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This is the most important chart in AI right now. Open Source is eclipsing Closed Source in total token usage, but frontier labs still capture most revenue. Watch my breakdown:
24,102 görüntüleme • 2 ay önce •via X (Twitter)
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we gotta connect you to Nebius and their Token Factory Matthew, they’ve built an AI native cloud, inference optimization, and host the latest open source models i use codex as my driver and my subagents are OSS now

I'm open to meeting them!

Open source is only just arriving at this capability level

You are completely ignoring the fact that the gap is closing really fast. The cost of being a frontier model provider cannot be covered in the 2-3 months they can stay in the lead before some dirt cheap open source and open weight model or hybrid setup outperforms them.

I just added the amazing chart to Very useful and interesting!

Open weights is exactly how AI becomes successful!!! Props to all devs pushing OSS and OWMs 🙏

There is no revenue except for nvidia, not yet

That’s because the open source is parasitic - duh.. mainstream llms are the blood boy of open source

Thanks @MatthewBerman for talking about this FLIP and surfacing it. I believe 80% of token consumption in the future will be on device using OpenWeight models with the remaining 20% being served by Cloud/Frontier Models.

They “thought” … their programs were “the market”.. then opensource bitch slapped them back to reality…

A “token” is not a fixed unit of text. It is whatever a given model’s tokenizer decided to treat as one piece. Your analysis is treating them as an equal unit of measurement across models.

And this was recorded before the announcement regarding Ox Alpha being an open Chinese model...

open source winning on usage while frontier labs keep the revenue is basically the story of every commoditization cycle

It's also showing that China is winning hard and US is losing ground

but the open source models just started catching up, so doesn't this data simply reflect that the "good enough" trend has not overtaken the current dynamics yet? But won't it quite soon? After all, when companies like Microsoft are slashing their spend on Anthropic and shifting toward open source models, it seems like those "rumors from the heights" haven't filtered down yet.

It’s mostly vibecoders that can’t afford tokens because they’re building app with no revenue.

Scam Altman didn’t build OpenAI

“Chinese models” delusional … do you know how most AI systems are developed? The Chinese state has not made any AI models… the biggest “Chinese“ model was developed by an American educated H1B Visa holder while living in the United States and working in the United States #KIMI of Moonshot ….

Great take. Nothing stopping people trying open and only if that fails use the sorta closed. Again depends on speed, and like you said market competition.

Open source drives high token volume while closed labs take enterprise cash.

nobody knows how much revenue frontier capture

Privacy is the main reason open source is winning on the big stage

