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MindOfMarket
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$MEITUAN OPENS SOURCE TRILLION-PARAMETER AI MODEL LONGCAT-2.0 ๐Ÿš€ This open-source release of LongCat-2.0 with 1.6T parameters and innovative sparse attention architecture signals a new phase in domestic AI infrastructure. The modelโ€™s successful inference on a 50,000-card domestic cluster breaks prior hardware constraints. Volume and developer interest around Meituanโ€™s ecosystem are likely to spike as the industry digests this capability leap. How do you see this affecting the broader AI narrative in your portfolio? Not financial advice. Always manage your risk. #MEITUAN #AI #OpenSource #TechBreakthrough ๐Ÿš€
$MEITUAN OPENS SOURCE TRILLION-PARAMETER AI MODEL LONGCAT-2.0 ๐Ÿš€

This open-source release of LongCat-2.0 with 1.6T parameters and innovative sparse attention architecture signals a new phase in domestic AI infrastructure. The modelโ€™s successful inference on a 50,000-card domestic cluster breaks prior hardware constraints.

Volume and developer interest around Meituanโ€™s ecosystem are likely to spike as the industry digests this capability leap. How do you see this affecting the broader AI narrative in your portfolio?

Not financial advice. Always manage your risk.

#MEITUAN #AI #OpenSource #TechBreakthrough

๐Ÿš€
HERMES MOA 2.0 JUST DROPPED โ€” $AI ENSEMBLE MODEL BEATS GPT AND CLAUDE ๐Ÿ”ฅ Nous Research released an open-source framework that combines GPT, Claude, and DeepSeek into one output โ€” and it outperforms any single model on reasoning and coding benchmarks. The ensemble approach treats each AI as a specialist, not a jack-of-all-trades. This is the first major open-weight release to challenge closed models on performance without locking you into one API. For devs, it means frontier-level reasoning at a fraction of the cost. For the crypto and AI sector, it signals that model diversity โ€” not dominance โ€” might define the next phase. Are you betting on the agents or the foundation models here? Not financial advice. Always manage your risk. #AI #MixtureOfAgents #OpenSource #CryptoAI ๐Ÿ”ฅ
HERMES MOA 2.0 JUST DROPPED โ€” $AI ENSEMBLE MODEL BEATS GPT AND CLAUDE ๐Ÿ”ฅ

Nous Research released an open-source framework that combines GPT, Claude, and DeepSeek into one output โ€” and it outperforms any single model on reasoning and coding benchmarks. The ensemble approach treats each AI as a specialist, not a jack-of-all-trades.

This is the first major open-weight release to challenge closed models on performance without locking you into one API. For devs, it means frontier-level reasoning at a fraction of the cost. For the crypto and AI sector, it signals that model diversity โ€” not dominance โ€” might define the next phase.

Are you betting on the agents or the foundation models here?

Not financial advice. Always manage your risk.

#AI #MixtureOfAgents #OpenSource #CryptoAI

๐Ÿ”ฅ
ยท
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1ใ€่ƒŒๆ™ฏ ไปŠๆ—ฅๅผ€ๆบๆจกๅž‹็”Ÿๆ€ๆœ€ๅ€ผๅพ—ๅ…ณๆณจ็š„ๅ˜ๅŒ–๏ผŒไธๆ˜ฏๅ•ไธ€ๆจกๅž‹ๅ‚ๆ•ฐๅ†ๅˆ›ๆ–ฐ้ซ˜๏ผŒ่€Œๆ˜ฏๅ‚ไธŽ่€…็ป“ๆž„ๆญฃๅœจๆ˜Žๆ˜พๆ‰ฉๅฎนใ€‚่ฟ‡ๅŽป๏ผŒๅธ‚ๅœบๆ›ดๅคš่š็„ฆๅฐ‘ๆ•ฐๅคด้ƒจๅฎž้ชŒๅฎค๏ผ›็Žฐๅœจ๏ผŒๅผ€ๆบ้˜ต่ฅๅทฒๅปถไผธๅˆฐๅ…จ็ƒๆจกๅž‹ๅ…ฌๅธใ€ไธปๆƒAI็ป„็ป‡ใ€ไบ‘ไธŽ่Šฏ็‰‡ๅŽ‚ๅ•†๏ผŒไปฅๅŠๆ‹ฅๆœ‰ๆ˜Ž็กฎๅœบๆ™ฏ้œ€ๆฑ‚็š„ไบงๅ“ๅ…ฌๅธใ€‚Zyphraใ€Cohereใ€Poolside ็ญ‰ๅๅญ—้›†ไธญๅ‡บ็Žฐ๏ผŒ่ฏดๆ˜Žโ€œ่ฐๅœจๅšๆจกๅž‹โ€่ฟ™ไปถไบ‹๏ผŒๆญฃไปŽๅฐ‘ๆ•ฐ็Žฉๅฎถไธปๅฏผ่ฝฌๅ‘ๅคšๆž็ซžไบ‰ใ€‚ไธŽๆญคๅŒๆ—ถ๏ผŒNVIDIAใ€Googleใ€้˜ฟ้‡Œ็ญ‰ๅทจๅคดไนŸๅนถๆœช็ผบๅธญ๏ผŒๅฎƒไปฌๅˆ†ๅˆซไปŽ็ฎ—ๅŠ›ใ€็”Ÿๆ€ๅ…ฅๅฃๅ’Œๅนณๅฐๆˆ˜็•ฅ่ง’ๅบฆๅˆ‡ๅ…ฅ๏ผŒๆŽจๅŠจๅผ€ๆบๆจกๅž‹ไปŽๆŠ€ๆœฏๅฑ•็คบ่ตฐๅ‘ไบงไธšๅธƒๅฑ€ใ€‚๐Ÿš€ 2ใ€ๆ ธๅฟƒๅˆ†ๆž ่ฟ™่ฝฎๅŠจๆ€้‡Šๆ”พไบ†ไธ‰ไธชๆ˜Ž็กฎไฟกๅทใ€‚็ฌฌไธ€๏ผŒๅผ€ๆบๆจกๅž‹็ซžไบ‰ๆญฃไปŽโ€œๅ‚ๆ•ฐ่ง„ๆจกๆฏ”ๆ‹ผโ€่ฝฌๅ‘โ€œ็”Ÿๆ€ๅนฟๅบฆๆฏ”ๆ‹ผโ€ใ€‚ไพ‹ๅฆ‚ Cohere ๅผ€ๆบ Command A+๏ผŒไธไป…ๅผบ่ฐƒๅคงๆจกๅž‹่ƒฝๅŠ›๏ผŒ่ฟ˜่ฆ†็›–ๅคšๆจกๆ€ใ€ๅคš่ฏญ่จ€ไธŽๆ™บ่ƒฝไฝ“ๆ–นๅ‘๏ผŒ่ฏดๆ˜Žๅผ€ๆบๆจกๅž‹ๅทฒไธๅชๆ˜ฏ็ ”็ฉถ่ต„ไบง๏ผŒ่€Œๆ˜ฏ็ž„ๅ‡†็œŸๅฎžไผไธšๅบ”็”จใ€‚็ฌฌไบŒ๏ผŒๆžถๆž„ๅˆ›ๆ–ฐไปๅœจๅŠ ้€Ÿใ€‚NVIDIA ๆŽจๅ‡บ้‡‡็”จ LatentMoE ็š„ๆ–ฐๆจกๅž‹๏ผŒๅนถ่ฐƒๆ•ด่ฎธๅฏ่ฏ็ญ–็•ฅ๏ผŒๅๆ˜ ๅ‡บ่กŒไธšๆญฃๅŒๆญฅไผ˜ๅŒ–ๆ€ง่ƒฝใ€ๆŽจ็†ๆˆๆœฌๅ’Œๅฏ็”จๆ€ง๏ผŒๅฐคๅ…ถๆ˜ฏ MoE ่ทฏ็บฟไป่ขซๅนฟๆณ›็œ‹ๅฅฝ๏ผŒๅ› ไธบๅฎƒๆ›ด้€‚ๅˆๅœจๅคง่ƒฝๅŠ›ไธŽ้ƒจ็ฝฒๆ•ˆ็އไน‹้—ดๅฏปๆ‰พๅนณ่กกใ€‚็ฌฌไธ‰๏ผŒๅž‚็›ดๅŒ–่ถ‹ๅŠฟๆญฃๅœจๅขžๅผบใ€‚JetBrainsใ€Zedใ€Kreaใ€Photoroom ่ฟ™็ฑปไบงๅ“ๅ…ฌๅธ่ฎญ็ปƒๅฐ่€Œไธ“็š„ๆจกๅž‹๏ผŒๆ„ๅ‘ณ็€ๆœชๆฅ็ซžไบ‰ไธไธ€ๅฎš็”ฑโ€œๆœ€ๅคงๆจกๅž‹โ€่ƒœๅ‡บ๏ผŒ่€Œๅฏ่ƒฝ็”ฑโ€œๆœ€่ดด่ฟ‘ๅœบๆ™ฏ็š„ๆจกๅž‹โ€่Žทๅพ—ๆ›ด้ซ˜ๅ•†ไธš่ฝฌๅŒ–ใ€‚ 3ใ€ๆฝœๅœจๅฝฑๅ“ ๅฏนๅผ€ๅ‘่€…่€Œ่จ€๏ผŒๆจกๅž‹้€‰ๆ‹ฉๅฐ†ๆ›ดๅŠ ไธฐๅฏŒ๏ผŒๅผ€ๆบ่ฎธๅฏ่ฏ็š„ๆ”พๅฎฝไนŸๆœ‰ๅŠฉไบŽไบŒๆฌกๅผ€ๅ‘ๅ’Œๅ•†็”จ่ฝๅœฐ๏ผŒ้™ไฝŽๅฏนๅ•ไธ€้—ญๆบAPI็š„ไพ่ต–ใ€‚ๅฏนไผไธš่€Œ่จ€๏ผŒๆœชๆฅ้‡‡่ดญ้€ป่พ‘ๅฏ่ƒฝไปŽโ€œ่ฟฝ้€ๆœ€ๅผบๆจกๅž‹โ€่ฝฌๅ‘โ€œๅŒน้…ๆˆๆœฌใ€ๅˆ่ง„ไธŽๅœบๆ™ฏๆ•ˆๆžœโ€ใ€‚ๅฏนๅŠ ๅฏ†ไธŽWeb3่กŒไธš่€Œ่จ€๏ผŒ่ฟ™็ง่ถ‹ๅŠฟๅŒๆ ท้‡่ฆ๏ผšไธ€ๆ–น้ข๏ผŒๆ›ดๅคšๅผ€ๆบๆจกๅž‹ๆ„ๅ‘ณ็€้“พไธŠAIใ€ๅŽปไธญๅฟƒๅŒ–ๆŽจ็†ๅ’ŒAI AgentๅŸบ็ก€่ฎพๆ–ฝๆœ‰ไบ†ๆ›ดๅนฟๆณ›็š„ๅบ•ๅบง๏ผ›ๅฆไธ€ๆ–น้ข๏ผŒๅคšๅ›ฝๅ’Œๅคš็ป„็ป‡ๅ‚ไธŽ๏ผŒไนŸไผšๅผบๅŒ–โ€œไธปๆƒAIโ€ๅ’ŒๆœฌๅœฐๅŒ–้ƒจ็ฝฒ้œ€ๆฑ‚๏ผŒไธบๅˆ†ๅธƒๅผ็ฎ—ๅŠ›ใ€ๆ•ฐๆฎ็กฎๆƒๅ’Œ้š็ง่ฎก็ฎ—ๅธฆๆฅๆ–ฐๅขžๅ™ไบ‹ใ€‚ๆ€ปไฝ“็œ‹๏ผŒไปŠๆ—ฅ่ฟ™ๆ‰นๆ›ดๆ–ฐไผ ้€’ๅ‡บ็š„ไธป็บฟ้žๅธธๆธ…ๆ™ฐ๏ผšๅผ€ๆบAIๅทฒ่ฟ›ๅ…ฅ็”Ÿๆ€ๆ‰ฉๅผ ้˜ถๆฎต๏ผŒๆœชๆฅ่ƒœ่ดŸๆ‰‹ๅฐ†ไธๅชๅœจๆจกๅž‹ๆœฌ่บซ๏ผŒๆ›ดๅœจ่ฎธๅฏ่ฏใ€ๅผ€ๅ‘่€…็คพๅŒบใ€้ƒจ็ฝฒไพฟๅˆฉๆ€งไธŽ่กŒไธš้€‚้…่ƒฝๅŠ›ใ€‚๐Ÿ“Œ #AI #OpenSource #Crypto
1ใ€่ƒŒๆ™ฏ

ไปŠๆ—ฅๅผ€ๆบๆจกๅž‹็”Ÿๆ€ๆœ€ๅ€ผๅพ—ๅ…ณๆณจ็š„ๅ˜ๅŒ–๏ผŒไธๆ˜ฏๅ•ไธ€ๆจกๅž‹ๅ‚ๆ•ฐๅ†ๅˆ›ๆ–ฐ้ซ˜๏ผŒ่€Œๆ˜ฏๅ‚ไธŽ่€…็ป“ๆž„ๆญฃๅœจๆ˜Žๆ˜พๆ‰ฉๅฎนใ€‚่ฟ‡ๅŽป๏ผŒๅธ‚ๅœบๆ›ดๅคš่š็„ฆๅฐ‘ๆ•ฐๅคด้ƒจๅฎž้ชŒๅฎค๏ผ›็Žฐๅœจ๏ผŒๅผ€ๆบ้˜ต่ฅๅทฒๅปถไผธๅˆฐๅ…จ็ƒๆจกๅž‹ๅ…ฌๅธใ€ไธปๆƒAI็ป„็ป‡ใ€ไบ‘ไธŽ่Šฏ็‰‡ๅŽ‚ๅ•†๏ผŒไปฅๅŠๆ‹ฅๆœ‰ๆ˜Ž็กฎๅœบๆ™ฏ้œ€ๆฑ‚็š„ไบงๅ“ๅ…ฌๅธใ€‚Zyphraใ€Cohereใ€Poolside ็ญ‰ๅๅญ—้›†ไธญๅ‡บ็Žฐ๏ผŒ่ฏดๆ˜Žโ€œ่ฐๅœจๅšๆจกๅž‹โ€่ฟ™ไปถไบ‹๏ผŒๆญฃไปŽๅฐ‘ๆ•ฐ็Žฉๅฎถไธปๅฏผ่ฝฌๅ‘ๅคšๆž็ซžไบ‰ใ€‚ไธŽๆญคๅŒๆ—ถ๏ผŒNVIDIAใ€Googleใ€้˜ฟ้‡Œ็ญ‰ๅทจๅคดไนŸๅนถๆœช็ผบๅธญ๏ผŒๅฎƒไปฌๅˆ†ๅˆซไปŽ็ฎ—ๅŠ›ใ€็”Ÿๆ€ๅ…ฅๅฃๅ’Œๅนณๅฐๆˆ˜็•ฅ่ง’ๅบฆๅˆ‡ๅ…ฅ๏ผŒๆŽจๅŠจๅผ€ๆบๆจกๅž‹ไปŽๆŠ€ๆœฏๅฑ•็คบ่ตฐๅ‘ไบงไธšๅธƒๅฑ€ใ€‚๐Ÿš€

2ใ€ๆ ธๅฟƒๅˆ†ๆž

่ฟ™่ฝฎๅŠจๆ€้‡Šๆ”พไบ†ไธ‰ไธชๆ˜Ž็กฎไฟกๅทใ€‚็ฌฌไธ€๏ผŒๅผ€ๆบๆจกๅž‹็ซžไบ‰ๆญฃไปŽโ€œๅ‚ๆ•ฐ่ง„ๆจกๆฏ”ๆ‹ผโ€่ฝฌๅ‘โ€œ็”Ÿๆ€ๅนฟๅบฆๆฏ”ๆ‹ผโ€ใ€‚ไพ‹ๅฆ‚ Cohere ๅผ€ๆบ Command A+๏ผŒไธไป…ๅผบ่ฐƒๅคงๆจกๅž‹่ƒฝๅŠ›๏ผŒ่ฟ˜่ฆ†็›–ๅคšๆจกๆ€ใ€ๅคš่ฏญ่จ€ไธŽๆ™บ่ƒฝไฝ“ๆ–นๅ‘๏ผŒ่ฏดๆ˜Žๅผ€ๆบๆจกๅž‹ๅทฒไธๅชๆ˜ฏ็ ”็ฉถ่ต„ไบง๏ผŒ่€Œๆ˜ฏ็ž„ๅ‡†็œŸๅฎžไผไธšๅบ”็”จใ€‚็ฌฌไบŒ๏ผŒๆžถๆž„ๅˆ›ๆ–ฐไปๅœจๅŠ ้€Ÿใ€‚NVIDIA ๆŽจๅ‡บ้‡‡็”จ LatentMoE ็š„ๆ–ฐๆจกๅž‹๏ผŒๅนถ่ฐƒๆ•ด่ฎธๅฏ่ฏ็ญ–็•ฅ๏ผŒๅๆ˜ ๅ‡บ่กŒไธšๆญฃๅŒๆญฅไผ˜ๅŒ–ๆ€ง่ƒฝใ€ๆŽจ็†ๆˆๆœฌๅ’Œๅฏ็”จๆ€ง๏ผŒๅฐคๅ…ถๆ˜ฏ MoE ่ทฏ็บฟไป่ขซๅนฟๆณ›็œ‹ๅฅฝ๏ผŒๅ› ไธบๅฎƒๆ›ด้€‚ๅˆๅœจๅคง่ƒฝๅŠ›ไธŽ้ƒจ็ฝฒๆ•ˆ็އไน‹้—ดๅฏปๆ‰พๅนณ่กกใ€‚็ฌฌไธ‰๏ผŒๅž‚็›ดๅŒ–่ถ‹ๅŠฟๆญฃๅœจๅขžๅผบใ€‚JetBrainsใ€Zedใ€Kreaใ€Photoroom ่ฟ™็ฑปไบงๅ“ๅ…ฌๅธ่ฎญ็ปƒๅฐ่€Œไธ“็š„ๆจกๅž‹๏ผŒๆ„ๅ‘ณ็€ๆœชๆฅ็ซžไบ‰ไธไธ€ๅฎš็”ฑโ€œๆœ€ๅคงๆจกๅž‹โ€่ƒœๅ‡บ๏ผŒ่€Œๅฏ่ƒฝ็”ฑโ€œๆœ€่ดด่ฟ‘ๅœบๆ™ฏ็š„ๆจกๅž‹โ€่Žทๅพ—ๆ›ด้ซ˜ๅ•†ไธš่ฝฌๅŒ–ใ€‚

3ใ€ๆฝœๅœจๅฝฑๅ“

ๅฏนๅผ€ๅ‘่€…่€Œ่จ€๏ผŒๆจกๅž‹้€‰ๆ‹ฉๅฐ†ๆ›ดๅŠ ไธฐๅฏŒ๏ผŒๅผ€ๆบ่ฎธๅฏ่ฏ็š„ๆ”พๅฎฝไนŸๆœ‰ๅŠฉไบŽไบŒๆฌกๅผ€ๅ‘ๅ’Œๅ•†็”จ่ฝๅœฐ๏ผŒ้™ไฝŽๅฏนๅ•ไธ€้—ญๆบAPI็š„ไพ่ต–ใ€‚ๅฏนไผไธš่€Œ่จ€๏ผŒๆœชๆฅ้‡‡่ดญ้€ป่พ‘ๅฏ่ƒฝไปŽโ€œ่ฟฝ้€ๆœ€ๅผบๆจกๅž‹โ€่ฝฌๅ‘โ€œๅŒน้…ๆˆๆœฌใ€ๅˆ่ง„ไธŽๅœบๆ™ฏๆ•ˆๆžœโ€ใ€‚ๅฏนๅŠ ๅฏ†ไธŽWeb3่กŒไธš่€Œ่จ€๏ผŒ่ฟ™็ง่ถ‹ๅŠฟๅŒๆ ท้‡่ฆ๏ผšไธ€ๆ–น้ข๏ผŒๆ›ดๅคšๅผ€ๆบๆจกๅž‹ๆ„ๅ‘ณ็€้“พไธŠAIใ€ๅŽปไธญๅฟƒๅŒ–ๆŽจ็†ๅ’ŒAI AgentๅŸบ็ก€่ฎพๆ–ฝๆœ‰ไบ†ๆ›ดๅนฟๆณ›็š„ๅบ•ๅบง๏ผ›ๅฆไธ€ๆ–น้ข๏ผŒๅคšๅ›ฝๅ’Œๅคš็ป„็ป‡ๅ‚ไธŽ๏ผŒไนŸไผšๅผบๅŒ–โ€œไธปๆƒAIโ€ๅ’ŒๆœฌๅœฐๅŒ–้ƒจ็ฝฒ้œ€ๆฑ‚๏ผŒไธบๅˆ†ๅธƒๅผ็ฎ—ๅŠ›ใ€ๆ•ฐๆฎ็กฎๆƒๅ’Œ้š็ง่ฎก็ฎ—ๅธฆๆฅๆ–ฐๅขžๅ™ไบ‹ใ€‚ๆ€ปไฝ“็œ‹๏ผŒไปŠๆ—ฅ่ฟ™ๆ‰นๆ›ดๆ–ฐไผ ้€’ๅ‡บ็š„ไธป็บฟ้žๅธธๆธ…ๆ™ฐ๏ผšๅผ€ๆบAIๅทฒ่ฟ›ๅ…ฅ็”Ÿๆ€ๆ‰ฉๅผ ้˜ถๆฎต๏ผŒๆœชๆฅ่ƒœ่ดŸๆ‰‹ๅฐ†ไธๅชๅœจๆจกๅž‹ๆœฌ่บซ๏ผŒๆ›ดๅœจ่ฎธๅฏ่ฏใ€ๅผ€ๅ‘่€…็คพๅŒบใ€้ƒจ็ฝฒไพฟๅˆฉๆ€งไธŽ่กŒไธš้€‚้…่ƒฝๅŠ›ใ€‚๐Ÿ“Œ

#AI #OpenSource #Crypto
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๐Ÿ›ก๏ธ Cyber Security Linux Foundation and 19 massive orgsโ€”including AI labs and big banksโ€”just dropped Akrites... it's a new security layer to stop AI-powered attacks on open source. Big win for devs ๐Ÿ›ก๏ธ๐Ÿ’ป #OpenSource #CyberSecurity
๐Ÿ›ก๏ธ Cyber Security

Linux Foundation and 19 massive orgsโ€”including AI labs and big banksโ€”just dropped Akrites... it's a new security layer to stop AI-powered attacks on open source. Big win for devs ๐Ÿ›ก๏ธ๐Ÿ’ป

#OpenSource #CyberSecurity
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๐Ÿšจ China's AI Models Are Closing the Gap Fast GLM 5.2 just ranked #2 in long-cycle business simulation benchmarks. Kimi K2.7 and MiniMax M3? Mixed results โ€” but still in the fight. What the data shows: GLM 5.2 scores 91 vs Kimi K2.6's 81 on aggregate benchmarks โ€” with GLM dominating knowledge tasks at 67.2 vs 53.8. Yahoo Finance In cybersecurity benchmarks, GLM 5.2 beat Claude Code โ€” with MiniMax M3 and Kimi K2.7 scoring significantly lower, clustered closely together. Followin But here's the real story ๐Ÿ‘‡ GLM 5.2 costs just one-seventh of GPT-5.5 โ€” at a fraction of the price, open-weight Chinese models are now competitive with frontier closed-source APIs. 3Commas Why this matters for crypto & Web3: AI inference costs are dropping fast. When open-weight models match closed APIs at 1/7th the price: โ‘  AI agents become cheap enough to deploy on-chain at scale โ‘ก Decentralized AI projects get access to frontier-level models without paying OpenAI prices โ‘ข US AI dominance narrative starts cracking The geopolitical angle: US government just restricted GPT-5.6 rollout over security concerns. Meanwhile China's GLM 5.2 is open-weight โ€” anyone can run it, anywhere, no government approval needed. Censorship-resistant AI + cheap inference = exactly what Web3 needs. ๐Ÿ‘€ My take: The AI race isn't just US vs China anymore. It's open vs closed. And open is winning on price. Closed is still winning on raw capability โ€” for now. Watch this space. The gap is closing every month. Not financial advice. DYOR. Sources: BenchLM, Medium, Semgrep โ€” June 2026 #GLM #Kimi $BTC #MiniMax #OpenSource #CoinbroNews
๐Ÿšจ China's AI Models Are Closing the Gap Fast GLM 5.2 just ranked #2 in long-cycle business simulation benchmarks.
Kimi K2.7 and MiniMax M3? Mixed results โ€” but still in the fight.

What the data shows:
GLM 5.2 scores 91 vs Kimi K2.6's 81 on aggregate benchmarks โ€” with GLM dominating knowledge tasks at 67.2 vs 53.8. Yahoo Finance
In cybersecurity benchmarks, GLM 5.2 beat Claude Code โ€” with MiniMax M3 and Kimi K2.7 scoring significantly lower, clustered closely together. Followin
But here's the real story ๐Ÿ‘‡
GLM 5.2 costs just one-seventh of GPT-5.5 โ€” at a fraction of the price, open-weight Chinese models are now competitive with frontier closed-source APIs. 3Commas

Why this matters for crypto & Web3:
AI inference costs are dropping fast. When open-weight models match closed APIs at 1/7th the price:
โ‘  AI agents become cheap enough to deploy on-chain at scale

โ‘ก Decentralized AI projects get access to frontier-level models without paying OpenAI prices

โ‘ข US AI dominance narrative starts cracking
The geopolitical angle:
US government just restricted GPT-5.6 rollout over security concerns. Meanwhile China's GLM 5.2 is open-weight โ€” anyone can run it, anywhere, no government approval needed.
Censorship-resistant AI + cheap inference = exactly what Web3 needs. ๐Ÿ‘€

My take:
The AI race isn't just US vs China anymore.
It's open vs closed.
And open is winning on price. Closed is still winning on raw capability โ€” for now.
Watch this space. The gap is closing every month.

Not financial advice. DYOR.

Sources: BenchLM, Medium, Semgrep โ€” June 2026
#GLM #Kimi $BTC #MiniMax #OpenSource #CoinbroNews
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$GLM CRACKS TOP 3 AI MODELS WHILE COSTING A FRACTION OF RIVALS ๐Ÿ’Ž Body: The openโ€‘weight GLMโ€‘5.2 from Z.ai now ranks third globally on independent benchmarks, behind only two Anthropic systems and ahead of every OpenAI and Google model. The price gap is the real story: $1.40 per million input tokens against roughly $15 for Claude Opus 4.8 โ€” a tenโ€‘fold savings for teams running production workloads. This model runs on domestic chips, can be downloaded and modified, and sports a oneโ€‘millionโ€‘token window. Engineers who expected chip curbs to widen the gap are watching it shrink instead. How quickly will costโ€‘efficient open models reshape enterprise AI spending? Not financial advice. Always manage your risk. #GLM #AI #OpenSource #Disruption ๐Ÿ’Ž
$GLM CRACKS TOP 3 AI MODELS WHILE COSTING A FRACTION OF RIVALS ๐Ÿ’Ž

Body:
The openโ€‘weight GLMโ€‘5.2 from Z.ai now ranks third globally on independent benchmarks, behind only two Anthropic systems and ahead of every OpenAI and Google model. The price gap is the real story: $1.40 per million input tokens against roughly $15 for Claude Opus 4.8 โ€” a tenโ€‘fold savings for teams running production workloads.

This model runs on domestic chips, can be downloaded and modified, and sports a oneโ€‘millionโ€‘token window. Engineers who expected chip curbs to widen the gap are watching it shrink instead. How quickly will costโ€‘efficient open models reshape enterprise AI spending?

Not financial advice. Always manage your risk.

#GLM #AI #OpenSource #Disruption

๐Ÿ’Ž
Centralized code hosting risks are prompting devs like Matt Corallo to urge $BTC projects off GitHub after a Lightning ban. Decentralization isn't just for money. Move to self-hosted for control. ๐Ÿ›ก๏ธ #BitcoinDev #OpenSource Full story: https://cryptoversenews.eu/bitcoin/matt-corallo-urges-bitcoin-projects-to-exit-github-after-rus/
Centralized code hosting risks are prompting devs like Matt Corallo to urge $BTC projects off GitHub after a Lightning ban. Decentralization isn't just for money. Move to self-hosted for control. ๐Ÿ›ก๏ธ
#BitcoinDev #OpenSource

Full story: https://cryptoversenews.eu/bitcoin/matt-corallo-urges-bitcoin-projects-to-exit-github-after-rus/
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๐Ÿšจ๐Ÿ˜ฒUNSLOTH JUST COMPRESSED A 753 BILLION PARAMETER AI MODEL TO RUN ON A MAC. THIS CHANGES LOCAL AI FOREVER. GLM-5.2 โ€” one of the largest open AI models ever built โ€” just got compressed by Unsloth using extreme GGUF quantization. The result: smooth local deployment on a Mac. No cloud. No API costs. No data leaving your device. โ†’ 753B parameters is datacenter-scale AI โ€” Unsloth compressed it to consumer hardware level โ†’ GGUF format allows extreme model compression without destroying core performance โ†’ Local AI on this scale means developers and builders can run frontier-level models privately and for free For crypto and Web3 builders: this means on-device AI agents, private smart contract analysis, and zero-cost inference โ€” no more dependency on OpenAI or Anthropic APIs. What would you build if you had a 753B model running locally on your laptop? "The future of AI isn't in the cloud. Unsloth just proved it fits in your bag." โ€” CoinbroNews Analysis #Unsloth #GLM5 #LocalAI #GGUF #AITools #Web3 #OpenSource CoinbroNews | coinbronews.com
๐Ÿšจ๐Ÿ˜ฒUNSLOTH JUST COMPRESSED A 753 BILLION PARAMETER AI MODEL TO RUN ON A MAC. THIS CHANGES LOCAL AI FOREVER.

GLM-5.2 โ€” one of the largest open AI models ever built โ€” just got compressed by Unsloth using extreme GGUF quantization. The result: smooth local deployment on a Mac. No cloud. No API costs. No data leaving your device.
โ†’ 753B parameters is datacenter-scale AI โ€” Unsloth compressed it to consumer hardware level

โ†’ GGUF format allows extreme model compression without destroying core performance

โ†’ Local AI on this scale means developers and builders can run frontier-level models privately and for free
For crypto and Web3 builders: this means on-device AI agents, private smart contract analysis, and zero-cost inference โ€” no more dependency on OpenAI or Anthropic APIs.
What would you build if you had a 753B model running locally on your laptop?
"The future of AI isn't in the cloud. Unsloth just proved it fits in your bag." โ€” CoinbroNews Analysis
#Unsloth #GLM5 #LocalAI #GGUF #AITools #Web3 #OpenSource

CoinbroNews | coinbronews.com
Fable-5 ่ขซ็ฆๅ››ๅคฉ๏ผŒQwable ็ซ้€ŸๆŽฅ็ญ๐Ÿค– Anthropic ็š„ Claude Fable-5 ๅœจ 6 ๆœˆ 9 ๆ—ฅๅˆฐ 12 ๆ—ฅ็Ÿญๆšซๅ…ฌ้–‹ไบ†ๅ››ๅคฉ๏ผŒ็„ถๅพŒๅฐฑ่ขซ็พŽๅœ‹ๅ‡บๅฃ็ฎกๅˆถๅ‘ฝไปค็›ดๆŽฅ้—œไบ†ใ€‚ไฝ†้–‹ๆบ็คพ็พคๅ‹•ไฝœ่ถ…ๅฟซโ€”โ€”developer lordx64 ็›ดๆŽฅๅœจ HF ไธŠๆ”พไบ† Qwable-v1๏ผŒ็”จ Qwen3.6-35B-A3B ๅšๅบ•๏ผŒ่’ธ้ค›ไบ† Fable-5 ็š„ๅทฅๅ…ท่ชฟ็”จ่ปŒ่ทก๏ผŒๆœฌๅœฐๅฐฑ่ƒฝ่ท‘ใ€‚ 70GB ๆฌŠ้‡ๆช”๏ผŒ็›ฎๅ‰ๆฒ’ๆœ‰ Token๏ผŒ็ด”้–‹ๆบ้ …็›ฎใ€‚ไธ้Ž้€™็จฎใ€Œๅคงๆจกๅž‹่ขซๅฐ โ†’ ้–‹ๆบ็ซ‹ๅˆป่ฃœไฝใ€็š„่Š‚ๅฅ๏ผŒๅœจ 2026 ๅนดๅทฒ็ถ“ไธๆ˜ฏ็ฌฌไธ€ๆฌกไบ†ใ€‚AI x Crypto ็š„ๆ•˜ไบ‹ๅˆๅคšไบ†ๅ€‹็พๅฏฆๆกˆไพ‹๏ผšๅŽปไธญๅฟƒๅŒ–่จˆ็ฎ— + ๆœฌๅœฐ AI๏ผŒๅฏ่ƒฝๆ˜ฏๆœชไพ†่ถจๅ‹ขใ€‚ $AI $WEB3 #OpenSource $AI $WEB3
Fable-5 ่ขซ็ฆๅ››ๅคฉ๏ผŒQwable ็ซ้€ŸๆŽฅ็ญ๐Ÿค–

Anthropic ็š„ Claude Fable-5 ๅœจ 6 ๆœˆ 9 ๆ—ฅๅˆฐ 12 ๆ—ฅ็Ÿญๆšซๅ…ฌ้–‹ไบ†ๅ››ๅคฉ๏ผŒ็„ถๅพŒๅฐฑ่ขซ็พŽๅœ‹ๅ‡บๅฃ็ฎกๅˆถๅ‘ฝไปค็›ดๆŽฅ้—œไบ†ใ€‚ไฝ†้–‹ๆบ็คพ็พคๅ‹•ไฝœ่ถ…ๅฟซโ€”โ€”developer lordx64 ็›ดๆŽฅๅœจ HF ไธŠๆ”พไบ† Qwable-v1๏ผŒ็”จ Qwen3.6-35B-A3B ๅšๅบ•๏ผŒ่’ธ้ค›ไบ† Fable-5 ็š„ๅทฅๅ…ท่ชฟ็”จ่ปŒ่ทก๏ผŒๆœฌๅœฐๅฐฑ่ƒฝ่ท‘ใ€‚

70GB ๆฌŠ้‡ๆช”๏ผŒ็›ฎๅ‰ๆฒ’ๆœ‰ Token๏ผŒ็ด”้–‹ๆบ้ …็›ฎใ€‚ไธ้Ž้€™็จฎใ€Œๅคงๆจกๅž‹่ขซๅฐ โ†’ ้–‹ๆบ็ซ‹ๅˆป่ฃœไฝใ€็š„่Š‚ๅฅ๏ผŒๅœจ 2026 ๅนดๅทฒ็ถ“ไธๆ˜ฏ็ฌฌไธ€ๆฌกไบ†ใ€‚AI x Crypto ็š„ๆ•˜ไบ‹ๅˆๅคšไบ†ๅ€‹็พๅฏฆๆกˆไพ‹๏ผšๅŽปไธญๅฟƒๅŒ–่จˆ็ฎ— + ๆœฌๅœฐ AI๏ผŒๅฏ่ƒฝๆ˜ฏๆœชไพ†่ถจๅ‹ขใ€‚

$AI $WEB3 #OpenSource

$AI $WEB3
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Solana Institute CEO urges Senate to protect open-source developers under the CLARITY Act. Developers shouldn't be treated as financial intermediaries. #Crypto #Regulation #OpenSource
Solana Institute CEO urges Senate to protect open-source developers under the CLARITY Act. Developers shouldn't be treated as financial intermediaries. #Crypto #Regulation #OpenSource
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๐Ÿ” A autocustรณdia de Bitcoin nรฃo deveria ser complicada. Qual รฉ o verdadeiro propรณsito de recuperar uma seed phrase? Recuperar o controle dos seus bitcoins para movimentar fundos ou gerar chaves pรบblicas, sem expor suas chaves privadas ร  internet. Muitos usuรกrios ainda dependem de carteiras de cรณdigo fechado. Outros utilizam soluรงรตes offline avanรงadas que oferecem excelente seguranรงa, mas podem ser complexas para o usuรกrio comum. Com o objetivo de tornar a autocustรณdia mais acessรญvel sem abrir mรฃo da transparรชncia e da seguranรงa operacional, desenvolvi a PhantOS ColdWallet. Uma soluรงรฃo open-source, auditรกvel e totalmente offline, projetada para proteger aquilo que realmente importa: suas chaves privadas. ๐Ÿš€ Principais recursos: โœ” Recuperaรงรฃo de seed offline; โœ” Geraรงรฃo de novos endereรงos Bitcoin; โœ” Exportaรงรฃo de chaves pรบblicas para monitoramento; โœ” Assinatura de transaรงรตes via QR Code e PSBT; โœ” Inicializaรงรฃo direta por pendrive; โœ” Ambiente dedicado ร  gestรฃo segura de chaves privadas e assinatura de transaรงรตes. A filosofia รฉ simples: ๐Ÿ”’ Dispositivos offline protegem e assinam. ๐Ÿ‘๏ธ Dispositivos online visualizam e transmitem informaรงรตes. Sem servidores centralizados. Sem dependรชncia de terceiros. Sem exposiรงรฃo das chaves privadas ร  internet. Bitcoin elimina a necessidade de confiar em terceiros. A autocustรณdia รฉ a consequรชncia natural dessa filosofia. โ‚ฟ Suas chaves. Seu Bitcoin. Sua liberdade. #Bitcoin #SelfCustody #OpenSource $BTC
๐Ÿ” A autocustรณdia de Bitcoin nรฃo deveria ser complicada.

Qual รฉ o verdadeiro propรณsito de recuperar uma seed phrase?

Recuperar o controle dos seus bitcoins para movimentar fundos ou gerar chaves pรบblicas, sem expor suas chaves privadas ร  internet.

Muitos usuรกrios ainda dependem de carteiras de cรณdigo fechado. Outros utilizam soluรงรตes offline avanรงadas que oferecem excelente seguranรงa, mas podem ser complexas para o usuรกrio comum.

Com o objetivo de tornar a autocustรณdia mais acessรญvel sem abrir mรฃo da transparรชncia e da seguranรงa operacional, desenvolvi a PhantOS ColdWallet.

Uma soluรงรฃo open-source, auditรกvel e totalmente offline, projetada para proteger aquilo que realmente importa: suas chaves privadas.

๐Ÿš€ Principais recursos:

โœ” Recuperaรงรฃo de seed offline;

โœ” Geraรงรฃo de novos endereรงos Bitcoin;

โœ” Exportaรงรฃo de chaves pรบblicas para monitoramento;

โœ” Assinatura de transaรงรตes via QR Code e PSBT;

โœ” Inicializaรงรฃo direta por pendrive;

โœ” Ambiente dedicado ร  gestรฃo segura de chaves privadas e assinatura de transaรงรตes.

A filosofia รฉ simples:

๐Ÿ”’ Dispositivos offline protegem e assinam.

๐Ÿ‘๏ธ Dispositivos online visualizam e transmitem informaรงรตes.

Sem servidores centralizados.

Sem dependรชncia de terceiros.

Sem exposiรงรฃo das chaves privadas ร  internet.

Bitcoin elimina a necessidade de confiar em terceiros. A autocustรณdia รฉ a consequรชncia natural dessa filosofia.

โ‚ฟ Suas chaves. Seu Bitcoin. Sua liberdade.

#Bitcoin #SelfCustody #OpenSource $BTC
1ใ€่ƒŒๆ™ฏ ่ฟ‘ๆœŸ๏ผŒๅผ€ๆบๅคงๆจกๅž‹่ฟ›ๅ…ฅๅฏ†้›†ๆ”พ้‡้˜ถๆฎต๏ผŒ่‹ฑไผŸ่พพ Nemotronใ€่ฐทๆญŒ Gemma ็ญ‰ๅผ€ๆบๆƒ้‡ๆจกๅž‹ๆŽฅ่ฟžๅ‘ๅธƒ๏ผŒ็›ดๆŽฅๆ”นๅ˜ไบ†ไผไธš้‡‡่ดญ AI ่ƒฝๅŠ›็š„ๆฏ”่พƒๆก†ๆžถใ€‚่ฟ‡ๅŽปๅธ‚ๅœบๆ›ดๅ…ณๆณจโ€œ่ฐๆœ€ๅผบโ€๏ผŒ่€Œ็Žฐๅœจไผไธšๆ›ดๅ…ณๅฟƒโ€œๆ€ง่ƒฝๅทฎๅคšๅฐ‘ใ€ไปทๆ ผๅทฎๅคšๅฐ‘ใ€ๆ˜ฏๅฆๅ€ผๅพ—้•ฟๆœŸ็ป‘ๅฎšโ€ใ€‚ไปŽๆ–‡ไธญ็ป™ๅ‡บ็š„ๆต‹็ฎ—็œ‹๏ผŒๅœจ็›ธ่ฟ‘ไปปๅŠกๅœบๆ™ฏไธ‹๏ผŒ้—ญๆบๅคด้ƒจๆจกๅž‹ไธŽๅผ€ๆบๆจกๅž‹ไน‹้—ดๅทฒๅ‡บ็ŽฐๆŽฅ่ฟ‘ 40 ๅ€็š„ๆˆๆœฌ่ฝๅทฎ๏ผŒ่ฟ™ๆ„ๅ‘ณ็€ AI ็ซžไบ‰ๆญฃไปŽๆŠ€ๆœฏ็ซž่ต›๏ผŒ่ฝฌๅ‘ๆˆๆœฌๆ•ˆ็އไธŽๆžถๆž„ๆŽงๅˆถๆƒ็š„็ซž่ต›ใ€‚ 2ใ€ๆ ธๅฟƒๅˆ†ๆž ่ฟ™ๆกๆถˆๆฏๆœ€ๅ€ผๅพ—ๅ…ณๆณจ็š„๏ผŒไธๆ˜ฏๅ•ไธ€ๆจกๅž‹ๆŠฅไปท๏ผŒ่€Œๆ˜ฏ่กŒไธš้€ป่พ‘็š„ๅ˜ๅŒ–ใ€‚็ฌฌไธ€๏ผŒ่ƒฝๅŠ›ๅทฎ่ทๆญฃๅœจๆ”ถ็ช„ใ€‚ๅผ€ๆบๆจกๅž‹่™ฝ็„ถๅœจๅคๆ‚ๆŽจ็†ใ€็จณๅฎšๆ€งๅ’Œๆž้™่กจ็ŽฐไธŠๆœชๅฟ…ๅ…จ้ข้ข†ๅ…ˆ๏ผŒไฝ†ๅœจๅคง้‡้€š็”จไธšๅŠกๅœบๆ™ฏไธญ๏ผŒๅทฒ็ป่ถณไปฅโ€œๅฏ็”จไธ”ไพฟๅฎœโ€๐Ÿ™‚ใ€‚ๅฝ“โ€œๅคŸ็”จโ€ๆˆไธบ้‡‡่ดญๆ ‡ๅ‡†๏ผŒ้ซ˜ๆบขไปทๆจกๅž‹็š„ๆŠคๅŸŽๆฒณๅฐฑไผš่ขซๅ‰Šๅผฑใ€‚ ็ฌฌไบŒ๏ผŒไผไธšๅ†…้ƒจ็š„ๅ†ณ็ญ–้”™้…ๆญฃๅœจๆšด้œฒใ€‚ๅพˆๅคš CEO ๅนถไธ็›ดๆŽฅ็ฎก็†ๆจกๅž‹่ฐƒ็”จๅฑ‚๏ผŒๆŠ€ๆœฏๅ›ข้˜Ÿไธบไบ†ๆ•ˆๆžœๅ’Œๅผ€ๅ‘ไพฟๅˆฉ๏ผŒๅพ€ๅพ€้ป˜่ฎค้€‰ๆ‹ฉๆœ€ๅผบใ€ไนŸๆœ€่ดต็š„ APIใ€‚็ŸญๆœŸ็œ‹ๆๅ‡ไธŠ็บฟ้€Ÿๅบฆ๏ผŒ้•ฟๆœŸ็œ‹ๅˆ™ไผšๆ”พๅคงๆŽจ็†ๆˆๆœฌใ€ๅฝขๆˆไพ›ๅบ”ๅ•†ไพ่ต–๏ผŒ็”š่‡ณ็ผบไนๅฎก่ฎกๅ’Œๆฒป็†ใ€‚ๅฏน้ซ˜้ข‘่ฐƒ็”จไธšๅŠก่€Œ่จ€๏ผŒ่ฟ™ไธๆ˜ฏๆŠ€ๆœฏ้—ฎ้ข˜๏ผŒ่€Œๆ˜ฏๅˆฉๆถฆ้—ฎ้ข˜ใ€‚ ็ฌฌไธ‰๏ผŒๆจกๅž‹่ทฏ็”ฑๅ’Œโ€œๆจกๅž‹ๆ— ๅ…ณๆžถๆž„โ€ไผšๆˆไธบๆ–ฐ่ถ‹ๅŠฟใ€‚ๆœชๆฅไผไธšๆœชๅฟ…ๆŠผๆณจๅ•ไธ€ๆจกๅž‹๏ผŒ่€Œๆ˜ฏๅฐ†้ซ˜ๅคๆ‚ไปปๅŠกไบค็ป™้กถ็บง้—ญๆบๆจกๅž‹๏ผŒๆŠŠๅคง่ง„ๆจกใ€ๆ ‡ๅ‡†ๅŒ–ๆŽจ็†ๅˆ†ๆตๅˆฐ DeepSeek ็ญ‰ไฝŽๆˆๆœฌๅผ€ๆบๆ–นๆกˆใ€‚่ฐ่ƒฝๅšๅฅฝ่ทฏ็”ฑใ€็›‘ๆŽงใ€ๅฎก่ฎกๅ’ŒๆˆๆœฌๆŽงๅˆถ๏ผŒ่ฐๅฐฑๆ›ดๅฏ่ƒฝๅƒๅˆฐไธ‹ไธ€้˜ถๆฎตไผไธš AI ่ฝๅœฐ็บขๅˆฉใ€‚ 3ใ€ๅธ‚ๅœบๅฝฑๅ“ ๅฏน้—ญๆบๅทจๅคด่€Œ่จ€๏ผŒๅŽ‹ๅŠ›ๆญฃๅœจไปŽโ€œๆ˜ฏๅฆ้ข†ๅ…ˆโ€่ฝฌๅ‘โ€œ้ข†ๅ…ˆๅ€ผไธๅ€ผ่ฟ™ไธชไปทโ€ใ€‚ๅฆ‚ๆžœไปทๆ ผไฝ“็ณปไธ่ฐƒๆ•ด๏ผŒ็™พไบฟ็บง API ่ฅๆ”ถ้ขไธด่ขซๅผ€ๆบๆŒ็ปญๅˆ†ๆต็š„้ฃŽ้™ฉใ€‚ๅฏนๅผ€ๆบ้˜ต่ฅ่€Œ่จ€๏ผŒๆœบไผšไธไป…ๅœจๆจกๅž‹ๆœฌ่บซ๏ผŒๆ›ดๅœจๆ‰˜็ฎกๆœๅŠกใ€็งๆœ‰ๅŒ–้ƒจ็ฝฒใ€ๅฎ‰ๅ…จๆฒป็†ๅ’Œไผไธš็บงๅทฅๅ…ท้“พใ€‚ ๅฏนๆŠ•่ต„ๅธ‚ๅœบๆฅ่ฏด๏ผŒAI ่ต›้“็š„ไผฐๅ€ผ้€ป่พ‘ไนŸๅฏ่ƒฝ็ป†ๅŒ–๏ผšๆœชๆฅ็œŸๆญฃๆœ‰ไปทๅ€ผ็š„๏ผŒไธไธ€ๅฎšๅชๆ˜ฏ่ฎญ็ปƒๅ‡บๆœ€ๅผบๆจกๅž‹็š„ๅนณๅฐ๏ผŒ่€Œๆ˜ฏ่ƒฝๆŠŠๆจกๅž‹่ƒฝๅŠ›ไฝŽๆˆๆœฌใ€ๅฏๅฎก่ฎกใ€ๅฏ่ง„ๆจกๅŒ–ไบคไป˜็ป™ไผไธš็š„่ฝฏไปถๅฑ‚ไธŽๅŸบ็ก€่ฎพๆ–ฝๅฑ‚ ๐Ÿš€ใ€‚่ฟ™ๅฏนไบŽไบ‘ๆœๅŠกใ€ๆŽจ็†ไผ˜ๅŒ–ใ€ไธญ้—ดไปถใ€Agent ็ผ–ๆŽ’็ญ‰ๆ–นๅ‘้ƒฝๆ˜ฏ็งฏๆžไฟกๅทใ€‚ 4ใ€็ป“่ฎบ ่ฟ™ๅœบโ€œๅผ€ๆบไธŽ้—ญๆบโ€็š„็ซžไบ‰๏ผŒๆœฌ่ดจไธŠๆ˜ฏ AI ไปŽๆŠ€ๆœฏๅฑ•็คบ่ตฐๅ‘ๅ•†ไธš่ฝๅœฐ็š„ๅฟ…็ป้˜ถๆฎตใ€‚็ŸญๆœŸๅ†…๏ผŒ้—ญๆบๆจกๅž‹ไปๆœ‰้ซ˜็ซฏ่ƒฝๅŠ›ไผ˜ๅŠฟ๏ผ›ไฝ†ไปŽๅฝ“ๅ‰่ถ‹ๅŠฟ็œ‹๏ผŒไผไธšไผš่ถŠๆฅ่ถŠ็†ๆ€ง๏ผŒไผ˜ๅ…ˆ่ฟฝๆฑ‚ๆ€งไปทๆฏ”ใ€ๆฒป็†่ƒฝๅŠ›ๅ’Œๆžถๆž„ๅผนๆ€งใ€‚่ฐ่ƒฝๅœจๆ•ˆๆžœใ€ๆˆๆœฌๅ’ŒๅฏๆŽงๆ€งไน‹้—ดๆ‰พๅˆฐๆœ€ไผ˜่งฃ๏ผŒ่ฐๅฐฑๆ›ดๅฏ่ƒฝๆˆไธบไธ‹ไธ€่ฝฎ AI ๅ•†ไธšๅŒ–็š„่ตขๅฎถใ€‚ #AI #OpenSource #Crypto
1ใ€่ƒŒๆ™ฏ

่ฟ‘ๆœŸ๏ผŒๅผ€ๆบๅคงๆจกๅž‹่ฟ›ๅ…ฅๅฏ†้›†ๆ”พ้‡้˜ถๆฎต๏ผŒ่‹ฑไผŸ่พพ Nemotronใ€่ฐทๆญŒ Gemma ็ญ‰ๅผ€ๆบๆƒ้‡ๆจกๅž‹ๆŽฅ่ฟžๅ‘ๅธƒ๏ผŒ็›ดๆŽฅๆ”นๅ˜ไบ†ไผไธš้‡‡่ดญ AI ่ƒฝๅŠ›็š„ๆฏ”่พƒๆก†ๆžถใ€‚่ฟ‡ๅŽปๅธ‚ๅœบๆ›ดๅ…ณๆณจโ€œ่ฐๆœ€ๅผบโ€๏ผŒ่€Œ็Žฐๅœจไผไธšๆ›ดๅ…ณๅฟƒโ€œๆ€ง่ƒฝๅทฎๅคšๅฐ‘ใ€ไปทๆ ผๅทฎๅคšๅฐ‘ใ€ๆ˜ฏๅฆๅ€ผๅพ—้•ฟๆœŸ็ป‘ๅฎšโ€ใ€‚ไปŽๆ–‡ไธญ็ป™ๅ‡บ็š„ๆต‹็ฎ—็œ‹๏ผŒๅœจ็›ธ่ฟ‘ไปปๅŠกๅœบๆ™ฏไธ‹๏ผŒ้—ญๆบๅคด้ƒจๆจกๅž‹ไธŽๅผ€ๆบๆจกๅž‹ไน‹้—ดๅทฒๅ‡บ็ŽฐๆŽฅ่ฟ‘ 40 ๅ€็š„ๆˆๆœฌ่ฝๅทฎ๏ผŒ่ฟ™ๆ„ๅ‘ณ็€ AI ็ซžไบ‰ๆญฃไปŽๆŠ€ๆœฏ็ซž่ต›๏ผŒ่ฝฌๅ‘ๆˆๆœฌๆ•ˆ็އไธŽๆžถๆž„ๆŽงๅˆถๆƒ็š„็ซž่ต›ใ€‚

2ใ€ๆ ธๅฟƒๅˆ†ๆž

่ฟ™ๆกๆถˆๆฏๆœ€ๅ€ผๅพ—ๅ…ณๆณจ็š„๏ผŒไธๆ˜ฏๅ•ไธ€ๆจกๅž‹ๆŠฅไปท๏ผŒ่€Œๆ˜ฏ่กŒไธš้€ป่พ‘็š„ๅ˜ๅŒ–ใ€‚็ฌฌไธ€๏ผŒ่ƒฝๅŠ›ๅทฎ่ทๆญฃๅœจๆ”ถ็ช„ใ€‚ๅผ€ๆบๆจกๅž‹่™ฝ็„ถๅœจๅคๆ‚ๆŽจ็†ใ€็จณๅฎšๆ€งๅ’Œๆž้™่กจ็ŽฐไธŠๆœชๅฟ…ๅ…จ้ข้ข†ๅ…ˆ๏ผŒไฝ†ๅœจๅคง้‡้€š็”จไธšๅŠกๅœบๆ™ฏไธญ๏ผŒๅทฒ็ป่ถณไปฅโ€œๅฏ็”จไธ”ไพฟๅฎœโ€๐Ÿ™‚ใ€‚ๅฝ“โ€œๅคŸ็”จโ€ๆˆไธบ้‡‡่ดญๆ ‡ๅ‡†๏ผŒ้ซ˜ๆบขไปทๆจกๅž‹็š„ๆŠคๅŸŽๆฒณๅฐฑไผš่ขซๅ‰Šๅผฑใ€‚

็ฌฌไบŒ๏ผŒไผไธšๅ†…้ƒจ็š„ๅ†ณ็ญ–้”™้…ๆญฃๅœจๆšด้œฒใ€‚ๅพˆๅคš CEO ๅนถไธ็›ดๆŽฅ็ฎก็†ๆจกๅž‹่ฐƒ็”จๅฑ‚๏ผŒๆŠ€ๆœฏๅ›ข้˜Ÿไธบไบ†ๆ•ˆๆžœๅ’Œๅผ€ๅ‘ไพฟๅˆฉ๏ผŒๅพ€ๅพ€้ป˜่ฎค้€‰ๆ‹ฉๆœ€ๅผบใ€ไนŸๆœ€่ดต็š„ APIใ€‚็ŸญๆœŸ็œ‹ๆๅ‡ไธŠ็บฟ้€Ÿๅบฆ๏ผŒ้•ฟๆœŸ็œ‹ๅˆ™ไผšๆ”พๅคงๆŽจ็†ๆˆๆœฌใ€ๅฝขๆˆไพ›ๅบ”ๅ•†ไพ่ต–๏ผŒ็”š่‡ณ็ผบไนๅฎก่ฎกๅ’Œๆฒป็†ใ€‚ๅฏน้ซ˜้ข‘่ฐƒ็”จไธšๅŠก่€Œ่จ€๏ผŒ่ฟ™ไธๆ˜ฏๆŠ€ๆœฏ้—ฎ้ข˜๏ผŒ่€Œๆ˜ฏๅˆฉๆถฆ้—ฎ้ข˜ใ€‚

็ฌฌไธ‰๏ผŒๆจกๅž‹่ทฏ็”ฑๅ’Œโ€œๆจกๅž‹ๆ— ๅ…ณๆžถๆž„โ€ไผšๆˆไธบๆ–ฐ่ถ‹ๅŠฟใ€‚ๆœชๆฅไผไธšๆœชๅฟ…ๆŠผๆณจๅ•ไธ€ๆจกๅž‹๏ผŒ่€Œๆ˜ฏๅฐ†้ซ˜ๅคๆ‚ไปปๅŠกไบค็ป™้กถ็บง้—ญๆบๆจกๅž‹๏ผŒๆŠŠๅคง่ง„ๆจกใ€ๆ ‡ๅ‡†ๅŒ–ๆŽจ็†ๅˆ†ๆตๅˆฐ DeepSeek ็ญ‰ไฝŽๆˆๆœฌๅผ€ๆบๆ–นๆกˆใ€‚่ฐ่ƒฝๅšๅฅฝ่ทฏ็”ฑใ€็›‘ๆŽงใ€ๅฎก่ฎกๅ’ŒๆˆๆœฌๆŽงๅˆถ๏ผŒ่ฐๅฐฑๆ›ดๅฏ่ƒฝๅƒๅˆฐไธ‹ไธ€้˜ถๆฎตไผไธš AI ่ฝๅœฐ็บขๅˆฉใ€‚

3ใ€ๅธ‚ๅœบๅฝฑๅ“

ๅฏน้—ญๆบๅทจๅคด่€Œ่จ€๏ผŒๅŽ‹ๅŠ›ๆญฃๅœจไปŽโ€œๆ˜ฏๅฆ้ข†ๅ…ˆโ€่ฝฌๅ‘โ€œ้ข†ๅ…ˆๅ€ผไธๅ€ผ่ฟ™ไธชไปทโ€ใ€‚ๅฆ‚ๆžœไปทๆ ผไฝ“็ณปไธ่ฐƒๆ•ด๏ผŒ็™พไบฟ็บง API ่ฅๆ”ถ้ขไธด่ขซๅผ€ๆบๆŒ็ปญๅˆ†ๆต็š„้ฃŽ้™ฉใ€‚ๅฏนๅผ€ๆบ้˜ต่ฅ่€Œ่จ€๏ผŒๆœบไผšไธไป…ๅœจๆจกๅž‹ๆœฌ่บซ๏ผŒๆ›ดๅœจๆ‰˜็ฎกๆœๅŠกใ€็งๆœ‰ๅŒ–้ƒจ็ฝฒใ€ๅฎ‰ๅ…จๆฒป็†ๅ’Œไผไธš็บงๅทฅๅ…ท้“พใ€‚

ๅฏนๆŠ•่ต„ๅธ‚ๅœบๆฅ่ฏด๏ผŒAI ่ต›้“็š„ไผฐๅ€ผ้€ป่พ‘ไนŸๅฏ่ƒฝ็ป†ๅŒ–๏ผšๆœชๆฅ็œŸๆญฃๆœ‰ไปทๅ€ผ็š„๏ผŒไธไธ€ๅฎšๅชๆ˜ฏ่ฎญ็ปƒๅ‡บๆœ€ๅผบๆจกๅž‹็š„ๅนณๅฐ๏ผŒ่€Œๆ˜ฏ่ƒฝๆŠŠๆจกๅž‹่ƒฝๅŠ›ไฝŽๆˆๆœฌใ€ๅฏๅฎก่ฎกใ€ๅฏ่ง„ๆจกๅŒ–ไบคไป˜็ป™ไผไธš็š„่ฝฏไปถๅฑ‚ไธŽๅŸบ็ก€่ฎพๆ–ฝๅฑ‚ ๐Ÿš€ใ€‚่ฟ™ๅฏนไบŽไบ‘ๆœๅŠกใ€ๆŽจ็†ไผ˜ๅŒ–ใ€ไธญ้—ดไปถใ€Agent ็ผ–ๆŽ’็ญ‰ๆ–นๅ‘้ƒฝๆ˜ฏ็งฏๆžไฟกๅทใ€‚

4ใ€็ป“่ฎบ

่ฟ™ๅœบโ€œๅผ€ๆบไธŽ้—ญๆบโ€็š„็ซžไบ‰๏ผŒๆœฌ่ดจไธŠๆ˜ฏ AI ไปŽๆŠ€ๆœฏๅฑ•็คบ่ตฐๅ‘ๅ•†ไธš่ฝๅœฐ็š„ๅฟ…็ป้˜ถๆฎตใ€‚็ŸญๆœŸๅ†…๏ผŒ้—ญๆบๆจกๅž‹ไปๆœ‰้ซ˜็ซฏ่ƒฝๅŠ›ไผ˜ๅŠฟ๏ผ›ไฝ†ไปŽๅฝ“ๅ‰่ถ‹ๅŠฟ็œ‹๏ผŒไผไธšไผš่ถŠๆฅ่ถŠ็†ๆ€ง๏ผŒไผ˜ๅ…ˆ่ฟฝๆฑ‚ๆ€งไปทๆฏ”ใ€ๆฒป็†่ƒฝๅŠ›ๅ’Œๆžถๆž„ๅผนๆ€งใ€‚่ฐ่ƒฝๅœจๆ•ˆๆžœใ€ๆˆๆœฌๅ’ŒๅฏๆŽงๆ€งไน‹้—ดๆ‰พๅˆฐๆœ€ไผ˜่งฃ๏ผŒ่ฐๅฐฑๆ›ดๅฏ่ƒฝๆˆไธบไธ‹ไธ€่ฝฎ AI ๅ•†ไธšๅŒ–็š„่ตขๅฎถใ€‚

#AI #OpenSource #Crypto
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The ZCash bug that survived 4 years undetected is the most important story in crypto this week โ€” not BTC testing $62K. Shielded Labs disclosed a critical flaw that let someone mint unlimited ZEC without anyone knowing. The token crashed 40%. The reaction is understandable. But here's what most people are missing. The fact that this was discovered and disclosed publicly is the open-source security model working exactly as intended. No company buried it. No executive did a quiet patch and hoped nobody noticed. The community found it, disclosed it, and the market priced it in immediately. Compare that to the number of TradFi scandals that lasted years โ€” sometimes decades โ€” before coming to the surface. $BTC and $ETH have survived comparable scrutiny because they were stress-tested in public, by adversaries, for years. That's not weakness. That's how durable infrastructure gets built. Chains that have faced real security challenges and adapted are the ones worth holding through the current compression. Bug disclosures are painful. They're also how this industry earns credibility โ€” one transparent fix at a time. #Crypto #Bitcoin #OpenSource #CryptoSecurity #BinanceSquare
The ZCash bug that survived 4 years undetected is the most important story in crypto this week โ€” not BTC testing $62K.

Shielded Labs disclosed a critical flaw that let someone mint unlimited ZEC without anyone knowing. The token crashed 40%. The reaction is understandable. But here's what most people are missing.

The fact that this was discovered and disclosed publicly is the open-source security model working exactly as intended. No company buried it. No executive did a quiet patch and hoped nobody noticed. The community found it, disclosed it, and the market priced it in immediately.

Compare that to the number of TradFi scandals that lasted years โ€” sometimes decades โ€” before coming to the surface.

$BTC and $ETH have survived comparable scrutiny because they were stress-tested in public, by adversaries, for years. That's not weakness. That's how durable infrastructure gets built.

Chains that have faced real security challenges and adapted are the ones worth holding through the current compression.

Bug disclosures are painful. They're also how this industry earns credibility โ€” one transparent fix at a time.

#Crypto #Bitcoin #OpenSource #CryptoSecurity #BinanceSquare
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Bitcoin Hits Highest Price in Weeks as Bernstein Bitcoin Hits Highest Price in Weeks as Bernstein. This development marks a significant moment in the evolving crypto landscape. Analysts and market participants are weighing the implications for price action and broader adoption trends. The intersection of artificial intelligence and blockchain technology continues to attract attention from both sectors. Open-weight AI models and decentralized compute networks represent alternative infrastructure paths away from centralized platforms. Institutional players are evaluating how these technologies converge, with implications for data sovereignty, compute markets, and censorship-resistant AI deployment. The trend toward accessible AI models mirrors similar dynamics in crypto where open protocols challenge walled gardens. The implications extend beyond immediate price reactions to Questions of infrastructure viability and competitive positioning. Regulatory frameworks worldwide are catching up with technological advances, creating both headwinds and tailwinds for different market participants. Traditional finance stakeholders and crypto-native players are finding common ground on certain use cases while diverging sharply on others. The next 12-24 months will reveal which narratives prove durable versus speculative. Will this development accelerate broader adoption or remain confined to niche communities? The next quarter of data will be telling. Market participants should watch on-chain metrics, institutional flows, and regulatory developments for signals. What's your take on the long-term implications of this news for the broader crypto ecosystem? ๐Ÿ‘‡ #AIInnovation #DecentralizedTech #OpenSource
Bitcoin Hits Highest Price in Weeks as Bernstein

Bitcoin Hits Highest Price in Weeks as Bernstein. This development marks a significant moment in the evolving crypto landscape. Analysts and market participants are weighing the implications for price action and broader adoption trends.

The intersection of artificial intelligence and blockchain technology continues to attract attention from both sectors. Open-weight AI models and decentralized compute networks represent alternative infrastructure paths away from centralized platforms. Institutional players are evaluating how these technologies converge, with implications for data sovereignty, compute markets, and censorship-resistant AI deployment. The trend toward accessible AI models mirrors similar dynamics in crypto where open protocols challenge walled gardens.

The implications extend beyond immediate price reactions to Questions of infrastructure viability and competitive positioning. Regulatory frameworks worldwide are catching up with technological advances, creating both headwinds and tailwinds for different market participants. Traditional finance stakeholders and crypto-native players are finding common ground on certain use cases while diverging sharply on others. The next 12-24 months will reveal which narratives prove durable versus speculative.

Will this development accelerate broader adoption or remain confined to niche communities? The next quarter of data will be telling. Market participants should watch on-chain metrics, institutional flows, and regulatory developments for signals. What's your take on the long-term implications of this news for the broader crypto ecosystem? ๐Ÿ‘‡

#AIInnovation #DecentralizedTech #OpenSource
$VANRY TETHER CEO SAYS AI GIANTS ARE OVERSPENDING ON INFRASTRUCTURE ๐Ÿ”ฅ Paolo Ardoino just dropped a reality check โ€” AI giants are burning cash on infrastructure while margins shrink and profits get delayed. Open-source competition is heating up, and that could reshape where smart money flows next. This isnโ€™t just tech news. When capital gets squeezed in one sector, it often rotates into undervalued plays like decentralized AI tokens. The debate is whether this accelerates the shift toward blockchain-based alternatives or just slows everything down. Do you see this as a bullish catalyst for projects like $VANRY or a warning sign for the whole space? Not financial advice. Always manage your risk. #VANRY #AI #CryptoNews #OpenSource โšก
$VANRY TETHER CEO SAYS AI GIANTS ARE OVERSPENDING ON INFRASTRUCTURE ๐Ÿ”ฅ

Paolo Ardoino just dropped a reality check โ€” AI giants are burning cash on infrastructure while margins shrink and profits get delayed. Open-source competition is heating up, and that could reshape where smart money flows next.

This isnโ€™t just tech news. When capital gets squeezed in one sector, it often rotates into undervalued plays like decentralized AI tokens. The debate is whether this accelerates the shift toward blockchain-based alternatives or just slows everything down.

Do you see this as a bullish catalyst for projects like $VANRY or a warning sign for the whole space?

Not financial advice. Always manage your risk.

#VANRY #AI #CryptoNews #OpenSource

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่ณฝๅš้พๅ…‹ๅ››ๅๅนดๅพŒ๏ผš็พฉไฝ“ๆˆ็œŸไบ†๏ผŒไฝ† Arasaka ไนŸไพ†ไบ† ๐Ÿ’€ Decrypt ๆ–ฐๆ–‡็›ค้ปž๏ผšNeuralink ่…ฆๆฉŸไป‹้ขใ€AI ็œผ้กใ€ไปฟ็”Ÿ็พฉ่‚ขโ€”โ€”่ณฝๅš้พๅ…‹็š„็ง‘ๆŠ€ๅ…จๆ‡‰้ฉ—ไบ†ใ€‚ไฝ†ๆœ€ๆบ–็š„้ ๆธฌไธๆ˜ฏ chrome๏ผŒ่€Œๆ˜ฏใ€ŒไผๆฅญๆŽŒๆŽงไธ€ๅˆ‡ใ€ใ€‚ Mondo 2000 ๅ‰ตๅง‹ไบบ่ชช๏ผšๆˆ‘ๅ€‘็•ถๅนดไปฅ็‚บ้›ป่…ฆๆœƒๅˆ†ๆ•ฃๆฌŠๅŠ›๏ผŒ็ตๆžœๅชๆ˜ฏๅนซ Big Tech ๅปบไบ†ๆ›ดๅคง็š„็Ž‹ๅœ‹ใ€‚ ไธ้Ž้–‹ๆบ AI agentใ€cyberdeck ็คพ็พคใ€Bitcoin ไธŠๅญ˜็ถญๅŸบ่งฃๅฏ†โ€ฆโ€ฆๅๆŠ—่ปๆญฃๅœจ้‡็ต„ใ€‚๐Ÿ–ค #Cyberpunk #Web3 #OpenSource #Bitcoin #Bitcoin
่ณฝๅš้พๅ…‹ๅ››ๅๅนดๅพŒ๏ผš็พฉไฝ“ๆˆ็œŸไบ†๏ผŒไฝ† Arasaka ไนŸไพ†ไบ† ๐Ÿ’€

Decrypt ๆ–ฐๆ–‡็›ค้ปž๏ผšNeuralink ่…ฆๆฉŸไป‹้ขใ€AI ็œผ้กใ€ไปฟ็”Ÿ็พฉ่‚ขโ€”โ€”่ณฝๅš้พๅ…‹็š„็ง‘ๆŠ€ๅ…จๆ‡‰้ฉ—ไบ†ใ€‚ไฝ†ๆœ€ๆบ–็š„้ ๆธฌไธๆ˜ฏ chrome๏ผŒ่€Œๆ˜ฏใ€ŒไผๆฅญๆŽŒๆŽงไธ€ๅˆ‡ใ€ใ€‚

Mondo 2000 ๅ‰ตๅง‹ไบบ่ชช๏ผšๆˆ‘ๅ€‘็•ถๅนดไปฅ็‚บ้›ป่…ฆๆœƒๅˆ†ๆ•ฃๆฌŠๅŠ›๏ผŒ็ตๆžœๅชๆ˜ฏๅนซ Big Tech ๅปบไบ†ๆ›ดๅคง็š„็Ž‹ๅœ‹ใ€‚

ไธ้Ž้–‹ๆบ AI agentใ€cyberdeck ็คพ็พคใ€Bitcoin ไธŠๅญ˜็ถญๅŸบ่งฃๅฏ†โ€ฆโ€ฆๅๆŠ—่ปๆญฃๅœจ้‡็ต„ใ€‚๐Ÿ–ค

#Cyberpunk #Web3 #OpenSource #Bitcoin

#Bitcoin
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๐—ช๐—ต๐—ถ๐—น๐—ฒ ๐—ฒ๐˜ƒ๐—ฒ๐—ฟ๐˜†๐—ผ๐—ป๐—ฒ ๐˜€๐—ฐ๐—ฟ๐—ผ๐—น๐—น๐˜€ ๐—ฝ๐—ฎ๐˜€๐˜ ๐—”๐—œ ๐—ป๐—ผ๐—ถ๐˜€๐—ฒ, @๐—ฆ๐—ฒ๐—ป๐˜๐—ถ๐—ฒ๐—ป๐˜๐—”๐—š๐—œ ๐—ถ๐˜€ ๐˜€๐—ฒ๐˜๐˜๐—ถ๐—ป๐—ด ๐˜‚๐—ฝ ๐—น๐—ถ๐—ณ๐˜๐—ผ๐—ณ๐—ณ ๐Ÿš€ Pattern spotted: skill-to-agent loops strengthening fast, strongest harness-side competitor in the wild Contrarian bet: buy the ignition now, not after the moon imminent #AI #OpenSource
๐—ช๐—ต๐—ถ๐—น๐—ฒ ๐—ฒ๐˜ƒ๐—ฒ๐—ฟ๐˜†๐—ผ๐—ป๐—ฒ ๐˜€๐—ฐ๐—ฟ๐—ผ๐—น๐—น๐˜€ ๐—ฝ๐—ฎ๐˜€๐˜ ๐—”๐—œ ๐—ป๐—ผ๐—ถ๐˜€๐—ฒ, @๐—ฆ๐—ฒ๐—ป๐˜๐—ถ๐—ฒ๐—ป๐˜๐—”๐—š๐—œ ๐—ถ๐˜€ ๐˜€๐—ฒ๐˜๐˜๐—ถ๐—ป๐—ด ๐˜‚๐—ฝ ๐—น๐—ถ๐—ณ๐˜๐—ผ๐—ณ๐—ณ ๐Ÿš€

Pattern spotted: skill-to-agent loops strengthening fast, strongest harness-side competitor in the wild

Contrarian bet: buy the ignition now, not after the moon imminent #AI #OpenSource
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Paid Cloud vs. Local Hardware: Where do you host? ๐Ÿ–ฅ๏ธโš™๏ธ With cloud costs rising and privacy shrinking, more builders are moving back to local hardwareโ€”running independent servers on older devices, single-board computers, or local LLMs via Ollama. Building your own infrastructure takes effort, but total control over your data and uptime is worth it. Are you team Cloud (AWS/Vercel) or team Local/Self-hosted? Let's see the tech breakdown. ๐Ÿ˜ #SelfHosted #OpenSource #DevLife
Paid Cloud vs. Local Hardware: Where do you host? ๐Ÿ–ฅ๏ธโš™๏ธ

With cloud costs rising and privacy shrinking, more builders are moving back to local hardwareโ€”running independent servers on older devices, single-board computers, or local LLMs via Ollama.
Building your own infrastructure takes effort, but total control over your data and uptime is worth it.

Are you team Cloud (AWS/Vercel) or team Local/Self-hosted? Let's see the tech breakdown. ๐Ÿ˜

#SelfHosted #OpenSource #DevLife
$LONGCAT 1.6T PARAMETER MODEL GOES OPEN SOURCE โ€” GAME CHANGER โšก Meituan just dropped LongCatโ€‘2.0 โ€” a trillionโ€‘parameter beast built for real Agentic Coding. The 1.6T model activates only 48B per token, meaning massive capability without insane compute cost. They ran inference on a 50,000โ€‘card domestic cluster โ€” first trillionโ€‘parameter model to do so. This is a signal that AI infrastructure is maturing fast. When a major player openโ€‘sources this level of tech, it spills directly into demand for decentralized compute and AI tokens. The narrative is heating up early. Are you watching which AI crypto projects could benefit from this wave of realโ€‘world adoption? Not financial advice. Always manage your risk. #LONGCAT #AI #OpenSource #CryptoAI #Bullish โšก
$LONGCAT 1.6T PARAMETER MODEL GOES OPEN SOURCE โ€” GAME CHANGER โšก

Meituan just dropped LongCatโ€‘2.0 โ€” a trillionโ€‘parameter beast built for real Agentic Coding. The 1.6T model activates only 48B per token, meaning massive capability without insane compute cost. They ran inference on a 50,000โ€‘card domestic cluster โ€” first trillionโ€‘parameter model to do so.

This is a signal that AI infrastructure is maturing fast. When a major player openโ€‘sources this level of tech, it spills directly into demand for decentralized compute and AI tokens. The narrative is heating up early.

Are you watching which AI crypto projects could benefit from this wave of realโ€‘world adoption?

Not financial advice. Always manage your risk.

#LONGCAT #AI #OpenSource #CryptoAI #Bullish

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