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GPT-6 Astra

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Re: GPT-6 Astra

#891

Post by lionkor »

thi2 wrote: post #618
manlymuppet wrote: post #418

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…

I work for a larger german retail chain and agentic shopping is already on the "near future vision". No one thinks this will be used but somehow shareholders love it.

There are SO many options here in Germany for all things retail that this can 100% kill an option for me

Re: GPT-6 Astra

#892

Post by _zoltan_ »

Flere-Imsaho wrote: post #505
XCSme wrote: post #344

It's fun, but every new model release makes me even less interested to create cool stuff. Like, what's the point, if the next AI can do it in 5 seconds?

> Like, what's the point, if the next AI can do it in 5 seconds? I built a phone app recently, not released to the public, just an idea I had for ages but could never spend the time actually building. Its 100% vibe coded, and took me a few weekends to build... I'm talking a few hours in total. The point I'm making is that you now have the power to create stuff you would never have had the time to build. You can think…

I'd love to learn more about this as I have some toy app ideas as well :)

Re: GPT-6 Astra

#894

Post by jen729w »

makapuf wrote: post #824
throwaway13337 wrote: post #456

That hero video is interesting. A projector and speech. Maybe I'm in the minority here, but I find speech to text / text to speech (but not live audio mode) is quite comfortable and effective for coding now. The speech to text part can be frustrating if your local tts model does not have word match context for coding. Codex desktop does this remotely well but is slow. I've been experimenting with local software for m…

given the fact that we've moved in my office from 3-people offices to open-plan office to flex desk now I'm not exactly sure I would want my coworkers to speak all day to their computers and gesturing / walking in front of a projector (provided there will still be coworkers with IA)

Haven't you been served the videos on LinkedIn where people have a thing strapped around their mouth that they can talk into? Apparently it traps the sound so your coworkers can't hear you.

Of course they're mercilessly mocking you instead, but hey.

Re: GPT-6 Astra

#896

Post by jeffy29 »

astrobiased wrote: post #379

I can’t help but notice how much this echoes Francois Chollet’s On the Measure of Intelligence: https://arxiv.org/abs/1911.01547 Most of frontier-model progress still looks like skill acquisition optimization: broader benchmark coverage and performance, more domains absorbed into the training distribution, and increasingly strong performance within that surface area. It seems more about coverage-driven competence. So…

Define novel intelligence in a way that would not exclude 95% of humans, yourself included.

Re: GPT-6 Astra

#897

Post by Sankozi »

altcognito wrote: post #769
kulkarniamey wrote: post #743

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.

I'm not sure how you call a model AGI without it learning new information at the model level and not introducing nasty surprises (both from adversarial users and unintentional badness) I guess there is fine tuning (and RAG) for those that need something bigger than just the knowledge contained in the context.

The same is for humans, we don't learn on instinct level either.

Re: GPT-6 Astra

#898

Post by willis936 »

jeffy29 wrote: post #896
astrobiased wrote: post #379

I can’t help but notice how much this echoes Francois Chollet’s On the Measure of Intelligence: https://arxiv.org/abs/1911.01547 Most of frontier-model progress still looks like skill acquisition optimization: broader benchmark coverage and performance, more domains absorbed into the training distribution, and increasingly strong performance within that surface area. It seems more about coverage-driven competence. So…

Define novel intelligence in a way that would not exclude 95% of humans, yourself included.

When I infer I also train.

Re: GPT-6 Astra

#899

Post by danmaz74 »

z7 wrote: post #583
astrobiased wrote: post #379

I can’t help but notice how much this echoes Francois Chollet’s On the Measure of Intelligence: https://arxiv.org/abs/1911.01547 Most of frontier-model progress still looks like skill acquisition optimization: broader benchmark coverage and performance, more domains absorbed into the training distribution, and increasingly strong performance within that surface area. It seems more about coverage-driven competence. So…

Chollet writes he expects AGI now sooner than 2030, "given progress is happening faster than I expected." https://x.com/fchollet/status/2095607046129463577

I have no idea about timelines, but the current LLM architecture has no mechanism which could emulate online learning in a way similar to how it happens in humans and other animals. As another commenter wrote, there is no neuroplasticity while these systems interact with their environment in normal usage; adding information/constraints to the context partially mitigates this, but it's a completely different mechanism.

The RL phase is the most similar mechanism I know of that comes to my mind, but I'm not sure it could be adapted to fill that gap.

My totally unsubstantiated theory is that this is the missing link towards what most humans would consider AGI. I don't see this as intractable, but it may require some substantial change in architecture.

Re: GPT-6 Astra

#900

Post by bsenftner »

jeffy29 wrote: post #896
astrobiased wrote: post #379

I can’t help but notice how much this echoes Francois Chollet’s On the Measure of Intelligence: https://arxiv.org/abs/1911.01547 Most of frontier-model progress still looks like skill acquisition optimization: broader benchmark coverage and performance, more domains absorbed into the training distribution, and increasingly strong performance within that surface area. It seems more about coverage-driven competence. So…

Define novel intelligence in a way that would not exclude 95% of humans, yourself included.

Comprehension, humans have it, animals have it in limited form, trained algorithms have none at all. The training process is our wholesale replacement for no artificial comprehension. If we ever develop artificial comprehension, that is AGI all by itself, no training required.
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