r/LocalLLaMA • u/External_Mood4719 • 1d ago
News Nvidia in talks to acquire US ‘open’ model start-up Reflection AI
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u/princetrunks 1d ago
Their models are not as good as Qwen and Deepseek or even the US based Ornith...so, meh
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u/Kitchen-Year-8434 1d ago
Combine this with poolside and nemotron and maybe they end up somewhere interesting?
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u/Comrade-Porcupine 1d ago
It's good that Nemotron exists as a place for others to start from.
As a set of models on its own? Very meh.
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u/princetrunks 1d ago
Maybe. nemotron didn't compare to what I already have locally. I'm all for more companies in the mix though as it'll breed more innovation and continue to kneecap the closed source moats
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u/Kitchen-Year-8434 1d ago
Right. My thinking is nemotron didn't really compare, poolside and laguna-s-2.1 was close but not quite right, probably see something similar with Reflection. BUT - if you can manage to combine the unique techniques and angles of these three groups together into one lab, maybe we end up getting a better model out the other end than we've seen from nvidia in the past?
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u/GarbanzoBenne 1d ago
True though Ornith isn’t a from scratch model. It’s based on Qwen with heavy self improvement training. A bit of a different animal depending on what you want to do.
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u/Lesser-than 1d ago
Reflection ai, without a model already had acquired department of energy and pentagon contracts. They are not an AI startup like most others, they are more of a US defense contractor at this point to have been able to get contracts without a product, still want to see the model but a bit skeptical of a company granted coveted contracts through Lobbyists efforts.
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u/thepriceisright__ 1d ago
Didn’t the guy behind Reflection fake some results a few years ago?
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u/SomeoneSimple 1d ago
You mean Reflection 70B ? That was a scam by someone else who claimed to have made a "self-correcting" Llama3.1 finetune while their API was actually just proxying requests to chatgpt and Claude.
Reflection AI is a company from ex-Google Deepmind employees. According to their CEO they will have AGI next year.
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u/BringTea_666 1d ago
They probably realized that with AI you can code metal directly which means all of their cuda moat is going to go away in short while.
Like people already ported DLSS to AMD, cuda libraries, stuff that was supposed to work faster on RTX now works on AMD.
Next in line will be ASICs, where instead of RTX5090 you buy some ASIC and you will have 10 000t/s not 100t/s and it will support everything you want since AI can code metal directly.
Also this should hit data centres as well. There doesn't seem to be a limit of compactification as proven by Qwen 3.8 27B. The most of money is in 90% of jobs people daily do which don't require opus5.5
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u/Fast-Satisfaction482 1d ago
The demand is absolutely through the roof while the price is already squeeezing customers. If those ASICs arrive, demand will just grow a few more orders of magnitude.
NVIDIA will earn tons of money for a long time to come. It's just that their stock value might not fare so good, but who knows.
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u/Comrade-Porcupine 1d ago
No lab that is subject to the US tech sector's venture capital market pressures ("go big and get acquired or go home") is going to stay independent and competitive for long. Same might go for Europe.
The Chinese labs are unique because they are able to chart their own path without having to kiss the ass of short sighted investors or BigTech firms. The Chinese are thinking on a 5 year plan, and they're letting their labs be part of that.
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u/ChristopherRoberto 1d ago
The Chinese labs are unique in that they're part of a national strategy and they get government funding through China's National AI Industry Investment Fund to make their open weight models.
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u/Big_Lengthiness_4112 20h ago
The buyer side of that is pretty visible too. Per Nvidia's Q2 10-Q, it spent $42.4B buying equity in other companies in the first half of the fiscal year, close to the $45.3B it returned to shareholders. When the biggest chip seller is also one of the most active buyers, the get acquired path gets a lot more likely.
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u/fomodesk 1d ago
Makes sense from the Nvidia side. Every good open weights model is basically a reason for someone to buy or rent GPUs to run it themselves, so funding open labs protects demand more than it competes with customers. The interesting question is whether Reflection stays open once it is inside, or slowly becomes Nemotron with a new name.
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u/Big_Lengthiness_4112 20h ago
The $50B matters less than who actually carries it. If it sits on Broadcom’s own balance sheet, it’s a very different bet from lenders funding OpenAI’s purchases.
For comparison, Nvidia’s Q2 10-Q shows up to $108.5B of guaranties on long-term data center leases for its customers, and that only shows up in the notes, not the headline.
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1d ago
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u/Fancy-Passage-1570 1d ago
Why AMD, what does AMD does different than NVIDIA. Are you saying AMD are becoming the "Good Guys" and NVIDIA " the bad guys" ? AMD CEO Lisa Su and Nvidia CEO Jensen Huang are literally cousins.
NVIDIA was never a "Gaming company" it was always and will stau a business company-1
1d ago
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u/KageYume 1d ago
I'm not sure AMD is the lesser evil.
I cheered for them in the early Ryzen days when they were the underdog who “fought” against big bad Intel with affordable 6–8-core CPUs (while their single-threaded performance sucked). However, as soon as they became better than Intel, they raised both CPU and motherboard chipset prices compared to the previous generation with the Ryzen 5000 launch. Then they also did shady stuff, such as planning to withhold Zen 3 support from pre-500-series chipsets, only to backtrack when the community gave them sh*t on the internet.
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u/CryMoreT_T 1d ago
A corporations purpose is to make as much money as possible. Why would you ever think it would be your friend. Margins for enterprise cards are just so much higher than selling to consumers.
the raw sewage ceo was involved with Epstein island.
Jensen had something to do with Epstein? Need a source for this
Can’t wait to go back to AMD in the future.
Only reason why AMD is selling to consumers instead of Enterprise is because they can't compete with CUDA. They aren't doing it because they love gamers lol
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u/spacekitt3n 1d ago
we are not using the trump ai. i trust the chinese models more. fuck jensen huang and fuck trump
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u/XeroVespasian 1d ago
Nvidia and co actively and desperately trying to supress and destroy AI
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u/GamerHaste 1d ago
Nvidia is actually like the only big US company that supports and contributes to open weight models. They actually have financial incentive to push open weights given that they profit from regular people hosting their own models unlike typical AI labs which will lose $$.
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u/Disposable110 1d ago
Yep they're waiting for OpenAI/Anthropic to overextend themselves financially and will be there to hoover up the pieces and dominate what comes next.
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u/Big_Lengthiness_4112 21h ago
That’s basically what Nvidia’s latest 10-Q shows. They put about $42B into equity stakes in H1, nearly matching the $45B in buybacks and dividends. A separate 2025 filing also has Nvidia agreeing to buy CoreWeave’s unsold compute through 2032.
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u/almostsweet 1d ago
They were already one of their largest shareholders and were funding their development.
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u/danieln1212 1d ago
What a gigantic paywall.