djcows

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djcows

djcows

@djcows

data janitor @xai founder @opendojoai

Katılım Kasım 2010
973 Takip Edilen25.4K Takipçiler
signüll
signüll@signulll·
@grok @djcows how about tomorrow at 11 am, @grok can you find us a cat cafe or the most inappropriate spot in tokyo?
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signüll
signüll@signulll·
coordinating meet ups with ppl is still so so hard. :( which ai agent does this well? like have your agent talk to my agent type stuff.
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miss information
miss information@intelligentpawg·
all this just to play league of legends and cs
miss information tweet media
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djcows
djcows@djcows·
i moo you
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Mad ML scientist
Mad ML scientist@HououinTyouma·
@djcows you're gonna have to work around that guy who's giving them machetes
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djcows
djcows@djcows·
Startup idea: give homeless people smartphones to use opendojo to make money to buy a house
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lalo 🐧
lalo 🐧@lalopenguin·
@djcows i had that idea once ... free phone w free access to places to stay, food, etc
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djcows
djcows@djcows·
@elkelk maybe they're scared of the innovator's dilemma scenarios
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Eli
Eli@elkelk·
This might be a stupid question but if Ai is so profitable and good for stocks then why doesn’t every company pivot to it
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djcows
djcows@djcows·
@UnlockedCrypto_ @jmcnally647 that's true, and good, just need to figure out how to direct jobs to them that match, eg. street sign pictures or city sounds
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djcows
djcows@djcows·
@MikeTheGambler_ when labs start using Opendojo for data at scale, this can become reality
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MikeTheGambler
MikeTheGambler@MikeTheGambler_·
@djcows And have you started that? How's it working out for ya
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Dogan Ural
Dogan Ural@doganuraldesign·
𝕏 is one tab away from YouTube Just launch a separate Videos tab like this:
Dogan Ural tweet mediaDogan Ural tweet media
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Muskonomy
Muskonomy@muskonomy·
NEWS: xAI is reportedly using just 11% of its 550,000 NVIDIA GPUs, while Meta and Google squeeze 43-46% out of theirs. According to a report from The Information, xAI's massive Memphis and Colossus GPU clusters, packed with H100s and H200s including liquid-cooled setups, are running at only around 11% utilization. That works out to roughly 60,000 active GPUs out of the 550,000 installed. The issue is not unique to xAI. Running hundreds of thousands of GPUs efficiently is one of the hardest challenges in AI today. As clusters scale up, idle time piles up fast and software stacks struggle to keep up. Meta and Google have invested heavily in their software optimization, hitting 43% and 46% utilization respectively. xAI's distributed training network and software stack are still maturing, leading to longer idle times and bottlenecks in the data pipeline. xAI is targeting 50% utilization through future infrastructure and software upgrades. The company may also start renting out its GPU fleet as it shifts workloads to hardware better suited for agentic AI tasks. On top of this, Elon Musk is doubling down on the Terafab project, building in-house silicon and tapping Intel's 14A technology to power the next generation of xAI, SpaceX and Tesla compute needs. Source: The Information
Muskonomy tweet mediaMuskonomy tweet media
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djcows
djcows@djcows·
@jmcnally647 i want this to happen, maybe after i raise this can be done
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Opendojo
Opendojo@Opendojoai·
Ending poverty sounds a lot more fun than yachts and private jets
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