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#sxt $SXT @SpaceandTimeDB #sxt $SXT @SpaceandTime Space and Time Enterprise Launches: In the AI Era, What’s Truly Scarce Isn’t Computing Power—it’s “Verifiability” On November 9, Space and Time launched its enterprise-grade platform, Space and Time Enterprise. Its first partners include Maple Finance, Indomobil, Trenez, and The Data Foundation. This news carries far more weight in tech circles than its visibility on market-tracking apps might suggest. I. The problem it solves Companies want AI agents to handle business workflows, but they’re not willing to hand over their raw databases. SXT Enterprise’s approach is to keep the data on the company’s own servers and share only “the computation result + a cryptographic proof.” Auditors, counterparties, and AI applications can verify whether the result was calculated correctly without seeing the underlying records. Record. II. Under the hood: Proof of SQL This is SxT’s patented technology. It’s like attaching a “receipt” to every SQL query to prove that the query was executed correctly on a specified dataset. The technology is already integrated with Google Cloud BigQuery. The enterprise edition can run directly on ordinary servers; it requires no blockchain operation, dedicated GPU, or external proving service. III. How it relates to SXT SXT Enterprise is designed for private environments, while SXT Chain is for on-chain use, providing verifiable data for DeFi, tokenized assets, and stablecoins. When an enterprise application needs to connect to on-chain markets, the related workloads will be settled on the SXT network. In other words, the enterprise side handles integration, while the on-chain side handles settlement. IV. Three easily overlooked caveats 1) Proof of SQL proves that a “computation is correct”; it does not prove that the “underlying data is true.” If the data was entered incorrectly, the proof will still pass. 2) The enterprise edition does not require the use of an on-chain network, so in the short term, the number of enterprise customers cannot be equated directly with demand for SXT. 3) Competition in this sector is intensifying. ZK proofs, oracles, and data availability layers are all moving toward “verifiable data.”
#sxt $SXT @SpaceandTime #sxt $SXT @SpaceandTime
Space and Time Enterprise Launches:
In the AI Era, What’s Truly Scarce Isn’t Computing Power—it’s “Verifiability”
On November 9, Space and Time launched its enterprise-grade platform, Space and Time Enterprise. Its first partners include Maple Finance, Indomobil, Trenez, and The Data Foundation. This news carries far more weight in tech circles than its visibility on market-tracking apps might suggest.
I. The problem it solves
Companies want AI agents to handle business workflows, but they’re not willing to hand over their raw databases. SXT Enterprise’s approach is to keep the data on the company’s own servers and share only “the computation result + a cryptographic proof.” Auditors, counterparties, and AI applications can verify whether the result was calculated correctly without seeing the underlying records. Record.
II. Under the hood: Proof of SQL
This is SxT’s patented technology. It’s like attaching a “receipt” to every SQL query to prove that the query was executed correctly on a specified dataset. The technology is already integrated with Google Cloud BigQuery. The enterprise edition can run directly on ordinary servers; it requires no blockchain operation, dedicated GPU, or external proving service.
III. How it relates to SXT
SXT Enterprise is designed for private environments, while SXT Chain is for on-chain use, providing verifiable data for DeFi, tokenized assets, and stablecoins. When an enterprise application needs to connect to on-chain markets, the related workloads will be settled on the SXT network. In other words, the enterprise side handles integration, while the on-chain side handles settlement.
IV. Three easily overlooked caveats
1) Proof of SQL proves that a “computation is correct”; it does not prove that the “underlying data is true.” If the data was entered incorrectly, the proof will still pass.
2) The enterprise edition does not require the use of an on-chain network, so in the short term, the number of enterprise customers cannot be equated directly with demand for SXT.
3) Competition in this sector is intensifying. ZK proofs, oracles, and data availability layers are all moving toward “verifiable data.”
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#CPI高于预期,美股与BTC再度承压 My expectation was that it would bottom out at 73K, but instead it broke straight through the 200-day moving average and fell to around 72,700. ETH is also closing in on the psychological 2,000 mark. $ETH Aside from that, A Jian has been saying for the past month that it’s been steadily drifting lower; it’s been weak for more than just a day or two. The main thing to analyze is $BTC. I think the core reason is that Waller publicly turned hawkish before the CPI release, saying that if core CPI rose by 0.3%, there might be a 50-basis-point hike in December. And damn, it came in at exactly 0.3%—not a fraction off. That immediately sent the market into a panic. Although we were all prepared for a rate hike in December, his remarks shifted the discussion from whether rates would be raised at all to whether they’d be raised by 50 basis points, putting even more pressure on risk assets. From a purely technical perspective, A Jian usually breaks a decline into three stages: first, profit-taking at the highs; second, a succession of macroeconomic headwinds; and third, indiscriminate selling after confidence collapses. At this point, it looks like we haven’t even finished the second stage. The main thing to watch is the $70,000 level, the last psychological line of defense. If it holds, we’ll see consolidation; if it doesn’t, that could mark the start of a new decline in the third stage.
#CPI高于预期,美股与BTC再度承压 My expectation was that it would bottom out at 73K, but instead it broke straight through the 200-day moving average and fell to around 72,700. ETH is also closing in on the psychological 2,000 mark. $ETH Aside from that, A Jian has been saying for the past month that it’s been steadily drifting lower; it’s been weak for more than just a day or two. The main thing to analyze is $BTC.
I think the core reason is that Waller publicly turned hawkish before the CPI release, saying that if core CPI rose by 0.3%, there might be a 50-basis-point hike in December. And damn, it came in at exactly 0.3%—not a fraction off. That immediately sent the market into a panic. Although we were all prepared for a rate hike in December, his remarks shifted the discussion from whether rates would be raised at all to whether they’d be raised by 50 basis points, putting even more pressure on risk assets.
From a purely technical perspective, A Jian usually breaks a decline into three stages: first, profit-taking at the highs; second, a succession of macroeconomic headwinds; and third, indiscriminate selling after confidence collapses. At this point, it looks like we haven’t even finished the second stage. The main thing to watch is the $70,000 level, the last psychological line of defense. If it holds, we’ll see consolidation; if it doesn’t, that could mark the start of a new decline in the third stage.
路人1688luren
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#sxt $SXT @SpaceandTime #sxt $SXT @SpaceandTime
Space and Time Enterprise Launches:
In the AI Era, What’s Truly Scarce Isn’t Computing Power—it’s “Verifiability”
On November 9, Space and Time launched its enterprise-grade platform, Space and Time Enterprise. Its first partners include Maple Finance, Indomobil, Trenez, and The Data Foundation. This news carries far more weight in tech circles than its visibility on market-tracking apps might suggest.
I. The problem it solves
Companies want AI agents to handle business workflows, but they’re not willing to hand over their raw databases. SXT Enterprise’s approach is to keep the data on the company’s own servers and share only “the computation result + a cryptographic proof.” Auditors, counterparties, and AI applications can verify whether the result was calculated correctly without seeing the underlying records. Record.
II. Under the hood: Proof of SQL
This is SxT’s patented technology. It’s like attaching a “receipt” to every SQL query to prove that the query was executed correctly on a specified dataset. The technology is already integrated with Google Cloud BigQuery. The enterprise edition can run directly on ordinary servers; it requires no blockchain operation, dedicated GPU, or external proving service.
III. How it relates to SXT
SXT Enterprise is designed for private environments, while SXT Chain is for on-chain use, providing verifiable data for DeFi, tokenized assets, and stablecoins. When an enterprise application needs to connect to on-chain markets, the related workloads will be settled on the SXT network. In other words, the enterprise side handles integration, while the on-chain side handles settlement.
IV. Three easily overlooked caveats
1) Proof of SQL proves that a “computation is correct”; it does not prove that the “underlying data is true.” If the data was entered incorrectly, the proof will still pass.
2) The enterprise edition does not require the use of an on-chain network, so in the short term, the number of enterprise customers cannot be equated directly with demand for SXT.
3) Competition in this sector is intensifying. ZK proofs, oracles, and data availability layers are all moving toward “verifiable data.”
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周周1688
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November 13 Crypto Daily Brief
🇨🇳 November 13 | Crypto Market Brief

Markets plunged, triggering concentrated liquidations of leveraged long positions. Macroeconomic pressure, institutional outflows, and a sudden change in NVIDIA leadership collectively pushed risk assets into risk-off mode.

📊 Market Overview

BTC: $69,044 (-6.1%)
ETH: $1,940 (-5.3%)
SOL: $79.97 (-3.5%)
BNB: $637 (-5.3%)

Total crypto market capitalization is approximately $2.38T, BTC dominance is around 58–59%, and the Fear & Greed Index is approximately 20, putting the market in Extreme Fear.

BTC fell below $70,000, while ETH dropped under $2,000. Most major assets declined in tandem, putting significant pressure on market liquidity.
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🎙️ A sharp Tier 1 drop—is now the time to build a position in BNCB? BNB
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🎙️ Is now an opportunity to build a position in bncb? bnb
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🎙️ CFX moves from on-chain to capital markets BNB
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道之为_铁军社区
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$BTC Time records everything. Last night's bug was an accident that happened right beside us; stories are told. The end of 2026 is drawing near. How should this year-end summary be written? The changing hands of both houses, expectations of interest-rate hikes, the Russia-Ukraine war, the stalemate in the Middle East, the halt to an Eastern stablecoin, and year-end reports from various institutions have played the symphony of 2026. What new gains might the next 50-odd days bring? Perhaps some.
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Jinshi Data, Nov. 13 — According to Politico, on Thursday, U.S. Senate Banking Committee Chairman Tim Scott asked former Nvidia CEO Jensen Huang and U.S. Commerce Secretary Lutnick to testify before the committee next month and explain Huang’s extramarital affair. Scott sent separate letters to Huang and Lutnick on Thursday evening local time, asking them to appear at a Senate Banking Committee hearing. The move signals that two high-profile oversight hearings will be held next month.$NVDAB
#黄仁勋辞任CEO,英伟达战略走向受关注
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正乾--四条2
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Solana Ecosystem: From High-Speed Blockchain to an On-Chain Finance and Consumer Application Platform (Installment 6)
Hey everyone, today let’s take a closer look at the Solana ecosystem. It gets a research rating of 8.6/10, making it a key theme well worth following over the long term.
Many people still think of Solana as fast, cheap to use, and the home of Meme coins. That impression was fair a few years ago, but in 2026, it’s far too shallow. The core thesis for Solana today is no longer simply about maximizing TPS or minimizing gas fees. The real test is whether it can turn its infrastructure advantages—high throughput and low costs—into real users who stick around, demand for stablecoin payments, sustainable protocol revenue, and an application ecosystem that keeps people engaged.
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慢就是快Mike
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The $ETH 2000 level probably won't hold; be cautious with leverage and futures!!!
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光明社区-阿波罗
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Like-minded people are not daunted by a long journey. By joining forces with one heart, we can move forward steadily and go far.
#LUCiC透明契约
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bape社区-菜园儿
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The most beautiful flower blooms on the steepest cliff,
forging the strongest consensus amid hardship and mud!
bape is that most beautiful flower!
❤️❤️❤️❤️
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DK短线复刻
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Follow and reply to receive a red envelope 🎁
🎙️ Build Binance Square, hold BNB | Friday: How should we play this one-way market now? When might it bottom out? Let's chat~
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Crypto狼少
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🧧🧧🧧🧧🧧Claim your reward in the red envelope event 🔫$BNB 🧧🧧🧧🧧🧧
❤️Like 👍🏻
❤️Comment 📩
❤️Repost 🔄
❤️Share 🥰
Don’t miss the big reward from $BNB 🔫❗️🥰
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火烽
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Bearish
May you make a profit every day. Please follow us.
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阿婧1688
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Is Nvidia’s sharp drop an opportunity? $NVDAB
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正乾--四条2
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Privacy: Private Payments and Confidential Computing—As Blockchain Moves Toward Institutional Adoption, Privacy Could Become the Next Layer of Infrastructure (Series, Part 5)
Hey everyone, today let’s talk about a sector many people still associate with the stereotype of “anonymous transfers and privacy coins disappearing overnight”: the privacy sector. I’m giving it a score of 8.8/10—it’s well worth taking the time to research early.
For a long time, blockchain’s biggest selling point was transparency. Every on-chain transfer and holding—who sent how much to whom, and who traded with whom—could be looked up by anyone. In the early days, when retail investors were trading crypto and making simple transfers, transparency was an advantage: it made auditing easier, helped catch illicit funds, and let everyone verify that contracts weren’t faked.
But the tide is slowly turning. On-chain finance is no longer just retail investors trading coins back and forth. Payroll, corporate settlements, institutional fund transfers, RWA assets, private contracts, and large fund trades are all moving on-chain. At this point, “full transparency” has gone from an advantage to a huge constraint.
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