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Head burn 🔥 Watin i dey think no pass how i won take get 5 Million impressions🤦♂️ Abeg make unna engage Mutuals and None Mutuals 🙏
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DCSN ORIGINALS
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DCSN ORIGINALS
@DCSNORIGINALS
DCSN ORIGINALS 👕🔥— Timeless designs for those who move different. Wear the vision. Own the moment. Shop the culture 🛒
Delta state Присоединился Haziran 2026
1.9K Подписки1.1K Подписчики
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Most people buy phones like they support Chelsea FC
Pure emotion. No logic.
That’s why they regret it later.
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Jude Bellingham is competing for the Top scorers award with Mbappe, Messi, Kane and Haaland and he’s not even a striker.
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A loyal community is built on consistency, respect, and genuine engagement. Every interaction matters, I just hit 1k followers and 500 verified followers Real progress.🥳
Thanks to you all who never stops supporting i really do appreciate 🙏😭
Follow👉 @DCSNORIGINALS
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@DCSNORIGINALS Cngrats bro...
lets now push for greater heights 🎉🎉🎉🎉🎉
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It's one of those nights... 👀🌙
Sleep can wait. Tell me what's really on your mind tonight. 😏✨ #LateNightVibes"
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DCSN ORIGINALS ретвитнул
Funny enough after spending 8 years studying Engineering i forgot most of the times i am a Chemical Engineer, Omo Nigeria let it not be to waste.
1 year Asuu, 1 year Corona, 1 year spill + normal 5 year academic journey= 8years
Abuja, Nigeria 🇳🇬 English
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A good day to my mutuals and a best day to all Argentina haters.
Abuja, Nigeria 🇳🇬 English
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Aaron Burnett@aaronburnett
Grok 4.5 is looking like a success with help from Cursor data but underneath the surface we expect future Grok/Cursor model training is likely to speed up in the coming months. We've spent several months getting up to speed on the SpaceXAI business, especially the tech underneath it. The C rewrite was under appreciated by the investor community so we dug in to quantify its impact. including building a physics first model that functions as a stopwatch for the SpaceXAI model factory. Bottomline: C-rewrite gets SpaceXAI faster model cycles, leveraging 33% more tokens/second/GPU against SOTA competition resulting in the potential to shipping new models every ~3.5 weeks. two core learnings from this modeling exercise: 1: the training cycle speed up is primarily coming from RL (not pretraining) where the increased tokens/second/GPU advantage can shave up 2+ weeks off full model training cycle. 2: the rewrite itself should compound the time savings as model sizes grow. at ~2T shaving off 2-3 weeks, ~8 weeks at 6T, and 15 weeks at 10T. Note: a 20T parameter model likely runs into a data bottleneck prior to a training speed bottleneck but the directional advantage stands. Also we assume tokens/second/gpu advantage will melt over time as competitors try to match it. when you do the math, in true SpaceX and Elon fashion, it looks like they are attempting to build a SOTA model factory that can pump out bigger models faster than anyone else. Full analysis here for the public: research.33fg.com/analysis/what-…
ZXX
Make God see person through 🤲
Gabby🇫🇷@thegabbyvibes
99% of the time , I dey brainstorm how to guide 🙂↔️🙂↔️🙂↔️
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