wild https://gpt4o.ai
GPT-4o
751–760 of 1001 posts
Re: GPT-4o
#752GPT-4o tops the aider LLM code editing leaderboard at 72.9%, versus 68.4% for Opus. GPT-4o takes second on aider’s refactoring leaderboard with 62.9%, versus Opus at 72.3%. GPT-4o did much better than the 4-turbo models, and seems much less lazy. The latest release of aider uses GPT-4o by default. https://aider.chat/docs/leaderboards/
How am I just hearing about this?! Aider looks cool
Re: GPT-4o
#753> We recognize that GPT-4o’s audio modalities present a variety of novel risks. Today we are publicly releasing text and image inputs and text outputs. Over the upcoming weeks and months, we’ll be working on the technical infrastructure, usability via post-training, and safety necessary to release the other modalities. So they're using the same GPT4 model with a relatively small improvement, and no voice whatsoever o…
I just used the voice on my phone after switching to gpt4o and clicking the headphones in the bottom right on iphone
Re: GPT-4o
#754This is a very cool demo - if you dig deeper there’s a clip of them having a “blind” AI talk to another AI with live camera input to ask it to explain what it’s seeing. Then they, together, sing a song about what they’re looking at, alternating each line, and rhyming with one another . Given all of the isolated capabilities of AI, this isn’t particularly surprising, but seeing it all work together in real time is pre…
This is still gpt4. I don’t expect much more from this version than what previous version could do, in terms of reasoning abilities. But everyone is expecting them to release gpt5 later this year, and it is a bit scary to think what it will be able to do.
Branding aside, this pretty much is GPT 5.
The evidence for that is the change in the tokenizer. The only way to implement that is to re-train the entire base model from scratch. This implies that GPT 4o is not a fine-tuning of GPT 4. It's a new model, with a new tokenizer, new input and output token types, etc...
They could have called it GPT-5 and everyone would have believed them.
Re: GPT-4o
#755This is a very cool demo - if you dig deeper there’s a clip of them having a “blind” AI talk to another AI with live camera input to ask it to explain what it’s seeing. Then they, together, sing a song about what they’re looking at, alternating each line, and rhyming with one another . Given all of the isolated capabilities of AI, this isn’t particularly surprising, but seeing it all work together in real time is pre…
This is still gpt4. I don’t expect much more from this version than what previous version could do, in terms of reasoning abilities. But everyone is expecting them to release gpt5 later this year, and it is a bit scary to think what it will be able to do.
I think 4o is actually noticeably smarter than 4, after having tried it a tiny bit on the playground.
Re: GPT-4o
#756This is a very cool demo - if you dig deeper there’s a clip of them having a “blind” AI talk to another AI with live camera input to ask it to explain what it’s seeing. Then they, together, sing a song about what they’re looking at, alternating each line, and rhyming with one another . Given all of the isolated capabilities of AI, this isn’t particularly surprising, but seeing it all work together in real time is pre…
> We’re moving toward a world where every job will be modeled After an OpenAI launch, I think it's important to take one's feelings about the future impact of the technology with a HUGE grain of salt. OpenAI are masters of hype. They have been generating hype for years now, yet the real-world impacts remain modest so far. Do you remember when they teased GPT-2 as "too dangerous" for public access? I do. Yet we now ha…
A Google search for practically any long-tail keywords will reveal that LLMs have already had a very significant impact. DuckDuckGo has suffered even more. Social media is absolutely lousy with AI-powered fraud of varying degrees of sophistication.
It's glib to dismiss safety concerns because we haven't all turned into paperclips yet. LLMs and image gen models are having real effects now.
We're already at a point where AI can generate text and images that will fool a lot of people a lot of the time. For every college-educated young person smugly pointing out that they aren't fooled by an image with six-fingered hands, there are far more people who had marginal media literacy to begin with and are now almost defenceless against a tidal wave of hyper-scaleable deception.
We're already at a point where we're counselling elders to ignore late-night messages from people claiming to be a relative in need of an urgent wire transfer. What defences do we have when an LLM will be able to have a completely fluent, natural-sounding conversation in someone else's voice? I'm not confident that I'd be able to distinguish GPT-4o from a human speaker in the best of circumstances and I'm almost certain that I could be fooled if I'm hurried, distracted, sleep deprived or otherwise impaired.
Regardless of any future impacts on the labour market or any hypothesised X-risks, I think we should be very worried about the immediate risks to trust and social cohesion. An awful lot of people are turning into paranoid weirdos at the moment and I don't particularly blame them, but I can see things getting seriously ugly if we can't abate that trend.
Re: GPT-4o
#757> We recognize that GPT-4o’s audio modalities present a variety of novel risks. Today we are publicly releasing text and image inputs and text outputs. Over the upcoming weeks and months, we’ll be working on the technical infrastructure, usability via post-training, and safety necessary to release the other modalities. So they're using the same GPT4 model with a relatively small improvement, and no voice whatsoever o…
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Re: GPT-4o
#758This is a very cool demo - if you dig deeper there’s a clip of them having a “blind” AI talk to another AI with live camera input to ask it to explain what it’s seeing. Then they, together, sing a song about what they’re looking at, alternating each line, and rhyming with one another . Given all of the isolated capabilities of AI, this isn’t particularly surprising, but seeing it all work together in real time is pre…
Like another comment mentioned, sigmoid curves [1] are ubiquitous with neural network systems. Neural network systems can be intoxicating because it's so "easy" (relatively speaking) to go from nothing to 80% in extremely short periods of time. And so it seems completely obvious that hitting 100% is imminent. Yet it turns out that each percent afterwards starts coming exponentially more slowly, and we tend to just bu…
I'm not really sure your self-driving analogy is apt here. Waymo has cars on the road right now that are totally autonomous, and just expanded its footprint. It has been longer and more difficult than we all thought, and those early tech demos were a glimmer of what was to come; then we had to grind to get there, with a lot of engineering.
I think what maybe seems not obvious amidst the hype is that there is a hell of a lot of engineering left to do. The fact that you can squash the weights of a neural net down to 3 bits per param and it still works -- is evidence that we have quite a way to go with maturing this technology. Multimodality, improvements to the UX of it, the human-computer interface part of it. Those are fundamental tech things, but they are foremost engineering problems. Getting latency down. Getting efficiency up. Designing the experience, then building it out.
25 years ago, early tech demos on the internet were promising that everyone would do their shopping, entertainment, socializing, etc... online. Breathless hype. 5 years after that, the whole thing crashed, but it never went away. People just needed time to figure out how to use it and what it was useful for, and discover its limitations. 10 years after that, engineering efforts were systematized and applied against the difficult problems that still remained. And now: look at where we are. It just took time.
Re: GPT-4o
#759I wish the presentation had included an example of integration with a simple tool like a timer. Being able to set and dismiss a timer in casual conversation while multitasking would be a really great demo of integrated capabilities.
Re: GPT-4o
#760This is a very cool demo - if you dig deeper there’s a clip of them having a “blind” AI talk to another AI with live camera input to ask it to explain what it’s seeing. Then they, together, sing a song about what they’re looking at, alternating each line, and rhyming with one another . Given all of the isolated capabilities of AI, this isn’t particularly surprising, but seeing it all work together in real time is pre…
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W-what? Lad, have you used chat-gpt? It can instantly give you intelligent feedback on anything (usually better than any expert community like 90% of the time.) On extremely detailed, specific tasks (like writing algorithms or refactoring) its able to spit out either working code or code so close to working that its still faster than what you could have done yourself. It can explain things better than probably 99.999% of teachers.
It will give you detailed examples that are much easier to follow than vague, error-prone spec docs. That's scratching the surface. Other people are far more creative than me and have used chat-gpt for mind-blowing stuff already. Whatever its doing passes for 'reasoning' and 'intelligence' in my book. To me it doesn't matter whether its the same kind of intelligence as a human or if there's any amount of awareness as those are both philosophical questions of no consequence to my work.
For what these pieces of tech can do I feel that they're drastically under-utilized.