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GPT-6 Astra
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Re: GPT-6 Astra
#262Re: GPT-6 Astra
#263This 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
#264What 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
#265I 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
#266This 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,…
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Re: GPT-6 Astra
#267> 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
#268At 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
Re: GPT-6 Astra
#269All the people here are focused on security and costs while I'm like "hey kicad on the announcement page!" Every clanker is an autorouter these days, eh.
Re: GPT-6 Astra
#270I 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…
> If this is truly AGI (subject to one's definition of AGI still)
Scoring well in a benchmark that's called AGI does not make an LLM AGI.