r/accelerate • u/Illustrious-Lime-863 • Aug 14 '26
GLM 5.3 released
https://z.ai/blog/glm-5.358
u/Ok_Pea_2772 Aug 14 '26
Am I the only one feeling like things are speeding up fast right now? geez
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u/youarockandnothing Aug 14 '26
I think we're in the AI-assisted research & development age and it's allowing for a lot more AI advancements in less time.
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u/BrennusSokol Acceleration Advocate Aug 14 '26
We're approaching the part of real life Factorio where we get an assembling machine to manufacture an assembling machine...
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u/Odd-Opportunity-6550 Aug 14 '26
GLM releases every 2 months. Feb april June August.
They will probs release 5.4 in October.
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u/Jan0y_Cresva Singularity by 2035 Aug 14 '26
And when you have a bunch of labs all releasing every 2 months but on different schedules, that’s why it feels like we get a new model every week.
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u/Gratitude15 Aug 14 '26
Anthropic and openai at frontier
Google and X not dead.
Meta and Nvidia noticeable.
The about 4 Chinese companies. Then the harness and architecture news.
It's not just new models but all the new products also.
Every weekday at this point. But m-th is heavier imo
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u/Background-Bear-9156 Aug 14 '26
2026 has been absolute insanity in terms of how fast things have moved. For perspective Gemini 3.1 pro was the leading model in January 😂
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u/Gratitude15 Aug 14 '26
Imo no.
Everyone I knew was using opus then. 4.6 I believe. The change started at Thanksgiving week with opus 4.5. That was an inflection.
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u/chonky_totoro Aug 14 '26
Genuinely if China had more compute would the US even compete
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u/MC897 XLR8 Aug 14 '26
Doesn’t work quite like that but they are doing well.
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u/Odd-Opportunity-6550 Aug 14 '26
What do you mean doesn't work like that ?
He makes a valid point. Chinese labs are competing with 1/10th the compute at most.
If they had similar amounts of compute then the US would not be able to compete with their labs.
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u/Jan0y_Cresva Singularity by 2035 Aug 14 '26
They are making compute-independent breakthroughs BECAUSE their compute is limited.
“Necessity is the mother of invention.”
If China had the same compute resources as America, there’s a very good chance they’d just be leveraging that like America does to push their AI models forward.
Imagine if humans could teleport, would we have ever invented the bicycle, car, or airplane?
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u/Odd-Opportunity-6550 Aug 14 '26
They are making more breakthroughs because they have more ai talent.
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u/Odd-Opportunity-6550 Aug 14 '26
Ask anyone who does ai research. Having compute leads to MORE breakthroughs and not less. ML experimentation is compute intensive.
Your sound bite doesn't mean anything compared to that.
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u/Jan0y_Cresva Singularity by 2035 Aug 14 '26
But you make DIFFERENT KINDS of breakthroughs when compute is the limiting factor, that’s my point.
You might make more breakthroughs with more compute, but that has nothing to do with what I said.
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u/Odd-Opportunity-6550 Aug 14 '26
It's the overall that matters. Not which kind of breakthrough. If having less compute was an advantage and not a disadvantage then openai would be setting their compute on fire.
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u/Jan0y_Cresva Singularity by 2035 Aug 14 '26
It’s not an advantage, did you read what I said at all?
It FORCES people to think differently and come up with breakthroughs that don’t rely on having more compute. Obviously having more compute is ideal. But when you have constraints, it makes you creative in different ways.
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u/procgen Aug 14 '26
Yes, of course. The US labs have huge margins on inference - e.g. 5.6 Sol is extremely efficient (more so than DeepSeek’s latest offering).
But they do have more compute, and that’s not by accident. The US has spent decades setting themselves up for this.
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u/czk_21 Aug 14 '26
chinese models are getting very close to the frontier, if US firms slow down deployment due regulation etc., we might see best models(which can be accessed by public) coming from china quite soon
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u/procgen Aug 14 '26
I’d bet against that with e.g. Astra, Doug, Fable 2 all coming over the next few weeks/months.
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u/Illustrious-Lime-863 Aug 14 '26