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GPT-5.6

openai.com

431–440 of 1001 posts

Re: GPT-5.6

#431
post #404

Earlier quoted context omitted.

Thank you Simon! Luna is surprisingly decent across all reasoning levels.

I think all of Luna's are bad. The only decent one is sol @ xhigh. Even sol @ max is weird. Sol @ high and @ medium are ok, and every other single one across every model is bad.

Strong disagree, but to each their own. For sol I really like how only medium uses the wings on the handlebars to ride the bike. For all the other sols the pelican evolved a new set of arms separate from the wings.

Re: GPT-5.6

#432
post #298

i'm not happy with how openai is trying to pit 5.6 sol as a cheaper equivalent to fable here for one thing, they said that on AA, sol is "within one point of fable" at 58.9 vs 59.9 but don't clarify that the latter is with safeguards where ~8% of the tasks got routed to opus i'm not rooting for either and genuinely think that the token efficiency and cheaper price are important but this sort of thing just feels disin…

This is especially interesting because IIRC the AA benchmark is calibrated so that 1 point and greater difference is statistically significant.

Re: GPT-5.6

#433

Earlier quoted context omitted.

> We are probably going to need a lot more GPUs. Or a breakthrough in algorithms etc. The human brain, heck all bio brains, are proof that you don't need a lot of power or size for intelligence.

The human brain has 80 billion neurons and a 100 trillion synapses. I think you're underselling the processing power of that warm chunk of meat. The real message of the last 15 years has actually been the opposite: if you throw enough processing power at it, intelligence emerges.

Moreover we've known for quite a while now that glial cells also participate in cognition and moderate learning (e.g.: [1]). When you take those connections into account the numbers get really staggering. 85 billion glial cells with trillions of protein channels facilitating communication between the glial syncytium [2].

[1] https://www.sciencedirect.com/science/article/pii/S193459091... [2] https://pmc.ncbi.nlm.nih.gov/articles/PMC5063692/

Re: GPT-5.6

#434
post #379

Here are 18 pelicans - six each for Luna, Terra and Sol at the six different reasoning effort levels (plus the price to generate each one): https://static.simonwillison.net/static/2026/gpt-5.6-pelican... Or if you want to see some in 3D, OpenAI featured a pelican riding a tricycle, bicycle, pony and another pelican in their livestream this morning: https://www.youtube.com/live/Wq45rvPGNHs?t=1070s

Surely "how to draw a SVG pelican on a bike" has made it into the training data by now ...

And yet... only one is any good.

Re: GPT-5.6

#435
post #379

Here are 18 pelicans - six each for Luna, Terra and Sol at the six different reasoning effort levels (plus the price to generate each one): https://static.simonwillison.net/static/2026/gpt-5.6-pelican... Or if you want to see some in 3D, OpenAI featured a pelican riding a tricycle, bicycle, pony and another pelican in their livestream this morning: https://www.youtube.com/live/Wq45rvPGNHs?t=1070s

Surely "how to draw a SVG pelican on a bike" has made it into the training data by now ...

Surely this comment is literally on every new model release post.

Re: GPT-5.6

#436
post #379

Here are 18 pelicans - six each for Luna, Terra and Sol at the six different reasoning effort levels (plus the price to generate each one): https://static.simonwillison.net/static/2026/gpt-5.6-pelican... Or if you want to see some in 3D, OpenAI featured a pelican riding a tricycle, bicycle, pony and another pelican in their livestream this morning: https://www.youtube.com/live/Wq45rvPGNHs?t=1070s

Apparently plus users do not have access to Sol, so I'm really worried about the ugly Terra Pelican.

Re: GPT-5.6

#437
post #412
post #379

Here are 18 pelicans - six each for Luna, Terra and Sol at the six different reasoning effort levels (plus the price to generate each one): https://static.simonwillison.net/static/2026/gpt-5.6-pelican... Or if you want to see some in 3D, OpenAI featured a pelican riding a tricycle, bicycle, pony and another pelican in their livestream this morning: https://www.youtube.com/live/Wq45rvPGNHs?t=1070s

Is the direction of the pelicans encoded in your prompt? Curious why they are all left to right with the exception of terra xhigh.

History moves left to right.

Re: GPT-5.6

#438

Earlier quoted context omitted.

> Avoid generic brevity instructions: GPT-5.6 is more sensitive than GPT-5.5 to instructions such as “Be concise,” “Keep it short,” or “Use minimal text.” RIP Caveman skill. Six month good. Now skill dead.

A Yoda skill, is there?

> Yoda skill, there is?

ftfy

Re: GPT-5.6

#439
I love testing the new models by asking them to code a toy RTS game. Here's what Terra did: https://senko.net/vibecode-bench/2026/rts-gpt-5.6-terra.html (one try, in codex app, xhigh effort)

Comparing this to other models, I find it similar to GPT-5.5 and a bit behind Sonnet 5. You can see how other models fared here: https://senko.net/vibecode-bench/ (you can also fetch the prompt and the the 5.6 Terra resulting code on from that page).

I don't have access to Sol yet (on a Plus sub, which should get it according to what I've read), so can't do the more interesting test. I'll update the above page as soon as I get access - hopefully soon.

Re: GPT-5.6

#440
post #219

cursor benchmarks with GPT 5.6 in picture, a good reason to stop using opus. https://cursor.com/evals The good news you don't have to send your dollars to China to fund ai dictatorship, in russia, north korea, african countries and south america.

so the answer is use grok ?
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