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David
4.4K posts
David
@Dav_Vigbe
Food Technologist | TRCN-Certified Teacher | Co-founder @ Beta-rich Foods | Entrepreneur | Agribusiness • Research | Badagry, Lagos 🇳🇬.
Nigeria Katılım Ağustos 2016
3.4K Takip Edilen3.3K Takipçiler
@FabrizioRomano I don't think any team can defeat this France. Just give them the trophy
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👽💥 8 goals in 6 games at 2026 World Cup. Unstoppable Kylian Mbappé.
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Small accounts, are you active?...
Say Hi 👋.
Let's engaging with you now
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We Messi fans are for Morocco tonight. Our African brothers needs our support
Africa First@AfricaFirsts
All true Africans must support Morocco 🇲🇦 against France tonight.
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lol, i've been here since 2014.
I remember Phyno use to follow me that year cause of my sweet comment on his post😅😂
I lost the account but later recovered it after few years.
David@Dav_Vigbe
Imagine being here since 2016 with just 1400 followers. Only come around to read people's post, laugh and log out. 6days ago, I got verified. Thanks to all who followed and engaged me. 😌.
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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-…
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E get impression wey you go see liver go cut you,I swear
David@Dav_Vigbe
Pls where do you guys get this huge impression from. Help a soul pls😌😌
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