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GPT-6 Astra

openai.com

261–270 of 1001 posts

Re: GPT-6 Astra

#261
post #243

I'm going to call it. By 2030 all software is done and complete. But we are going to have more and new jobs.

'all' software? aircraft flight control systems? infant heart monitors? drug manufacturing dose calibration controllers?

Yes.

This is just another problem for the AI Labs to solve.

Re: GPT-6 Astra

#263
post #259
post #246

Argh! I hit a wrong keyboard shortcut and moved the entire thread. Please stand by... it will all come back shortly

Luckily there’s a standard keyboard shortcut for “undo” as well. ;)

Not in the world of HN admins unfortunately

Re: GPT-6 Astra

#264

This is wild: OpenAI is basically declaring that AGI is here. https://www.theverge.com/ai-artificial-intelligence/989601/o... “If we fast-forward a couple of years, and we look back and say, ‘When was it, really, that AGI was created?’ I think it’s going to be about this time, and I think it might be about this model,” OpenAI president Greg Brockman said during a Thursday press briefing. Later in the call, he added,…

I almost feel like I need just as much healthy skepticism toward hn comments that have the automatic reflex of dismissing performance gains, as much as I need a similar form of skepticism toward AI claims. It feels like (from what I'm understanding) the harnessed result on ARC-AGI-3 is not exactly playing by the normal rules that would tell us how much of a leap this really is. Nothing wrong with harnesses, but if there's one thing they aren't, it's an indicator of generality in performance gains.

So I think it's a bit of a misleading signal and we should wait for more independent vetting. I think the middle ground is that these are improvements worthy of the "GPT-6" label but still well short of a true "this is AGI moment" that would truly put the question to rest.

Re: GPT-6 Astra

#265

What does 'Astra' here mean? Surely they must be referring to the Latin word. Because in another dead language of antiquity, Sanskrit, it means "weapon". Which would be a bit too on-the-nose.

Luna, Terra, Sol, Astra. Though Sun is also a star, should have called it Galaxy or something.

Re: GPT-6 Astra

#266
post #247

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…

They’re really, really scared because of the Mythos controversy. Skynet will be under hyped.

Re: GPT-6 Astra

#267

This is wild: OpenAI is basically declaring that AGI is here. https://www.theverge.com/ai-artificial-intelligence/989601/o... “If we fast-forward a couple of years, and we look back and say, ‘When was it, really, that AGI was created?’ I think it’s going to be about this time, and I think it might be about this model,” OpenAI president Greg Brockman said during a Thursday press briefing. Later in the call, he added,…

[deleted]

Re: GPT-6 Astra

#268

> We have found that GPT-6 Astra is more capable of controlling its own CoT than GPT 5.6-Sol, and less likely to include incriminating information in its CoT. In adversarial settings (where we push the model to evade our monitors) we find that the model is able to remain undetected when strategically underperforming in evaluations (sandbagging) and can sometimes evade our internal monitors when asked to perform certa…

"OpenAI is pleased to announce our new model scores 85% on CreateTormentNexusBench - a >60% lead over our leading competitors!" Did someone get their "AI safety no-no list" and "Frontier features bingo card" mixed up, or did they just stop being able to tell the difference?

Didn't they hype up one of the earlier ChatGPT versions as "essentialy skynet"? For them this has always been basic marketing.

Re: GPT-6 Astra

#269
At this point the primary axes for improvement seem to only/mostly be speed and personalized reward models. We seemingly have the general of notion "learning" and "intelligence" functionally complete
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