its very good but the part that surprised me the most is its ability in 3d modeling like its doing very good with blender though as a personal choice i will still stick with claude for a while being i have a feeling they might drop something that can do the same and with claudes current capabilities it will definitely be better.

First impression. It seems smarter at synthesing information faster. Something Gemini was really good at but it does it better.

It speaks more naturally, unlike claude which litteraly just vomit jargon and random analogies.

It's very expensive. After 15 message I burned through my 5 hour limits.

Demos online are very biased toward fancy user interfaces and animations and video games

Well I am happy to be part of the daybreak program. Personally I am quite disappointed in gpt 6 astra. From all the hype I expected it to be come alien technology but in reality it is just slower 5.6 but with better vision. It is way slower than 5.6 sol and in cyber security and reverse engineering it is falling behind by a lot compared to 5.6 cyber. For example I gave same task 5.6 cyber vs 6 astra (both under daybreak). The task was to reconstruct perfectly accuretaly algorithm form binary and 5.6 cyber won 3 times in a roll with high difference.

No one on HN seems to care about its crazy ability in 3D modeling?

3D might have just been solved like coding

I care. I've been feeling bad for all the people who have dedicated their lives to that craft. It took years of daily practise to be good at 3D modelling...

When Astra becomes wildly available it seems likely a single 3d modeller (or even someone with no 3d modelling knowledge at all) could do the work of 10 today. Those guys are going to find it very hard to find work.

Far too early for any real opinion, but GPT-6 Astra (on Light) stops a lot and often in unintuitive ways that I haven't seen in a while.

Had a very hard to reproduce windows focus bug on macOS that was unreliable to reproduce and when it could be reproduced, it disappeared the second I switched to the app formerly known as Codex, so for the first time used the voice interface with that little hovering bubble, telling the model to take over once I got it. Worked and Astra was able to drill down to the underlying issue (slightly difficult given the project affected), but the amount of times Astra "said" something akin to:

"Both states are saved, with no recorder errors or dropped events for analysis." or "That rules out a direct modification there, but not Hominis’s startup sequence or application identity affecting when they run. Those differences need comparison first."

Upon such sentences, nothing happened and because Astra is slow at answering and Codex was in the background (and I could not bring it forward for obvious reasons), so upon seeing the voice mode bubble thingy indicate that the conversation had stopped, I had to ask it to proceed with the outlined task. Four times in this one session.

I did specifically start the thread with "Try to replicate and analyse the issue, then collect and subsequently provide findings", but it stopped long before even approaching anything useable on multiple occasions.

Also, at least in this computer use test which needed the model to use as close to native interactions as possible, it took about 45sec per interaction, not faster than GPT-5.6 Sol or Fable 5 in this same application. It's simply a very "unique" UI that is far from anything likely to be in the training data for computer use, so reasoning is simply longer.

Beyond this, I cannot yet make any serious assessment of GPT-6 Astra, heck, Fable 5.1 is still early in testing. I am hoping that the regressions seen in the Spud-based models are excised with GPT-6 Astra, but the multiple stops remind me of GPT-5.5 and at least in this one, absolutely not sufficient for any actual judgment, task, adherence to the originally lined out task was not at the levels of GPT-5.6 Sol or GPT-5.4 (which remains the best model by any lab I ever tested for task adherence, even over multiple compactions).

The GPT-5 pre-train-based models really went far and is competitive even today. Everything after with Spud has not given me the very positive experience I had from GPT-5 - GPT-5.4. GPT-5.5 simply did not stay on track post compaction and GPT-5.6 Sol occasionally did deviate from clearly outlined prompts in a manner that could lead to dataloss, especially when letting the model handle destructive git actions in a clearly defined manner with specific approach to retain parts of data otherwise lost.

Maybe Astra is a change back to what made GPT-5.4 great (task adherence, effective compaction, no stopping if task lines out stopping point not yet reached) but with a higher capability ceiling and better readable code output despite my first impression, but that remains to be seen.

I used the same prompt in 5.6 sol and in Astra

Astra did a smarter web search and found higher quality resources and blog posts about the topic I was trying to learn.

On the same effort level, while it was cranking through it did about 3-5x number of web sources found.

GPT-6 Astra is going to create so many new jobs.

The future is exciting, what a time to be alive with so much abundant intelligence.

How do you mean?

well, jobs were being created in the first place because intelligence wasn't abundant at any time in history until now.

And now we are going to get even more jobs due to AI.

How so though?

i just don’t see the point anymore lol

i’m just going to yolo into stocks or something

fuck coding or building anything

it’s so good i don’t care anymore about coding or even building any business around app. it’s a hobby now

couple more years and gg

its disappointing really - i dont see any great improvement.

What did you use it for?

I actually see regression in speed and accuracy after gpt 6