For day to day coding, I've found Anthropic to be killing it with Sonnet 3.7 and now Sonnet 4, and Claude Code feeling like it has even bigger advantages over when it's used in Cursor (And I can't explain why).
I don't even try to use the OpenAI models because it's felt like night and day.
Hopefully GPT-5 helps them catch up. Although I'm sure there are 100 people that have their own personal "hopefully GPT-5 fixes my personal issue with GPT4"
I hope that this live stream will tell you that this will be the definitive reason why web developers, JavaScript / TypeScript developers are going to be made completely obsolete at worse and at best, their jobs will be reduced at all levels.
The best part is, this is not even the real definition of "AGI" yet (whatever that means at this point).
More like 10% of the capability that was promised and already the flow of capital from the inflated salaries of the past decade are going to the top AI researchers.
It will be like coming home after such a long time using Sonnet 4 for all code and UI/UX work. I do hope sincerely this brings OpenAI back on top! Would be awesome to have a new king again.
"This repository contains a curated collection of demo applications generated entirely in a single GPT-5 prompt, without writing any code by hand."
In practice, it's very clear to me that the most important value in writing software with an LLM isn't it's ability to one-shot hard problems, but rather it's ability to effectively manage complex context. There are no good evals for this kind of problem, but that's what I'm keenly interested in understanding. Show me GPT-5 can move through 10 steps in a list of tasks without completely losing the objective by the end.
Since the stream has been on some starting screen for several minutes, I went to check whether there are watch-along streams on Twitch for this - there are a few, and for some reason every one of them is in Spanish. I know Spanish-language streams are a big thing, but it's curious that there's three Spanish GPT-5 watchalong streams (two with 50-ish viewers and one with 2.5k) and none in English.
edit: YouTube has a few English "watch party" streams, although there too, the Spanish ones have many times more viewers.
A bit unrelated: The "countdown animation", just like Google I/O's, how do people make those? The countdown is probably dynamically generated, as they don't know when the event will actually start? Is there like a JavaScript library, or CapCut template, or something?
Especially Google IO, each year is different, it seems purpose built?
Considering how they hyped it up (eg. “Lol normies go about their day and have no idea whats coming etc”) they have to show some AGI level llm or stop overhyping their 2% improvements.
Hopefully, OpenAI makes their APIs more affordable. So far, there are alternative LLMs and services that both outperform and are a fraction of OpenAI's pricing. OpenAI is usually one of (if not) the most expensive option, maybe that's because of the brand identification. Not really sure why people pay that premium.
It's very interesting how memetic the language around different models is. Elon seems to have coined "PhD level intelligence in all topics" and now Sam repeated it in his presentation. Despite it not having an actual meaning. I think OpenAI will coin they've achieved AGI first (as they have incentives to based on the rumored contract with MSFT), and then everyone will claim we've achieved it.
The eval bar I want to see here is simple: over a complex objective (e.g., deploy to prod using a git workflow), how many tasks can GPT-5 stay on track with before it falls off the train. Context is king and it's the most obvious and glaring problem with current models.
It's only when he stumbled a bit that I could tell for sure (well, mostly) that it wasn't an AI generated video - the corporate speak, body language mannerisms of Sam Altman, camera angles, all seemed pretty plausibly AI-generated!
Something was off. I think they had an expensive lighting setup with no one that knew what looked good. Everything was very diffused and flat. Like I would expect AI to replicate.
The marketing copy and the current livestream appear tautological: "it's better because it's better."
Not much explanation yet why GPT-5 warrants a major version bump. As usual, the model (and potentially OpenAI as a whole) will depend on output vibe checks.
When they were about to release gpt4 I remember the hype was so high there were a lot of AGI debates. But then was quickly out-shadowed by more advanced models.
People knew that gpt5 wouldn’t be an AGI or even close to that. It’s just an updated version. GptN would become more or leas like an annual release.
I didn't think GPT-4 warranted a major version bump. I do not believe that Open AI's benchmarks are legitimate and I don't think they have been for quite some time, if ever.
I think the biggest tell for me was having the leader of Cursor up vouching for the model, who has been a big proponent of Claude in Cursor for the last year. Doesn't seem like a light statement.
Obviously, they haven't figured out anything remotely sentient. It's cool as fuck, but it's not actually thinking. Thinking requires learning. You could show it a cat and it would still tell you it's a dog, no matter how many times you try and tell it.
407 comments
[ 2.8 ms ] story [ 159 ms ] threadI don't even try to use the OpenAI models because it's felt like night and day.
Hopefully GPT-5 helps them catch up. Although I'm sure there are 100 people that have their own personal "hopefully GPT-5 fixes my personal issue with GPT4"
I'd imagine this must be a big leg up on Anthropic to warrant the "GPT-5" name?
The best part is, this is not even the real definition of "AGI" yet (whatever that means at this point).
More like 10% of the capability that was promised and already the flow of capital from the inflated salaries of the past decade are going to the top AI researchers.
Official OpenAI gpt-5 coding examples repo: https://github.com/openai/gpt-5-coding-examples (https://news.ycombinator.com/item?id=44826439)
Github leak: https://news.ycombinator.com/item?id=44826439
"This repository contains a curated collection of demo applications generated entirely in a single GPT-5 prompt, without writing any code by hand."
https://github.com/openai/gpt-5-coding-examples
This is promising!
yikes - the poor executive leadership’s fragile egos cannot take the criticism.
In practice, it's very clear to me that the most important value in writing software with an LLM isn't it's ability to one-shot hard problems, but rather it's ability to effectively manage complex context. There are no good evals for this kind of problem, but that's what I'm keenly interested in understanding. Show me GPT-5 can move through 10 steps in a list of tasks without completely losing the objective by the end.
edit: YouTube has a few English "watch party" streams, although there too, the Spanish ones have many times more viewers.
Especially Google IO, each year is different, it seems purpose built?
Livestream link: https://www.youtube.com/live/0Uu_VJeVVfo
Research blog post: https://openai.com/index/introducing-gpt-5/
Developer blog post: https://openai.com/index/introducing-gpt-5-for-developers
API Docs: https://platform.openai.com/docs/guides/latest-model
Note the free form function calling documentation: https://platform.openai.com/docs/guides/function-calling#con...
GPT5 prompting guide: https://cookbook.openai.com/examples/gpt-5/gpt-5_prompting_g...
GPT5 new params and tools: https://cookbook.openai.com/examples/gpt-5/gpt-5_new_params_...
GPT5 frontend cookbook: https://cookbook.openai.com/examples/gpt-5/gpt-5_frontend
prompt migrator/optimizor https://platform.openai.com/chat/edit?optimize=true
Enterprise blog post: https://openai.com/index/gpt-5-new-era-of-work
System Card: https://openai.com/index/gpt-5-system-card/
What would you say if you could talk to a future OpenAI model? https://progress.openai.com/
coding examples: https://github.com/openai/gpt-5-coding-examples
Not much explanation yet why GPT-5 warrants a major version bump. As usual, the model (and potentially OpenAI as a whole) will depend on output vibe checks.
People knew that gpt5 wouldn’t be an AGI or even close to that. It’s just an updated version. GptN would become more or leas like an annual release.
https://chatgpt.com/share/6895d5da-8884-8003-bf9d-1e191b11d3...