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devcycle

@dev__cycle

looking for better software and bike rides

sf Присоединился Kasım 2023
243 Подписки48 Подписчики
devcycle
devcycle@dev__cycle·
@scaling01 "well beyond median" is quite the understatement
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Lisan al Gaib
Lisan al Gaib@scaling01·
Mythos is underhyped and overhyped at the same time it's not even close to AGI but coding and math is already well beyond median human performance and close to superhuman which is why I also don't like the term AGI it's a completely useless term because when you achieve AGI, these systems will have aspects that are so far beyond superhuman it's not even funny
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devcycle
devcycle@dev__cycle·
what
devcycle tweet media
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devcycle
devcycle@dev__cycle·
@teortaxesTex i think this is the best natural test i've seen yet of the "model degradation" phenomenon being psychological - people genuinely just get accustomed to new levels of intelligence *so fast*
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Teortaxes▶️ (DeepSeek 推特🐋铁粉 2023 – ∞)
Fable will be the most mythologized model this year probably The first LLM we've had a chance to be awed by but not enough time to find the wrinkles The hedonic treadmill is real, people get bored with miracles easily. Unless you instantly take them away
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devcycle
devcycle@dev__cycle·
@EgeErdil2 and business value is based on profit, not flops. it's probably not a terrible proxy, but it's obvious that nvidia has better margins
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devcycle
devcycle@dev__cycle·
@EgeErdil2 the long tail of random small "AI" applications run on CUDA only, but the non-OAI big bois (e.g. gemini/claude training/inference) are diversified to TPU/Trainium. I expect the big ones to 📈 and the long tail to 📉 I do not think the markets are correct here fwiw
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Ege Erdil
Ege Erdil@EgeErdil2·
NVDA datacenter revenue growth has been tracking my forecast from april 2025 that gave timelines to remote work automation on the order of 20 years i had argued an exponential forecast was too bullish and a linear one too bearish, and projected the intermediate curve
Ege Erdil tweet media
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devcycle
devcycle@dev__cycle·
@EgeErdil2 so you think gemini and claude are primarily inference on nvidia? i think all the evidence points to TPUs
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devcycle
devcycle@dev__cycle·
@EgeErdil2 i refuse to believe that TPUs (which are training gemini and claude models) are a rounding error
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Ege Erdil
Ege Erdil@EgeErdil2·
@dev__cycle cerebras doesn't have enough scale to produce any relevant quantity of chips, which is being accurately priced by the markets all compute producers other than nvidia are a rounding error right now
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devcycle ретвитнул
rahul
rahul@0interestrates·
found this banger on instagram
rahul tweet media
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devcycle
devcycle@dev__cycle·
@EgeErdil2 ah true. but i don't see any reason to extrapolate that to "nvidia will be the bottleneck to full automation" - all major labs are significantly on TPUs, Cerebras, maybe others. pretty sure OpenAI is designing its own chips as well.
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Ege Erdil
Ege Erdil@EgeErdil2·
@dev__cycle anthropic is using nvidia. they recently agreed w/ elon to use colossus 2, which is entirely nvidia chips
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devcycle
devcycle@dev__cycle·
@EgeErdil2 errr, sure, i mean this is just one deal. i just meant to call attention to the fact that Anthropic is not using nvidia, so anything assuming nvidia is a majority is assuming anthropic isn't winning. not to mention that openai is moving to cerebras chips.
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Ege Erdil
Ege Erdil@EgeErdil2·
@dev__cycle "tens of billions of dollars" is less than 10% of NVDA's annualized revenue rn
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devcycle
devcycle@dev__cycle·
@celestepoasts no? wouldn't anyone who actually cares about this going well do that?
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Celeste
Celeste@celestepoasts·
isn't it crazy oai just has this in their charter
Celeste tweet media
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