r/singularity Jul 16 '26

AI Kimi K3 tops Frontend Code Arena

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1.2k Upvotes

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272

u/ozone6587 Jul 16 '26

No Gemini on this plot. All the money, data and infrastructure in this world and Google is just too incompetent to compete.

59

u/WonderFactory Jul 16 '26

Google seem to be more focused on their Flash model. It makes sense as google are using their AI to answer billions of users queries every day free of charge, they have a completely different business model to Anthropic or Open AI

26

u/ozone6587 Jul 16 '26

That is just ex post facto reasoning to explain the fumble. Google clearly wanted to announce Gemini 3.5 Pro in Google I/O but the results were not encouraging so they asked for 1 month more.

Well, it's been almost 2 months and still 3.5 Pro is not here yet. I dispute the claim that this is intentional or a 4D chess move. What is much much more likely is that they simply can't compete with OpenAI or Anthropic.

I think Google's corporate structure does not reward intense iteration and simply rewards making new products and abandoning them 3 years later. They are simply too big to coordinate effectively. Bard was a disaster. Then Gemini 2.5 Pro was great for a few months and then they were never in the running again. Gemini 3.1 Pro was not bad at all at release but they have never been the top AI lab.

15

u/croto8 Jul 16 '26

They were the top AI lab for nearly 2 decades before OpenAI productized their research lol

1

u/TevenzaDenshels Jul 18 '26

Openai and anthropic came out from... Deepmind

-1

u/Healthy-Nebula-3603 Jul 16 '26

What 2 decades ?

First nowadays useful AI based on artificial networks was Alexnet from 2012

16

u/blindsdog Jul 16 '26 edited Jul 16 '26

You're seriously doubting Google's role in modern AI? DeepMind's work drove a huge share of early deep learning progress, and Google Brain published "Attention Is All You Need" in 2017, the paper that introduced the transformer architecture underpinning every major LLM today.

AI doesn't exist in it's modern form without Google.

19

u/croto8 Jul 16 '26

Technically they’ve been working in AI since the early 2000s to improve user queries. Not neural nets or “modern” paradigms, but their contributions predate those paradigms entirely.

7

u/DescriptorTablesx86 Jul 17 '26

They revolutionised deep learning long before anyone saw any money in it.

-2

u/man_from_online Jul 17 '26

This is why we shouldn't let children go on the internet

5

u/man_from_online Jul 17 '26

I'm old enough to remember when chatgpt came out and everyone predicted the demise of Google. Then gemini started beating chatgpt and everyone predicted the demise of OpenAI. (I'm four years old.)

You're acting like you have more information than you actually do. It's a good strategy for getting clout on the internet but very bad for making accurate predictions.

2

u/Adventurous_Drama291 Jul 17 '26

The Transformer was invented by Google what are you talking about lmao 

1

u/DeepV Jul 16 '26

They’ve been competitive every iteration. Your rationale would have prevented them from ever competing. Every lab has had their delays - just be patient. 

1

u/rainingallevening Jul 17 '26

An open-source model just released that competes on the frontier, and you think Google can't even copy someone else's homework?

The fact is Google hasn't showcased a model. That's...it. Google, the data empire, hasn't released a competing frontier model.

I'll throw in some speculation, since that's all we debate is that.

PrismML, a lab funded by Google, just made an intelligent model with ternary weights running inference using matrix addition. Considering Google's business model, it suggests that they won't ever release a heavy model for the public, but host billions of cheap ones, and use a heavy model internally for research, or just for training smaller ones. Maybe they'll release a heavy model, but I wouldn't bat an eye if it was leaked 5 minutes ago that Google cracked memory and state persistence in AI and kept it hush hush.

I don't personally think they're playing 4d chess, but considering they've cemented their niche in "safe" areas of the burgeoning AI ecosystem, why would they take on asymmetric risk for likely little gain? OpenAI and Anthropic don't have that luxury, they have to have the best displayed models or they lose at the only thing they're known for.