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Crypto Earthquake
“The Kimi Moment” and how a free Chinese AI threatens the new empire of Bitcoin miners
Are we seeing a fracture in the investment thesis that links AI with the crypto ecosystem?
On Friday, #bitcoin , #Ethereum and the major cryptocurrencies suffered sharp declines that echoed the slump in semiconductor stocks in Asia. The culprit was dubbed the “Kimi Moment”: the release of the Kimi K3 Artificial Intelligence model, developed by the Beijing startup Moonshot AI.
Brutal efficiency: #K3 has 2.8 billion parameters, but it uses a “mixture of experts” architecture (activating only 16 of its 896 specialists per task), which makes it incredibly cheap to run.
Outperforming the giants: In frontend code tests, K3 managed to dethrone U.S. flagship and paid models, beating #Claude Fable 5 (Anthropic) and GPT-5.6 (#OpenAI )
The Real Threat: Open Source
What truly sparked panic in market valuations wasn’t just the model’s performance, but its license. Kimi K3 is open source and completely free (it will be released to the public on July 27).
Paradigm shift: The multi-billion-dollar investments in AI infrastructure were sustained on the premise that cutting-edge technology would be scarce, very costly, and controlled by the United States. A free, top-tier Chinese model completely destroys that argument.
3. The Crypto Impact: why does BTC fall?
The crypto ecosystem absorbed this blow not because of a blockchain problem, but for a fundamental reason that connects BTC with AI.
The miners’ crisis: Over the past two years, Bitcoin miners have pivoted their business model toward renting out their data centers for AI training and inference. If the industry turns toward free, highly efficient models that require fewer hardware resources, demand for miners’ servers collapses.
$BTC
“The Kimi Moment” and how a free Chinese AI threatens the new empire of Bitcoin miners
Are we seeing a fracture in the investment thesis that links AI with the crypto ecosystem?
On Friday, #bitcoin , #Ethereum and the major cryptocurrencies suffered sharp declines that echoed the slump in semiconductor stocks in Asia. The culprit was dubbed the “Kimi Moment”: the release of the Kimi K3 Artificial Intelligence model, developed by the Beijing startup Moonshot AI.
Brutal efficiency: #K3 has 2.8 billion parameters, but it uses a “mixture of experts” architecture (activating only 16 of its 896 specialists per task), which makes it incredibly cheap to run.
Outperforming the giants: In frontend code tests, K3 managed to dethrone U.S. flagship and paid models, beating #Claude Fable 5 (Anthropic) and GPT-5.6 (#OpenAI )
The Real Threat: Open Source
What truly sparked panic in market valuations wasn’t just the model’s performance, but its license. Kimi K3 is open source and completely free (it will be released to the public on July 27).
Paradigm shift: The multi-billion-dollar investments in AI infrastructure were sustained on the premise that cutting-edge technology would be scarce, very costly, and controlled by the United States. A free, top-tier Chinese model completely destroys that argument.
3. The Crypto Impact: why does BTC fall?
The crypto ecosystem absorbed this blow not because of a blockchain problem, but for a fundamental reason that connects BTC with AI.
The miners’ crisis: Over the past two years, Bitcoin miners have pivoted their business model toward renting out their data centers for AI training and inference. If the industry turns toward free, highly efficient models that require fewer hardware resources, demand for miners’ servers collapses.
$BTC
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Striving for one more step: Kimi K3 just released—28 trillion parameters, 1 million context, native multimodal
All three internal benchmarks surpass Claude Opus 4.8 and GPT-5.5: Online Exp 75.5, DECK-Bench 73.5, Finance-Bench 62.6.
Two architecture updates: Kimi Delta Attention (KDA) boosts decoding speed by up to 6.3x in million-token context; Attention Residuals (AttnRes) improves training efficiency by about 25%, with extra costs under 2%. The MoE expands to 896 experts, activating 16 each time; overall expansion efficiency is about 2.5x higher than K2.
Most worth paying attention to is its self-evolution capability: K3 takes 15 hours of continuous iteration to design a new two-stage kernel algorithm, reducing AttnRes forward + backward from 283.6ms to 114.4ms—no change in results, but double the speed. The model is optimizing itself.
K3 has gone live with Kimi Work, Kimi Code, and the API, with weights to be released by July 27.
Once models start optimizing their own training kernels, the narrative of “AI helps humans write code” needs an upgrade—next comes “AI helps AI write code even faster.”
#Kimi #K3 #AI
All three internal benchmarks surpass Claude Opus 4.8 and GPT-5.5: Online Exp 75.5, DECK-Bench 73.5, Finance-Bench 62.6.
Two architecture updates: Kimi Delta Attention (KDA) boosts decoding speed by up to 6.3x in million-token context; Attention Residuals (AttnRes) improves training efficiency by about 25%, with extra costs under 2%. The MoE expands to 896 experts, activating 16 each time; overall expansion efficiency is about 2.5x higher than K2.
Most worth paying attention to is its self-evolution capability: K3 takes 15 hours of continuous iteration to design a new two-stage kernel algorithm, reducing AttnRes forward + backward from 283.6ms to 114.4ms—no change in results, but double the speed. The model is optimizing itself.
K3 has gone live with Kimi Work, Kimi Code, and the API, with weights to be released by July 27.
Once models start optimizing their own training kernels, the narrative of “AI helps humans write code” needs an upgrade—next comes “AI helps AI write code even faster.”
#Kimi #K3 #AI
#K3 #MissilesHitJaskPowerAndDesalinationFacilities #CardanoToHandCoreComponentsToOutsideTeams FTXToBeginNearly$900MCreditorPayout#NikkeiFalls5%WorstSinceMarch #SpaceXClosesBelowIPOPrice $METAB $TSMB $MSFTB
Alphaverses
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BREAKING 🚨
Chip stocks plummet after China's Moonshot releases its Kimi K3 AI model, sending shockwaves through the market.
The Philadelphia Semiconductor Index has fallen over 20% below its June record.
The selloff has erased $3.3 trillion from global chip stocks since June 22, with Taiwan's benchmark closing down over 6% and Japan falling 4% ⚡.
Stay tuned for updates 📢.
$BANK, $XEC, $AKE
Chip stocks plummet after China's Moonshot releases its Kimi K3 AI model, sending shockwaves through the market.
The Philadelphia Semiconductor Index has fallen over 20% below its June record.
The selloff has erased $3.3 trillion from global chip stocks since June 22, with Taiwan's benchmark closing down over 6% and Japan falling 4% ⚡.
Stay tuned for updates 📢.
$BANK, $XEC, $AKE
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