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GPT-6 Astra

openai.com

721–730 of 1001 posts

Re: GPT-6 Astra

#721

The ARC-AGI-3 scorecard is extremely misleading given that it clearly states itself that "with [the responses API] harness, we estimate Sol would score in the ballpark of ~30%." but it shows a score of 7.8% for GPT-5.6 Sol presumably since if they updated the percentage for GPT-5.6 Sol to the score it would receive with the responses API harness they used for GPT-6 Astra they'd have to do the same for the percentage…

Dumb single sample example: I asked Fable 5.1 to change from hard to soft deletion in an office map backend, and it used soft deletion for data which is synced from another system, but left hard deletion on for the mapping data itself (who sits where). For me it’s a pretty severe lack of judgement (like a red flag if I asked this in an interview).

Re: GPT-6 Astra

#722
> With Sites (opens in a new window) in ChatGPT, Astra can create, host, and share websites, web apps, and games directly from a prompt.

Oops, shots fired. A direct attack on the vibe coded app market. Replit, Lovable, etc.

Re: GPT-6 Astra

#723
post #518

I am really confused on how it can saturate ARC-AGI but still perform poorly on aggregated benchmarks: https://artificialanalysis.ai/models Perhaps if it was allowed this custom harness for all benchmarks it would similarily saturate?

Idk, they’re trying to sell a $500/mo/seat service to tell you what model is best. I think it’s in their interest to keep it confusing and opaque. Not exactly independent.

Re: GPT-6 Astra

#724
Sol has been very effective at schematic design (using Skidl) and at reviewing PCB layouts. But layout was still done manually by me. I'm very impressed and surprised to see they exactly a demo of Astra doing PCB layout. This is could be a game changer for electrial engineering! It already is since the schematic (and library management) is where a lot of the design work goes.

Re: GPT-6 Astra

#725
The model is probably excellent. The problem here is AGI having various definitions and many of them getting narrowed down to whatever makes benchmark numbers look good.

Re: GPT-6 Astra

#726
post #227

I want to take a step back: So, this is GPT-6 -- the natural number version release comparable to GPT-4 and GPT-5 from the past few years. The ARC-AGI-3 score is obviously impressive at 99.9% (we'll need to wait for more details on how they used the response API harness on GPT-6 Astra, wrt reasoning retention and compaction), but every other benchmarks seems to be a relatively modest improvement, comparable with any…

People really believe in this AGI marketing?

Re: GPT-6 Astra

#729

I have nothing to say about the actual model, but unrelated--why do so many of these demos include people buying things autonomously? Even if I did trust an AI to get everything right, it's not like the AI can read my mind. If I was ordering food normally and without AI, I would want more control over the process--looking over the options, prices, thinking about what I really want. People don't know what they really…

The overwhelming majority of things I buy are things I've bought before. Alexa having access to my Amazon order history means I can just say "order a new water filter for my fridge" and the correct item shows up the next day. Far from life changing, but it's a feature I use somewhat frequently these days. Similarly, I would trust an AI to put in my usual Chipotle order or pizza from my local pizza joint. I wouldn't w…

There was amazon dash button for this

Re: GPT-6 Astra

#730

AGI to me means capable of absorbing new information on the fly and self-evolution. As long as it is a pre-trained model without live post-training capability, it's not AGI to me. It is extremely impressive, but it doesn't pick up skills in a lasting manner, and requires a beefy harness for it to perform.

AGI to me means intuition and I don't think that's ever going to happen with a LLM.
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