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OpenAI prepares to launch GPT-5 in August

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Re: OpenAI prepares to launch GPT-5 in August

#31

Post by cheeze »

pmdr wrote: post #11

What's the point of this article besides free propaganda? It seems to me like every other AI shop except for OpenAI and possibly Anthropic only gets mentioned once they actually release something.

For OpenAI at least, it's obvious. They are considered the industry leader at this point and are the most widely used LLM that folks are aware of (arguably, Google's 'in search' summarization is the most widely used).

People get excited on an update in such a rapidly changing space. It really is that simple.

Re: OpenAI prepares to launch GPT-5 in August

#32

Post by SiempreViernes »

empath75 wrote: post #19
WhatsName wrote: post #5

If it were any good I would assume there would be no need to hype it up. My theory is that LLMs will get commoditized within the next year. The edge that OpenAI had over the competition is arguably lost. If the trend continues we will be looking at inference like commodity prices, where the most efficient like cerebras and groq will be the only ones actually making money at the end.

> If it were any good I would assume there would be no need to hype it up. Yes, this is why apple famously just dumped the original iphone on the market without telling anybody about it ahead of time.

With this comparison you are saying the original Iphone was like version 6 of an well established line of products in a market that had seen major releases a few times a year for about three years.

That's certainly not how the first iphone is usually described.

Re: OpenAI prepares to launch GPT-5 in August

#33

Post by alex1138 »

bgribble wrote: post #29
andrewstuart wrote: post #21

There’s so much work to be done developing coding related tools that integrate AI and traditional coding analysis and debugging tools. Also programming needs to be redesigned from the ground up as LLM first.

I am still skeptical about the value of LLM as coding helper in 2025. I have not dedicated myself to an "AI first" workflow so maybe I am just doing it wrong. The most positive metaphor I have heard about why LLM coding assistance is so great is that it's like having a hard-working junior dev that does whatever you want and doesn't waste time reading HN. You still have to check the work, there will be some bad decisi…

I don't know how they get their sources, but it would be nice if it was directly from coding documentation (and not random stackoverflow answers) and if those guides were I don't know, more machine readable? (That's not a passive aggressive use of question marks, I'm genuinely just guessing here)

Re: OpenAI prepares to launch GPT-5 in August

#34

Post by runako »

janalsncm wrote: post #12
infecto wrote: post #7

Earlier quoted context omitted.

At the moment most of the dollars are coming from consumer, inclusive of business, subscriptions. That’s where the valuations are getting pegged and most API dollars are probably seen as experimental. The model quality matters but product experience is what is driving revenue. In that sense OpenAI is doing quite well.

If that is the case, the $300 billion question is whether someone can create a product experience that is as good as OpenAI’s. In my mind there are really three dimensions they can differentiate on: cost, speed, and quality. Cost is hard because they’re already losing money. Speed is hard because differentiation would require better hardware (more capex). For many tasks, perhaps even a majority right now, quality of…

> three dimensions they can differentiate on: cost, speed, and quality

The fourth dimension is likely to be the most powerful of the differentiators: specificity.

Think Cursor or Lovable, but tailored for other industries.

There's a weird thing where engineers tend to be highly paid, but people who employ engineers are hesitant to spend highly on tools to make their engineers more productive. Hence all Cursor's magic only gets its base price to ~50% of Intercom's entry-level fee for a tool for people who do customer support.

LLMs applied to high-value industries outside of tech are going to be a big differentiator. And the companies that build such solutions will not have the giant costs associated with building the next foundation model, or potentially operating any models at all.

Re: OpenAI prepares to launch GPT-5 in August

#35

Post by SiempreViernes »

amohn9 wrote: post #18
MaxfordAndSons wrote: post #10

> Altman decided to let GPT-5 take a stab at a question he didn’t understand. “I put it in the model, this is GPT-5, and it answered it perfectly,” Altman said. If he didn't understand the question how could he know the model answered it perfectly ?

This statement is definitely just marketing hype, but if we're being pedantic there are tons of questions that are hard to answer but have easy to verify solutions, e.g. all NP-complete problems.

No, that is being generous towards marketing hype.

If we are being pedantic we could never accept "question we don't know how to answer" as a possible interpretation of "question we don't understand".

Re: OpenAI prepares to launch GPT-5 in August

#37

Post by joshstrange »

OutOfHere wrote: post #22

OpenAI promises too much and delivers too little. It promised "Agent mode" and "Study and learn", but I have neither despite paying for the service. I get the impression that OpenAI will rename what's intended as o4 to gpt-5 and package it as such.

I will die on this hill.

Nothing annoys me more than OpenAI acting like something is rolling out (or rolled out already) and then taking forever to do so.

> ChatGPT agent starts rolling out today to Pro, Plus, and Team; Pro will get access by the end of day, while Plus and Team users will get access over the next few days.

"Next few days" - It's 8 days later (so far). Lest one think "It's only 8 days, geez, calm down": They do this _all the time_. I don't even remember the length of the gap between announcing the enhanced voices and then forgetting about it completely before it finally rolled out.

It sours every announcement they make in my opinion.

Re: OpenAI prepares to launch GPT-5 in August

#38

Post by kifler »

OutOfHere wrote: post #22

OpenAI promises too much and delivers too little. It promised "Agent mode" and "Study and learn", but I have neither despite paying for the service. I get the impression that OpenAI will rename what's intended as o4 to gpt-5 and package it as such.

For what it's worth, I had Agent Mode deployed to my account earlier this morning.

Re: OpenAI prepares to launch GPT-5 in August

#39

Post by evandena »

pizzalife wrote: post #30
moojacob wrote: post #28

Earlier quoted context omitted.

They already are. I have been using Kimi k2. It is 90% as good as Sonnet and on Groq 3x faster and 1/5th the price.

What kind of GPU setup are you using for Kimi?

Sounds like he's using it on Groq, no self hosting.

Re: OpenAI prepares to launch GPT-5 in August

#40

Post by mixologic »

bgribble wrote: post #29
andrewstuart wrote: post #21

There’s so much work to be done developing coding related tools that integrate AI and traditional coding analysis and debugging tools. Also programming needs to be redesigned from the ground up as LLM first.

I am still skeptical about the value of LLM as coding helper in 2025. I have not dedicated myself to an "AI first" workflow so maybe I am just doing it wrong. The most positive metaphor I have heard about why LLM coding assistance is so great is that it's like having a hard-working junior dev that does whatever you want and doesn't waste time reading HN. You still have to check the work, there will be some bad decisi…

> And the code you get out, in my experience at least, is pretty crap

I think that belies the fundamental misunderstanding of how AI is changing the goalposts in coding

Software engineering has operated under a fundamental assumption that code quality is important.

But why do we value the "quality" of code?

* It's easier for other developers (including your future self) to understand, and easier to document. * Easier to change when requirements change * More efficient with resources, performs better (cpu/network/disk) * Easier to develop tests if its properly structured

AI coding upends a lot of that, because all of those goals presume a human will, at some point, interact with that code in the future.

But the whole purpose of coding in the first place is to have a running executable that does what we want it to do.

The more we focus on the requirements and guiding AI to write tests to prove those requirements are fulfilled, the less we have to actually care about the 'quality' of the code it produces. Code quality isn't a requirement, its a vestigal artifact of human involvement in communicating with the machine.

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