level, we'll need specialized mobile hardware that operates on a far greater scale of tokens and speed than anything we're seeing/trying now.

Think "always-on AI" rather than "on-demand".

Post reply on HN