Surprised they haven't reset Codex usage on this occasion.
GPT-6 Astra
481–490 of 1001 posts
Re: GPT-6 Astra
#482That 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 myself to do this between different llms.
The wall projector is a cool idea because I think it frees the user from staring at a lonely little rectangle while sitting in their fixed office chair.
If done right, this could bring us closer to the dream of more natural, social computing.
Bret Victor's (failed?) project Dynamicland involving a projector on a desk had this goal. I hear he's not much a fan of LLMs. On the one hand, I can see why. But I think, used correctly, it might be the sort of thing that unlocks his dream and, really, my dream, too.
A here's a presentation of Bret's talk on it: https://www.youtube.com/watch?v=7wa3nm0qcfM
Slight tangent: using speech to text to ramble about your rough design for like 20 minutes to an llm produces surprisingly good results over short prompts even when you contradict yourself. They're so good at picking up on what you're orbiting.
Re: GPT-6 Astra
#483What is going to become of life for those of us who do not work at AI labs and are unlikely to be hired by AI labs, despite all the years we put into learning coding, math, etc, as we were told to do? Those of us who made the mistake of studying anything other than machine learning. How will we make a living? (We don't live in a world that seems likely to distribute gains widely instead of largely to the handful of a…
You can calm down, even those with machine learning knowledge and most of those working for the AI labs won’t be needed anymore if models are capable to improve themselves. In the end, having a machine replacing the work of a human is a good thing - in most of the cases we don’t work because of the work but to make a living. If too many people can’t make a living anymore the system is going to change. For the better…
I believe what happens in the aftermath of a capitalist-driven revolution is most people who were climbing the class hierarchy fall back down again and wealth inequality increases. Maybe things will improve in the future, but GP is rationally contending with the fact that most of us will lose out because of this and if we’re lucky our grandchildren will have easier lives in certain ways, but different lives than we would live.
Re: GPT-6 Astra
#484The 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…
The ARC-AGI-3 harness was throwing away reasoning tokens between turns. This is very bad harness design.
The models are designed to keep the reasoning tokens separate from the output and only publicly emit tool calls and the sometimes a summary of the reasoning tokens. The models are trained to depend on those private reasoning tokens. You can’t just delete them.
https://openai.com/index/how-two-settings-tripled-our-arc-ag...
Re: GPT-6 Astra
#485Surprised they haven't reset Codex usage on this occasion.
I'd say it's because it's not available yet on subs
Re: GPT-6 Astra
#486I 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…
Pretty efficiently, apparently, since it saturated ARC-AGI-3 in half of the predicted time, and according to the Chollet blog post on the fly created dense DSLs to describe and analyze individual games.
Re: GPT-6 Astra
#487That seems promising ?
Re: GPT-6 Astra
#488I'm sure it's going to do great on all sorts of benchmarks, but the video--the actual marketing video that if anything is incentivised to overstate things--is full of careful cuts just before it would do anything that still wouldn't actually be that impressive. It's AGI, and it's going to upload photos, or change a background slide colour. Even the people hyping it up, who believe that it's really artificial intellig…
The games on mobile safari were broken. Buttons all misaligned in the kart racer one, the spaceship thing froze for a while, then kind of loaded but maybe not? Wasn't super compelling. I'm not trying to be too negative on it, it could be the best model right now, but it clearly isn't some agi god because things like that should have been caught (also should have been caught by human reviewers).
It's interesting that you said "agi god". Because a god, something that shouldn't be questioned is true and provides guidance/certainty, is actually what powerful people are after as well as many other people.
Re: GPT-6 Astra
#489The 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…
It will be AGI once it can update its own weights. It can't be "general" intelligence if its weights are frozen and requires to be updated manually.